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B01 - Datascience Bootcamp - Personal training (2026 edition)

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  1. Welcome to your Bootcamp!

    Let’s start your learning journey - Group version
  2. Fill in the intake form
  3. Meet your instructor(s) and learning manager
  4. Request your unique Amsterdam Data Academy sweater
  5. Fundamentals of Data & AI
    Course Roadmap: Fundamentals of Data & AI
  6. Module 1: Fundamentals of Data & AI
    1 Topic
    |
    2 Quizzes
  7. Fundamentals of Data & AI – Module 1: Plan your personal live session
  8. Module 2: Fundamentals of Data & AI
    1 Topic
  9. Fundamentals of Data & AI – Module 2: Plan your personal live session
  10. Module 3: Fundamentals of Data & AI
    2 Topics
  11. Fundamentals of Data & AI – Module 3: Plan your personal live session
  12. Closure: Fundamentals of Data & AI
    1 Topic
  13. Programming with Python
    Programming with Python - Course outline
  14. Module 1: Programming with Python
    1 Topic
    |
    1 Quiz
  15. Programming with Python – Module 1: Plan your personal live session
  16. Module 2: Programming with Python
    1 Topic
    |
    1 Quiz
  17. Programming with Python – Module 2: Plan your personal live session
  18. Module 3: Programming with Python
    2 Topics
    |
    1 Quiz
  19. Programming with Python – Module 3: Plan your assignment feedback session
  20. Closure: Programming with Python
    1 Topic
  21. Machine Learning with Python
    Course Roadmap: Machine Learning with Python
  22. Module 1: Machine Learning with Python
    1 Topic
    |
    1 Quiz
  23. Machine Learning with Python – Module 1: Plan your personal live session
  24. Module 2: Machine Learning with Python
    1 Topic
    |
    1 Quiz
  25. Machine Learning with Python – Module 2: Plan your personal live session
  26. Module 3: Machine Learning with Python
    2 Topics
  27. Machine Learning with Python – Module 3: Plan your assignment feedback session
  28. Closure: Machine Learning with Python
    1 Topic
  29. Deep Learning with Python
    Course Preview: Deep Learning with Python
  30. Module 1: Deep Learning with Python
    1 Topic
  31. Deep Learning with Python – Module 1: Plan your personal live session
  32. Module 2: Deep Learning with Python
    1 Topic
  33. Deep Learning with Python – Module 2: Plan your personal live session
  34. Module 3: Deep Learning with Python
    2 Topics
  35. Deep Learning with Python – Module 3: Plan your assignment feedback session
  36. Closure: Deep Learning with Pyton
  37. AI Literacy
    Course Roadmap: AI Literacy & Ethics course
  38. Module 1: AI Literacy & Ethics
    1 Topic
  39. AI Literacy – Module 1: Plan your personal live session
  40. Module 2: AI Literacy & Ethics
    1 Topic
  41. AI Literacy – Module 2: Plan your personal live session
  42. Module 3: AI Literacy & Ethics
    2 Topics
  43. AI Literacy – Module 3: Plan your assignment feedback session
  44. Closure: AI Literacy
    1 Topic
  45. Final Assignment
    1. Final Assignment - Introduction
  46. 2. Final Assignment - Case
  47. 3. Final Assignment Description - Datascience Bootcamp
    2 Topics
  48. 4. Final Assignment Upload - Datascience Bootcamp
  49. 5. Final Assignment - Presentation
  50. Next Steps
    Fill out the course evaluation survey
  51. Claim your completion certificate
  52. Join quarterly graduation ceremony
  53. (Optional) Internship
Welcome to the AI Literacy & Ethics Course!

As artificial intelligence becomes increasingly integrated into our daily lives and decision-making systems, understanding its broader impact is essential. This course is designed to help you navigate the complex landscape of AI, not just from a technical standpoint, but also through the lens of ethics, legal responsibility, and governance.

Over the next two modules, you will explore the foundations of AI, its real-world uses, and the potential consequences—both positive and negative—of deploying these technologies. By examining real case studies like the Toeslagenaffaire, you’ll gain insight into how AI can both support and harm society, and why responsible development and implementation are crucial.

Let’s dive in and build the knowledge needed to understand, evaluate, and contribute to the ethical use of AI in today’s world.

Click the button to view the course structure

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