AI-103 AI-200 Azure Agentic AI Combined - Complete Course
Published 9/2026
Created by Luke Ginn
MP4 | Video: h264, 1920x1080 | Audio: AAC, 44.1 KHz, 2 Ch
Level: All Levels | Genre: eLearning | Language: English | Duration: 122 Lectures ( 46h 59m ) | Size: 50.6 GB
The Complete Agentic Lifecycle: Build with AI-103, scale with AI-200, and stay ahead with AI-500.
What you'll learn
Master Agentic AI on Azure: Dive into multi-agent orchestration, reasoning loops, Agentic RAG, and grounding across the full lifecycle. Build and Scale Production Systems: Architect multi-agent workflows, then deploy them using Container Apps, AKS, and serverless patterns. Master Azure's AI Data Stack: Get hands-on with vector search in Cosmos DB, Azure AI Search, and storage for grounding and agent memory. Implement Security & Observability: Secure AI apps with Entra ID and managed identities, and monitor them with OpenTelemetry and Azure Monitor.Requirements
Basic Azure & Python Familiarity: Comfort with the Azure portal, core cloud concepts, and Python (APIs, SDKs) is helpful. No prior agent-building experience required - we cover AI-103 fundamentals from the ground up before scaling into AI-200 topics. A Developer Mindset: A willingness to engage with code, logic flows, and technical architecture. Experience with containers or Kubernetes is helpful but not required, as we build from agent creation through to production deployment.Description
AI-103: Azure AI App and Agent Developer - Complete Course
Key Benefits
End-to-End Implementation: Go beyond isolated agents with comprehensive lectures and hands-on code walkthroughs covering the full lifecycle-from Multi-Agent Orchestration and Agentic RAG to Kubernetes deployment, Cosmos DB vector search, and enterprise-scale observability.Architectural Mastery: Understand the 'why' behind every design decision with deep dives into the Microsoft Agent Framework, Azure Container Apps, AKS, and enterprise vector databases from official documentation.Build Real-World Solutions: Move from concept to production by building functional agents that leverage Grounding, Memory, and advanced Tool Calling-then deploy, secure, and scale them across enterprise cloud infrastructure.Pass Both AI-103 and AI-200 Confidently: Complement your exam practice with the technical depth and practical experience required to master Microsoft's two most in-demand AI certifications in a single, unified path.Future-Ready for AI-500: This course is being continuously expanded with new modules aligned to the emerging AI-500 syllabus, so your investment grows as the certification landscape evolves.Are you ready to lead the 2026 shift from model-centric APIs to production-grade, entity-centric orchestration at enterprise scale?
The AI-103 and AI-200 exams are challenging because they require more than just knowing concepts-they demand the ability to architect, implement, deploy, and secure complex agentic workflows. This combined course is designed to take you from the fundamentals of Azure AI Foundry all the way through to multi-agent reasoning, Kubernetes orchestration, and enterprise observability.
Updated for the latest 2026 syllabus, this lecture-based course provides the technical "missing link" between documentation and production deployment. Instead of juggling two separate courses, you get one seamless journey-build your agents, then scale them for real-world workloads.
What You Will Build and Master
Through detailed modules and technical walkthroughs, you will cover every objective domain tested on both the AI-103 and AI-200 exams
Foundry Management & Governance: Set up secure environments using Entra Agent ID and implement Red Teaming for agent safety.Generative AI & Advanced Grounding: Implement Agentic RAG and integrate with Microsoft Fabric and Cosmos DB vector search for high-context data retrieval.Multi-Agent Orchestration & Reasoning: Program complex handoffs and manager patterns using the Microsoft Agent Framework and MCP.Agentic Observability & Memory: Configure Foundry Trace and OpenTelemetry for debugging, and manage long-term state persistence with Cosmos DB, Redis, and Blob Storage.Agentic Enhancement: Extend your agents with Vision/Speech APIs and connect to enterprise data via Logic Apps.Kubernetes for AI Workloads: Deploy multi-agent systems to Azure Kubernetes Service (AKS) and Container Apps with auto-scaling, health probes, and rolling updates.Enterprise Security & Identity: Secure all AI services using Entra ID managed identities, RBAC, and Key Vault integration for secrets management.Event-Driven Multi-Agent Architectures: Build asynchronous agent workflows using Azure Service Bus, Event Grid, and Durable Functions to coordinate distributed agent handoffs at scale.Cloud Observability & Production Debugging: Configure Azure Monitor for performance alerts and debug production agent failures with Application Insights.How This Course Will Get You Certified
Deep Technical Lectures: We break down complex orchestration and cloud patterns into digestible, visual lessons so you understand the logic behind the entire agentic lifecycle.Code-First Approach: Every major concept is accompanied by a code walkthrough, ensuring you can implement Entra Agent ID, Foundry Trace, AKS deployments, and Cosmos DB grounding in your own projects.One Path, Two Certifications: Learn the how and the where-build agents in the first half, then deploy, secure, and scale them in the second. No gaps, no overlap, no wasted time.Bridge the Gap: This course is the perfect companion to dedicated practice exam courses. Learn the how here, then test your speed there.Future-Proof Your Career: Focus on the latest 2026 standards and get early access to AI-500 content as it's released, moving beyond simple prompting into autonomous, tool-calling, enterprise-scale agentic systems.This Course is Perfect For
AI Developers seeking both AI-103 and AI-200 certification who want to master the full stack-from multi-agent orchestration to Kubernetes deployment-through technical deep-dives.AI Architects building enterprise solutions on Microsoft Foundry who need to understand the underlying infrastructure, security, scaling, and observability of production agentic systems.Cloud Developers building production AI solutions on Microsoft Azure who want one unified course instead of piecing together separate learning paths.AI-500 Aspirants who want to get ahead of the curve with a course that will grow alongside Microsoft's next certification.Requirements
Basic Azure familiarity is helpful: While we cover concepts from the ground up, a general understanding of cloud services will accelerate your progress. Comfort with the Azure portal, resource groups, and basic CLI usage is recommended.A developer mindset: You should be ready to engage with code, logic flows, and the technical architecture of the Microsoft Agent Framework. Experience with containers or Kubernetes is helpful but not required-we cover AI-200 topics from the ground up.No prior agent-building experience required: Unlike standalone AI-200 courses, this combined path starts at the fundamentals, so you can begin here even if you haven't taken a separate AI-103 course first.Who this course is for
AI Developers & Architects Seeking Dual Certification: You're pursuing AI-103, AI-200, or both, and want to master the full agentic lifecycle - from multi-agent orchestration and grounding to Kubernetes deployment, vector data, and enterprise observability - through lectures and code walkthroughs. Cloud Developers Transitioning to Agentic AI: You have Azure or cloud experience (AZ-204 level or equivalent) and want to modernize your skills. You're ready to build agents, then deploy, secure, and scale them using containers, Cosmos DB, and Entra ID - without losing cloud best practices.Homepage
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