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Course Outline
Foundations of AI Agents on Azure
- Distinguishing AI agents from standard chatbots
- Common 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 involved 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
- Incorporating Azure OpenAI models into an agent workflow
- Testing prompts and refining response quality
- Executing a hands-on agent build exercise
Connecting Knowledge and Retrieval
- Introduction to retrieval-augmented generation
- Linking the agent to documents and business content
- Leveraging Azure AI Search to provide grounded answers
- Validating relevance and minimizing inaccurate responses
Evaluation, Safety, and Governance
- Implementing guardrails and responsible AI practices
- Assessing 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 enhancing reliability
- Next steps for extending the solution post-course
Requirements
- Fundamental understanding of cloud concepts and core Azure services
- Experience with web applications, APIs, or familiarity with the Microsoft Azure portal
- Basic programming proficiency in any contemporary language
Audience
- Developers interested in creating AI-driven applications on Azure
- Solution architects investigating agent-based solutions for business scenarios
- Technical professionals seeking a practical introduction to developing AI agents on Azure
7 Hours
