Python Mastery with Generative AI: Coding to AI Integration

سرفصل های دوره

Learn Python, AI Applications, Data Analysis & Code Optimization

1. Basic Python Programming Concepts and Generative AI

1. Introduction

2. What you Should know before Starting Python

3. Understanding of Python and installations

4. Basics of Python

5. How is AI beneficial in programming

6. Generative AI (Chatgpt, Bard, Copilot, Git&Github copilot)

2. Leveraging Generative AI for Enhancing Python Skills

1. Advanced Use of AI Code Completion Tools for Python

2. Integrating AI for Code Optimization and Refactoring

3. Utilizing AI for Error Debugging

4. AI-Powered Code Review and Quality Analysis

3. Efficient Development Environment Setup

1. Advanced Python Environment Management

2. Profiling and Optimizing Python Code with Generative AI

3. Debugging Techniques

4. Intermediate to Advanced Syntax and Concepts (Using chatGPT-4 and Gemini)

1. Lambda Functions and Functional Programming Techniques

2. Threading, Multiprocessing, and Asynchronous Programming

3. Advanced Error and Exception Handling Techniques

4. Python Memory Management and Optimization

5. Design Patterns and Best Practices

1. Implementing Design Patterns in Python

2. Writing Pythonic Code Best Practices and Conventions using ChatGPT

3. Unit Testing and Test-Driven Development (TDD) in Python with Gemini

6. Data Manipulation and Analysis Generative AI

1. Advanced Data Manipulation with Pandas

2. Data Visualization Techniques

3. Working with Data Sets and Performance Tuning

7. Advanced Object-Oriented Programming in Python

1. Design Principles with Copilot

2. Advanced Techniques in OOP

3. Working with Dynamic Attributes and Methods

8. Utilizing Python Libraries and Frameworks for Specialized Tasks

1. Data Science and Machine Learning

2. Network Programming

3. Advanced Web Development

9. AI and Deep Learning with Python

1. Deep Learning Concepts and Frameworks

2. Natural Language Processing (NLP) with Python

10. 10 Project

1. Building a Todo List App with Flask Leveraging Python and JavaScript for an Enh

11. Practical AI Applications for Python Developers

1. Case Studies Real-World AI Solutions with Python

2. AI in Data Analysis and Business Intelligence

12. Advanced Resources and Continuing Education

1. Participating in Python Open Source Projects

2. Advanced Python Books and Online Resources

3. Joining Python Developer Communities and Conferences

13. Conclusion Mastering Python

1. The Evolving Landscape of Python Programming

2. . Future Trends in Python and AI

3. Conclusion

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تولید کننده: Udemy