AI & Analytics with Microsoft

Course Description

This SkillDynamo course develops practical, role-relevant capability in using Microsoft data, analytics, machine-learning, generative-AI, and responsible-AI services to build decision-support solutions. The learning path progresses from essential concepts and planning to implementation, validation, troubleshooting, and operational use.

Learners work through realistic scenarios, guided demonstrations, applied exercises, and evidence-based reviews. Every topic is connected to workplace responsibilities, common risks, quality controls, and measurable outcomes.

The course helps professionals make informed decisions, identify failure points, communicate results, and create an actionable improvement plan for future projects.

What You Will Learn

• Map business questions, data sources, quality, integration, storage, governance, and analytical requirements
• Compare Power BI, Fabric, Azure data services, semantic models, and real-time analytics options
• Prepare data, select features and algorithms, train models, evaluate metrics, and avoid common leakage
• Use Azure machine-learning capabilities, experiments, model registration, deployment, and monitoring
• Design prompt, retrieval, grounding, orchestration, tool, content, and human-review workflows
• Apply Azure AI services and copilots while protecting data, identity, safety, and reliability
• Assess fairness, privacy, transparency, security, safety, accessibility, compliance, and accountability
• Plan testing, monitoring, adoption, governance, cost, support, outcome measurement, and improvement

SkillDynamo Training Approach

SkillDynamo delivers this course through demonstrations, hands-on exercises, scenario analysis, validation checklists, structured troubleshooting, solution reviews, and a final improvement plan. Learners repeatedly practice planning, implementation, evidence collection, testing, correction, and communication so the skills transfer confidently into real workplace situations.