Requirements

• Familiarity with Python programming language is recommended but not mandatory.
• A willingness to explore AI-powered tools for coding and debugging.

Description

In this course, you will learn how you can use AI tools in development, if you are developer for Python, PHP, C, C++ etc. you can watch this course to learn how to utilize the AI tools for rapid development.

Explore the  power of AI to revolutionize your Python development workflow! "AI Tools as Coding Assistance for Developers" is a comprehensive course designed to introduce developers to cutting-edge AI tools that enhance coding efficiency, error handling, debugging, and much more.

With the rise of AI-powered platforms like GitHub Copilot, Tabnine, and GPT-based tools, developers can accelerate their coding processes while maintaining high-quality standards.

In this course, you'll explore the potential of AI to assist in various aspects of development, from generating code snippets to building complete projects.

Learn how to responsibly integrate AI into your workflow, maximize its capabilities, and overcome limitations. Whether you're a beginner looking to simplify your Python development or an experienced coder exploring new tools, this course equips you with the skills and insights to make the most of AI-powered coding assistance.

Outline that covered in this course:

1. Introduction to AI and AI-Powered Development Tools

• Overview of Artificial Intelligence and Its Impact on Development

• Types of AI

2. AI as Assistance for Developers

• Responsible Use of AI in Code Generation and Debugging

3. AI Tools Overview for Python Developers

• GitHub Copilot

• Tabnine

• Code Interpreter (GPT-4)

4. Choosing the Right Tool for Your Workflow

5. AI-Assisted Python Development

• AI tools can simplify many aspects of Python development:

  • Error Handling and Debugging with AI

  • Hands-On: Building Small Python Projects with AI Help

6. ChatGPT in Depth: Maximizing Its Potential for Developers

• Effective Prompts and Techniques for Code Assistance

• Iterative Refinement

• Advanced ChatGPT Topics

• Example Debugging Prompt

7. Important Topics in AI-Powered Development

• Input File Handling (Images, Documents like PDF, Word, etc.)

• Images and Diagram Creation

• Creation of Web Pages (HTML, CSS, JS)

• Summarizing Paragraphs

• Audio Feature Integration

Who this course is for:

• Programmers looking to enhance their coding efficiency and accuracy with AI tools.
• Anyone new to AI-powered coding tools who wants to explore their potential in software development.
• Professionals seeking to streamline their workflow and adopt advanced techniques for debugging and project development using AI.