Postgraduate Certificate in Generative AI: Theory and Practice

Overview

Learning outcomes

Course content

• 1
  Foundations of Generative AI

• 2
  Advanced Machine Learning Techniques

• 3
  Ethics and Social Implications of AI

• 4
  Creative Applications of Generative AI

• 5
  Practical Implementation and Project Development

• 6
  Foundations of Generative AI

• 7
  Deep Learning Techniques

• 8
  Natural Language Processing for Generative Models

• 9
  Creative Applications of AI

• 10
  Ethics in AI and Machine Learning

• 11
  Data Management and Preprocessing

• 12
  Model Evaluation and Deployment

• 13
  Generative Adversarial Networks

• 14
  AI in Art and Design

• 15
  Practical Projects in Generative AI

• 16
  Deep Learning Fundamentals

• 17
  Advanced Machine Learning

• 18
  Natural Language Processing

• 19
  Reinforcement Learning

• 20
  Computer Vision

• 21
  Generative Adversarial Networks

• 22
  Probabilistic Graphical Models

• 23
  Neural Architecture Search

• 24
  Human-Robot Interaction

• 25
  Ethical and Social Implications

• 26
  Machine Learning Fundamentals

• 27
  Deep Learning Techniques

• 28
  Natural Language Processing

• 29
  Computer Vision

• 30
  Reinforcement Learning

• 31
  Generative Adversarial Networks

• 32
  Probabilistic Graphical Models

• 33
  Ethics in AI

• 34
  Advanced Topics in Generative AI

• 35
  Capstone Project

Duration

The programme is available in two duration modes:
Fast track - 1 month
Standard mode - 2 months

Course fee

The fee for the programme is as follows:
Fast track - 1 month: GBP £140
Standard mode - 2 months: GBP £90