Microsoft AI Bootcamp for Freshers — Lesson 1: AI and Machine Learning Foundations

Topics Covered

• AI concepts and terminology
• supervised and unsupervised learning
• data preparation
• model evaluation basics

Practical Activity

• Document the scenario, assumptions, stakeholders, and expected business or technical outcome.
• Complete a guided configuration, analysis, or design exercise aligned to the lesson topics.
• Record validation evidence, risks, dependencies, and corrective actions.
• Summarize the result in a reusable implementation or operating note.

Validation Checklist

• Requirements and assumptions are clearly documented.
• The selected Microsoft features or services match the scenario.
• Security, governance, and operational impacts are considered.
• The final result includes evidence and actionable next steps.

Lesson Outcome

Learners can explain and apply ai and machine learning foundations within a realistic Microsoft AI foundations for entry-level learners scenario.