All mitsumi'1s Applications !! (updated daily)

[mitsumi1]

Learn How To Get Free Products Without Being An "Influencer"
Published 4/2023
MP4 | Video: h264, 1280x720 | Audio: AAC, 44.1 KHz
Language: English | Size: 962.80 MB | Duration: 0h 42m

Research Brands, Discover Key People, Craft Your Story and Deliver a Compelling Email

What you'll learn
Research and Identify Brands That Align With Your Interests, Skill Set, Peer Group and Personal Brand
Discover How to Contact The Right Decision Makers To Get What You Want
Learn How to Position Your Personal Background Into a Compelling Story
Write and Deliver an Email to Convince a Brand To Give You Free Products

Requirements
You do NOT need to be an influencer. You do NOT need to be famous. You will learn how to present yourself in a way that brands want to support

Description
I launched this course after receiving well over $10,000 in free products from brands, without being a traditional social media influencer. Whenever I would tell someone that we received a specific product for free because I reached out to the brand, they were shocked and would naturally ask "how do you do that?" or "what do you say?" or "who did you talk to?". This course outlines the exact process I follow for every single brand I approach asking for a free product, and it will give you the framework you need to do the same thing. This method has been refined through repetition and testing, and anyone can do it. The four steps we will explore in more detail include:What to Look for When Researching BrandsDiscover the People Inside Those Brands You Should Contact (and How to Find Their Email)Craft Your Personal Story and Share How You Are Uniquely Valuable to ThemCraft a Compelling Email that Ties All of these Components TogetherIf you are someone that has always wanted the opportunity to receive free products from brands but you weren't a social media star, this is the course for you. My hope is that you will utilize this process to receive free products, and enhance other areas of your life too!

Overview
Section 1: Introduction

Lecture 1 Introduction to the Course

Section 2: IDENTIFYING BRANDS TO REACH OUT

Lecture 2 What to look for in the brands you love?

Section 3: FINDING THE RIGHT PERSON AND EMAIL FOR CONTACT

Lecture 3 Finding the right person and their email!

Section 4: CRAFTING YOUR PERSONAL BRAND INTO A STORY

Lecture 4 Crafting Your Personal Brand and Story

Section 5: WRITING THE EMAIL

Lecture 5 Writing the email that introduces yourself and has a clear ask

People that want to get free products from brands or organizations

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[mitsumi1]

Modern Android Jetpack Compose-Based Clean Architecture 2023
Published 4/2023
MP4 | Video: h264, 1280x720 | Audio: AAC, 44.1 KHz
Language: English | Size: 1.65 GB | Duration: 1h 38m

Master modern and scalable Layered Clean Architecture that leverages Jetpack Compose and MVI for declarative UI

What you'll learn
Learn how to create contemporary Android applications that are scalable and maintainable utilizing the newest tools and technologies
Apply the Layered Clean Architecture approach to your app development process
Start creating codebases that are simple to comprehend, extend, and maintain
Understand how the codebase is evolving over time and what critical point you should pay attention to
Learn how to use the Jetpack Compose framework to build user interfaces that are reactive, declarative, and easy to test
Use reactive programming techniques to create responsive and scalable apps
Benefit of using MVI presentational pattern for easier codebase on a view layer
Understand how to test and debug modern Android architecture

Requirements
At least basic Android development skills are required. This course is not recommended for complete beginners. Ideally, you should already have some Android development experience. Perfectly if you already have built some applications before and now you're looking for self-improvement in Android app development.

Description
This course is designed for all levels of Middle/Senior Android developers who wish to advance their knowledge on how to create cutting-edge, scalable, and maintainable Android applications.Throughout the course, you will learn how to apply the Clean Architecture approach to your app development process, to create a codebase that is easy to understand, maintain, and extend. You will also learn how to leverage the Android Compose framework to build user interfaces that are reactive, declarative, and easy to test.You will discover the ideas and abilities required to master Modern Android Jetpack Compose-based Clean Architecture in this course, which is organized into a series of lectures and practical activities.More precisely, you'll learn how to:Learn how to create contemporary Android applications that are scalable and maintainable utilizing the newest tools and technologies.Apply the Layered Clean Architecture approach to your app development process.Start creating codebases that are simple to comprehend, extend, and maintain.Understand how the codebase is evolving over time and what critical points you should pay attention to.Learn how to use the Jetpack Compose framework to build user interfaces that are reactive, declarative, and easy to test.Use reactive programming techniques to create responsive and scalable apps.Benefit of using MVI presentational pattern for easier codebase on a view layer.Understand how to test and debug Modern Android Architecture.By the end of this course, you will master the art of architecture extension (scalability). That means that you'll be able to start with a modest codebase that, if necessary, may be quickly developed into a large application.You will have the skills required to launch a new project or convert an outdated codebase into a professional, modern, scalable, and well-maintained Android application. You will be able to reliably provide top-notch apps to your users by applying the Layered Architecture principles, Jetpack Compose framework, and MVI presentational pattern to your projects.I'll walk you through starting with a small codebase, explaining when it has to be extended, and exactly how to do it, starting with the architectural approach and tools and concluding with the structure of the code and files.The course consists of:- 19 lectures (+1 bonus!)- 100 minutes of the high-quality video content- 4 quizzes- 2 gists- 1 complete test project that will be developed through the course (available on Github!)- A LOT of insights! I promise!All the materials leave with you forever, so you always can use code samples and test project supplied in this course as a guide for your development.

Overview
Section 1: Introduction to Modern Android Architecture

Lecture 1 What is Modern Android Architecture (MAA)

Lecture 2 Clean architecture overview. Is it still relevant to Android?

Lecture 3 Jetpack Compose UI toolkit overview. A revolution or ...?

Section 2: Suggested stack for Modern Compose-based Clean Architecture

Lecture 4 Functional programming vs OOP in MAA

Lecture 5 Proposed set of tools for MAA

Lecture 6 MVI fundamentals. Orbit MVI

Section 3: Designing MAA

Lecture 7 Plan and design layers before coding. Time is everything

Lecture 8 Layers decomposition on examples

Lecture 9 Data layer. A new home for your data

Lecture 10 Domain layer. A brain of your app

Lecture 11 View layer. It's time to present your work!

Lecture 12 How to connect layers (interfaces etc)

Section 4: Diving into advanced Modern Android Architecture design

Lecture 13 Data-driven reactive approach. Kotlin Flow

Lecture 14 Modularization learning journey

Lecture 15 Advanced View layer. Decompose like a pro

Lecture 16 Best practices for designing your app with modern Android architecture

Section 5: Testing and debugging Modern Android Architecture

Lecture 17 Unit and instrumentation testing. A key to good sleeping at night

Lecture 18 Resolving production incidents. What to do if THIS happened

Section 6: Conclusion

Lecture 19 Recap of Modern Android Architecture

Lecture 20[EXTRA] Documentation role in MAA

Middle Android developers who are looking to expand their skillset into Android development,Senior Android developers who want to upgrade their skillset to the most modern Android tech stack,Android developers that are familiar with the Android Compose framework principles and may have some practical experience with it

rapidgator.net:

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[mitsumi1]

Nutrition Course 2023
Published 4/2023
MP4 | Video: h264, 1280x720 | Audio: AAC, 44.1 KHz
Language: English | Size: 476.21 MB | Duration: 0h 51m

