AI BootCamps (7 Courses)
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Course Category
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Enterprise Teams Trained
This 12-hour Enterprise AI Agents on Azure program takes you from an empty Azure subscription to a multi-agent system running in production on Microsoft Foundry. You deploy a machine learning model and a foundation model, build a retrieval-augmented generation (RAG) application over your own documents, build single and multi-agent systems, and operate them with tracing, guardrails and cost controls.
Every module ends in a working lab. You build agents in the Foundry portal and in Python with the Microsoft Agent Framework, connect tools through the Model Context Protocol (MCP), and link agents with the Agent2Agent (A2A) protocol. Module 5 shows how to bring existing LangGraph or CrewAI agents onto Azure.
The course covers the generative AI and agent skills in Microsoft's AI-103 exam, a practical foundation for the Azure AI Apps and Agents Developer Associate certification.
12 Hours. 6 Modules. 10 Hands-On Labs. - Live instructor-led training using real Azure resources.
Build the Full AI Application Stack - Deploy ML and foundation models, build LLM applications, RAG solutions and AI agents.
Build Multi-Agent Systems - Use Microsoft Agent Framework, MCP tools, orchestration patterns and A2A communication.
From Prototype to Production - Deploy agents on Foundry Agent Service with tracing, evaluation, security and cost controls.
Build Three Deployed Projects - Create an ML endpoint, RAG application and production-oriented multi-agent system.
Aligned to Microsoft AI-103 - Build practical foundations for the Azure AI Apps and Agents Developer Associate certification.
Azure essentials for AI builders
Microsoft Foundry architecture
Lab 1: environment setup
Outcome:
Lab 2a: deploy an MLmodel
Lab 2b: deploy a foundation model
Customize and control
Outcome:
Prompting and structured output
Lab 3a: RAG with Azure AI Search
Lab 3b: guardrails and evaluation
Outcome:
Agent design
Lab 4a: build a single agent
Lab 4b: tools with MCP
Outcome:
Orchestration patterns
Lab 5: build a multi-agent workflow
Agent-to-agent communication
Outcome:
Lab 6a: deploy agents
Lab 6b: observability and evaluation
Governance, cost and wrap-up
Outcome:
I enrolled in the Enterprise AI Agents on Azure (Microsoft Foundry) Certification to understand how enterprise-grade AI agents are built and deployed. The course covered Azure AI Foundry, agent orchestration, prompt flows, and deployment with practical demonstrations that made the concepts easy to follow.
The hands-on labs and real-world implementation helped me gain confidence in building AI solutions for enterprise use cases. I have already started applying some of these concepts in my work. The trainers explained every topic patiently and answered all our questions. I would definitely recommend this certification to professionals looking to build enterprise AI skills on Azure.
I was looking for a course focused on enterprise AI rather than just theory. This certification delivered exactly that. Learning Azure AI Foundry through practical exercises and real-world scenarios helped me understand how to design, deploy, and manage AI agents in enterprise environments.
The training material was well structured, the labs were highly practical, and the instructors shared valuable implementation insights from industry. It has given me the confidence to recommend Azure AI solutions to my clients. Definitely worth the investment.
I wanted to understand how organizations are adopting Enterprise AI on Microsoft Azure, and this certification exceeded my expectations. Every session included practical examples, live demonstrations, and hands-on exercises using Azure AI Foundry, making it easy to connect the learning with real business use cases.
The trainers made complex concepts simple to understand, and the support throughout the course was excellent. This certification has helped me confidently participate in AI initiatives within my organization. I highly recommend it to anyone looking to build practical enterprise AI skills.
It covers the generative AI and agent domain and part of the planning domain, roughly half of the exam. Plan for the exam-prep add-on before booking.
You need agent fundamentals. The GenAI and Agentic AI BootCamp provides them, and equivalent hands-on experience also qualifies.
No. The ML model is pre-trained and the foundation model is built by its vendor. You deploy both, then build the LLM application and agents that use them.
A RAG application with guardrails and evaluation, a multi-agent system deployed on Foundry Agent Service with tracing, and an ML model on a live endpoint.
Labs use small models and short-lived resources, and Module 1 sets a budget alert. Delete the resources after the final demo to stop charges.
Yes. Corporate cohorts are available with flexible scheduling.