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Master LangChain, Vector Databases & Deploy Production AI Applications
Build an intelligent research assistant that can ingest documents, create vector embeddings, and answer complex questions using RAG (Retrieval Augmented Generation).
Create an autonomous AI agent with tool-calling capabilities that can search movies, book tickets, process payments, and send automated reminders.
Master advanced Python concepts, async programming, decorators, and get hands-on with LangChain framework. Understand chains, prompts, and LLM integration fundamentals.
Learn agent architecture patterns, implement tool calling, create custom tools, and build agents that can access external APIs and perform real-world actions.
Deep dive into vector databases (Pinecone, Weaviate, FAISS), embeddings, semantic search, and build production-ready RAG systems for intelligent document processing.
Build sophisticated multi-agent systems where agents collaborate, delegate tasks, and coordinate to solve complex problems. Implement agent memory and state management.
Build your first major project: an AI research assistant with document ingestion, vector search, and intelligent question answering using RAG architecture.
Create an autonomous agent that handles movie searches, ticket booking, payment processing, and sends automated reminders - integrating multiple APIs and tools.
Deploy your AI applications to cloud platforms (Render/AWS), implement monitoring, testing strategies, and prepare your portfolio for job applications.
2 production-ready projects for your portfolio
Agentic AI Developer Certificate
Complete code templates & documentation
Lifetime access to AI developer community
Job placement assistance & interview prep
Forever access to course updates
12 Weeks of Intensive Training + 2 Major Projects + Certification