Fundamentals of Nutrition

What you'll learn
Demonstrate an understanding of the basic principles of nutrition, including the role of macronutrients and micronutrients in the body.
Analyze the digestive system and explain the process of nutrient absorption and transport, as well as metabolism of nutrients.
Evaluate the relationship between energy balance and weight management, and apply weight management strategies to improve overall health.
Compare and contrast the nutritional requirements and health benefits of macronutrients and micronutrients, and apply this knowledge to develop a balanced diet
Requirements
No experience needed
Description
This course covers the fundamental topics of nutrition, their role in maintaining optimal health, and the impact of various dietary patterns on health outcomes. You will cover the basics of macro and micronutrients, their sources, functions, and recommended daily intake. Students will also learn about the digestive system, metabolism, and the role of enzymes and hormones in nutrient absorption and utilization.The course will explore the relationship between nutrition and chronic diseases, including obesity, diabetes, cardiovascular disease, and cancer. Students will learn about the impact of dietary patterns on the risk of these diseases and the potential benefits of different dietary approaches. The course will also cover the basics of nutritional assessment and how to evaluate the nutritional status of individuals or populations.In addition, this course will discuss current controversies and issues related to nutrition, including the role of supplements, the impact of food processing and additives, and the role of genetic and environmental factors in nutrient utilization. Students will have the opportunity to critically evaluate nutrition research and media coverage to develop their understanding of evidence-based nutrition. Overall, this course will equip students with the knowledge and skills to make informed decisions about their own nutrition and to communicate effectively with clients or patients about nutrition-related issues
Overview
Section 1: Introduction
Lecture 1 Introduction to Nutrition
Lecture 2 Digestion & Absorption of Nutrients
Lecture 3 Energy Balance and Weight Management
Lecture 4 Macronutrients & Micronutrients
Lecture 5 Nutrition & Disease
Lecture 6 Special Topics in Nutrition
Lecture 7 Nutrition Education and Counseling
Lecture 8 Nutrition in Practice
Lecture 9 Future Directions in Nutrition
Lecture 10 Course Conclusion
Health conscious individuals

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[mitsumi1]

Probability / Stats: The Foundations Of Machine Learning
MP4 | Video: h264, 1280x720 | Audio: AAC, 44.1 KHz
Language: English (US) | Size: 2.45 GB | Duration: 6h 41m

Real-world, code-oriented learning for programmers to use prob/stats in all of CS, Data Science and Machine Learning

What you'll learn
Necessary concepts in stats and probability
Important concepts in the subject necessary for Data Science and/or ML
Distributions and their importance
Entropy - the foundation of all Machine Learning
Intro to Bayesian Inference
Applying concepts through code
Exceptional SUPPORT: Questions answered within the day. Try it!
Requirements
Basic coding knowledge
No maths background needed (beyond basic arithmetic)
Crash course of Python provided in the contents
Description
Everyone wants to excel at machine learning and data science these days -- and for good reason. Data is the new oil and everyone should be able to work with it. However, it's very difficult to become great in the field because the latest and greatest models seem too complicated. "Seem complicated" -- but they are not! If you have a thorough understanding of probability and statistics, they would be much, much easier to work with! And that's not all -- probability is useful in almost all areas of computer science (simulation, vision, game development, AI are only a few of these). If you have a strong foundation in this subject, it opens up several doors for you in your career! That is the objective of this course: to give you the strong foundations needed to excel in all areas of computer science -- specifically data science and machine learning. The issue is that most of the probability and statistics courses are too theory-oriented. They get tangled in the maths without discussing the importance of applications. Applications are always given secondary importance. In this course, we take a code-oriented approach. We apply all concepts through code. In fact, we skip over all the useless theory that isn't relevant to computer science (and is useful for those pursuing pure sciences). Instead, we focus on the concepts that are more useful for data science, machine learning, and other areas of computer science. For instance, many probability courses skip over Bayesian inference. We get to this immensely important concept rather quickly and give it the due attention as it is widely thought of as the future of analysis! This way, you get to learn the most important concepts in this subject in the shortest amount of time possible without having to deal with the details of the less relevant topics. Once you have developed an intuition of the important stuff, you can then learn the latest and greatest models even on your own! Take a look at the promo for this course (and contents list below) for the topics you will learn as well as the preview lectures to get an idea of the interactive style of learning. Remember: The reason you pay for this course is support. I reply within the day. See any of my course reviews for proof of that. So make sure you post any questions you have or any problems you face. I want all my students to finish this course. Let's get through this together.
Who this course is for
Beginner ML and data science developers who need a strong foundation,Developers curious about data science and machine learning,People looking to find out why probability is the foundation of all modern machine learning,Developers who want to know how to harness the power of big data

Download link

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[mitsumi1]

Programming Practices: Debugging And Testing Software
Published 4/2023
MP4 | Video: h264, 1280x720 | Audio: AAC, 44.1 KHz
Language: English | Size: 433.25 MB | Duration: 1h 15m

Software practices, Debugging, Software testing, software engineering, prodcutivity, unit testing, clean code

