Professional Certificate in Generative AI Applications

Overview

Learning outcomes

Course content

• 1
  Introduction to Generative AI

• 2
  Techniques and Tools for Generative AI

• 3
  Ethics and Governance in AI Applications

• 4
  Applications of Generative AI in Industry

• 5
  Project Development in Generative AI

• 6
  Introduction to Generative AI

• 7
  Fundamentals of Machine Learning

• 8
  Natural Language Processing Techniques

• 9
  Computer Vision and Image Generation

• 10
  Ethics and Responsible AI

• 11
  Generative Adversarial Networks (GANs)

• 12
  Creative Applications of AI

• 13
  AI in Business and Industry

• 14
  Hands-on Project in Generative AI

• 15
  Future Trends in Generative Technologies

• 16
  deep learning fundamentals

• 17
  convolutional neural networks

• 18
  recurrent neural networks

• 19
  generative adversarial networks

• 20
  autoencoders

• 21
  unsupervised learning techniques

• 22
  natural language processing

• 23
  computer vision applications

• 24
  time series forecasting using deep learning

• 25
  reinforcement learning techniques

• 26
  Introduction to Generative AI

• 27
  Building Neural Networks

• 28
  Training Generative Models

• 29
  Evaluating Model Performance

• 30
  Optimizing Model Training

• 31
  Applying Generative AI in Industry

• 32
  Ethical Considerations in AI

• 33
  Advanced Generative Models

• 34
  Deploying Generative AI Systems

• 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