Mastering Generative AI
Programming
Course Overview
Generative AI is revolutionizing industries by enabling machines to create humanlike content, including text, images, audio, and video. This 3-day hands-on course provides a comprehensive understanding of generative models, including GPT, GANs, VAEs, and diffusion models. Participants will gain practical experience in building, fine-tuning, and deploying generative AI solutions for real-world applications such as text generation, AI art, chatbot development, and content automation. The course is designed for professionals looking to integrate AI driven solutions into their businesses or research.
Description
Course Outline
Day 1: Foundations of Generative AI
Session 1: Introduction to Generative AI
- What is Generative AI?
- History and evolution of generative models
- Applications across industries (art, finance, healthcare, gaming, etc.)
- Ethical considerations and challenges
Session 2: Understanding Core Generative Models
- Generative Adversarial Networks (GANs)
- Variational Autoencoders (VAEs)
- Transformer-based models (GPT, BERT, T5, etc.)
- Diffusion models (Stable Diffusion, DALL·E)
Session 3: Building Your First Generative Model
- Setting up Python environment (TensorFlow/PyTorch)
- Hands-on: Implementing a basic VAE or GAN
- Fine-tuning parameters and evaluating generated outputs
Session 4: Generative AI for Text Generation
- Language models and their architectures (GPT-3, GPT-4, LLaMA)
- Prompt engineering techniques
- Hands-on: Generating text with OpenAI’s API or Hugging Face models
Day 2: Advanced Techniques & Applications
Session 5: Image and Video Generation
- Diffusion models and their role in AI art generation
- Training GANs for image synthesis
- Hands-on: Generating images with Stable Diffusion
Session 6: Audio and Music Generation
- AI-generated music (Jukebox, Magenta)
- AI voice synthesis and text-to-speech (TTS)
- Hands-on: Creating AI-generated voice or music samples
Session 7: Multimodal Generative AI (Text-to-Image, Image-to-Text, etc.)
- Understanding CLIP and DALL·E
- Hands-on: Generating text-based images and vice versa
Day 3: Real-World Projects and Deployment
Session 8: AI-Powered Chatbots and Virtual Assistants
- Building AI-driven chatbots using generative models
- Integrating AI-generated responses into applications
- Hands-on: Creating an AI chatbot
Session 9: Generative AI for Business and Industry
- Use cases in marketing, healthcare, and finance
- Case studies: AI in product design, data augmentation, automation
- Hands-on: AI-generated content for business applications
Session 10: Future Trends & Ethical AI
- The future of generative AI
- Ethical AI, bias, and responsible AI development
- Discussion and final project presentations