What you'll learn
Basic debugging from programming practices perspective
Techniques to deal with bugs
Testing to avoid painful debugging in future
Actionable testing and debugging techniques to improve code quality and productivity immediately
Requirements
Basic programming experience in any programming language
Description
Welcome to Debugging and Testing in Programming Practices, a one-hour course designed to help you master the art of debugging and testing your code effectively. This course covers a wide range of topics, from debugging techniques and tools to various testing methodologies, with a focus on practical programming scenarios.Note:*The content of this course is also published as part of an in-depth course titled "Programming Practices Bootcamp for production ready coding."Course Outlineebugging Course IntroductionDebugging and its importance, challenges, and techniquesDebugging Techniques and ConsiderationsStress Tests, Array Bounds, Start Small, Creating FailuresDon't Ship Test Code, Avoid Using Defaults, Test on Many MachinesTypes of TestingWhite Box Testing, Black Box Testing, User Testing, Correctness of TestsDebugging Tools and LanguagesSophisticated Tools, Errors Are Imminent, Same Time Programming As DebuggingDebugging Is Unpredictable and Time-Consuming, Techniques to Improve DebuggabilityRole of Language in DebuggingDebugger Advice and FeaturesUse Optimally, Availability, Stack Trace, Break Point, UtilityDebugger Challenges: DSL, System Dependent, Limited in Lower LevelsChoose Carefully, Don't Probe BlindlyDebugging Strategies and TipsFix Same Issue Throughout Code, Fixed Is Better Than ShippedRead Code Before Attaching Debugger, Explain Code to Someone, Collect Stack TraceSeek Patterns, Type Conversion Issues, Passing By Value and ReferenceFloat Conversion Issues, Uninitialized Variables, Start With Most Recent ChangeTesting and ToolsIntroduction, Testing Is Trying to Break Programs, Testing Can Get TrickyCode Generation, Test-Driven Development, Boundary TestingPre and Post Conditions, Using Asserts, Program Defensively, Check Errors and ExceptionsTest Automation and Systematic TestingCase for Test Automation, Automate Regression Testing, Create Self-Contained TestsDon't Reinvent The Wheel, Systematic Testing Incrementally, Start SimpleVerify Conservation Properties, Compare Independent Implementations, MeasureBy the end of this course, you'll have a solid understanding of debugging and testing techniques, and how to effectively apply them in your programming practice. With practical examples and insights, this course will help you enhance your programming skills and ensure the quality of your code. Enroll now and start mastering debugging and testing in programming practices!
Overview
Section 1: Bugs Everywhere!!
Lecture 1 Introduction
Lecture 2 Bugs seem universal
Lecture 3 More components, more complexity.
Lecture 4 Programming languages make an attempt to ease debugging but its upto you
Lecture 5 Sophisticated tools to check correctness of programs to make debugging managable
Lecture 6 Errors are imminent.
Lecture 7 You will spend same time programming and debugging during your career.
Lecture 8 Debugging can be unpredictable and time consuming at times
Lecture 9 You must invest in techniques to make your code easier to debug
Lecture 10 Role of programming language in debugging
Lecture 11 Treat tool chain warning with same rigour as bugs
Lecture 12 Programming language cannot prevent every error
Section 2: Features of a good debugger tool
Lecture 13 Ease of Availability
Lecture 14 Provision to provide Stack trace
Lecture 15 Break Points
Lecture 16 Add value to debugging experience
Lecture 17 Debugger Challenges when dealing with Domain Specific Languages
Lecture 18 Debugger Challenges around platform dependencies
Lecture 19 Debugger limitation
Lecture 20 Does one need to be cautious while choosing a debugger?
Lecture 21 Blind probing does not count as debugging!
Lecture 22 Using tool is not the primary objective!
Section 3: Debugging with sufficient clues and easy bugs
Lecture 23 Its always the world at fault.
Lecture 24 Collect the stack trace
Lecture 25 Reason backward as if solving a mystery.
Lecture 26 Seek Patterns
Lecture 27 Type Of conversion Issues
Lecture 28 When to pass by value or pass by reference?
Lecture 29 Float conversion issues
Lecture 30 Uninitialized Variables
Lecture 31 Start with recent changes
Lecture 32 Eradicate the issue not just fix an instance
Lecture 33 Shipped is better than perfect. Fixed is better than shipped!
Lecture 34 Debugger is not a tool to read code!
Lecture 35 Take help of peers as sounding board
Section 4: No Clues, Hard Bugs
Lecture 36 Reproduce the issue
Lecture 37 Programmatic Reproduction of issue
Lecture 38 Document the Inputs causing issues
Lecture 39 Observer the changes that make issue disappear
Lecture 40 Study the frequency of Failure
Lecture 41 Track intermediate outputs
Lecture 42 Self Checking Code
Lecture 43 Recording progress via log files
Lecture 44 Use block diagrams to "see" the issue
Lecture 45 Environment compatible tools
Lecture 46 Document the investigations
Lecture 47 Finally you may attach a debugger
Section 5: Non Reproducible Bugs.
Lecture 48 The black swans. The Ghost On the machine
Lecture 49 Niche bugs
Lecture 50 Other people's bugs
Section 6: Testing
Lecture 51 Motivation
Lecture 52 Testing is not debugging!
Lecture 53 Testing isn't obvious!
Lecture 54 Testing benefits from codegeneration.
Section 7: Test as you Code
Lecture 55 Test as you develop / Test Driven Development
Lecture 56 Boundary Testing
Lecture 57 Pre condition and post condition testing
Lecture 58 Use assert statements
Lecture 59 Program Defensively
Lecture 60 Check for errors and exceptions as you are coding
Section 8: Automation is a boon!
Lecture 61 Test automation is becoming mandatory
Lecture 62 Automate your regression Testing
Lecture 63 Create Self Contained Tests
Lecture 64 Don't reinvent the wheel
Section 9: Systematic Testing
Lecture 65 Testing incrementally is recommended
Lecture 66 Start with simple use cases
Lecture 67 Verify Conservation Properties
Lecture 68 Compare Independent Implementations
Lecture 69 Measure what matters
Section 10: Other consideration while testing software
Lecture 70 Stress Test
Lecture 71 Array bounds
Lecture 72 Start with small data
Lecture 73 Simulating or generating failure scenarios
Lecture 74 Don't ship the test code!!
Lecture 75 Case for not using default values in test cases
Lecture 76 Tests in multiple environments
Lecture 77 White box testing
Lecture 78 Black Box Testing
Lecture 79 User Testing
Lecture 80 Correctness of tests?
Lecture 81 Apply the knowledge!
Section 11: Conclusion
Lecture 82onus Lecture
Beginner software developers,Computer Science students,People curious to build skill of writing production ready code,People curious to learn programming beyond competetive portal coding

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[mitsumi1]

Programming Practices: Performance
Published 4/2023
MP4 | Video: h264, 1280x720 | Audio: AAC, 44.1 KHz
Language: English | Size: 254.24 MB | Duration: 0h 52m

Software Practices, Software performance, Andahl's law, Profiling, Optimization

What you'll learn
Role of programming practices and coding standards in delivering high performance
Choosing battles to fix performance issues
Avoiding premature optimization
Writing human readable code that machines execute at optimal performance.
Requirements
Basic programming knowledge in any programming language.
Description
In this course, you'll learn about the principles, techniques, and best practices to optimize your code's performance. We'll cover everything from Amdahl's Law to performance engineering and optimization strategies, including measuring, profiling, and code tuning. By the end of the course, you'll have a solid understanding of how to improve your code's performance and ensure efficient resource utilization.Note:*The content of this course is also published as part of an in-depth course titled "Programming Practices Bootcamp for production ready coding."Course Outline:Course IntroductionImportance of performance optimization in programmingAmdahl's Law and its implicationsPerformance Engineering ApproachPremature optimization vs. performance engineeringPrinciples of optimization and performance measurementEstablishing a baseline and picking your battlesTiming and ProfilingAutomated measurements and using profilersIdentifying hotspots and understanding the cost of profilingProfiling with external parametersStrategies for Speed OptimizationAppropriate algorithm selectionCompiler optimizationsCode tuning and targeted changesCode Tuning TechniquesCollecting common sub-expressionsChoosing cheaper alternativesLoop unrolling, caching, and dedicated allocatorsBuffering and handling special cases separatelyPrecomputing results and approximating valuesSpace Efficiency: Memory and StorageUnderstanding the trade-offs between space and performanceChoosing the right data types and complex data structuresBalancing storage and computationStoring data efficientlyBy the end of this course, you'll have gained the skills and knowledge to analyze and improve the performance of your code. You'll be able to apply various optimization techniques and strategies to ensure that your programs run efficiently and make the best use of available resources. Enroll now and start optimizing your code for better performance!
Overview
Section 1: Introduction
Lecture 1 Introduction
Section 2: Amdahl's law
Lecture 2 The definition
Lecture 3 Basic premise
Lecture 4 Vertical Scaling: The tried and tested ad-hoc solution in cloud
Lecture 5 The Premature Optimization
Lecture 6 The performance engineering approach (recommended)
Section 3: Performance Overview
Lecture 7 Section introduction
Lecture 8 First principles of optimization
Lecture 9 Question the needs of optimization
Lecture 10 Pick your battles
Section 4: Basic steps of extracting performance
Lecture 11 Keep it simple
Lecture 12 Measure what matters
Lecture 13 Start with compiler options
Lecture 14 Assess Necessary changes first!
Lecture 15 Incremental changes
Lecture 16 Identify a baseline
Section 5: Basic guidelines for performance
Lecture 17 Introduction
Lecture 18 Repeat measurements before assuming the numbers are final
Lecture 19 Emulate processes for Testing
Lecture 20 Good design always pays off in the longer run
Section 6: Timing and profiling when working with performance
Lecture 21 Automate Measurements
Lecture 22 Use a profiler
Lecture 23 Identify hotspots
Lecture 24 Does profiling incur any cost?
Lecture 25 Do external parameters affect profiling?
Section 7: Strategy For Speed
Lecture 26 Does choice of algorithms affect performance?
Lecture 27 Role of compiler optimizations in performance
Lecture 28 Tuning code for performance
Lecture 29 Change only what matters
Section 8: Code Tuning
Lecture 30 Collect Common subexpressions
Lecture 31 Should one use cheaper alternative to sophiticated code?
Lecture 32 Loop unrolling
Lecture 33 Caching to the rescue
Lecture 34 Dedicated allocators
Lecture 35 Buffering for performance?
Lecture 36 Handling special cases
Lecture 37 Precomputing Results
Lecture 38 Does one always need precise values?
Section 9: Space Efficiency
Lecture 39 Memory and Storage scarcity?
Lecture 40 Role of appropriate Data type
Lecture 41 Storage compute tradeoff
Lecture 42 Complex data types
Lecture 43 Storing data efficiently
Section 10: Estimation
Lecture 44 Language model
Lecture 45 Operations like IO
Section 11: Conclusion
Lecture 46onus Lecture
Beginner programmers,Early stage software professionals,Computer science students,Anyone who has recently learned a programming language

