Generative AI (Gen AI) Fundamentals 12-Weeks

🎯 Suitable For:
Developers, testers, team leads, and software professionals exploring GenAI for the first time

📚 Course Type:
Foundational, hands-on, API-focused

⏳ Duration:
12 Weeks

🌐 Mode:
Live Online Sessions (2×2 hrs/week)

Weeks 1–3: Foundations & Setup

• GenAI overview, core deep learning (NNs, CNNs), embeddings

• PyTorch basics (tensors, autograd, nn.Module)

• Tools: Python, PyTorch

Weeks 4–5: Transformers & LLMs

• Attention, transformer architecture, tokenization, LLM pre-training

• Tools: Hugging Face Transformers

Weeks 6–7: Prompting & API Interaction

• Prompt engineering (zero/few-shot, CoT), using LLM APIs, code generation

• Tools: OpenAI API, Hugging Face pipelines

Weeks 8–10: Adaptation & Image Generation

• Fine-tuning (LoRA), RAG intro, diffusion models, image generation (Stable Diffusion)

• Tools: Hugging Face Diffusers, LangChain/LlamaIndex (concepts)

Weeks 11–12: Multimodal AI & Ethics

• CLIP, responsible AI, deployment basics (Flask/FastAPI), model saving/loading

• Tools: PyTorch, Flask/FastAPI