Courses from 1000+ universities
AI got cheap enough that Duolingo’s most expensive plan may not survive it. I read the earnings call transcript and opened the app to see what is actually changing for learners.
600 Free Google Certifications
Computer Science
Artificial Intelligence
Data Science
Intelligenza Artificiale
The Bible's Prehistory, Purpose, and Political Future
Education for All: Disability, Diversity and Inclusion
Organize and share your learning with Class Central Lists.
View our Lists Showcase
Microsoft Corporation is an American multinational corporation headquartered in Redmond, Washington, that develops, manufactures, licenses, supports and sells computer software, consumer electronics and personal computers and services.
Keep production data systems running in Microsoft Fabric: optimize pipeline performance, manage platform capacity, apply role-based access and data classification, and enforce data lifecycle policies.
Orchestrate multi-step data workflows in Microsoft Fabric: schedule pipelines with event triggers, design streaming architectures for telemetry, and monitor run histories to troubleshoot failures.
Prepare analytics-ready datasets in Microsoft Fabric: model fact and dimension tables, query Lakehouse and Warehouse data with SQL, and use AI assistants for transformation logic.
Design risk-based test strategies: author test cases in Jira with Zephyr, generate synthetic data with AI, calculate defect density, and build Excel metric dashboards.
Write complex DAX measures with CALCULATE, iterators, variables and time intelligence, then diagnose and fix Power BI performance bottlenecks using Performance Analyzer, DAX Studio and Copilot.
Learn Azure services for healthcare: deploy compute, storage and AI resources, apply Microsoft's Responsible AI framework, and support patient engagement with portals, chatbots and Teams.
Build healthcare AI on Azure: train medical imaging and patient-risk models, detect dataset bias, evaluate with sensitivity and AUC, and dashboard results in Power BI.
Build Power BI data models: star and snowflake schemas, Import versus DirectQuery, Power Query cleansing and pivoting, table relationships, hierarchies, and workspace collaboration.
Appraise generative AI investments in the Microsoft ecosystem: rank Copilot use cases, model TCO and the Verification Tax, and build vendor scorecards and board-ready business cases.
Architect enterprise AI governance: read risk posture in Microsoft Purview AI Hub, mandate auto-labeling and PIM, redesign an AI Center of Excellence, and track adoption signals.
Build a board-ready Strategic AI Investment Case: assess organizational readiness, sequence AI initiatives by impact and feasibility, model total cost of ownership, and design change communication strategies.
Turn program artifacts into career evidence: write metric-driven resume bullets, optimize a LinkedIn headline and summary, and practice STAR responses for director-level interviews.
Use Microsoft 365 Copilot to draft and audit proposals, emails and reports, run the full meeting lifecycle, build weekly status updates, and create stakeholder visuals with DALL-E 3.
Orchestrate Microsoft 365 Copilot: choose between Web and Work grounding, structure prompts with clarity, context and constraints, and direct Researcher, Analyst and custom Copilot Studio agents.
Make culture visible and measurable: design Barrett-based surveys, build Power BI heat maps and inclusion dashboards, and analyze Teams sentiment with Copilot to brief leadership.
Get personalized course recommendations, track subjects and courses with reminders, and more.