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[mitsumi1]

Programming Practices: Portability And Notation In Software
Published 4/2023
MP4 | Video: h264, 1280x720 | Audio: AAC, 44.1 KHz
Language: English | Size: 376.93 MB | Duration: 1h 6m

Software practices, Portability, Notation, Software Engineering, Software prodcutivity, Production issues

What you'll learn
Importance of portability in modern cloud deployed software
Basic poratability issues that still persist across many mainstream languages
Importance of notation in maintainable software
Applying the simple techniques to ensure high quality software deliverables without rework
Requirements
Basic knowledge of any programming language
Description
This course focuses on programming practices that ensure code portability and effective notation. You will learn how to write portable code that works across different environments and platforms, as well as mastering the art of notation to improve code readability and maintainability. By the end of the course, you'll be able to develop software that is easily adaptable to new environments and write clean, understandable code.Note:*The content of this course is also published as part of an in-depth course titled "Programming Practices Bootcamp for production ready coding."Course Outline:Introduction to Portability and NotationThe importance of portability and notation in programmingChallenges and benefits of writing portable code and effective notationProgramming Tools for PortabilityInterpreted languages, compiled languages, and virtual machinesParsers, expression trees, code generation, and just-in-time compilationVersion compatibility, team effort, and ideal use casesDeployment and InfrastructureInstallers, containers, and environment considerationsContinuous Integration (CI) and Continuous Deployment (CD)Infrastructure as Code (IaC) and reproducible infrastructureGood Practices for PortabilityWriting code for heterogeneous environmentsConsistent source code and mainstream standardsHandling language-specific problems and system interfacesNotation and ReadabilityChoosing the right language and learning the right toolsFormatting data and regular expressionsProgrammable tools and domain-specific languagesAdvanced Topics in Portability and NotationRegex complexity and patterns of literalInterpreters, compilers, and virtual machines in depthThe role of notation in insight and the necessity of formatting dataBy the end of this course, you'll have gained the skills and knowledge necessary to write portable, adaptable code and improve your code's readability through effective notation. Enroll now and start enhancing your programming practices for better software development outcomes!
Overview
Section 1: Introduction
Lecture 1 Introduction
Section 2: Good practices to follow whenever writing any code
Lecture 2 Code is vulnerable to heterogenous Enviroments
Lecture 3 Consistent Source Code
Lecture 4 Use mainstream practices.
Lecture 5 Programming Language related issues
Section 3: Good practices from a programming language perspective
Lecture 6 Size of data types
Lecture 7 Order of evaluation
Lecture 8 Signs of sign issues
Lecture 9 Logical shift
Lecture 10 Byte Order
Lecture 11 Byte Alignment of Classes
Section 4: Enviroments
Lecture 12 Multiple compilers
Lecture 13 Prefer libraries over reinventing the wheel
Lecture 14 Program organization matters
Section 5: System Interface good practices from a Portability perspective
Lecture 15 Isolation
Lecture 16 Data exchange from portability perspective
Lecture 17 Byte Order
Lecture 18 Upgrade considerations from portability perspective
Section 6: Notation practices in programming
Lecture 19 Notation overview
Lecture 20 Choose the right programming language for your problem statement
Lecture 21 Learn the right tools
Section 7: Notation good practices
Lecture 22 Formatting data
Lecture 23 Regular Expressions
Lecture 24 Programmable Tools
Lecture 25 Interpreters, Compiler, Virtual Machines
Lecture 26 Code Generation
Lecture 27 Just in time compilation
Section 8: Notation: Formatting data
Lecture 28 Necessity
Lecture 29 Role of Notation In Insight
Lecture 30 Domain specific Languages
Section 9: Notation: Regular Expression
Lecture 31 Complexity
Lecture 32 Pattern of literals
Lecture 33 Don't underestimate the utility of regex
Section 10: Programmable Tools
Lecture 34 Overview
Lecture 35 Necessity of the intermediate representations
Lecture 36 Interpreted languages
Lecture 37 Compiled Languages
Lecture 38 Virtual Machines
Lecture 39 Parsers
Lecture 40 Expression trees
Section 11: Code Generation
Lecture 41 Basic concept
Lecture 42 Just in time compilation
Section 12: Software engineering perspective on portability : Installers
Lecture 43 Purpose
Lecture 44 Enviromental considerations
Lecture 45 Version compatability
Lecture 46 Software is a team sport
Lecture 47 Ideal use cases for installers
Lecture 48 Containers are installers
Section 13: Continuous integration and continuous deployment
Lecture 49 Continuous integration
Lecture 50 Continuous deployment/Delivery
Section 14: Infrastructure as code to acheive portability
Lecture 51 Consistent deployments
Lecture 52 Reproducible infrastructure
Lecture 53 Maintainable configuration
Lecture 54 Portability in production
Beginner software engineers,Anyone who has learned a programming language recently,Computer science students

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[mitsumi1]

Programming Practices: Style
Published 4/2023
MP4 | Video: h264, 1280x720 | Audio: AAC, 44.1 KHz
Language: English | Size: 371.96 MB | Duration: 1h 15m

Software Practices, Programming Style, Productivity, Clean code, software engineering

