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دسته بندی دوره ها

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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    شناسه: 38450
    حجم: 1776 مگابایت
    مدت زمان: 240 دقیقه
    تاریخ انتشار: 22 تیر 1403
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