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Starts 8 June 2025 04:27

Ends 8 June 2025

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Custom ChatGPT Publishing & AI Bootcamp Masterclass

Learn Python, AI basics, ChatGPT customization, and build 150+ hands-on projects with zero prior experience. (AI)
via Udemy

4052 Courses


1 day 7 hours 28 minutes

Optional upgrade avallable

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Progress at your own speed

Paid Course

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Overview

Custom ChatGPT Publishing & AI Bootcamp Masterclass is the ultimate course designed for absolute beginners who want to dive into the world of AI, ChatGPT, Python programming, and machine learning without any prior experience. Whether you have zero programming knowledge, no background in artificial intelligence, or have never worked with ChatGPT, this course is tailored to guide you step-by-step from the very basics to advanced concepts.

You’ll start with Python programming, where you’ll learn essential syntax, data structures, and coding fundamentals. With clear explanations and hands-on practice, you’ll master the building blocks of Python programming and feel confident in writing your own scripts.

Syllabus

  • Introduction to AI and ChatGPT
  • Overview of Artificial Intelligence
    Introduction to ChatGPT: Use Cases and Applications
    Understanding Natural Language Processing
  • Basics of Python Programming
  • Installing Python and Setting up the Environment
    Introduction to Python Syntax
    Variables and Data Types
    Conditional Statements and Loops
    Functions and Modules
    Error Handling and Debugging
  • Intermediate Python Concepts
  • Data Structures: Lists, Tuples, Sets, and Dictionaries
    File Handling and Manipulation
    Working with Libraries: NumPy and Pandas
  • Introduction to ChatGPT and OpenAI API
  • Understanding ChatGPT Capabilities
    Exploring the OpenAI API
    Setting up API Access and Authentication
  • Building Applications with ChatGPT
  • Designing Simple Chatbots
    Integrating ChatGPT into Applications
    Fine-tuning and Prompt Engineering Techniques
  • Fundamentals of Machine Learning
  • Overview of Machine Learning Concepts
    Supervised vs Unsupervised Learning
    Introduction to Machine Learning Libraries: scikit-learn
  • Hands-On Machine Learning Projects
  • Developing a Basic Machine Learning Model
    Evaluating Model Performance
    Understanding Overfitting and Underfitting
  • Bringing it All Together: End-to-End AI Application Development
  • Designing an AI-Driven Application
    Combining Python, Machine Learning, and ChatGPT
    Deploying and Publishing AI Applications
  • Capstone Project
  • Planning and Developing a Custom ChatGPT Application
    Applying Machine Learning and Python Skills
    Presentation and Peer Review of Projects
  • Course Wrap-up and Resources
  • Recap and Key Takeaways
    Further Learning and Next Steps in AI and Machine Learning

Taught by

Vivian Aranha


Subjects

Computer Science