What you'll learn
Importance of programming style in stable software
Techniques to achieve a productive programming style across team
Considerations to ensure style doesn't become a point of debate among teams and a time sink.
Examples that can be easily mapped to daily production code
Requirements
Basic knowledge of any programming language
Description
This course teaches you the importance of programming practices and style, and how to write clear, maintainable code. You will learn various techniques for naming variables and functions, indentation, formatting, and avoiding common pitfalls in code readability. By the end of the course, you will have a solid understanding of how to write code that is easy to read, understand, and maintain, making you a more effective programmer.Note:*The content of this course is also published as part of an in-depth course titled "Programming Practices Bootcamp for production ready coding."Course Outline:Introduction to Programming Practices and StyleThe importance of nurturing good style in programmingWriting code for humans and letting common sense prevailNaming ConventionsDesired characteristics of variable and function namesType in variable names and use verbs for function namesRemoving ambiguity and maintaining consistencyIndentation and FormattingUtilizing IDEs and configuration files for formattingAligning code for readability and understandingIndentation, expression, and statement writing tipsComments and DocumentationWriting comments for humans and their importanceBalancing valuable comments with code readabilityProper use of comments and avoiding bad practicesCode Readability and ComplexityWriting code in a natural, understandable formAvoiding complex expressions and unnecessary clevernessCaution against side effects and prioritizing ease of understandingControl Structures and Language FeaturesProper use of if-else, switch-case, and other control structuresMacro myths and avoiding multiple evaluationsMagic numbers, constants, and other code readability concernsConsistency and AdaptabilityConsistency over style: when to adapt existing code styleUnderstanding that programming languages are like natural languagesPreserving style within existing codebasesBy the end of this course, you will have developed the skills to write clean, maintainable, and easy-to-understand code, making you a more effective programmer. Enroll now and improve your programming practices and style for a successful career in software development.
Overview
Section 1: Introduction
Lecture 1 Introduction
Section 2: Why does programming style matter?
Lecture 2 Necessity for nurturing good practices
Lecture 3 You write higher level languages for humans
Lecture 4 Let common sense prevail
Section 3: Naming Desired Characteristics
Lecture 5 Introduction
Lecture 6 Be concise
Lecture 7 Informative
Lecture 8 Memorable
Lecture 9 Pronouncable
Lecture 10 Naming and scope
Section 4: Variable Names
Lecture 11 Choosing variable names
Lecture 12 Always avoid using the word "always"
Lecture 13 Rules are local
Lecture 14 Use of type in variable names
Lecture 15 Using as functionality indicator
Lecture 16 Preference of spelling
Lecture 17 Quick Assignment
Lecture 18 Issues in code
Lecture 19 Solution and the fixed code
Section 5: Function naming
Lecture 20 Overview
Lecture 21 Use verbs
Lecture 22 Remove ambiguity
Lecture 23 Example walkthrough
Lecture 24 Solution
Section 6: Indentation
Lecture 25 Introduction
Lecture 26 Use IDE optimally
Lecture 27 Format configuration files
Lecture 28 Formatting as a build step
Lecture 29 Formatting earlier than build
Section 7: Expressions and statments
Lecture 30 Write as you want to read
Lecture 31 Use natural expression
Lecture 32 Parenthesize
Lecture 33 Code Example
Section 8: Complexity in expressions and statements
Lecture 34 Avoid complexity
Lecture 35 Languages trust programmers
Lecture 36 Cost of cleverness
Lecture 37 Abuse of bitwise operators
Lecture 38 Abuse of ternary operators
Lecture 39 Ease of understanding the code is paramount
Lecture 40 Caution against side effects
Section 9: Consistency and Idioms
Lecture 41 Consistency over style
Lecture 42 Arguments are waste of time
Lecture 43 Preserve style
Lecture 44 Natural language perspective
Lecture 45 Conventional approach
Lecture 46 A case for else-if
Lecture 47 Switch case and reality
Section 10: Still using Macros?
Lecture 48 Macro Myths
Lecture 49 Multiple evaluations?
Lecture 50 Parenthesize!
Section 11: Magic numbers
Lecture 51 Introduction
Lecture 52 Constants and magic numbers
Lecture 53 Using character constants
Lecture 54 Computing Array size in C
Section 12: Comments
Lecture 55 Comments are for humans
Lecture 56 Global variables and comments
Lecture 57 Comments and bad code
Lecture 58 Add values not confusion
Section 13: Conclusion
Lecture 59 Closing remarks
Lecture 60onus lecture
Beginner developers in any programming language,Computer science students,Software professionals in early stages of their careers,Anyone who has recently learned a programming language and wishes to pursue a career as software developer

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[mitsumi1]

Software Career Bootcamp: Career Planning And Interviews 101
Published 4/2023
MP4 | Video: h264, 1280x720 | Audio: AAC, 44.1 KHz
Language: English | Size: 1.35 GB | Duration: 4h 33m

Career Planning, System design interview, software engineer, career development, interviewing skills

What you'll learn
Planning a career change in software industry
Limitations of career profiles
Strategies to stagger learning to grow as well as excel in interview without burning out
Thinking with a growth mindset instead of chasing designations and trends
Not falling for scamming interview portals selling incompatible dreams and false hopes.

Requirements
No programming experience needed.

Description
Welcome to Career Planning and Interview Preparation for Success, a comprehensive one-hour course designed to help you plan your career and prepare effectively for interviews. This course covers a wide range of topics, from identifying your dream job and understanding the competition to navigating the interview process and avoiding burnout.Course Outline:Avoid BurnoutStrategies for maintaining a healthy work-life balanceCourse StructureAn overview of the course content and objectivesDream JobIntroduction and ProximityCollege Ranking, Research, and AssignmentsOutsider ProtocolIntro, Theory, Hands-On, Resume, and SalaryProcesses, Warning, and Yearly ProgressInterviewPreparing for the big day and important remindersPurposeSection Intro, Immigration ChallengesService/Product Switch, Domain Switch, Stack SwitchInterview ProcessVariations in Duration, Location, and RoundsUnderstanding the Interviewer's PerspectiveVulnerabilitiesDomain Expertise, Framework Expertise, Programming LanguageSupply and DemandTech Life Span, Breadth vs. Depth, Gig EconomyUnderstanding the Job DescriptionUnderstanding CompetitionUncertainty and Role, Competition DistributionGauging Competition: Software Engineer, Senior Software Engineer, Technical LeadersFoundationSection Intro, Interview Process, Purpose, Systems, ComponentsReinforcementSection Intro, Interview Process, Purpose, Systems, ComponentsConversationSection Intro, Interview Process, Purpose, Systems, ComponentsEndgameSection Intro, Interview Process, Purpose, Systems, ComponentsBy the end of this course, you'll have a clear understanding of the steps needed to plan your career and prepare for interviews effectively. With practical advice and strategies for success, this course will guide you towards achieving your career goals and landing your dream job. Enroll now and begin your journey to career success!

Overview
Section 1: Introduction

Lecture 1 The objective of Course is to help your protect yourself from Burnout!

Lecture 2 Course Structure with rationale for the unconventional career development course

Section 2: The illusions of Dream Job

Lecture 3 Section Introduction

Lecture 4 The factor of proximity in the dream job fallacy

Lecture 5 Influence of college ranking in career development

Lecture 6 The secret of Research Labs and industry connections defining you career

Lecture 7 Formal education manufactures the X-factor of experience to boost careers

Section 3: The unspoken "Outsider protocol" that decides careers even before they start

Lecture 8 Section Introduction

Lecture 9 The role of academics and Theory in your career development

Lecture 10 The impact of hands on experience in propelling your career in early stages

Lecture 11 The "resume" that attarcts recruiters

Lecture 12 The realistic compensation factor that will shape your career

Lecture 13 Software careers are built based on processes not marksheets or degrees!

