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Course Outline
Foundations of AI Agents on Azure
- Defining AI agents and their distinction from standard chatbots.
- Common commercial use cases and solution patterns.
- Overview of Azure AI services utilized for agent development.
- Strategizing an agent workflow from user request to response delivery.
Azure Environment and Tooling Setup
- Reviewing the Azure resources required for a simple agent solution.
- Navigating Azure AI Foundry and associated tools.
- Configuring access, project settings, and model connections.
Building a Basic Agent
- Defining the agent's role, instructions, and expected behavior.
- Leveraging Azure OpenAI models within an agent workflow.
- Testing prompts and enhancing response quality.
- Executing a hands-on agent construction exercise.
Connecting Knowledge and Retrieval
- Introduction to retrieval-augmented generation (RAG).
- Linking the agent to documents and proprietary 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 controls, data handling, and usage considerations.
Deployment and Operational Readiness
- Exploring deployment options for internal and customer-facing solutions.
- Monitoring agent behavior, usage metrics, and performance.
- Troubleshooting common issues and enhancing reliability.
- Next steps for extending the solution post-course.
Requirements
- Fundamental knowledge of cloud concepts and core Azure services.
- Practical experience with web applications, APIs, or the Microsoft Azure portal.
- Basic programming proficiency in any contemporary language.
Target Audience
- Developers aiming to build AI-driven applications on Azure.
- Solution architects investigating agent-based strategies for business scenarios.
- Technical professionals looking for a practical entry point into Azure AI agent development.
7 Hours
