Workshop Agenda: Designing an End-to-End Azure AI Solution

Welcome to the IFS End-to-End Azure AI Solution Workshop. This two-day workshop guides you through the complete process of designing a secure, scalable, and well-governed AI solution for Innovate Financial Services (IFS). The agenda is structured to mirror a real-world AI adoption journey, from foundational design to enterprise-scale AI governance.

Workshop Objectives

  • Understand IFS’s business drivers and AI adoption vision
  • Design secure, scalable Azure foundations using Landing Zone principles
  • Architect a Retrieval-Augmented Generation (RAG) chatbot workload
  • Develop a centralized AI Hub for enterprise-wide AI governance
  • Present and justify architectural decisions using Azure best practices

Day 1

Time Session Description
9:00 - 9:30 Welcome and Introduction Overview of workshop objectives, format, and expected outcomes
9:30 - 10:15 Customer Story: Innovate Financial Services Introduction to IFS, their business drivers, challenges, and AI adoption vision
10:15 - 10:30 Break  
10:30 - 12:00 AI Ready Challenge - Part 1 * Understand the Customer
* Define Requirements
12:00 - 13:00 Lunch  
13:00 - 15:00 AI Ready Challenge - Part 2 * Design the Foundations
* Design Application Landing Zones
15:00 - 15:15 Break  
15:15 - 16:30 AI Ready Challenge - Presentations * Group presentations of Landing Zone architecture designs
* Feedback and discussion
16:30 - 17:00 Day 1 Wrap-up * Summary of key learnings
* Preview of Day 2

Day 2

Time Session Description
9:00 - 9:15 Day 2 Introduction Recap of Day 1 and overview of Day 2 activities
9:15 - 10:30 Agentic AI challenge - Part 1 * Define the Workload Scenario
* Elicit Requirements
10:30 - 10:45 Break  
10:45 - 12:30 Agentic AI challenge - Part 2 * Design Application Architecture
* Plan for Integration with Landing Zone
12:30 - 13:30 Lunch  
13:30 - 14:15 Agentic AI challenge - Presentations * Group presentations of chatbot architecture
* Discussion of implementation considerations
14:15 - 15:45 AI Hub Challenge * Define Requirements for Scaling to Enterprise AI
* Design Centralized AI Hub Architecture
15:45 - 16:00 Break  
16:00 - 16:30 AI Hub Challenge - Presentations * Group presentations of AI Hub architecture
* Discussion of enterprise scalability
16:30 - 17:00 Workshop Conclusion * Summary of end-to-end design
* Best practices review
* Next steps and resources

Workshop Progression

This workshop follows a natural progression that mirrors how organizations typically evolve their AI strategy:

  1. Understanding the Business Case and Foundation (Day 1)
    • Analysis of business drivers, challenges, and AI use cases
    • Design of secure, scalable Azure foundation using Landing Zone principles
    • Establishment of governance, security, and operational controls
  2. Implementing a Specific AI Workload (Day 2 Morning)
    • Design of a RAG chatbot to address a specific business need
    • Selection of appropriate Azure services and architectural patterns
    • Integration with the landing zone environment
  3. Scaling to Enterprise-wide AI (Day 2 Afternoon)
    • Leveraging lessons from initial implementation to design a centralized AI Hub
    • Addressing governance, security, and scaling concerns for multiple workloads
    • Establishing patterns for enterprise-wide AI adoption

This structured approach ensures participants gain practical experience with the complete lifecycle of AI solution architecture, from foundation to specific workload to enterprise scaling.

Pre-Workshop Preparation

Participants should review: