Microsoft Azure offers multiple services that enable developers to build amazing AI-powered solutions. Proper planning and preparation involves identifying the services you'll use and creating an optimal working environment for your development team.
Learning objectives
By the end of this module, you'll be able to:
Identify common AI capabilities that you can implement in applications
Describe Azure AI Services and considerations for using them
Describe Azure AI Foundry and considerations for using it
Identify appropriate developer tools and SDKs for an AI project
Describe considerations for responsible AI
Follow along with the content here:
Plan and prepare to develop AI solutions on Azure - https://aka.ms/LLAAA/2y
Explore more resources:
Practical Foundation for AI Agents: A Developer's Guide on Azure AI Foundry, Apps, and Data: https://aka.ms/ai_agents_apps__data
Build secure and responsible AI solutions and manage generative AI lifecycles: https://aka.ms/ManageGenAILifecycles
Create agentic AI solutions by using Azure AI Foundry: https://aka.ms/CreateAgenticAISolutions
📌 This session is a part of a series, learn more here: https://aka.ms/LearnLive/AIAgents
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05:17:16 Code of conduct
05:56:13 Speaker intros
01:05:32:21 Closing
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