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
Artificial Intelligence
Data Science
Cybersecurity
L'Italiano nel mondo
Introduction to HTML5
Umano Digitale
Organize and share your learning with Class Central Lists.
View our Lists Showcase
Use generative AI to write code faster: generate array manipulations, implement functions and classes, refactor procedural code into object-oriented, and fix syntax errors.
Build data science skills end to end: structured problem solving, SQL analysis, Power BI, Python, machine learning algorithms, decision biases, and data storytelling.
Explore how generative AI works and where it shows up in virtual assistants, chatbots, and recommendations, then build your own chatbot with GPT responsibly.
Apply generative AI within a consulting framework: learn Gen AI essentials, use Gen AI tools on client problems, and practice responsible, ethical AI.
Apply generative AI to user-centric design: run design thinking and user research, create prototypes, conduct user testing, and deploy AI tools responsibly.
Use generative AI in daily coding: refine prompts for code generation, review and debug Python with natural language, and apply responsible AI practices.
Evaluate and integrate generative AI into business operations: set KPIs, weigh data privacy and ethics, and apply structured thinking and human-centric design to problems.
Learn how generative AI creates new content, engage with it through prompts, explore everyday applications, and weigh its ethical and societal impacts — no programming needed.
Explore the foundational principles of Responsible AI and discuss the challenges Generative AI poses, and why GenAI tools must be developed responsibly.
Turn data into narratives: judge data relevance and credibility, apply visualization design principles like color and cognitive load, and structure stories with plot, conflict, and resolution.
Learn to wrangle, explore, and visualize data in Python: clean messy datasets with pandas, apply descriptive and inferential statistics, chart with matplotlib and seaborn, and engineer features.
Apply structured thinking to business and everyday problems: use problem-solving frameworks, avoid common traps, map the stages of a data science project, and design human-centered solutions.
Learn quantum computing basics: qubits, Bra-Ket notation, the Bloch Sphere, superposition, entanglement and quantum gates, then build circuits and algorithms in IBM Qiskit.
Examine traditional theories of human behavior and their flaws, decode how emotions, context, and heuristics shape decisions, and apply strategies to influence behavior.
Apply generative AI across the consulting lifecycle: prompt engineering for market scans, issue trees, MECE storylines, slide drafting, plus quality assurance and Responsible AI guardrails.
Get personalized course recommendations, track subjects and courses with reminders, and more.