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Applied & Responsible AI

Build a small end-to-end workflow with pre-trained models — and use AI responsibly.

⏱ 16.0 hours📚 intermediate level

What you'll learn

  • Build a small end-to-end ML workflow in the browser
  • Apply a pre-trained model to text or images
  • Identify bias, privacy and responsible-AI considerations

Course syllabus16 lessons

AI — Advanced Practice

0/5 lessons
  1. 1📖Deep Learning in Practice
  2. 2📖❓NLP Fundamentals🔒
  3. 3📖🔬Computer Vision🔒
  4. 4📖❓Deploying ML Models🔒
  5. 5📖MLOps Overview🔒

Neural Networks Without the PhD

0/2 lessons
  1. 6📖🔬Training a Small Network in the Browser🔒
  2. 7📖❓Convolutional and Recurrent Networks🔒

Working with Text AI

0/3 lessons
  1. 8📖🔬Prompt Engineering Fundamentals🔒
  2. 9📖❓Retrieval Augmented Generation🔒
  3. 10📖❓Fine-Tuning vs Prompting🔒

Building Trustworthy Systems

0/3 lessons
  1. 11📖🔬Algorithmic Auditing🔒
  2. 12📖❓Explainability Techniques🔒
  3. 13📖❓Data Privacy and AI🔒

End-to-End Workflow

0/3 lessons
  1. 14📖❓Scoping an AI Project🔒
  2. 15📖🔬Building a Responsible AI Pipeline🔒
  3. 16📖Presenting AI Work🔒