5 AI Agents Every IT Professional
Should Have Running by Now
LLM APIs · LangGraph · RAG · MCP · Production Agents
6 modules. Real enterprise scenarios. The exact agents your peers already run to automate IT work, connect enterprise systems, and get AI safely into production.
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6
Modules
~4 hrs
Total time
Free
Certificate
2026
Content
What you will master
The exact agents separating IT professionals who lead AI adoption
from those who watch it happen
LLM APIs & Model Selection
The IT Professional's Decision Framework
Spec an LLM integration to your team. Justify model selection to your CTO. Real token pricing, context tradeoffs, streaming vs batch, build vs buy.
Your First AI Agent with LangGraph
When Your AI Needs to Think in Steps
Design multi-step AI agents with state machines, conditional routing, and tool use. Know exactly when agents beat direct API calls — and when they don't.
RAG Agent
Connecting Your AI to Enterprise Data
Answer your CIO's question: 'Can we make AI work on our proprietary data?' with a concrete, secure architecture. pgvector, chunking, hybrid search.
MCP and Tool-Use
Connecting Agents to Your Enterprise Systems
Connect AI agents to any internal tool, database, or API using the Model Context Protocol. Jira, Confluence, Slack, your own APIs — all from one agent.
AI Agents in Your Architecture Work
ADRs, Diagrams, and Design Reviews at Speed
Ship Architecture Decision Records, C4 diagrams, and RFC drafts in half the time. AI as a thinking partner for the work only you can do.
Agents in Production
Running Reliable AI in the Real World
Define production readiness for any AI agent. Cost controls, latency SLOs, fallback patterns, prompt injection defence, observability dashboards.
This is for you if…
You're an IT professional, architect, or engineer who's heard 'we need AI agents' in every meeting this quarter
You've seen demos of LangChain, LangGraph, or MCP but haven't had time to dig into what actually matters for production
You need to connect an AI agent to your internal tools, databases, or APIs — and want the right architecture
You need to speak authoritatively about AI agents to your CTO, CIO, or leadership team
You're a complete beginner to IT — this course assumes you've designed or reviewed systems before
You want a deep data science tutorial — this is practitioner-level: decisions, integrations, and production deployments
What IT professionals say
“Module 3 alone saved me 3 days of research. I presented the RAG architecture to the board the next morning.”
Rahul M.
Solution Architect, TCS
“The MCP module is exactly what I needed. We connected our AI agent to 4 internal tools in a day. No more hardcoded integrations.”
Priya S.
Platform Engineer, Infosys
“I used the LangGraph module to spec our agent pipeline. My team shipped it in a sprint. First time AI work didn't drag on forever.”
Vikram N.
Senior Engineer → Architect
After this free course
You've built the foundation. Here's where IT professionals go next.
Paid courses that take what you learned here to production depth.
Generative AI for Enterprise
Build internal AI tools with LangGraph, RAG at scale, and production deployments your team actually ships
₹2,999
AI Strategy for IT Leaders
Turn your technical foundation into a board-ready AI strategy, governance framework, and 12-month roadmap
₹4,999
Agentic AI in Production
Multi-agent orchestration, MCP servers at scale, evaluation frameworks, and enterprise-grade agent deployment
₹2,999
Shown after you complete the free course — no pressure during the free experience.
Start today.
Your peers already are.
6 modules. A shareable certificate. The clarity to lead your team's AI agent adoption — starting this weekend.
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