Code Faster with AI: ChatGPT, GitHub Copilot, Tabnine & More

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Ardit Sulce

2:09:13

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1. Introduction

1. Introduction.mp4

01:50

2. Using ChatGPT as an Assistant

1. ChatGPT Acting as a Junior Developer.mp4

03:44

2. ChatGPT Acting as a Senior Advisor.mp4

04:01

3. ChatGPT Acting as a Tutor.mp4

05:01

3. Comparison of Different AIs

1. Comparing ChatGPT 3.5 with ChatGPT 4.mp4

11:58

2. Comparing Github Copilot vs. Tabnine vs. Cursor AI.mp4

27:54

4. AI Code Assistants in a Real Use-Case

1. Introduction.mp4

02:03

2. Generating an Initial Codebase with ChatGPT.mp4

10:14

3. Fixing a bug with AI.mp4

11:55

4. Adding a New App Feature with Different AIs.mp4

11:48

5. Refactoring code with AI.mp4

06:32

5. AI Code Assistant Tutorials

1.1 1. Github Copilot Cheatsheet.pdf

1. Github Copilot Tutorial.mp4

10:05

2. Github Copilot Cheatsheet.html

3.1 2. Tabnine Cheatsheet.pdf

3. Tabnine Tutorial.mp4

09:32

4. Tabnine Cheatsheet.html

5.1 3. Cursor IDE Cheatsheet.pdf

5. Cursor AI Editor Tutorial.mp4

07:51

6. Cursor AI Editor Cheatsheet.html

6. Conclusion

1. Conclusion.mp4

04:45

Description

Boost your coding productivity in 2024 using AI code assistants. Generate code, fix, refactor, unit test, and more!

What You'll Learn?

Learn and compare various AI code assistants
Master ChatGPT, Google Gemini, GitHub Copilot, Tabnine, and Cursor AI
Generate, fix, refactor, and test any code (Python, HTML, CSS, and other programming languages)
Learn how to integrate the AI tools into existing projects
Apply AI tools to solve practical programming challenges across various domains

Who is this for?

Beginner and experienced programmers

Programmers who want to be more efficient

Tech enthusiasts who want to explore cutting-edge AI tools

University students who wants to stay up to date with the AI technology

Hobbyists who enjoy tinkering with technology

What You Need to Know?

Basic understanding of programming

More details

Description
In today's fast-paced technological landscape, staying ahead of the competition is paramount for any programmer. The integration of AIÂ into the coding process dramatically increases efficiency, enhance code quality, and reduce time spent on debugging and routine tasks. This course is designed for forward-thinking developers who recognize the necessity of adapting to these changes to maintain a competitive edge.
In this course you will learn different AI code assistants like ChatGPT, GitHub Copilot, Tabnine, and Cursor AIÂ Editor which add value to your programming skillset. We will compare these tools and you will learn how to use each of them. You will also learn best practices how programmers use AI in 2024 using the latest technology. These tools are not just about speeding up the coding process; they represent a new way of thinking about problem-solving and code generation. By learning to effectively integrate AI into your workflow, you can free up valuable time to focus on more complex and creative aspects of your projects, leading to faster development cycles and more innovative solutions.
You will learn through real-world use cases and hands-on tutorials designed to give you practical experience and confidence in using AI as part of your coding toolkit. The course includes cheatsheets for each of the tools we will use during the course so you will be equipped with the list of shortcuts you can use in your daily programming.
Whether you're a junior developer looking to quickly move up the ranks or a senior programmer aiming to stay relevant and efficient, mastering AI code assistants is crucial. This course is your gateway to not just keeping up with the industry but setting the pace. Equip yourself with the skills needed to stay ahead in the ever-evolving world of software development and ensure you remain at the forefront of innovation and productivity.
Who this course is for:
Beginner and experienced programmers
Programmers who want to be more efficient
Tech enthusiasts who want to explore cutting-edge AI tools
University students who wants to stay up to date with the AI technology
Hobbyists who enjoy tinkering with technology

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Hi, I am Ardit! I am a Python programmer, teacher, and founder of PythonHow. I graduated in 2013 with a Master of Science in Geospatial Technologies from the University of Muenster in Germany with a focus on using Python for remote sensing.I have worked with companies from various countries, such as the Center for Conservation Geography, to map and understand Australian ecosystems, image processing with the Swiss in-Terra, and performing data mining to gain business insights with the Australian Rapid Intelligence.If you want to learn Python through my courses, I propose the following learning path: Start with The Python Mega Course 2022: Build 10 Real-World Applications. Students love that course as a comprehensive real-world guide to Python and building programs with Python. After finishing that course, take my Automate Everything with Python course if you want to use Python to make small-to-medium programs. That course contains everything you need to start using Python as your swiss army knife. On the other hand, if you are interested in making large applications, my advanced course Advanced Python: Python OOP with 10 Real-World Programs would be a better choice. All the courses are listed here on my Udemy profile page.

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