Generative AI

Master cutting-edge generative models including GANs, Transformers, Diffusion Models, and Large Language Models through hands-on projects.

Course Details

Course Highlights

Comprehensive GenAI Training

From fundamental concepts to cutting-edge architectures and real-world applications.

Hands-on Projects

Build and train models for text, image, audio, and video generation.

Industry Tools

Master OpenAI API, HuggingFace, Stable Diffusion, LangChain and more.

Capstone Project

Complete an end-to-end Generative AI application with deployment.

Learning Outcomes

By the end of this course, you will be able to:

  • Understand and implement various generative architectures
  • Fine-tune and prompt engineer Large Language Models
  • Create AI-generated art with diffusion models
  • Build multi-modal generative applications
  • Deploy generative models in production
  • Address ethical considerations in Generative AI

Course Curriculum

Module 1: Foundations of Generative AI
  • Introduction to Generative AI
  • Probability & Statistics for GenAI
  • Autoencoders & Variants
  • Markov Models for Generation
  • Evaluation Metrics
Module 2: Generative Adversarial Networks
  • GAN Fundamentals
  • DCGAN, WGAN, StyleGAN
  • Conditional GANs
  • Image-to-Image Translation
  • Text-to-Image Synthesis
Module 3: Transformers & LLMs
  • Transformer Architecture
  • GPT Models & Variants
  • Prompt Engineering
  • Fine-tuning LLMs
  • LLM Deployment
Module 4: Diffusion Models
  • Diffusion Fundamentals
  • Stable Diffusion
  • Latent Diffusion
  • ControlNet & LoRA
  • Video Diffusion
Module 5: Applications & Ethics
  • Multi-modal Generation
  • AI Agents
  • Copyright & Fair Use
  • Bias Mitigation
  • Future of Generative AI

Who Should Attend?

AI/ML Engineers

Professionals looking to specialize in generative architectures.

Creative Professionals

Designers and artists exploring AI-assisted creation.

NLP Specialists

Those working on text generation and language models.

Product Managers

Leaders integrating GenAI into products and services.