Lecture 14 Beware of differnce between the job description jargon and actual on job metrics

Lecture 15 Outsider Protocol in action: Software career development comparison - Year 1

Lecture 16 Outsider Protocol in action: Software career development comparison - Year 2

Lecture 17 Outsider Protocol in action: Software career development comparison - Year 3

Lecture 18 Outsider Protocol in action: Software career development comparison - Year 4

Lecture 19 Outsider Protocol in action: Software career development - Year 5 Other three

Lecture 20 Outsider Protocol in action: Software career development: The lost generation

Section 4: Careers are shaped around Purpose not designation and compensations

Lecture 21 Purpose is the most important factor in career development

Lecture 22 Choosing career development and transitions for Immigration goals

Lecture 23 Challenges when switching between IT Services and Software product development

Lecture 24 Challenges while switching between domains for career growth

Lecture 25 Changing technical stack for career development and challenges involved

Section 5: Understanding the Interview Processes to manage your personal time investments

Lecture 26 Section Introduction

Lecture 27 Accounting for variable interview process durations

Lecture 28 The location of interview can play in role in your preparation

Lecture 29 Being aware of the ever changing landscape of interview rounds

Lecture 30 The biggest unkown factor in interviews in the Interviewer!

Section 6: Vulnerabilities in your expertise ( solution later in the course)

Lecture 31 Domain expertise vulenrabilities in career development

Lecture 32 The life on the edge for the Framework Experts

Lecture 33 Programming language experts and the brittle bubble they live in

Section 7: Assessing you career development from a Supply demand or recruitment perspective

Lecture 34 The technologies are prone to trends and fashions

Lecture 35 The role of breadth of knowledge and depth of knowledge in career development

Lecture 36 GigEconomy is transforming the notion of career in software engineering

Lecture 37 The skill of reading between the lines of a job descriptions!

Section 8: Quantify your competition to set realistic career goals

Lecture 38 Who are you actually competing against in the job market anyway?

Lecture 39 With higher roles comes more uncertainty!

Lecture 40 The competition distribution from expertise vulnerability perspective

Lecture 41 Competition distribution of software engineer talent pool ( 20-25 years appx. )

Lecture 42 Competition distribution for Senior Software Engineer talent pool ( 26-30 years)

Lecture 43 Competition distribution: Tech Lead/ Engineering Manager (30 - 35 appx)

Section 9: Foundation phase of career transition plan[9-12 months before interview]

Lecture 44 Section Introduction

Lecture 45 Alignment with the interview process variables

Lecture 46 Aligning with your Purpose goals

Lecture 47 Getting ready for dealing with bigger System

Lecture 48 Preparing for technical components from system design interview perspective

Section 10: Reinforcement Phase[6-9 Months before the interview]

Lecture 49 Section overview

Lecture 50 Interview process factors

Lecture 51 Purpose

Lecture 52 Systems Design interview Preparation

Lecture 53 Components preparation

Section 11: Convergence Phase[3-6 months before the interview]

Lecture 54 Section Overview

Lecture 55 Interview Process

Lecture 56 Purpose

Lecture 57 Systems

Lecture 58 Components for system design interview

Section 12: Endgame[0- 3 months before interview]

Lecture 59 Section Overview

Lecture 60 Interview process

Lecture 61 Purpose

Lecture 62 System design interview

Lecture 63 Components

Section 13: The final countdown: The day of the interview

Lecture 64 Section Overview

Lecture 65 The day of the interview

Lecture 66 Realistic reminders about the interview

Software professionals seeking advice to avoid burnout early in career,Software professionals interested in building a long career,Anyone interested in building a career in software industry.

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[mitsumi1]

The Complete Masterclass For Grpc In .Net (.Net 8)
Published 4/2023
MP4 | Video: h264, 1280x720 | Audio: AAC, 44.1 KHz
Language: English | Size: 2.09 GB | Duration: 4h 30m

From zero to hero: learn to use the high-performance gRPC framework to enhance your HTTP communications !

What you'll learn
how to create a gRPC client FROM SCRATCH in any .NET app
how to create a gRPC server FROM SCRATCH in any .NET app
how to stream data from server to client and reversly
implement security with SSL certificates
use advanced features like deadlines or reflection
integrate gRPC services in an ASP NET web api
communicate from ASP NET Razor Page or Blazor WASM with gRPC APIs
Requirements
No prior gRPC knowledge needed
Familiarity with C# and .NET development
Basic knowledge of HTTP and RESTful APIs
Description
gRPC is a high-performance, cross-platform framework for building scalable APIs. In this course, you will learn how to leverage the power of gRPC to create fast and reliable APIs in .NET 8.gRPC is designed to be fast, efficient, and lightweight. It uses binary serialization instead of text-based protocols like JSON or XML, which can significantly reduce network traffic and improve performance. Additionally, gRPC uses HTTP/2, which enables multiplexed streams, header compression, and server push, further improving performance and reducing latency.In this course, you'll start by exploring the basics of gRPC, including how to create unary requests and responses. You'll learn how to define gRPC services and messages using Protocol Buffers, a language-agnostic binary serialization format that is used by gRPC. You'll also learn how to generate C# code from .proto files using the gRPC*tools in .NET, and how to use the generated code to create gRPC clients and servers.Next, you'll move on to more advanced topics, such as streaming and SSL security. You'll learn how to use server streaming and client streaming to send and receive multiple messages over a single connection. You'll also learn how to secure your gRPC communications using SSL certificates.You'll also learn how to integrate gRPC with ASP.NET, the popular web application framework for .NET. You'll learn how to create gRPC services using ASP.NET Core, and how to use middleware to add authentication, authorization, and other functionality to your gRPC endpoints. You'll also learn how to host your gRPC services in a web application and how to consume them from gRPC clients, especially with Blazor WebAssembly.By the end of the course, you'll be able to build robust and efficient APIs using gRPC and .NET 8, and you'll have a deep understanding of the benefits of using gRPC over other API protocols.Topics covered:Introduction to gRPCCreating unary requests and responsesProtocol BuffersGenerating C# code from .proto filesStreaming with gRPCSecuring gRPC with TLS and SSL certificatesIntegrating gRPC with ASP.NETHosting gRPC services in a web applicationConsuming gRPC services from browser-based clients, such as Blazor WebAssembly, with gRPC-WebPrerequisites:Familiarity with C# and .NET developmentBasic knowledge of HTTP and RESTful APIsTarget audience:.NET developers who want to learn how to use gRPC to build high-performance APIsAnyone interested in learning about the benefits of gRPC over other API protocols
Overview
Section 1: Introduction
Lecture 1 Let me introduce myself
Lecture 2 Theory (the only video about theory!)
Section 2: Learning the basics
Lecture 3 Creation & configuration of the console applications
Lecture 4 Our first Protobuf contract!
Lecture 5 gRPC client & server boilerplate code
Lecture 6 Let's make a request... and get a response!
Lecture 7 Exercise 1: what should you do?
Lecture 8 Exercise 1: implementation
Lecture 9 What about collections in my messages?
Lecture 10 Exercise 2: implementation
Lecture 11 Stream data from the server to the client
Lecture 12 Stream data from the client to the server
Lecture 13 Stream data in both ways!
Lecture 14 Time to practice! Exercise 3 - pagination
Section 3: Advanced concepts
Lecture 15 Namespaces
Lecture 16 Create reusable types in your protobuf contracts
Lecture 17 Well-known types, or how to integrate common types like DateTime, TimeSpan, ...
Lecture 18 About enums
Lecture 19 Handle timeouts and cancellation
Lecture 20 Secure communication with SSL certificates
Lecture 21 Expose reflection capabilites
Section 4: Integrate gRPC with ASP.NET
Lecture 22 Add proto files to ASP.NET
Lecture 23 Add gRPC services in ASP.NET pipeline to handle requests
Lecture 24 Create a login endpoint
Lecture 25 Verify the token and secure the gRPC endpoint
Lecture 26 gRPC in the browser - Blazor WebAssembly - Introduction
Lecture 27 Fix the issues in our Blazor WASM application by using gRPC-Web
.NET developers who want to learn how to use gRPC to build high-performance APIs,Anyone interested in learning about the benefits of gRPC over other API protocols

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[mitsumi1]

The Metanoia
Published 4/2023
MP4 | Video: h264, 1280x720 | Audio: AAC, 44.1 KHz
Language: English | Size: 779.78 MB | Duration: 1h 0m

Activate your energy body to balance and beautify your life!

