Certification Workshop

Build Autonomous Agents
on Microsoft Azure

Master the tools powering the next generation of enterprise AI. Join our immersive certification workshop to build, govern, and deploy a fully functional multi-agent system using LangGraph, Microsoft Azure and the Model Context Protocol (MCP).

📅 Dates: June 1–5, 2026 💻 Mode: Live Online ⚙️ Azure Sandbox Included Level: Beginner Duration: 5 Days Certification: Available

Buy Now — $30.00 Try Day 1 for Free View Agenda

Workshop Fee

$30.00

⚡ Limited seats — June 1–5, 2026

Live Azure Sandbox — no complex local setup required
Source Code & Data (GitHub repo + LangGraph blueprints)
Official Certification: Build Autonomous Agents on Microsoft Azure
Lifetime replay access to all sessions & materials
Exclusive SunitechAI Developers Community access
Curated learning path for Advanced AI Agent Development

Buy Now — $30.00

🎟️ Use code EARLY1000 for 25% off (first 10 seats)

👥 Teams of 2+: Use COLABAI40 for 40% off

What You'll Build: The E-Commerce Refund Desk

You will get access to a live Azure Sandbox environment to build a Responsible AI-Powered Customer Support Agent from scratch. By the end of the week, your AI system will autonomously:

🧠

Triage & Reason

Read emails and detect customer intent using LangGraph state management and intelligent routing.

💾

Access Memory

Remember past interactions using LangGraph checkpointers for persistent, context-aware conversations.

⚡

Take Action

Use APIs via MCP to look up orders and process refunds automatically.

🛡️

Ensure Compliance

Mask PII and enforce company policies using RAG (Retrieval-Augmented Generation).

🙋

Ask for Permission

Pause workflows for Human-in-the-Loop (HITL) manager approvals on high-value refunds.

A single agent, much like a single employee, has limitations. When you enable them to communicate and share information, their collective power grows exponentially — all triggered by a single customer email.

Workshop Agenda

Day 1

Agentic Foundations

We open with a 30-minute FREE live demonstration of the finished agent at work. Then, dive into core agent concepts and initialize your Azure Sandbox.

Day 2

Building the Brain: Reasoning, Memory & Orchestration

Master state management. Learn how to give your AI persistent memory and complex routing capabilities using LangGraph.

Day 3

Equipping the Agent: Tools, MCP, & Integrations

Give your AI hands. Build RAG pipelines and implement the Model Context Protocol (MCP) to securely connect your agent to enterprise databases and APIs.

Day 4

Guardrails & Governance: Security & Human-in-the-Loop

Trust is everything. Implement PII masking, prompt injection defenses, and manager approval workflows (HITL) for high-risk actions.

Day 5

Production-Ready Agents: Observability & Evaluation

Move to production safely. Set up automated evaluation metrics and trace reasoning bottlenecks using LangSmith.

What You'll Learn

Build Intelligent AI Agents using modern frameworks
Architect Multi-Agent Systems for seamless communication
Integrate Tools like APIs, databases, and file systems
Develop a Portfolio-Ready MVP for business automation
Strategize and Deploy intelligent automation solutions at scale

Prerequisites

Basic proficiency in a programming language (e.g. Python)
Basic understanding of LLMs and GenAI concepts
Bring your own laptop (Azure Sandbox is provided)

Who Should Attend

💻

Software Engineers / Developers

Looking to build next-generation AI applications

📊

Product Managers

Aiming to understand and leverage agentic AI for new features

🚀

Entrepreneurs / Business Leaders

Seeking to implement intelligent automation in their org

🔬

AI Researchers / Students

Wanting practical, hands-on experience with multi-agent systems

📈

Mid-level Managers & PMs

Looking to leverage AI for smarter, faster business decisions

Technologies You'll Use

LangGraph Microsoft Azure Model Context Protocol (MCP) RAG LangSmith Python

Your Instructors

Shubham Sharma

Founder, Data Science & AI Leader

9+ years of experience in Data Science & AI
Masters in Data Science, SUNY Buffalo, New York
B.Tech Petroleum Engineering, IIT(ISM) Dhanbad
Former Baker Hughes & University of Pennsylvania
Consulting for companies on Anomaly Detection & Classification in AWS
Guest Mentor: moderates live sessions from MIT Professors (Cambridge, MA)

Vamsi Kethu

Founder, Data Science & AI Leader

9+ years of experience in Data Science & AI
Masters in Data Science, SUNY Buffalo, New York
B.Tech Petroleum Engineering, IIT(ISM) Dhanbad
Former Baker Hughes & University of Pennsylvania
Consulting for companies on Anomaly Detection & Classification in AWS
Guest Mentor: moderates live sessions from MIT Professors (Cambridge, MA)

What Our Students Say

"Amazing Learning Experience — Shubham is one of the best Instructors I have known. He is very polite, humble, handles annoying questions with great patience, while understanding the audiences' question."

— Vamsi Kethu

"Great Experience — The debrief was particularly worthwhile. There were some things that I'd forgotten to consider in my project. Will carry the techniques forward for the next one!"

— Gregory Benet Timmons

"Best teacher so far! The lessons are engaging, easy to understand, and truly inspiring. Their teaching style makes complex topics simple, ensuring every student feels confident. Highly recommend!"

— Dr. Parag A Deshmukh

Ready to Build Your First Autonomous AI Agent on Azure?

Join engineers, product managers, and innovators building the future of intelligent automation. Seats are filling fast!