Outcomes
1. Understanding the Fintech Landscape
Learners will:
Gain insight into the fintech industry, its key players, and major technological trends.
Understand how AI, Machine Learning, and Generative AI are shaping the future of financial services.
Recognize the role of data, automation, and digital platforms in modern financial ecosystems.
2. Mastering AI, Machine Learning, and Generative AI Fundamentals
Learners will:
Understand the core concepts of Artificial Intelligence, Machine Learning, and Generative AI.
Learn how AI and ML models are applied in fintech for prediction, automation, and decision-making.
Explore key learning approaches, including supervised learning, unsupervised learning, reinforcement learning, and deep learning.
Understand the purpose and value of Generative AI and Prompt Engineering in creating intelligent financial systems.
Target Group
The training program is designed for professionals and enthusiasts in the fintech industry who are interested in leveraging artificial intelligence (AI) and machine learning (ML) technologies to enhance their knowledge and skills.
Contents
- Overview of the fintech industry
- AI in Financial Services – Big Picture
- Fundamentals of Artificial Intelligence and Machine Learning
- What is Artificial Intelligence?
- What is Machine Learning?
- Relationship between AI, ML, and Deep Learning
- How machines learn from data
- Supervised learning, Unsupervised learning, Reinforcement learning
- Classification & Decision Models in Fintech
- Deep Learning Concepts (CNNs, RNNs)
- What is Generative AI
- How Generative AI differs from traditional AI
- Role of Generative AI in financial services
- AI Agents
- Prompt Engineering & How prompts guide AI behavior and outputs
- Ethics, Risk, and Regulation in AI-Driven Fintech