Microsoft Azure Agentic AI Engineer

A free, self-paced 21 module training curriculum for Microsoft Azure Agentic AI Engineer, built for developers building agentic AI systems on Microsoft Azure. Completing every module issues a printable 21.0 contact hour certificate from TECHLEAD 187 LLC.

• 21 modules
• 21.0 contact hours
• 4 domains
• Self-paced
• Free to use

Domains covered

• Fundamentals: 3 modules
• Development: 7 modules
• AI Engineering: 4 modules
• Agentic AI: 7 modules

Module syllabus

1. 1.1 Cloud Concepts
   Describing cloud computing models (IaaS, PaaS, SaaS), deployment types, and the benefits of high availability, scalability, and elasticity on Azure.
2. 1.2 Core Azure Services
   Describing Azure architecture: regions, availability zones, resource groups, and the core compute, networking, and storage services.
3. 1.3 Governance & Cost
   Describing Azure management and governance: Azure Policy, RBAC, resource locks, and controlling spend with Microsoft Cost Management.
4. 2.1 App Service Web Apps
   Implementing Azure App Service web apps: deployment slots, autoscaling, configuration settings, and diagnostics.
5. 2.2 Azure Functions
   Implementing Azure Functions: triggers, bindings, Durable Functions, and serverless event processing.
6. 2.3 Containerized Solutions
   Deploying containerized solutions with Azure Container Registry, Azure Container Instances, and Azure Container Apps.
7. 2.4 Storage & Cosmos DB
   Developing solutions with Azure Blob Storage and Azure Cosmos DB, including partitioning, consistency levels, and SDK operations.
8. 2.5 Entra ID Auth & Secrets
   Implementing authentication and authorization with Microsoft Entra ID, MSAL, managed identities, and Azure Key Vault.
9. 2.6 Messaging & Events
   Developing message-based and event-driven solutions with Azure Service Bus, Storage queues, Event Grid, and Event Hubs.
10. 2.7 Monitoring & Insights
    Instrumenting solutions with Application Insights and Azure Monitor for logging, metrics, and distributed tracing.
11. 3.1 Azure AI Services
    Planning, provisioning, and securing Azure AI services, including keys, endpoints, and containerized deployment.
12. 3.2 Foundry Models & OpenAI
    Deploying Azure OpenAI and Foundry models in Microsoft Foundry: model catalog, deployments, and chat completions.
13. 3.3 RAG with AI Search
    Building retrieval-augmented generation with Azure AI Search: vector indexes, hybrid queries, and grounding models on your own data.
14. 3.4 Responsible Gen AI
    Implementing responsible AI with Azure AI Content Safety: content filters, harm categories, and prompt shields.
15. 4.1 Foundry Agent Service
    Building and managing AI agents with Foundry Agent Service: threads, tool calling, knowledge grounding, and connected agents.
16. 4.2 Semantic Kernel Agents
    Developing agents with the Semantic Kernel Agent Framework: chat completion agents, plugins, and function calling.
17. 4.3 Multi-Agent Orchestration
    Orchestrating multi-agent systems with Microsoft Agent Framework and AutoGen: group chats, handoffs, and workflow patterns.
18. 4.4 MCP Integration
    Integrating Model Context Protocol (MCP) servers and tools into Azure agents, including the Azure MCP Server.
19. 4.5 Agent Evaluation & Safety
    Evaluating agent quality and safety with Foundry evaluators: intent resolution, tool call accuracy, and risk and safety assessments.
20. 4.6 Agent Observability
    Implementing agent observability with tracing, continuous evaluation, and Application Insights via OpenTelemetry.
21. 4.7 Deploying Agents
    Deploying production agents to Azure Container Apps and AKS with managed identity, scaling, and cost controls.

What each module includes

An executive lesson briefing with five key concepts and official vendor documentation references, a scenario based knowledge check scored for mastery, an applied scenario evaluation, and supplemental verified videos plus official free hands on labs where available.

Other curricula

Published by TECHLEAD 187 LLC. Training certificates evidence completed instruction and contact hours; they are not vendor certifications and do not by themselves satisfy technical compliance requirements. Not affiliated with or endorsed by Google, Amazon Web Services, Microsoft, ISC2, Anthropic, or any U.S. government agency.