AGENTIC AI Program-
- To equip learners with the ability to design, build, and deploy autonomous and ethical AI systems using frameworks & tools like LLMs, LangChain, RAG with VectorDB, LangGraph, SmolAgents, LangSmith, also No/Low code automation tools like NBN, AutoGen, Crew AI
- Understand and implement LLMs and prompting techniques
- Build RAG systems from scratch
- Design and deploy intelligent AI agents with Langraph and LangChain
- Design multi-step AI agents with memory, planning, and tool use
- Automate agentic workflows using NBN
- Create adaptive, self-improving agents for practical business use cases.
LLMs: OpenAI GPT, HuggingFace, Claude, LLaMA
LangChain: To orchestrate multi-step agents and workflows
Retrieval-Augmented Generation (RAG): Using vector databases like FAISS to enhance AI model performance
LangGraph: For building advanced agent-based systems
SmolAgents: For agent-based modeling and simulation
LangSmith: For evaluating and improving AI agent performance
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