SunitechAI

Certification Workshop – Build Autonomous Agents on Microsoft Azure

 📅 June 22 – 26, 2026 | 💻 Live Online Training | ⚙️ Azure Sandbox Included

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).

A single agent, much like a single employee, has limitations. However, when you enable them to communicate and share information, their collective power grows exponentially. This workshop introduces the practical “Model Context Protocol (MCP),” a digital workspace that allows your agents to share data, post status updates, and coordinate their actions seamlessly. 

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Days
Hours
Minutes
Seconds
Collaborative AI agents workshop illustrating a multi-agent system for business automation

 5,999.00

(Limited seats)

Level: Beginner

Mode: Online

Certification Available

Duration: 5 days

Hands-on Coding

What You Will 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:

Who is This Workshop For?

Seats Are Filling Fast!

Don’t miss your chance to learn one of the most in-demand AI frameworks of 2026, straight from industry experts.

Offers: 

  1. EARLY BIRD Offer: INR 1000 Instant discount for first 10 registrations by using coupon code EARLY1000

  2. TEAM UP Offer: Register with two or more colleagues from your organization and receive a 40% discount on all seats by using coupon code COLABAI40.

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.

About Faculty

Shubham Sharma

Shubham has 9+ years of experience in Data Science & AI and is currently building SunitechAI, which is an AI-powered upskilling platform. He offers consulting to companies on a variety of Data Science problems and has developed internal tools for Anomaly Detection & Classification in AWS for Quickbase, Boston, USA. He mentors and advises working professionals on the latest data science tools and technologies, moderates live sessions from MIT Professors (Cambridge, MA, USA) and provides advice on business problems as a Guest Mentor.

 

He has done Masters in Data Science from SUNY Buffalo, New York, holds a B.Tech in Petroleum Engineering from IIT(ISM) Dhanbad and has worked in the Data Science team at Baker Hughes and at the University of Pennsylvania.

Our Past Workshops

Who Should attend this workshop?

Entrepreneurs

Software Engineers

Mid-level Managers & PMs

Business Leaders

Al enthusiasts/ Researchers

Workshop Resources Provided

01

Live Azure Sandbox: No complex local setup required. We provide the cloud environment.

02

Source Code & Data: Full access to the GitHub repo, mock e-commerce databases, and LangGraph blueprints.

03

Curated Learning Path for Advanced AI Agent Development

04

Official Certification: Earn your “Build Autonomous Agents on Microsoft Azure” certificate upon completion.

05

Lifetime Replays: Access all session recordings and materials indefinitely.

06

Exclusive Access to the SunitechAI Developers Community

Workshop Resources Provided

01

Live Azure Sandbox: No complex local setup required. We provide the cloud environment.

02

Source Code & Data: Full access to the GitHub repo, mock e-commerce databases, and LangGraph blueprints.

03

Curated Learning Path for Advanced AI Agent Development

04

Official Certification: Earn your “Build Autonomous Agents on Microsoft Azure” certificate upon completion.

05

Lifetime Replays: Access all session recordings and materials indefinitely.

06

Exclusive Access to the SunitechAI Developers Community

Add-on Benefits

Exclusive invite to Sagemind, the AI-Powered LMS from SunitechAI

Flat 10% off coupon code applicable on all SunitechAI’s courses

Early access to SunitechAI’s upcoming workshops & events

Accelerate your company’s projects with a discounted, private one-on-one consulting session with our Data Science & Generative AI experts

Testimonials

FAQs

What are the prerequisites for optimal course comprehension?

Learners should have basic proficiency in a programming language (e.g. Python) and basic understanding of LLMs and GenAI concepts is recommended for optimal learning. If you are new to Large Language Models, our LLMs: Applications in Enterprises course is ideal. It focuses on the core understanding of the Transformer architecture and foundational models.

Imagine a team of human experts: a researcher, an analyst, and a writer, working on a critical report. If they all work in separate rooms with no way to communicate or share documents, the project will fail. They need a shared workspace: a central table for their documents, a whiteboard for status updates, and a common language to understand each other.

 

The Model Context Protocol (MCP) is the practical name for this digital “shared workspace” for AI agents. It’s a central server that acts as a single source of truth, allowing our agents to:

  • Share State: Post status updates so other agents know what they’re doing.
  • Access Tools & Data: Use shared resources like files, databases, and APIs.
  • Coordinate Actions: Work together in a structured way to solve complex problems.

By implementing an MCP, we transform a group of individual AI workers into a cohesive, intelligent, and autonomous team.

  • 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.

Organizer

SunitechAI

SunitechAI aims to provide professional training and educational courses in Data Science and Artificial Intelligence (AI) technologies, equipping individuals and organizations with advanced skills in these high-demand fields. Additionally, it offers corporate consulting services to help businesses leverage Data Science and AI for enhanced decision-making.

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