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Course Outline
Foundations of AI Agents on Azure
- Definition of AI agents and their distinctions from standard chatbots
- Typical business use cases and solution patterns
- Overview of Azure AI services utilized for agent development
- Planning an agent workflow from user request to response
Azure Environment and Tooling Setup
- Reviewing the Azure resources employed in a simple agent solution
- Navigating Azure AI Foundry and related tools
- Preparing access, project settings, and model connections
Building a Basic Agent
- Defining the agent's role, instructions, and expected behavior
- Utilizing Azure OpenAI models within an agent workflow
- Testing prompts and enhancing response quality
- Executing a hands-on agent build exercise
Connecting Knowledge and Retrieval
- Introduction to retrieval-augmented generation
- Connecting the agent to documents and business content
- Leveraging Azure AI Search to support grounded answers
- Validating relevance and reducing inaccurate responses
Evaluation, Safety, and Governance
- Implementing guardrails and responsible AI practices
- Evaluating agent quality through practical test scenarios
- Managing access, data handling, and usage considerations
Deployment and Operational Readiness
- Deployment options for internal and customer-facing solutions
- Monitoring agent behavior, usage, and performance
- Troubleshooting common issues and improving reliability
- Next steps for extending the solution after the course
Requirements
- Fundamental understanding of cloud concepts and core Azure services
- Experience with web applications, APIs, or usage of the Microsoft Azure portal
- Basic programming proficiency in any modern language
Audience
- Developers aiming to create AI-powered applications on Azure
- Solution architects exploring agent-based solutions for business scenarios
- Technical professionals seeking a practical introduction to Azure AI agent development
7 Hours
