Chat with Your Data in a Day — Lesson 1: Foundations, Architecture, and Use Cases

Topics Covered

• Responsible AI principles and solution requirements
• Azure AI services, models, agents, and orchestration
• Prompting, grounding, retrieval, and evaluation
• Data preparation, integration, and application workflow
• Roles, prerequisites, terminology, and success criteria
• Business and technical requirement mapping
• Solution boundaries, dependencies, and assumptions

Practical Activity

Analyze a representative use case, document requirements, and create a solution or platform map.

• Document assumptions, selected features or services, and expected outcomes.
• Record validation evidence, risks, dependencies, and corrective actions.
• Summarize the decision in a reusable implementation or operations note.

Lesson Outcome

Learners can explain and apply the lesson topics within a realistic Microsoft AI scenario.