Uploaded September 2026 | Updated September 2026, 3 weeks ago
Join this interactive, hands-on session where you'll learn how to design, build, and test your own AI agents using practical, real-world techniques. From defining an agent’s purpose and goals to connecting the right data and knowledge sources, you'll gain a step-by-step framework for creating intelligent solutions that deliver meaningful outcomes.
Through guided exercises and live demonstrations, you'll explore how to evaluate agent performance, refine behavior, and adapt agents to real business scenarios. Whether you're just getting started or looking to enhance existing solutions, you'll leave with a working agent, a repeatable development approach, and the confidence to apply AI agents to solve everyday business challenges.
🔗https://aka.ms/AgentsBuilder901
📌 This event is a part of a series, learn more here: https://aka.ms/AgentBuildAlongSeries
0:06 Introduction and Housekeeping
0:59 Welcome and Session Overview
2:10 Accessing Build-Along Materials (GitHub)
3:38 Navigating to Agent Builder
5:50 Naming and Describing the Agent
8:03 Configuring Agent Instructions
10:44 Understanding Model Logic (Auto vs. Think Deeper)
11:56 Uploading Knowledge/Grounding Data
14:28 Setting Up Suggested Prompts
18:18 Recap of Configuration Steps
19:25 Creating and Launching the Agent
21:04 Testing the Agent and Validating Sources
24:46 Advanced Features: Scheduling and Exporting
27:56 Sharing and Collaboration
31:18 Choosing LLM Models
34:36 Admin Monitoring and Security (Agent 365)
35:54 Understanding Agent vs. Co-pilot
40:54 Q&A and Closing Remarks
[eventID:27407]
Join this interactive, hands-on session where you'll learn how to design, build, and test your own AI agents using practical, real-world techniques. From defining an agent’s purpose and goals to connecting the right data and knowledge sources, you'll gain a step-by-step framework for creating intelligent solutions that deliver meaningful outcomes.
Through guided exercises and live demonstrations, you'll explore how to evaluate agent performance, refine behavior, and adapt agents to real business scenarios. Whether you're just getting started or looking to enhance existing solutions, you'll leave with a working agent, a repeatable development approach, and the confidence to apply AI agents to solve everyday business challenges.
🔗https://aka.ms/AgentsBuilder901
📌 This event is a part of a series, learn more here: https://aka.ms/AgentBuildAlongSeries
0:06 Introduction and Housekeeping
0:59 Welcome and Session Overview
2:10 Accessing Build-Along Materials (GitHub)
3:38 Navigating to Agent Builder
5:50 Naming and Describing the Agent
8:03 Configuring Agent Instructions
10:44 Understanding Model Logic (Auto vs. Think Deeper)
11:56 Uploading Knowledge/Grounding Data
14:28 Setting Up Suggested Prompts
18:18 Recap of Configuration Steps
19:25 Creating and Launching the Agent
21:04 Testing the Agent and Validating Sources
24:46 Advanced Features: Scheduling and Exporting
27:56 Sharing and Collaboration
31:18 Choosing LLM Models
34:36 Admin Monitoring and Security (Agent 365)
35:54 Understanding Agent vs. Co-pilot
40:54 Q&A and Closing Remarks
[eventID:27407]
