Undergraduate Certificate in Practical Applications of Generative AI.

Overview

Learning outcomes

Course content

• 1
  Introduction to Generative AI Techniques

• 2
  Ethics and Societal Impact of AI

• 3
  Hands-On Projects in AI Development

• 4
  Data Management and AI Training

• 5
  Creative Applications of Generative AI

• 6
  Introduction to Generative AI

• 7
  Fundamentals of Machine Learning

• 8
  Natural Language Processing Techniques

• 9
  Computer Vision and Generative Models

• 10
  Creative Applications of AI

• 11
  Ethics and Responsible AI Use

• 12
  Data Preparation and Model Training

• 13
  Hands-on Projects in Generative AI

• 14
  AI Tools and Frameworks

• 15
  Evaluating and Fine-tuning Generative Models

• 16
  Introduction to Generative AI

• 17
  Data Preprocessing for Generative AI

• 18
  Generative Adversarial Networks (GANs)

• 19
  Variational Autoencoders (VAEs)

• 20
  Recurrent Neural Networks (RNNs) for Text Generation

• 21
  Convolutional Neural Networks (CNNs) for Image Generation

• 22
  Transfer Learning for Generative AI

• 23
  Ethical Considerations in Generative AI

• 24
  Deploying Generative AI Models

• 25
  Advanced Topics in Generative AI

• 26
  Introduction to Generative AI

• 27
  Deep Learning Foundations

• 28
  Natural Language Processing

• 29
  Computer Vision

• 30
  Reinforcement Learning

• 31
  Ethical Considerations in AI

• 32
  Advanced Generative Models

• 33
  AI Implementation Strategies

• 34
  Real-world Applications of 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