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Course Outline
Foundations of AI Agents on Azure
- What AI agents are and how they differ from standard chatbots.
- Common business use cases and solution patterns.
- Overview of Azure AI services used for agent development.
- Planning an agent workflow from user request to response.
Azure Environment and Tooling Setup
- Reviewing the Azure resources used 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 behaviour.
- Using Azure OpenAI models in an agent workflow.
- Testing prompts and improving response quality.
- Running a hands-on agent build exercise.
Connecting Knowledge and Retrieval
- Introduction to retrieval-augmented generation.
- Connecting the agent to documents and business content.
- Using Azure AI Search to support grounded answers.
- Validating relevance and reducing inaccurate responses.
Evaluation, Safety, and Governance
- Applying guardrails and responsible AI practices.
- Evaluating agent quality with practical test scenarios.
- Managing access, data handling, and usage considerations.
Deployment and Operational Readiness
- Deployment options for internal and customer-facing solutions.
- Monitoring agent behaviour, 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 the Microsoft Azure portal.
- Basic programming proficiency in any modern language.
Audience
- Developers keen on creating AI-powered applications on Azure.
- Solution architects exploring agent-based solutions for business use cases.
- Technical professionals seeking a practical introduction to Azure AI agent development.
7 Hours
