Undergraduate Certificate in Practical Applications of Generative AI.

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Overview

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Learning outcomes

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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

Career Path

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Key facts

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Why this course

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Frequently asked questions

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The Undergraduate Certificate in Practical Applications of Generative AI equips students with skills to effectively utilize AI technologies in various fields.

Showcase your achievement with a professional certificate upon successful course completion.