Title: Enable Feedback Based on Your Own AI Agent with Your Context and Docs
🎯 Goal:
Learn how to build a Retrieval-Augmented Generation (RAG) system and a custom AI agent that delivers accurate, context-aware feedback based on your organization’s internal knowledge — and deploy it within Azure.
09:30 – 10:30 | The Power of RAG: Smarter AI with Your Own Knowledge
Why LLMs struggle without context
What is Retrieval-Augmented Generation (RAG)?
Examples from support, validation, training & feedback
Demo:
➡️ AI without context vs. AI with your documents
10:30 – 12:00 | Upload, Chunk, and Search Your Docs
How AI processes and “reads” documents
Overview of chunking & embeddings
Azure Cognitive Search or FAISS (light technical)
Hands-on (guided):
➡️ Upload docs
➡️ Preview how AI chunks & stores knowledge
➡️ Test basic search
12:00 – 13:00 | Lunch
13:00 – 14:30 | Create Your First Context-Aware Chat
Injecting document context into answers
Basic prompt tuning
Confidence levels & fallback handling
Hands-on (no code tools or notebooks):
➡️ Query your own data
➡️ Improve the response with better prompt structure
14:30 – 16:00 | AI Agents: From Chatbot to Action
What is an agent? (role, memory, tools, logic)
How agents act vs react
Design your own assistant: “What should it do?”
Workshop:
➡️ Define your AI agent’s personality, goal and scope
➡️ Optional: try low-code agent builders or pre-built flows
16:00 – 17:00 | Wrap-up Day 1
Summary of key learnings
Live Q&A and roadmap for Day 2
🗓️ Day 2: Extend, Automate and Integrate
09:00 – 10:30 | Agent + Tools = Smart Feedback
Let your agent fetch, update or act on data
Common use cases: HR, feedback, internal QA
Overview of LangChain/Semantic Kernel (no code required)
Hands-on / guided demo:
➡️ Add a feedback tool to your agent
➡️ Simulate a smart internal assistant
10:30 – 12:00 | Azure Integration for Business Workflows
Connect agents to SharePoint, Teams, or Forms
Triggering agent actions with Logic Apps or Power Automate
Security, audit trail and versioning basics
Workshop:
➡️ Design where the assistant fits into your workflow
➡️ Explore triggers, access roles and logging
12:00 – 13:00 | Lunch
13:00 – 14:30 | Keep Your Assistant Up-to-Date
Auto-update with new documents
Review cycles and approval workflows
Notifications, summaries, and reporting options
Hands-on / guided:
➡️ Simulate a document update
➡️ View AI response improvement over time
14:30 – 16:00 | Group Demos & Feedback
Share what you built (or designed)
Peer feedback and improvement ideas
Identify real-world next steps
16:00 – 17:00 | Wrap-up & Next Steps
Final reflections and Q&A
Validate’s AI readiness checklist
Suggested roles: what business, tech, and AI teams each do next