Build AI Agents with Azure Logic Apps | DEM546
In this session, dive deep into building intelligent, agent-based AI solutions using Azure Logic Apps. Learn how to create agents that autonomously interact with your data, processes, and external systems using large language models (LLMs) to drive dynamic orchestration across multiple AI services and workflows.Experience new developer capabilities in VS Code that simplify integrating AI tools, managing workflows, and adding human oversight where needed. Through hands-on demonstrations and real-world use cases, you'll discover how to develop, monitor, and scale AI agents to automate intelligen…
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Chapters (9)
Introduction of Azure Logic Apps Team Members
0:24
Overview of Azure Logic Apps as an Enterprise Orchestration Platform
3:56
Inputting System Instructions for Agent
4:14
Integrating Business Data and Actionable Tools
7:33
Displaying Open Calendar Slots
7:40
Introduction of 'On Behalf of Connections'
10:28
Notification of Scheduled Interview and Authorization Request
11:51
Notification Display in Teams
12:33
Job Postings and Candidates Tool Exploration
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1
![What you need to know about LLMs [Pt 1]](https://i.ytimg.com/vi/GQ_2OjNZ9aA/mqdefault.jpg)
2
![Get started with AI for free using Phi-3 [Pt 6]](https://i.ytimg.com/vi/Ds32MS9SHzU/mqdefault.jpg)
3
![Azure tools & services for hosting and storing AI apps [Pt 9]](https://i.ytimg.com/vi/WB6Fpzhwyug/mqdefault.jpg)
4
![Run AI models on your local machine with Ollama [Pt 5]](https://i.ytimg.com/vi/dLfNnoPv4AQ/mqdefault.jpg)
5
![Streaming Generative AI output with the AI Chat Protocol [Pt 10]](https://i.ytimg.com/vi/fzDCW-6hMtU/mqdefault.jpg)
6
![Essential prompt engineering techniques [Pt 2]](https://i.ytimg.com/vi/gQ6TlyxBmWs/mqdefault.jpg)
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![Improve AI accuracy and reliability with RAG [Pt 3]](https://i.ytimg.com/vi/xkFOmx5yxIA/mqdefault.jpg)
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