Module 2 covers Big Data and Data Science. Big Data describes the massive amounts of data that are being generated and collected every day. This data can be structured, semi-structured, or unstructured, and it can come from a variety of sources, such as social media, sensors, and financial transactions.

Module 1 of the Level 1B training covers Data structures and Python programming which are important for Fintech professionals because they are essential for:

• Working with large datasets - the financial industry generates a lot of data, and Fintech professionals need to be able to store, manipulate, and analyse this data efficiently. Data structures provide a way to store data in a way that is efficient and easy to access. Python is a powerful programming language that is well-suited for working with data structures

In Module 5, participants will explore the pillars of a successful implementation of Edtech and artificial intelligence (AI) in education institutions: developing an Edtech and AI strategy, assessing the infrastructure required, understanding the impact on people and roles, and managing risks. Participants will learn about the opportunities and challenges when developing an implementation plan for the institution.

Module 4 teaches compliance and risk management. Risk management is part of any business. Fintech companies operate in more dynamic conditions that create unique risks. For the fintech industry, compliance is essential to bringing these risks under control. An effective compliance control does more than help the company follow regulations. This module is designed to address industry-wide challenges by providing professional training in Fintech Risk and Compliance.

Module 3 comprises three sections: Cloud computing, cybersecurity, and quantum computing. In the first section, the module provides a comprehensive overview of cloud computing by introducing the essential characteristics of cloud computing, the technology components in a cloud architecture, and different cloud computing models and service models. It will also introduce how cloud computing can be used in Fintech, the risks and challenges, as well as the cloud computing strategies in China and the US. The second section covers essential concepts in cybersecurity.

Module 2 provides a comprehensive overview of the key concepts and technologies of blockchain and it will be valuable for anyone who wants to design or use blockchain-based applications. The module starts with an introduction to cryptography and an overview of existing consensus algorithms. It will provide a detailed discussion on the Bitcoin script and an introduction to the Ethereum blockchain. The true potential of the fourth industrial revolution can only be achieved when innovation and technology become a key element of the existing financial system.

Module 1 of the Level 2 training will present some advanced techniques, algorithms, and models to lift the magic veil of AI, ML, and DL. There are 3 sections to this module: The first section on “Machine Learning” presents various advanced supervised and unsupervised machine learning models and the underlying mechanism and rationale in model selection. This will equip participants with the essential knowledge to develop, evaluate, and interpret a machine learning model.

Module 4 provides a comprehensive introduction to the field of network architecture. It covers topics from the hardware and software that make up a network to the theoretical basis of data transmission. It also includes an introduction to the design principles of network layers and protocols that govern how data is exchanged. The last part of this module discusses network and website security threats, challenges, and solutions.

Module 3 provides an overview of artificial intelligence (AI), machine learning (ML), and deep learning (DL). It begins by defining AI and discussing its brief evolution. It then explains the relationship between AI, ML, and DL, and why AI has seen significant effectiveness and progress over the last decade.

Module 5 reviews the history of Fintech, discusses the different types of Fintech, examines the regulation of Fintech and the impact of Fintech on different markets. In particular, this module identifies the key drivers of change in the Fintech landscape, and the challenges that Fintech companies will face in the years to come.