WHAT YOU WILL ACCOMPLISH
In this session, you will gain a complete understanding of how
artificial intelligence agents can automate cloud infrastructure management.
More importantly, you will learn exactly how to build your first MCP-enabled
agent, with step-by-step guidance and working code examples you can implement immediately.
THE PROBLEM YOU SOLVE
- Traditional cloud management requires you to:
- Learn and remember complex command-line syntax
- Manually navigate multiple tools and dashboards
- Spend hours on repetitive infrastructure tasks
- Maintain custom code for each new integration
- Handle errors and edge cases manually
What if you could simply ask an AI to do this for you? This session shows you exactly how.
- YOUR LEARNING PATHWAY
- This session is structured as a progressive learning experience:
- Foundation (10 minutes)
- Understand what Model Context Protocol is and why it matters.
- You will learn the conceptual framework that makes everything else possible.
- Visualization (5 minutes)
- See exactly how MCP connects artificial intelligence to cloud infrastructure.
- You will understand the architecture before building anything.
- Demonstration (8 minutes)
- Watch a real-world example of AI generating production-ready infrastructure code.
- This is not theory. This is working technology you can use today.
- Application (12 minutes)
- Learn how companies are actually using this technology. You will see concrete
- examples from Bangladesh organizations and understand how to apply the concepts to your context.
- Implementation (10 minutes)
- Step-by-step instructions to build your own MCP agent. You will have working code
- and clear guidance on next steps.
WHO SHOULD ATTEND
- Developers seeking to stay current with emerging technologies
- Cloud engineers and DevOps professionals
- Engineering managers and technical leads
- Computer science students
- Startup founders and entrepreneurs
- Anyone interested in the intersection of AI and cloud infrastructure
- You do not need prior experience with AI, cloud computing, or MCP.
- You do not need to have written any code before. This session is designed to be accessible to learners at all levels.
WHAT YOU TAKE AWAY
By the end of this session, you will have:
1. A clear understanding of Model Context Protocol and its applications
2. Hands-on knowledge of how to build AI agents for cloud operations
3. Working code examples you can run on your own machine
4. Practical templates and configuration files for getting started
5. A network connection with other developers learning the same technology
6. Clear next steps for deepening your expertise
DETAILED AGENDA
- Welcome and Session Overview
- The Problem with Current Cloud Management Approaches
- Introduction to Model Context Protocol
- Understanding AI Agent Architecture
- Azure MCP Server: Technical Architecture and Capabilities
- Live Demonstration: AI Generating Infrastructure Code
- Real-World Applications and Case Studies
- Step-by-Step Getting Started Guide
- Next Steps
TECHNICAL REQUIREMENTS
Minimal setup needed:
- Computer or tablet
- Internet connection
- Web browser
- Microphone (for Q&A session)
Time: 13th November, 2025 at 9 PM
Timezone: Bangladesh Standard Time (BST, UTC+6)
Cost: Free
Recording: Available within 24 hours
REGISTRATION AND FOLLOW-UP
Step 1: Register for the session (30 seconds)
Step 2: Attend the live session (45 minutes)
Step 3: Complete the brief survey (2-3 minutes)
Step 4: Access all resources and follow-up materials
Survey participants receive:
- Microsoft Season of AI merchandise
- Networking community access
- Notification of follow-up advanced sessions
- Direct speaker availability for questions
