🎯 Suitable For: Developers, ML/AI engineers, tech leads, researchers aiming for deep GenAI expertise
📚 Course Type: Advanced, hands-on, theory-to-production
⏳ Duration: 24 Weeks
🌐 Mode: Live Online Sessions (2×2 hrs/week)
Weeks 1–3: GenAI Foundations
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Deep learning, CNNs, RNNs, embeddings
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Tools: PyTorch (main), TensorFlow/Keras (concepts)
Weeks 4–7: Core Architectures
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VAEs, GANs, Attention, Transformer internals
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Tools: Hugging Face, PyTorch
Weeks 8–12: LLMs & Agentic AI
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Prompting, LoRA, RAG, AI Agents (LangChain, LlamaIndex)
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Tools: Hugging Face Transformers, agent frameworks
Weeks 11 & 13: Image & Multimodal GenAI
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Diffusion models, CLIP, multimodal systems
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Tools: Hugging Face Diffusers, PyTorch
Weeks 14–16: Evaluation, Ethics & MLOps
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Responsible AI, deployment, versioning, monitoring
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Tools: MLflow, Docker, Cloud (AWS/GCP)
Weeks 17–18: Future Trends & Capstone
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RLHF, World Models, Capstone specialization project
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