Undergraduate Certificate in Data Science for Generative AI

Overview

Learning outcomes

Course content

• 1
  Introduction to Data Science

• 2
  Foundations of Generative AI

• 3
  Machine Learning Techniques

• 4
  Data Visualization and Communication

• 5
  Ethics in AI and Data Science

• 6
  Introduction to Data Science

• 7
  Fundamentals of Generative AI

• 8
  Data Visualization Techniques

• 9
  Machine Learning for Generative Models

• 10
  Statistical Methods for Data Analysis

• 11
  Natural Language Processing

• 12
  Ethics in AI and Data Science

• 13
  Deep Learning Foundations

• 14
  Data Mining and Pattern Recognition

• 15
  Capstone Project in Generative AI

• 16
  data preprocessing

• 17
  machine learning fundamentals

• 18
  deep learning concepts

• 19
  generative adversarial networks

• 20
  natural language processing

• 21
  computer vision techniques

• 22
  reinforcement learning algorithms

• 23
  time series analysis

• 24
  unsupervised learning methods

• 25
  ethical considerations in AI

• 26
  Introduction to Data Science

• 27
  Foundations of Generative AI

• 28
  Machine Learning Fundamentals

• 29
  Deep Learning Techniques

• 30
  Natural Language Processing

• 31
  Computer Vision

• 32
  Reinforcement Learning

• 33
  Ethical Considerations in AI

• 34
  Advanced Topics in Data Science

• 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