- Duration: 9am to 4pm
- Demo: Azure Portal & VS Code
- Lab: GitHub Codespaces
- Build on the Agentic AI aspects
- Inspire and Motivate
- Real world ideas for Agentic AI
- Focused on End-to-end building AI-powered applications
- Frictionless learning environment, learn via lab, demo and teaching moments
- Azure AI Protections
- GitHub Copilot Agent Model to accelerate development
- For some people without laptops or limited technical skills, allowing them to watch walkthroughs, whilst others do them
- Technical teams
- Senior management like C-levels
- Keep lab simple and able to be done end to end
- For experienced developers, share the accelerator repos and let them explore
Note: some of the labs will be adjusted based on the resources and licences available for the participants to use.
Topics: Basic Concepts and Overview
- Azure AI + Agentic AI overview
- Agentic AI design patterns (Planning, Tool Use, Reflection, Multi-agent)
- Agent architectures: ReAct, Chain-of-Thought
- Memory systems for agents (short-term, long-term, episodic)
- Tool integration patterns and API orchestration
- Intelligent data layers (Azure AI Search, RAG)
- Low/No Code option in Copilot Studio (vs pro-code)
Showcasing a fun AI App
- use a Accelerator Repo
- Daniel's LEGO coding chatbot app demo
Explore AI Foundry services:
- Use Playground and Model Catalog
- Various Azure AI Services
- Customize agent orchestration using no-code / low-code blocks (Functions)
- Connect additional tools and knowledge bases (e.g., a calculator API, web search API)
- Connect Agents
*Demonstrating Advanced AI Solutions
- use a Accelerator Repo
- refer to the repo list in the end
Integrate Azure AI Search or Cosmos DB:
- Ingest doc into Azure AI Search
- Use Document Intelligence Service
- Connect agent to knowledge base
- Demonstrate contextual reasoning
- Build a memory/retrieval plugin with Semantic Kernel
- Advance query, score profile, index, indexer in AI Search
Topic: Building Production-Ready AI Apps with Agentic Concepts
- Technical Deep Dive: Advanced reasoning architectures and hybrid - approaches for complex problem-solving
- Platform-First Strategies: Scaling, API management, DevOps, and platform selection best practices
- Practical Considerations: Memory, cost, performance optimization - and error handling strategies
- Enterprise Readiness: Security, evaluation, testing, and compliance frameworks for production deployment
- Real-World Implementation Patterns: Customer service, document processing, developer tools, and multi-modal applications
Developer experience showcase:
- Prompt-driven coding assistant (e.g., auto-generate unit tests, fix bugs)
- Refactoring, adding comments/images, reformatting examples
- Show how devs stay in control but move faster
Build and extend your first agentic AI app:
- Implement the Prompt → Plan → Act → Reflect loop
- Use Semantic Kernel for memory, planning, and tool integration
- Chain outputs between tools and functions
- Build and integrate MCP for advanced orchestration and extensibility
- Experiment with adding new skills,
Showcase advanced agent collaboration and orchestration:
- Demonstrate multi-agent workflows using Azure AI Foundry Services
- Highlight agent collaboration: perception → planning → action loop
- Explore coordination strategies and communication between agents
- Present a real-world scenario (Daniel's agentic LEGO demo) to illustrate practical applications
Deploy and operationalize your agentic AI app:
- Containerize the agent app for portability and scalability
- Deploy to Azure using ACA, AKS, or App Service with CI/CD
- Expose APIs securely via Azure API Management (auth, rate limits, monitoring)
- Implement logging, monitoring, and alerting for production readiness
- Apply security best practices and cost controls
Topic: Wrap-Up: Responsible AI & Future Considerations
- Responsible AI and Guiderails: Content filtering, prompt injection defense, evaluation, and monitoring
- Observability & Operations: Agent analytics, performance metrics, cost tracking, and debugging
- Advanced Topics & Future Trends: Fine-tuning, multi-modal agents, edge deployment, and emerging frameworks
- Lessons Learned & Best Practices: Common pitfalls, testing strategies, and migration patterns
- Next Steps & Resources: Certification paths, community support, and building your first production agent
- Azure AI Foundry (Model Catalog, Playground) – To explore and test models
- Azure AI Foundry – Agent Service – For orchestrating multi-agent systems
- Azure AI Services – For integrating vision, speech, etc.
- Azure OpenAI – LLMs for chat, planning, coding, summarization
- Azure AI Search – Intelligent data layer for RAG
- APIM – Secure, scalable API layer
- Azure Functions – Serverless compute for tool integration
- Azure Logic Apps – Workflow automation for tool orchestration
- App Service / AKS / ACA – App hosting
- Azure DevOps / GitHub Actions – CI/CD for agent apps
- Azure Monitor / Application Insights – Monitoring and logging
- Azure Key Vault – Secure secrets management
- Azure Storage / Cosmos DB – Data storage for agent state and knowledge
- Semantic Kernel – For agent memory, planning, and tool integration
- Visual Studio Code – IDE for development
- Jupyter Notebooks – For interactive data exploration and model testing
- GitHub Codespaces – Cloud-based dev environment for labs
- GitHub or Azure DevOps – Source control and CI/CD pipelines and project management
- Azure CLI / PowerShell – Command-line tools for Azure management
- Bicep – Infrastructure as Code for Azure resources
- https://github.com/Azure-Samples/AI-Gateway
- https://github.com/microsoft/AI-For-Beginners
- https://github.com/microsoft/ai-agents-for-beginners
- https://github.com/Azure-Samples/get-started-with-ai-chat
- https://github.com/Azure-Samples/get-started-with-ai-agents
- https://github.com/microsoft/Multi-Agent-Custom-Automation-Engine-Solution-Accelerator
- https://github.com/microsoft/content-processing-solution-accelerator
- https://github.com/microsoft/document-generation-solution-accelerator
- https://github.com/microsoft/Build-your-own-copilot-Solution-Accelerator
- https://github.com/microsoft/Modernize-your-code-solution-accelerator
- https://github.com/Azure-Samples/Azure-Language-OpenAI-Conversational-Agent-Accelerator
- https://github.com/microsoft/Conversation-Knowledge-Mining-Solution-Accelerator