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5 credits · Self-paced

Google: Machine Learning Crash Course

Google's open ML fast-track course

Google's free Machine Learning Crash Course (CC BY 4.0) covering ML concepts, TensorFlow, and real-world case studies. https://developers.google.com/machine-learning/crash-course

Available in your language:

Curriculum

  1. 01Module 1 — Fundamentals30 min+
    Fundamentals

    Global-standard learning module for Google: Machine Learning Crash Course.

    Outcomes

    • Explain the core principles and terminology
    • Apply methods to realistic business scenarios
    • Identify risks, controls, ethics, and quality standards
    • Produce evidence suitable for a professional portfolio.
  2. 02Module 2 — Principles & standards30 min+
    Principles & standards

    Global-standard learning module for Google: Machine Learning Crash Course.

    Outcomes

    • Explain the core principles and terminology
    • Apply methods to realistic business scenarios
    • Identify risks, controls, ethics, and quality standards
    • Produce evidence suitable for a professional portfolio.
  3. 03Module 3 — Applied practice30 min+
    Applied practice

    Global-standard learning module for Google: Machine Learning Crash Course.

    Outcomes

    • Explain the core principles and terminology
    • Apply methods to realistic business scenarios
    • Identify risks, controls, ethics, and quality standards
    • Produce evidence suitable for a professional portfolio.
  4. 04Module 4 — Risk & compliance30 min+
    Risk & compliance

    Global-standard learning module for Google: Machine Learning Crash Course.

    Outcomes

    • Explain the core principles and terminology
    • Apply methods to realistic business scenarios
    • Identify risks, controls, ethics, and quality standards
    • Produce evidence suitable for a professional portfolio.
  5. 05Module 5 — Ethics & quality30 min+
    Ethics & quality

    Global-standard learning module for Google: Machine Learning Crash Course.

    Outcomes

    • Explain the core principles and terminology
    • Apply methods to realistic business scenarios
    • Identify risks, controls, ethics, and quality standards
    • Produce evidence suitable for a professional portfolio.
  6. 06Module 6 — Case studies30 min+
    Case studies

    Global-standard learning module for Google: Machine Learning Crash Course.

    Outcomes

    • Explain the core principles and terminology
    • Apply methods to realistic business scenarios
    • Identify risks, controls, ethics, and quality standards
    • Produce evidence suitable for a professional portfolio.
  7. 07Module 7 — Advanced practice30 min+
    Advanced practice

    Global-standard learning module for Google: Machine Learning Crash Course.

    Outcomes

    • Explain the core principles and terminology
    • Apply methods to realistic business scenarios
    • Identify risks, controls, ethics, and quality standards
    • Produce evidence suitable for a professional portfolio.
  8. 08Module 8 — Capstone project30 min+
    Capstone project

    Global-standard learning module for Google: Machine Learning Crash Course.

    Outcomes

    • Explain the core principles and terminology
    • Apply methods to realistic business scenarios
    • Identify risks, controls, ethics, and quality standards
    • Produce evidence suitable for a professional portfolio.