What you'll learn
Learn how spiritual authority has corrupted our connection to the Divine
Learn how to correctly utilize prayer in order to improve your life
Learn how to properly move energy through your body to balance vital systems
Learn how to amplify your authentic nature in order to help others
Requirements
An open mind is required
Meditation experience recommended
Description
What does it mean to exercise true faith in this day and age? Is it a religious undertaking, spiritual, personal, or somewhere in-between all three? How has religious and spiritual authority stolen our inborn right to exercise this faith in the form of manifestational prayer? And most importantly, how do we reclaim our faith and prayer in order to raise our vibrations and become superhumans here on Earth? By implementing a powerful energetic technique designed to expand our consciousness, spoken of in the bible by Christ himself, you will come to understand your own power, learn to focus it, and use it to aid the evolution of humanity at large. Join Zane Wheeler on an unforgettable journey into the very nature of your soul. With 20+ years in the healing field, Zane shares time-tested methods of energy clearing and trauma healing that can be performed in the safety of your own home! Zane's techniques of personal evolution are life-changing and are sure to set your heart ablaze so you can both find your true path through life AND*enjoy the pleasure of influencing others to find their unique power as well. Waste not a second longer and commit to bettering yourself through the amazing modules of Shadow to Shine Online starting right here with The Metanoia!
Overview
Section 1: Welcome to S2SO Module 1 - The Metanoia
Lecture 1 Hello and Welcome from Zane!
Section 2: Lecture 1: Understanding the Matrix
Lecture 2 Understanding the Matrix
Section 3: The Faith Paradox
Lecture 3 Lecture 2 : The Faith Paradox
Section 4: Lecture 3: Creative Awakenings and The Metanoia
Lecture 4 Creative Awakenings and the Metanoia
Section 5: Congratulations! Module Complete.
Lecture 5 Well done!
Spiritual seekers looking to maximize their potential and step into their power!

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[mitsumi1]

Yoga For Diabetes With Dolly Jain
Published 4/2023
MP4 | Video: h264, 1280x720 | Audio: AAC, 44.1 KHz
Language: English | Size: 3.33 GB | Duration: 2h 46m

Yoga and Exercise for Diabtes or Pre-diabetic

What you'll learn
Great complimentary therapy for people living with diabetes
Potentially reduces the dependency of medication
Reduces stress, which in turn reduces blood glucose levels
Promotes relaxation, reduces anxiety, improves sleep quality
Stimulates parasympathetic nervous system
Improved circulation, preventing complications such as diabetic neuropathy
Reduce risk of falls ans injuries by improving flexibility, strength and balance
With relaxation techniques reduce inflammation in the body and manage insulin levels

Requirements
This course is designed for students, not teachers
Course is designed to be simple and easy to follow for even complete beginners
Although it is made to suit all, its best you consult your physician before you get started
You will need a mat and a comfortable space to practice

Description
Yoga can be a great complementary therapy for people living with diabetes. This ancient practice combines physical postures, breathing exercises, and meditation to help reduce stress, improve circulation, and promote overall well-being. By incorporating yoga into your daily routine, you can help manage your diabetes and potentially reduce your need for medication.One of the most important benefits of yoga for diabetes is stress reduction. Stress is a major factor in the development and management of diabetes, as it can cause the body to release hormones that raise blood sugar levels. Yoga can help lower stress levels by promoting relaxation, reducing anxiety, and improving sleep quality. Certain yoga poses, such as forward folds and gentle twists, can also stimulate the parasympathetic nervous system, which helps calm the body and reduce stress.Another benefit of yoga for diabetes is improved circulation. Diabetes can cause circulation problems, which can lead to nerve damage and other complications. Yoga can help improve blood flow to the feet and legs, which can help prevent complications such as diabetic neuropathy.Yoga can also help improve flexibility, strength, and balance. This is important for people living with diabetes, as they are at higher risk for falls and injuries. Certain yoga poses, strengthen the legs, improve balance, and promote overall mobility.Before starting a yoga practice, it is important to consult with your healthcare provider, especially if you have any complications from diabetes such as neuropathy or retinopathy.In conclusion, yoga can be a helpful tool for people living with diabetes. By reducing stress, improving circulation, and promoting overall well-being, yoga can help manage diabetes and potentially reduce the need for medication.

Overview
Section 1: Know your teacher

Lecture 1 Introduction about your teacher

Lecture 2 About the Course

Section 2: About diabetes

Lecture 3 Yoga a holistic approach for Diabetes

Section 3: Course

Lecture 4 Practice 1 (Monday)

Lecture 5 Practice 2 (Wednesday)

Lecture 6 Practice 3 (Friday)

Section 4: Yoga Nidra

Lecture 7 Yoga Nidra guidance

Patients of Type-2 diabetes,Pre-diabetics,Individuals who are prone to diabetes due to lifestyle habits, rotational work shifts and family history,Designed for students, not teachers

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[mitsumi1]

Chatgpt For Music Business | Music Industry 101 With Chatgpt
Published 4/2023
MP4 | Video: h264, 1280x720 | Audio: AAC, 44.1 KHz
Language: English | Size: 1.31 GB | Duration: 2h 39m

Music Industry Takeover Secrets | Use CHATGPT as your secret weapon to create success within the music business.

What you'll learn
Learn how to use CHATGPT to create effective and personalized marketing campaigns for music events, releases, and merchandise.
Learn how to leverage CHATGPT to gather valuable customer insights and use them to make data-driven decisions.
Learn how to leverage CHATGPT to create music contracts
Learn how to analyze and interpret CHATGPT-generated data to identify trends, opportunities, and areas for improvement in music business operations.
Learn how to leverage CHATGPT to create your own music tour
Learn how to leverage CHATGPT to Build your own radio and dj contact list
Learn how to leverage CHATGPT to contact influencers to build out marketing strategies
Requirements
No requirements needed, just need to be ready to learn!!
Description
CHATGPT for Music Business is an innovative course designed to equip students with the knowledge and skills necessary to navigate the rapidly evolving music industry using artificial intelligence. This course will provide students with an in-depth understanding of the capabilities of CHATGPT and its applications in the music business.The course is structured to provide students with an understanding of the basics of the music industry and how it has evolved over the years. This will include an overview of the different roles and functions within the industry, including publishing, licensing, marketing, and distribution. Students will also explore the latest trends and emerging technologies, and how they are transforming the industry.Through a combination of lectures, case studies, and hands-on projects, students will learn how to leverage CHATGPT to gain insights into consumer behavior, analyze market trends, and create effective marketing campaigns. They will also learn how to use the technology to optimize business processes, such as contract management, royalty tracking, and copyright protection.Upon completion of this course, students will have a comprehensive understanding of the role of artificial intelligence in the music industry and will be equipped with the skills needed to succeed in this fast-paced and dynamic field.
Overview
Section 1: CHATGPT For Music Business
Lecture 1 Using CHATGPT to start your music journey
Lecture 2 Using CHATGPT to Create a Music Rollout Plan
Lecture 3 Using CHATGPT to create Music Contracts
Lecture 4 Using CHATGPT to Develop High Level Marketing tactics
Lecture 5 Using CHATGPT to pitch music to Spotify curators and YouTube Channels
Lecture 6 Using CHATGPT to get music to the djs and radio stations
Lecture 7 Using CHATGPT to set up a music tour
Lecture 8 Close Out
Section 2: Legacy (CHATGPT FOR SONGWRITING)
Lecture 9 Use ChatGPT for Song Ideas
Lecture 10 Use ChatGPT for Chorus
Lecture 11 Placing CHATGPT words on beats properly.mov
Lecture 12 Use ChatGPT for Verses
Lecture 13 Use ChatGPT for Complete Songs
Lecture 14 Create metaphors & similes with CHATGPT.mov
This course is for everyone, from beginners to experts in the music business.

