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Python Mastery with Generative AI: Coding to AI Integration

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Python Mastery with Generative AI: Coding to AI Integration, available at $54.99, has an average rating of 4.58, with 40 lectures, based on 24 reviews, and has 11812 subscribers.

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You will learn about Master Python syntax and basic programming constructs. Utilize AI tools like ChatGPT and GitHub Copilot for code enhancement. Optimize and refactor Python code using AI technologies. Implement advanced error debugging and code review techniques. Develop skills in asynchronous programming and threading. Apply design patterns and best coding practices in Python. Enhance data manipulation skills using Pandas and visualization libraries. Explore object-oriented programming and dynamic attributes. Build AI-driven Python applications for real-world scenarios. Gain proficiency in deep learning and NLP with Python frameworks. This course is ideal for individuals who are Aspiring Developers: Beginners who want to start a career in programming with Python. or Experienced Programmers: Those looking to enhance their skills with AI integrations. or Data Analysts: Professionals aiming to leverage Python for data manipulation and visualization. or Tech Enthusiasts: Individuals curious about the intersection of AI and software development. or Project Managers: Managers seeking to understand the technical aspects of Python projects. or Students: College or university students studying computer science or related fields. It is particularly useful for Aspiring Developers: Beginners who want to start a career in programming with Python. or Experienced Programmers: Those looking to enhance their skills with AI integrations. or Data Analysts: Professionals aiming to leverage Python for data manipulation and visualization. or Tech Enthusiasts: Individuals curious about the intersection of AI and software development. or Project Managers: Managers seeking to understand the technical aspects of Python projects. or Students: College or university students studying computer science or related fields.

Enroll now: Python Mastery with Generative AI: Coding to AI Integration

Summary

Title: Python Mastery with Generative AI: Coding to AI Integration

Price: $54.99

Average Rating: 4.58

Number of Lectures: 40

Number of Published Lectures: 40

Number of Curriculum Items: 40

Number of Published Curriculum Objects: 40

Original Price: $74.99

Quality Status: approved

Status: Live

What You Will Learn

  • Master Python syntax and basic programming constructs.
  • Utilize AI tools like ChatGPT and GitHub Copilot for code enhancement.
  • Optimize and refactor Python code using AI technologies.
  • Implement advanced error debugging and code review techniques.
  • Develop skills in asynchronous programming and threading.
  • Apply design patterns and best coding practices in Python.
  • Enhance data manipulation skills using Pandas and visualization libraries.
  • Explore object-oriented programming and dynamic attributes.
  • Build AI-driven Python applications for real-world scenarios.
  • Gain proficiency in deep learning and NLP with Python frameworks.

Who Should Attend

  • Aspiring Developers: Beginners who want to start a career in programming with Python.
  • Experienced Programmers: Those looking to enhance their skills with AI integrations.
  • Data Analysts: Professionals aiming to leverage Python for data manipulation and visualization.
  • Tech Enthusiasts: Individuals curious about the intersection of AI and software development.
  • Project Managers: Managers seeking to understand the technical aspects of Python projects.
  • Students: College or university students studying computer science or related fields.

Target Audiences

  • Aspiring Developers: Beginners who want to start a career in programming with Python.
  • Experienced Programmers: Those looking to enhance their skills with AI integrations.
  • Data Analysts: Professionals aiming to leverage Python for data manipulation and visualization.
  • Tech Enthusiasts: Individuals curious about the intersection of AI and software development.
  • Project Managers: Managers seeking to understand the technical aspects of Python projects.
  • Students: College or university students studying computer science or related fields.

Dive into the world of programming with our comprehensive course “Python Mastery with Generative AI: Coding to AI Integration”. This course is meticulously designed for both beginners and experienced developers who aspire to master Python while integrating cutting-edge Generative AI technologies. Starting with the basics of Python programming, you’ll quickly progress to understanding how AI tools like ChatGPT, Bard, and GitHub Copilot can elevate your coding skills.

