Tailored in-house training

Digital Banking, AI, and Fintech

Develop practical understanding of digital banking, AI, fintech, and emerging technologies. Equip professionals to interpret innovation, assess risk, and identify opportunities in a rapidly evolving landscape.

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Available courses

Kaplan's digital banking, AI, and fintech courses build capability across the technologies and trends redefining financial services. Covering areas such as fintech innovation, artificial intelligence, machine learning, blockchain, digital assets, DeFi, and CBDCs, each course combines clear explanation with practical, real-world context.

Fintech, Blockchain, and Cryptocurrency

This course provides a practical overview of the rapidly evolving fintech landscape, with particular focus on blockchain technology and digital assets. Participants explore how technological innovation is reshaping money, payments, and financial services.

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Explain the emergence of cryptocurrencies within the broader fintech ecosystem
Distinguish between cryptocurrencies and fiat currencies
Understand potential adoption scenarios and market implications
Evaluate potential impacts on financial institutions and industries
Recognise key risks associated with digital assets
Identify common forms of cryptocurrency-related financial crime
Understand regulatory and policy considerations
Analyse the perspectives of central banks, regulators, and governments

Applications of Big Data, AI, and Machine Learning in Finance

This course provides a practical introduction to big data, artificial intelligence (AI), and machine learning within a financial services context. Participants explore the core concepts underpinning these technologies and examine how they are applied across analytics, decision-making, and risk management.

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Explain core big data and machine learning concepts
Understand how AI and machine learning are used in financial services
Describe common machine learning methodologies and algorithms
Understand the stages of a machine learning pipeline
Recognise practical challenges in data and model implementation
Identify financial problems suited to big data and machine learning solutions
Understand current trends and developments in financial analytics

DeFi (Decentralised Finance): The Future of Financial Services

This course explores the rise of decentralised finance (DeFi) and its implications for traditional financial services. Participants examine how blockchain-based platforms are enabling new models for borrowing, lending, trading, and investing without centralised intermediaries.

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Explain the principles and structure of decentralised finance
Understand the DeFi ecosystem and key participants
Compare decentralised (DeFi) and centralised (CeFi) finance models
Identify potential opportunities created by DeFi innovation
Recognise financial and operational risks within DeFi markets
Understand known regulatory and compliance challenges
Describe concepts such as yield farming and liquidity provision
Understand the evolution and potential future of DeFi

Central Bank Digital Currencies (CBDCs)

This course explores the emergence of central bank digital currencies (CBDCs) and their potential impact on payments, monetary policy, and financial markets. Participants examine why central banks are developing CBDCs, how different models may operate, and the opportunities and challenges associated with adoption.

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Explain the concept and purpose of a CBDC
Understand different CBDC design models
Evaluate potential implications for retail and wholesale markets
Identify product and service innovations linked to CBDCs
Understand regulatory and policy considerations
Recognise challenges in implementation and adoption
Understand the importance of technical standards and interoperability
Identify drivers and barriers to multi-currency CBDC initiatives

Digital Transformation: What is digital and why does it matter?

This course establishes a clear, practical understanding of digital transformation within commercial and regulatory environments. Participants explore how organisations translate digital strategy into operational capability while navigating challenges such as legacy systems, data governance, ethics, and cultural resistance.

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Distinguish between digitisation, automation, and transformation
Understand the organisational drivers of digital transformation
Link digital initiatives to business and regulatory outcomes
Evaluate the role of technologies such as cloud and AI
Identify common success factors and failure risks
Understand operating model and delivery considerations
Recognise the importance of data governance, ethics, and cyber security
Address cultural resistance and organisational barriers
Apply leadership behaviours suited to digital change

Tailored in-house training

Cost

Competitive pricing

Format

Online / in person

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Why choose Kaplan?

Choosing Kaplan means partnering with an industry leader dedicated to your team's growth. This is why some of the most globally recognised banks and investment companies trust us for their training and development needs.

Future facing

Our courses and support tools are developed with market leading employers. We understand the current and future needs of the industry and how to equip individuals to be ready for change.

Real-world impact

Our courses help develop essential knowledge and technical skills that can be applied in the real world, and cover a range of vital and emerging topics.