Download link

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[mitsumi1]

Daily Software Engineering: Practical Sdlc Overview
Published 4/2023
MP4 | Video: h264, 1280x720 | Audio: AAC, 44.1 KHz
Language: English | Size: 306.26 MB | Duration: 0h 47m

SDLC, Software engineering, Software Practices, Career Development, How software engineering works?

What you'll learn
The flow of communication in software organizations
The basic information exchange that takes an idea and shapes it into a software product
The basics of outsourcing in Software or IT companies.
Roles involved in creation of features, bugs and support tickets in a software hierarcy

Requirements
No programming experience needed.

Description
Welcome to SDLC: A Daily Engineering Perspective, a one-hour course designed to provide you with a practical understanding of how requirements are transformed into features across a software engineering hierarchy, without delving into methodologies like Scrum or Agile. This course also focuses on the journey of support tickets and bug reports through the hierarchy, providing you with a comprehensive understanding of the software development life cycle (SDLC) from a day-to-day engineering viewpoint.Course Outline:The NecessityUnderstanding the importance of SDLC from an engineering perspectiveSoftware Reaching End UserHow software products and features are delivered to end usersEngineering Organization: Connecting Roles to the CourseOverview of the various roles in a software engineering hierarchy and their responsibilitiesFeature WorkflowHow requirements are translated into features throughout the engineering hierarchyThe role of each team member in the feature development processBug WorkflowJourney of bug reports through the engineering hierarchyThe roles and responsibilities of each team member in identifying, diagnosing, and resolving bugsSupport Ticket WorkflowHow support tickets are processed and resolved across the engineering hierarchyThe role of each team member in providing customer support and ensuring user satisfactionOutsourcingUnderstanding the role of outsourcing in software development projectsInfrastructure OutsourcingExploring the benefits and challenges of outsourcing infrastructure managementMaintenance ProjectsThe role of software engineering hierarchy in maintaining and updating existing software productsR&D ProjectsHow research and development projects are managed and executed within the engineering hierarchyBy the end of this course, you'll have a clear understanding of how the software development life cycle operates from a daily engineering perspective, gaining valuable insights into the roles, responsibilities, and workflows of various team members. Enroll now and enhance your knowledge of the practical aspects of the SDLC!

Overview
Section 1: Introduction

Lecture 1 Introduction

Lecture 2 Software Engineering: Journey of code

Section 2: Software Engineering Communications and workflows in SDLC

Lecture 3 Engineering organization overview

Lecture 4 Possible Workflows of a feature from a software communications in SDLC

Lecture 5 Possible Workflows of a Bug from a software communications in SDLC

Lecture 6 Possible Workflows of a Support Ticket from a software communications in SDLC

Section 3: Outsourcing from an SDLC perspective

Lecture 7 Outsourcing among software engineering teams and organizations

Lecture 8 Infrastructure Outsourcing: Quick Overview

Section 4: SDLC Outliers

Lecture 9 Software Maintenance Projects

Lecture 10 Research and Development/ Innovation related projects

Section 5: Conclusion

Lecture 11[Bonus Lecture]

Fresh Graduates and interns seeking information about functioning of software organizations,Early stage software professionals seeking job change,Anyone interested in leanring about software processes and SDLC

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[mitsumi1]

Daily Software Engineering: Software Companies Overview
Published 4/2023
MP4 | Video: h264, 1280x720 | Audio: AAC, 44.1 KHz
Language: English | Size: 198.41 MB | Duration: 0h 47m

Software Engineering, Services companies, Product companies, Ownership, Software as business, Career development

What you'll learn
Types of software companies that employ software engineers
Product companies style of software development
Outsourced product development
IT/Software Services companies

Requirements
No programming experience is needed.

Description
Welcome to Software Company Types and Ownership Approaches, a one-hour course designed to provide you with an in-depth understanding of various types of software companies and their approaches to owning the final software product. This course will explore the different business models, strategies, and philosophies that shape how software companies deliver their products and services.Course Outline:Course IntroductionOverview of the different types of software companiesThe significance of ownership approaches in the software industryProduct CompaniesUnderstanding product-based software companiesThe role of product ownership and intellectual propertyOutsourced Product Development (OPD) CompaniesExamining the business model and strategy of OPD companiesHow ownership is managed in OPD engagementsServices CompaniesExploring service-oriented software companiesThe role of customer relationships and project ownershipConsultancyUnderstanding the role of consulting firms in the software industryApproaches to software ownership in a consulting contextStartupsExamining the unique challenges and ownership dynamics in startup companiesIntellectual property, collaboration, and product developmentOutsourcing: Necessity and BenefitsWhy companies choose to outsource software developmentThe advantages and challenges of outsourcingOutsourcing: Functional and InfrastructuralExploring functional and infrastructural outsourcing in software developmentHow ownership is managed in different outsourcing contextsTypes of Business ModelsUnderstanding various software company business models and their impact on product ownershipLicensing, subscription, freemium, and other revenue modelsBy the end of this course, you'll have a comprehensive understanding of the different types of software companies and their approaches to owning the final software product. You'll be able to recognize the various business models and strategies that shape the software industry landscape. Enroll now and gain valuable insights into the world of software companies and their product ownership approaches!

Overview
Section 1: Introduction

Lecture 1 Introduction

Section 2: Types Of Companies from a software engineering career perspective

Lecture 2 Product Companies: Software engineering execution perspective

Lecture 3 Outsourced Product Development: Software engineering execution perspective

Lecture 4 Software Services Companies from software engineering execution perspective

Lecture 5 Consultany and the roles in software engineering execution

Lecture 6 Demystifying the hype around "Startups" in software engineering context

Section 3: Outsourcing

Lecture 7 The necessity of outsourcing leading to software services companies

Lecture 8 How the outsourcing model works?

Lecture 9 Quick overview of infrastructure outsourcing

Section 4: Types of Businesss models software companies may choose

Lecture 10 Possbile types of business models

Section 5: Conclusion

Lecture 11[Bonus Lecture]

Students seeking guidance about career planning and internship applications,Software professional seeking job change between services and product companies,IT recruiters seeking a framework to filter resumes based on relevant experience criterion

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