Lesson 4: Applied Scenario, Validation, and Best Practices

Topics Covered

• Business adoption and solution-selection considerations
• Responsible AI, limitations, risk, and next steps
• Performance, reliability, scalability, and cost considerations
• Final solution review, evidence, prioritization, and improvement roadmap

Practical Activity

Evaluate a complete solution against the stated requirements and prepare a prioritized validation and improvement plan.

• Document assumptions, selected services or techniques, and the expected result.
• Record validation evidence, identified risks, and any required corrective action.
• Summarize the decision in a reusable implementation or architecture note.

Lesson Outcome

Learners can explain and apply the lesson topics within a realistic AWS Discovery Days – Machine Learning Basics scenario.