Python Mastery with Generative AI: Coding to AI Integration

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Skool of AI

3:59:10

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1. Basic Python Programming Concepts and Generative AI

1. Introduction.mp4

04:08

2. What you Should know before Starting Python.mp4

04:02

3. Understanding of Python and installations.mp4

07:35

4. Basics of Python.mp4

08:44

5. How is AI beneficial in programming.mp4

05:18

6. Generative AI (Chatgpt, Bard, Copilot, Git&Github copilot).mp4

07:36

2. Leveraging Generative AI for Enhancing Python Skills

1. Advanced Use of AI Code Completion Tools for Python.mp4

08:21

2. Integrating AI for Code Optimization and Refactoring.mp4

06:29

3. Utilizing AI for Error Debugging.mp4

02:33

4. AI-Powered Code Review and Quality Analysis.mp4

07:06

3. Efficient Development Environment Setup

1. Advanced Python Environment Management.mp4

06:53

2. Profiling and Optimizing Python Code with Generative AI.mp4

05:55

3. Debugging Techniques.mp4

04:39

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

1. Lambda Functions and Functional Programming Techniques.mp4

08:36

2. Threading, Multiprocessing, and Asynchronous Programming.mp4

08:08

3. Advanced Error and Exception Handling Techniques.mp4

07:06

4. Python Memory Management and Optimization.mp4

05:07

5. Design Patterns and Best Practices

1. Implementing Design Patterns in Python.mp4

05:05

2. Writing Pythonic Code Best Practices and Conventions using ChatGPT.mp4

03:28

3. Unit Testing and Test-Driven Development (TDD) in Python with Gemini.mp4

03:44

6. Data Manipulation and Analysis Generative AI

1. Advanced Data Manipulation with Pandas.mp4

07:58

2. Data Visualization Techniques.mp4

06:29

3. Working with Data Sets and Performance Tuning.mp4

07:39

7. Advanced Object-Oriented Programming in Python

1. Design Principles with Copilot.mp4

04:37

2. Advanced Techniques in OOP.mp4

03:26

3. Working with Dynamic Attributes and Methods.mp4

06:13

8. Utilizing Python Libraries and Frameworks for Specialized Tasks

1. Data Science and Machine Learning.mp4

07:25

2. Network Programming.mp4

04:45

3. Advanced Web Development.mp4

09:24

9. AI and Deep Learning with Python

1. Deep Learning Concepts and Frameworks.mp4

04:47

2. Natural Language Processing (NLP) with Python.mp4

05:54

10. 10 Project

1. Building a Todo List App with Flask Leveraging Python and JavaScript for an Enh.mp4

15:48

11. Practical AI Applications for Python Developers

1. Case Studies Real-World AI Solutions with Python.mp4

03:58

2. AI in Data Analysis and Business Intelligence.mp4

05:14

12. Advanced Resources and Continuing Education

1. Participating in Python Open Source Projects.mp4

04:35

2. Advanced Python Books and Online Resources.mp4

02:31

3. Joining Python Developer Communities and Conferences.mp4

06:03

13. Conclusion Mastering Python

1. The Evolving Landscape of Python Programming.mp4

05:43

2. . Future Trends in Python and AI.mp4

03:04

3. Conclusion.mp4

03:04

Description

Learn Python, AI Applications, Data Analysis & Code Optimization

What You'll 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 is this for?

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.

What You Need to Know?

Basic understanding of programming concepts.

Access to a computer with internet connectivity.

Installation of Python and relevant development tools.

Eagerness to learn about AI's role in programming.

No prior experience required; just a passion for technology!

Access to a computer and internet for software installation.

More details

Description
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!
Who this course is for:
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.

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We are a team of AI experts, engineers, researchers and enthusiastic professionals who are passionate about advancing artificial intelligence and teaching others. With over 50 years of combined experience building AI systems for a diverse range of industries, our goal is to share this collective knowledge with students who want to learn both the fundamentals and practical application of AI. Our courses are led by multiple instructors, allowing students to gain exposure to our varied areas of specialty - from machine learning to natural language processing to robotics and beyond. With a hands-on, project-driven approach grounded in ethics, we prepare students to apply AI to drive innovation. Join us if you share our excitement for AI and its vast potential!

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