1. CFTE's Generative AI 360
Features
Target Audience
Everyone from executives and senior leaders to professionals in managerial positions
Format
Self-paced, fully online
Level
Foundational
Time to Complete
6 weeks, about 2 hours per week
Add-Ons
Live Sessions
Instructors
1. Huy Nguyen Trieu, Co-Founder at CFTE
2. Prag Sharma, Global Head of Artificial Intelligence at Citi
3. Yasmina Benkhoui, Strategic Partnerships at NVIDIA
4. Mehdi Ghissassi, Director & Head of Product at Google DeepMind
5. Jérémie Cornet Vuckovic, Strategy and AI at Artefact
6. Gilles Moyse, Co-founder and CEO at ReciTAL
7. Nikola Lazarov & Petar Petrov, Co-founders at Eilla AI
Topics
1. Generative AI Fundamentals
2. The Landscape of Generative AI
3. Technologies of Generative AI
4. Current Applications in Finance
5. Future Applications in Finance
6. Data, Risks and Regulation
Use Cases
Creating customer personas, data analysis, analysing and extracting information, creating customised AI chatbot, research creating your own deepfake, financial perfomance analysis, and content creation
Accreditation
CPD and IBF Accredited
Pricing
GBP 450 for the course only, and GBP 600 to add on the live sessions
2. NUS's Generative AI in Finance
Features
Target Audience
Everyone from executives and senior leaders to individuals interested in applying Generative AI techniques and technologies in the finance industry.
Format
Self-paced, fully online
Level
Foundational
Time to Complete
Add-Ons
N/A
Instructors
1. Dr. Ke-Wei Huang, Associate Professor at NUS
2. Dr. Yen Teik Lee, Senior Lecturer at NUS Business School
3. Prof. David Lee, Professor of Fintech and Blockchain at the Singapore University of Social Sciences
4. Dr. Li Xuchun, Head of the AI Development Office at MAS
5. Dr. Andreas Deppeler, Expert in Ethics, Risk Management, and Governance of AI
Topics
1. Introduction to AI and Machine Learning
2. Key Developments in the Finance Industry and AI
3. AI in Finance: Use Cases and Examples
4. Governance of AI
5. Introduction to Generative AI and Its Related Models
6. Benefits & Challenges of Generative AI in Finance
Use Cases
Examples of AI and Generative AI in Finance, use cases in the banking industry, and within Large Language Models
Accreditation
N/A
Pricing
SGD 1500
3. IBM's Generative AI Fundamentals Specialisation
This course offers a comprehensive exploration of generative AI foundation models, starting with an introduction to fundamental concepts, capabilities, and applications. Participants will learn how to harness the power of prompt engineering to craft effective prompts and achieve specific outcomes from AI models. The curriculum also addresses the limitations and ethical considerations associated with generative AI, ensuring a responsible approach to its use. By the end of the course, attendees will not only gain a deep understanding of AI tools and platforms but also be equipped to leverage generative AI to advance their careers and drive meaningful improvements within their organisations.
Features
Target Audience
Anyone with an interest in AI
Format
Self-paced, fully online
Level
Beginner
Time to Complete
Add-Ons
N/A
Instructors
1. Rav Ahuja, IBM
2. Antonio Cangiano, IBM
Topics
1. Generative AI: Introduction and Applications
2. Generative AI: Prompt Engineering Basics
3. Generative AI: Foundation Models and Platforms
4. Generative AI: Impact, Considerations, and Ethical Issues
5. Generative AI: Business Transformation and Career Growth
Use Cases
Text generation using ChatGPT and Bard, Image generation using GPT and Stable Diffusion,
Accreditation
IBM Accredited
Pricing
GBP 38 per month
4. VU's Generative AI Automation Specialisation
This programme is designed to equip learners with the skills to adeptly use ChatGPT and other large language models for complex tasks. Participants will uncover the vast potential of AI in both their professional and personal lives, mastering applications that exceed the capabilities of their smartphones, from tutoring in mathematics to crafting sophisticated software. The course emphasises developing the ability to create effective prompts which is a crucial skill for leveraging the advanced intelligence and reasoning of generative AI tools, and a foundational element of becoming an expert user.
As well as this, the course also has an applied learning project. This includes hands-on exercises and comprehensive analysis, learners will understand how AI models perceive, comprehend, and respond, thereby enhancing their daily productivity. This programme offers a chance to explore creative uses for AI, automate intricate tasks, and transform workflows through the power of prompt engineering.
Features
Target Audience
Anyone with an interest in AI
Format
Self-paced, fully online
Level
Beginner
Time to Complete
Add-Ons
N/A
Instructors
Dr. Jules White, Director of Vanderbilt’s Initiative on the Future of Learning & Generative AI
Topics
1. Prompt Engineering for ChatGPT
2. ChatGPT Advanced Data Analysis
3. Trustworthy Generative AI
4. GPT Vision: Seeing the World through Generative AI
Use Cases
Problem Formulation for Generative AI, Prompt Engineering, Generative AI, ChatGPT, Chain of thought prompting
Accreditation
N/A
Pricing
GBP 38 per month
5. Amazon's Fundamentals of Generative AI for Beginners
This Generative AI course is designed to introduce participants to the transformative world of generative AI and its far-reaching impact. This course provides a foundational understanding of generative AI. Through clear explanations and straightforward examples, participants will learn what generative AI is, how it functions, and explore the fundamental components such as large language models, neural networks, training datasets, and prompts.
The course offers an accessible introduction to key tools and processes used in building generative AI applications. Tailored for students, early career professionals, and those new to machine learning, it is “code free” and focuses on building a solid base of knowledge that can support further learning in generative AI and machine learning.
Features
Target Audience
Students, early career professionals, and non-Machine Learning practitioners eager to learn more about Generative AI
Format
Self-paced, fully online
Level
Beginner
Time to Complete
Add-Ons
N/A
Instructors
Curtis Evans, Developer Advocate at Amazon Web Services
Topics
1. Fundamentals of Generative AI
2. The history of Generative AI
3. The growth of Generative AI
4. Model training, evaluation & performance
Use Cases
Data Analysis, Machine Learning, Data Processing
Accreditation
N/A
Pricing
GBP 38
