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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, specifically in their capabilities and applications.
- Common business use cases and solution patterns for leveraging AI agents to enhance operational efficiency and service delivery.
- An introduction to the Azure AI services used for agent development, highlighting their roles and functionalities.
- Steps for planning an agent workflow, from initial user requests to generating appropriate responses.
Azure Environment and Tooling Setup
- A review of the Azure resources utilized in a simple agent solution, ensuring efficient resource management.
- Guidance on navigating Azure AI Foundry and related tools to streamline development processes for government.
- Instructions for preparing access, configuring project settings, and establishing model connections for secure and effective deployment.
Building a Basic Agent
- Defining the agent's role, instructions, and expected behavior to align with organizational objectives.
- Utilizing Azure OpenAI models within an agent workflow to enhance performance and accuracy.
- Techniques for testing prompts and improving response quality to ensure user satisfaction and reliability.
- A hands-on exercise to build a basic agent, providing practical experience in development for government.
Connecting Knowledge and Retrieval
- An introduction to retrieval-augmented generation and its importance in enhancing the accuracy of AI responses.
- Methods for connecting the agent to documents and business content to provide contextually relevant information.
- Using Azure AI Search to support grounded answers, ensuring that responses are accurate and reliable for government use.
- Techniques for validating relevance and reducing inaccurate responses to maintain high standards of service delivery.
Evaluation, Safety, and Governance
- Applying guardrails and responsible AI practices to ensure ethical and secure use of AI agents in government operations.
- Methods for evaluating agent quality through practical test scenarios to identify areas for improvement.
- Strategies for managing access, data handling, and usage considerations to maintain compliance and security.
Deployment and Operational Readiness
- Options for deploying internal and customer-facing solutions to maximize the impact of AI agents in government services.
- Techniques for monitoring agent behavior, usage, and performance to ensure continuous improvement and reliability.
- Guidance on troubleshooting common issues and enhancing system reliability to support operational readiness.
- Next steps for extending the solution after the course to foster ongoing innovation and optimization in government operations.
Requirements
- Fundamental knowledge of cloud computing principles and essential Azure services
- Practical experience with web applications, APIs, or utilizing the Microsoft Azure portal
- Basic proficiency in programming using any modern language
Audience
- Developers interested in constructing AI-driven applications on Azure for government and other sectors
- Solution architects investigating agent-based solutions for various business scenarios
- Technical professionals looking for a hands-on introduction to Azure AI agent development
7 Hours
