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ai

AI

Broad AI literacy and responsible use.

Mode
none
Practice
Read / quiz
Lessons
36 units

Before you start

Broad AI literacy: history, terminology, limitations, ethics, and how models fit in products.

Everyone ships “AI features” now—teams need shared vocabulary beyond hype.

Product planning, policy, engineering leadership, and responsible rollout discussions.

Read/quiz track without a code runner—case studies and critical-thinking MCQs.

Any time you consume or build ML-powered features—before Generative AI specialization.

Lesson order

Sequential — follow top to bottom

36 lessons are live in this track. Start from step 01 for the smoothest path.

  1. 01 intro Introduction to AI

    beginner

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  2. 02 what-is-ai What is AI?

    beginner

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  3. 03 ai-vs-ml-preview AI vs machine learning preview

    beginner

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  4. 04 ai-history-preview AI history preview

    beginner

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  5. 05 ai-workflow AI project workflow

    beginner

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  6. 06 types-of-ai Types of AI systems

    beginner

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  7. 07 machine-learning-basics Machine learning basics

    beginner

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  8. 08 neural-networks-preview Neural networks preview

    beginner

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  9. 09 deep-learning-preview Deep learning preview

    beginner

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  10. 10 supervised-unsupervised-preview Supervised and unsupervised learning preview

    beginner

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  11. 11 reinforcement-preview Reinforcement learning preview

    beginner

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  12. 12 data-for-ai Data for AI

    beginner

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  13. 13 features-and-labels Features and labels

    beginner

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  14. 14 train-validation-test-ai Train, validation, and test splits

    beginner

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  15. 15 bias-in-data Bias in data

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  16. 16 evaluation-metrics-ai Evaluation metrics for AI

    beginner

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  17. 17 model-lifecycle Model lifecycle

    beginner

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  18. 18 ai-ethics-intro Introduction to AI ethics

    beginner

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  19. 19 fairness-accountability Fairness and accountability

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  20. 20 transparency-explainability Transparency and explainability

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  21. 21 privacy-ai Privacy and AI

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  22. 22 human-in-the-loop Human in the loop

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  23. 23 regulation-preview AI regulation preview

    beginner

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  24. 24 ai-in-products AI in products

    beginner

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  25. 25 recommendation-systems-preview Recommendation systems preview

    beginner

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  26. 26 computer-vision-preview Computer vision preview

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  27. 27 nlp-preview Natural language processing preview

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  28. 28 mlops-preview MLOps preview

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  29. 29 build-vs-buy-ai Build vs buy AI

    beginner

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  30. 30 ai-with-python-preview AI with Python preview

    beginner

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  31. 31 ai-with-data-science AI and data science together

    beginner

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  32. 32 ai-vs-dsa-preview AI vs data structures and algorithms

    beginner

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  33. 33 cloud-ai-services-preview Cloud AI services preview

    beginner

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  34. 34 interview-essentials-ai AI interview essentials

    intermediate

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  35. 35 production-checklist-ai AI production checklist

    beginner

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  36. 36 gen-ai-bridge-lesson Bridge to generative AI

    beginner

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