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Course Outline
Foundations of AI Agents on Azure
- An overview of what AI agents are and how they differ from standard chatbots.
- Common business use cases and solution patterns.
- A look at the Azure AI services employed for agent development.
- Planning an agent workflow from user request to response generation.
Azure Environment and Tooling Setup
- Reviewing the Azure resources utilized in a simple agent solution.
- Navigating Azure AI Foundry and associated tools.
- Setting up access, project configurations, and model connections.
Building a Basic Agent
- Defining the agent's role, instructions, and expected behavior.
- Implementing Azure OpenAI models within an agent workflow.
- Testing prompts and refining response quality.
- Completing a hands-on agent build exercise.
Connecting Knowledge and Retrieval
- Introduction to retrieval-augmented generation (RAG).
- Linking the agent to documents and business content.
- Utilizing Azure AI Search to support 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
- Exploring deployment options for internal and customer-facing solutions.
- Monitoring agent behavior, usage patterns, and performance.
- Troubleshooting common issues to improve reliability.
- Identifying next steps for extending the solution post-course.
Requirements
- Foundational understanding of cloud concepts and core Azure services.
- Experience with web applications, APIs, or using the Microsoft Azure portal.
- Basic programming proficiency in any modern language.
Audience
- Developers aiming to construct AI-powered applications on Azure.
- Solution architects investigating agent-based solutions for business scenarios.
- Technical professionals seeking a practical introduction to Azure AI agent development.
7 Hours
