| S.No |
Topic |
Sub-Topics |
| 1 | Introduction to Generative AI | History of AI, Overview of Generative AI, Types of Generative Models, Key Use Cases, AI vs Human Creativity |
| 2 | AI Fundamentals | ML Basics, DL Overview, Neural Networks, Supervised vs Unsupervised Learning, Activation Functions |
| 3 | Generative Models Overview | Definition, Types, Applications, Strengths & Limitations, Popular Frameworks |
| 4 | Probabilistic Models | Bayesian Networks, Markov Chains, Hidden Markov Models, Conditional Probability, Inference Techniques |
| 5 | Variational Autoencoders (VAE) | Architecture, Encoder & Decoder, Latent Space, Loss Functions, Applications |
| 6 | Generative Adversarial Networks (GANs) | Generator & Discriminator, Training Process, Loss Functions, Popular Variants (DCGAN, CycleGAN), Applications |
| 7 | Diffusion Models | Concept of Diffusion, Forward & Reverse Processes, Noise Schedules, Denoising, Use Cases in Images |
| 8 | Transformers for GenAI | Attention Mechanism, Encoder-Decoder Architecture, Self-Attention, Positional Encoding, Use in Text/Image Generation |
| 9 | Large Language Models (LLMs) | Definition, Examples (GPT, BERT), Training Data, Tokenization, Limitations & Bias |
| 10 | Text Generation | Prompt Engineering, Beam Search, Temperature & Top-k Sampling, Fine-tuning Models, Text Summarization |
| 11 | Image Generation | GAN-based Image Generation, Diffusion Models, Text-to-Image, Inpainting, Super-Resolution |
| 12 | Audio & Music Generation | WaveNet, MusicVAE, Text-to-Speech, Voice Cloning, Sound Effects Generation |
| 13 | Video Generation | Video Synthesis, Frame Interpolation, Video-to-Video Translation, DeepFake Techniques, Ethical Considerations |
| 14 | Reinforcement Learning for GenAI | RL Basics, Policy & Value Networks, Reward Functions, RLHF (Human Feedback), Applications in Text & Games |
| 15 | Data Preparation & Augmentation | Dataset Collection, Cleaning, Normalization, Synthetic Data Generation, Data Labeling |
| 16 | Fine-Tuning & Transfer Learning | Pre-trained Models, Domain Adaptation, Hyperparameter Tuning, Prompt Tuning, LoRA & PEFT |
| 17 | Evaluation Metrics | Perplexity, BLEU, FID, IS, Human Evaluation, Metrics for Text, Image, Audio |
| 18 | Ethics in GenAI | Bias & Fairness, DeepFakes, Misinformation, Copyright Issues, Responsible AI Guidelines |
| 19 | GenAI Frameworks & Tools | TensorFlow, PyTorch, HuggingFace Transformers, Diffusers, OpenAI API |
| 20 | Prompt Engineering | Effective Prompts, Chain-of-Thought, Zero-shot vs Few-shot, Context Management, Prompt Templates |
| 21 | GenAI in NLP Applications | Chatbots, Summarization, Translation, Sentiment Analysis, Question Answering |
| 22 | GenAI in Vision Applications | Art Generation, Style Transfer, Image Enhancement, Object Synthesis, Medical Imaging |
| 23 | GenAI in Audio Applications | Music Composition, Voice Cloning, Speech-to-Text, Soundscapes, Podcast Generation |
| 24 | GenAI in Gaming & Simulation | NPC Dialogue, Procedural Content Generation, Story Generation, Game Level Design, AI Opponents |
| 25 | Deployment of GenAI Models | Cloud Services, API Deployment, Model Serving, Scalability, Monitoring |
| 26 | Optimization & Efficiency | Quantization, Pruning, Knowledge Distillation, Low-resource Training, Latency Reduction |
| 27 | GenAI for Business | Marketing Content, Personalized Recommendations, Automated Reports, Customer Support, Generative Analytics |
| 28 | Security & Privacy | Data Privacy, Model Stealing, Adversarial Attacks, Secure Model Sharing, Differential Privacy |
| 29 | Future Trends in GenAI | Multi-modal AI, Self-supervised Learning, General AI, AI Agents, AI in Healthcare & Research |
| 30 | Capstone Project | Choose a GenAI Domain, Collect Data, Train Model, Evaluate, Deploy, Document & Present |