Explore advanced programming topics such as lambda functions, multiprocessing, and asynchronous programming tailored with the aid of AI. Delve into data manipulation using Pandas, create visually appealing data visualizations, and optimize data performance. Learn the principles of object-oriented programming enhanced by AI insights, and harness Python’s vast library ecosystem for tasks ranging from web development to machine learning.

The course also prepares you for real-world applications by teaching you how to implement AI in data analysis and business intelligence, culminating in building a practical To-Do List app. By joining, you’ll gain access to a plethora of resources for continuing education, participate in Python open source projects, and stay updated with the latest trends and best practices in Python programming. Prepare to transform your coding skills and embrace the future of Python and AI with us!

Course Curriculum

Chapter 1: Basic Python Programming Concepts and Generative AI

Lecture 1: Introduction

Lecture 2: What you Should know before Starting Python?

Lecture 3: Understanding of Python and installations

Lecture 4: Basics of Python

Lecture 5: How is AI beneficial in programming?

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

Chapter 2: Leveraging Generative AI for Enhancing Python Skills

Lecture 1: Advanced Use of AI Code Completion Tools for Python

Lecture 2: Integrating AI for Code Optimization and Refactoring

Lecture 3: Utilizing AI for Error Debugging

Lecture 4: AI-Powered Code Review and Quality Analysis

Chapter 3: Efficient Development Environment Setup

Lecture 1: Advanced Python Environment Management

Lecture 2: Profiling and Optimizing Python Code with Generative AI

Lecture 3: Debugging Techniques

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

Lecture 1: Lambda Functions and Functional Programming Techniques

Lecture 2: Threading, Multiprocessing, and Asynchronous Programming

Lecture 3: Advanced Error and Exception Handling Techniques

Lecture 4: Python Memory Management and Optimization

Chapter 5: Design Patterns and Best Practices

Lecture 1: Implementing Design Patterns in Python

Lecture 2: Writing Pythonic Code: Best Practices and Conventions using ChatGPT

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

Chapter 6: Data Manipulation and Analysis Generative AI

Lecture 1: Advanced Data Manipulation with Pandas

Lecture 2: Data Visualization Techniques

Lecture 3: Working with Data Sets and Performance Tuning

Chapter 7: Advanced Object-Oriented Programming in Python

Lecture 1: Design Principles with Copilot

Lecture 2: Advanced Techniques in OOP

Lecture 3: Working with Dynamic Attributes and Methods

Chapter 8: Utilizing Python Libraries and Frameworks for Specialized Tasks

Lecture 1: Data Science and Machine Learning

Lecture 2: Network Programming

Lecture 3: Advanced Web Development

Chapter 9: AI and Deep Learning with Python

Lecture 1: Deep Learning Concepts and Frameworks

Lecture 2: Natural Language Processing (NLP) with Python

Chapter 10: 10 Project

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

Chapter 11: Practical AI Applications for Python Developers

Lecture 1: Case Studies: Real-World AI Solutions with Python

Lecture 2: AI in Data Analysis and Business Intelligence

Chapter 12: Advanced Resources and Continuing Education

Lecture 1: Participating in Python Open Source Projects

Lecture 2: Advanced Python Books and Online Resources

Lecture 3: Joining Python Developer Communities and Conferences

Chapter 13: Conclusion: Mastering Python

Lecture 1: The Evolving Landscape of Python Programming

Lecture 2: . Future Trends in Python and AI

Lecture 3: Conclusion

Instructors

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  • 3 stars: 2 votes
  • 4 stars: 10 votes
  • 5 stars: 12 votes

Frequently Asked Questions


How long do I have access to the course materials?


You can view and review the lecture materials indefinitely, like an on-demand channel.


Can I take my courses with me wherever I go?


Definitely! If you have an internet connection, courses on Udemy are available on any device at any time. If you don’t have an internet connection, some instructors also let their students download course lectures. That’s up to the instructor though, so make sure you get on their good side!

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