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Course Outline
Core Principles of AI Agents on Azure
- Distinguishing AI agents from conventional chatbots.
- Exploring common business applications and solution patterns.
- Reviewing Azure AI services employed in agent creation.
- Designing agent workflows from initial request to final response.
Configuring the Azure Environment and Tools
- Examining Azure resources involved in straightforward agent solutions.
- Exploring Azure AI Foundry and associated utilities.
- Setting up access permissions, project configurations, and model integrations.
Developing a Fundamental Agent
- Establishing the agent's persona, directives, and anticipated conduct.
- Incorporating Azure OpenAI models into the agent's workflow.
- Refining prompts to enhance response accuracy.
- Executing a practical agent construction task.
Integrating Knowledge and Retrieval Systems
- Understanding the basics of retrieval-augmented generation.
- Linking the agent to documents and organizational content.
- Leveraging Azure AI Search to provide evidence-based answers.
- Verifying relevance and minimizing erroneous outputs.
Assessment, Safety, and Governance
- Implementing guardrails and responsible AI methodologies.
- Measuring agent performance using practical test cases.
- Overseeing access control, data management, and usage policies.
Deployment and Operational Preparation
- Evaluating release strategies for internal and customer-facing systems.
- Tracking agent behavior, usage metrics, and performance.
- Resolving typical issues to enhance system stability.
- Identifying subsequent steps for evolving the solution post-course.
Requirements
- Familiarity with fundamental cloud concepts and essential Azure services.
- Practical experience with web applications, APIs, or the Microsoft Azure portal.
- Basic proficiency in programming with a contemporary language.
Target Audience
- Developers aiming to create AI-driven applications on Azure.
- Solution architects investigating agent-based architectures for business scenarios.
- Technical specialists seeking a practical entry point into Azure AI agent development.
7 Hours
