Uploaded June 2026 | Updated September 2026, 2 weeks ago
What you'll learn
- Understand what Microsoft Foundry provides (model access, orchestration, evaluation)
- Recognize the role of Claude frontier models for reasoning, planning, and agent workflows
- Identify how AI apps differ from traditional apps (goal-driven, multi-step, tool-using systems)
- Explore real-world scenarios: copilots, agents, automation workflows
Use Foundry to:
- Deploy models (Claude + others)
- Access APIs and endpoints
Learn core concepts:
- Prompt design for apps vs chat
- Context management and grounding
- Tool invocation patterns (APIs, data, services)
Build simple AI app components (chat, summarization, classification)
What you'll learn:
- Identify and describe AI app or agent use cases that can be implemented using Azure Foundry and Claude.
- Create a working AI app that calls a Claude model via Foundry APIs and returns structured output.
Who should attend:
Developers, solution architects, and technical professionals who want to:
Build Intelligent Applications with Foundry + Claude
- Develop skills to select, integrate, and deploy Claude models via Azure Foundry for real-world AI solutions.
Use Agentic Workflows & Automation
- Design and orchestrate multi-step AI workflows and agents that execute tasks across systems and data sources
🔗 Dig in: aiskillsnavigator.microsoft.com
📌 This session is a part of a series - learn more here: https://aka.ms/AzureDecoded/reactor
Chapters:
0:00 Introduction
0:52 Welcome and Introduction to Bob Tickleman
2:35 Microsoft's Partnership with OpenAI and Anthropic
4:08 Microsoft 365 Copilot Overview and Work IQ
6:06 Using Claude Models in M365 Copilot Chat
7:50 Restrictions and Sovereign Clouds
8:40 Differences Between Agent Builder, Copilot Studio, and Azure Foundry
11:37 Prerequisites for Azure Foundry (EA/MCA-E, RBAC, Regions)
13:33 Security and Data Governance
15:44 Demonstrating the 'Model Council' Feature
18:44 Using Agents in Chat
21:56 Building Agents in Copilot Studio
23:05 How to Choose Between Models
26:52 Creating Agentic Workflows
30:30 Evolution of AI Services at Microsoft
33:04 Azure Resource Hierarchy and Setup
36:46 Accessing and Navigating Azure Foundry
40:11 Exploring the Foundry Build Interface
41:26 Comparing Models and Metric Evaluations
43:34 Deploying Models and Managing Quotas
47:44 Connecting via API Keys and SDKs
51:49 Summary and Closing
#MSFTReactor #learnconnectbuild
[eventID:27179]
What you'll learn
- Understand what Microsoft Foundry provides (model access, orchestration, evaluation)
- Recognize the role of Claude frontier models for reasoning, planning, and agent workflows
- Identify how AI apps differ from traditional apps (goal-driven, multi-step, tool-using systems)
- Explore real-world scenarios: copilots, agents, automation workflows
Use Foundry to:
- Deploy models (Claude + others)
- Access APIs and endpoints
Learn core concepts:
- Prompt design for apps vs chat
- Context management and grounding
- Tool invocation patterns (APIs, data, services)
Build simple AI app components (chat, summarization, classification)
What you'll learn:
- Identify and describe AI app or agent use cases that can be implemented using Azure Foundry and Claude.
- Create a working AI app that calls a Claude model via Foundry APIs and returns structured output.
Who should attend:
Developers, solution architects, and technical professionals who want to:
Build Intelligent Applications with Foundry + Claude
- Develop skills to select, integrate, and deploy Claude models via Azure Foundry for real-world AI solutions.
Use Agentic Workflows & Automation
- Design and orchestrate multi-step AI workflows and agents that execute tasks across systems and data sources
🔗 Dig in: aiskillsnavigator.microsoft.com
📌 This session is a part of a series - learn more here: https://aka.ms/AzureDecoded/reactor
Chapters:
0:00 Introduction
0:52 Welcome and Introduction to Bob Tickleman
2:35 Microsoft's Partnership with OpenAI and Anthropic
4:08 Microsoft 365 Copilot Overview and Work IQ
6:06 Using Claude Models in M365 Copilot Chat
7:50 Restrictions and Sovereign Clouds
8:40 Differences Between Agent Builder, Copilot Studio, and Azure Foundry
11:37 Prerequisites for Azure Foundry (EA/MCA-E, RBAC, Regions)
13:33 Security and Data Governance
15:44 Demonstrating the 'Model Council' Feature
18:44 Using Agents in Chat
21:56 Building Agents in Copilot Studio
23:05 How to Choose Between Models
26:52 Creating Agentic Workflows
30:30 Evolution of AI Services at Microsoft
33:04 Azure Resource Hierarchy and Setup
36:46 Accessing and Navigating Azure Foundry
40:11 Exploring the Foundry Build Interface
41:26 Comparing Models and Metric Evaluations
43:34 Deploying Models and Managing Quotas
47:44 Connecting via API Keys and SDKs
51:49 Summary and Closing
#MSFTReactor #learnconnectbuild
[eventID:27179]
