Generative AI for Beginners

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Course Curriculum: Generative AI for Beginners

Course Level: Beginner

Duration: 8 Weeks

Format: Online/Offline, Hands-on Labs, Mini-Projects

Generative AI for Beginners by Global Education Media


Week 1-2: Introduction to AI & Generative AI

  • What is AI?
    • Introduction to Artificial Intelligence
    • Difference between Traditional AI vs. Generative AI
  • Generative AI in Everyday Life
    • Text generation (ChatGPT, Gemini - formerly Bard)
    • Image generation (DALL·E, MidJourney)
    • Music, video, and 3D content generation
  • Basic Concepts in AI & Machine Learning

Hands-on: Try AI-powered tools like ChatGPT, DALL·E, and Google Bard

Week 3-4: Basics of Deep Learning & Generative Models

  • Understanding Deep Learning
    • Introduction to Neural Networks
    • Overview of Training and Optimization
  • Generative Models in AI
    • What are Generative Models?
    • Overview of Autoencoders, GANs, and Transformers
  • Ethical Considerations in AI
    • Bias in AI
    • Responsible AI practices

Hands-on: Experiment with AI-generated text and images using online platforms (e.g., OpenAI Playground, RunwayML)

Week 5-6: Introduction to AI Tools & Basic Coding

  • Setting Up Your AI Development Environment
    • Introduction to Python
    • Installing AI Libraries (TensorFlow, PyTorch, Hugging Face)
  • Basic AI Coding with Python
    • Loading and manipulating text and images
    • Understanding datasets and model training basics
  • Playing with Pre-Trained AI Models
    • How to use AI without training from scratch
    • Exploring OpenAI APIs and Hugging Face models

Hands-on: Write a simple Python program to generate AI-generated text and images

Week 7-8: Building Simple AI Applications & Future Trends

  • Creating AI-Powered Projects
    • Building a basic chatbot using OpenAI’s GPT API
    • Generating AI-powered art with simple code
  • Deploying AI Models in Real Life
    • AI in social media, gaming, and content creation
    • AI-powered personal assistants and productivity tools
  • The Future of Generative AI
    • AI advancements and career opportunities
    • Ethical AI and how to use AI responsibly

Final Project: Create a simple AI-powered application (e.g., AI-generated story, chatbot, or art generator)

Prerequisites

  • No prior AI or coding experience required
  • Basic familiarity with computers and the internet

 

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