Credential

Agentic AI Engineering Specialization

Edureka's four-course Coursera specialization on building agents with LangChain, LangGraph and MCP. Completed May 2026.

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What it covers

Building AI agents end to end: a first LangChain agent with tools and RAG (Retrieval-Augmented Generation), applied agent pipelines with ReAct and memory, Multi-Agent Systems systems as state machines in LangGraph, and connecting agents to tools and integrations through MCP (Model Context Protocol).

Where it shows up

I turned the coursework into public code. local-rag-chatbot wires the course's multi-query fusion and reciprocal rank fusion patterns to a real vector store, with LangGraph state, checkpoints and conditional routing. langgraph-ts-agents ports the course's supervisor pattern from Python to strict TypeScript, streaming-first, with Human-in-the-Loop approval. mcp-deep-dive goes beneath the abstractions to the raw protocol.

Why it matters

The specialization covers the agent stack I work in daily — tools, memory, state machines and protocols — and the labs show I can carry patterns across languages, from the course's Python to TypeScript and, in Akashi, to Dart.

Courses

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