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Course Outline
Foundations of AI Agents on Azure
- Understanding what AI agents are and how they differ from standard chatbots
- Exploring common business use cases and solution patterns
- Overview of the Azure AI services utilized for agent development
- Planning agent workflows from initial user request to final response
Setting Up the Azure Environment and Tools
- Reviewing the Azure resources involved in a basic agent solution
- Navigating Azure AI Foundry and associated tools
- Configuring access, project settings, and model connections
Constructing a Basic Agent
- Defining the agent's role, instructions, and expected behaviors
- Incorporating Azure OpenAI models into agent workflows
- Testing prompts and refining response quality
- Executing a hands-on exercise to build an agent
Integrating Knowledge and Retrieval
- Introduction to retrieval-augmented generation
- Connecting agents to documents and business content
- Leveraging Azure AI Search to support fact-based answers
- Verifying relevance and minimizing inaccurate responses
Evaluation, Safety, and Governance
- Implementing guardrails and responsible AI practices
- Assessing agent performance using 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 metrics, and performance
- Addressing common issues and enhancing reliability
- Identifying next steps for expanding the solution post-course
Requirements
- Familiarity with cloud computing principles and core Azure services
- Hands-on experience with web applications, APIs, or the Microsoft Azure portal
- Fundamental programming skills in any modern programming language
Intended Audience
- Developers aspiring to create AI-driven applications on Azure
- Solution architects investigating agent-based approaches for specific business scenarios
- Technical specialists looking for a practical introduction to developing AI agents on Azure
7 Hours
