Python + GenAI & Agentic AI
Live Roadmap & Architecture Demo. Master Python foundations, LLMs, Production RAG, and autonomous Agentic AI workflows to build end-to-end enterprise systems.
Tuesday, Sep 8 โข 7:00 AM IST
Sep 8 โข 9:30 PM EDT (US/Canada)
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Python & ML Foundations: Python data pipelines, NumPy, Pandas, vectors, PyTorch tensor loops, and async API integration.
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Generative AI & Transformers: Self-Attention, QKV mechanics, tokenization, prompt engineering, and structured JSON outputs.
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Production RAG Systems: Document chunking, FAISS/Chroma vector DBs, hybrid retrieval, re-ranking, and grounded evaluation.
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Agentic AI & Multi-Agent Systems: Autonomous agents, tool calling, memory management, planning, and multi-agent coordination.
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Model Adaptation & Deployment: PEFT / LoRA fine-tuning, FastAPI microservices, and Docker containerization for production.
Enterprise Multi-Agent & Knowledge RAG Assistant
Build an end-to-end production AI system that pairs autonomous tool-calling agents with enterprise document RAG, grounded retrieval, and Docker deployment.
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Multi-Agent Core: Tool routing, web browsing agents & SQL data agents.
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Evaluation Suite: Benchmark answer relevance, safety & hallucination.
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Interview-Ready: Architecture diagrams, Dockerfile & live demo walkthrough.