FinTech and Digital Banking Course

Lesson 1 • Fintech Ecosystem and Key Players

Maps incumbents, challengers, enablers, and regulators within the fintech ecosystem. Clarifies how each actor creates and captures value in digital financial services.

Lesson 2 • Core Fintech Business Models

Analyzes revenue models including platform, marketplace, SaaS, and embedded finance. Connects business model choice to competitive positioning and customer acquisition strategy.

Lesson 3 • Evolution of Financial Services

Traces banking from physical branches to digital-first models. Provides historical grounding that contextualizes every subsequent technology and regulatory shift covered in the course.

Lesson 1 • Card Networks and Scheme Economics

Covers four-party card models, interchange fees, and scheme rules. Connects card economics to product pricing decisions for issuers and acquirers.

Lesson 2 • Buy Now Pay Later and Alternative Payments

Analyzes BNPL mechanics, risk models, and consumer credit implications. Situates alternative payment methods within the broader competitive payments landscape.

Lesson 3 • Digital Wallets and Mobile Payments

Examines how digital wallets store credentials and initiate payments. Links wallet design to user adoption, tokenization, and merchant acceptance strategies.

Lesson 1 • API Architecture for Financial Services

Explains RESTful API design, authentication standards, and financial-grade security profiles. Equips students to evaluate API quality and integration feasibility.

Lesson 2 • Building Open Banking Products

Applies open banking capabilities to real product use cases such as PFM and lending. Bridges technical understanding to commercial product development decisions.

Lesson 3 • Third-Party Provider Ecosystem

Distinguishes account information, payment initiation, and other third-party provider roles. Shows how TPP categories shape product design and partnership strategies.

Lesson 1 • Digital Loan Products and Platforms

Analyzes consumer, SME, and marketplace lending platforms and their operational models. Connects product design choices to funding structures and regulatory classification.

Lesson 2 • Machine Learning in Credit Underwriting

Covers gradient boosting, neural networks, and explainability techniques in lending. Addresses model governance requirements that regulators expect from automated credit decisions.

Lesson 3 • Alternative Data and Credit Scoring

Explores non-traditional data sources including utility, rental, and behavioral signals. Connects alternative scoring to financial inclusion goals and model risk considerations.

Lesson 1 • AML Transaction Monitoring Systems

Covers rule-based and machine learning approaches to detecting suspicious activity. Addresses alert management, false positive reduction, and regulatory reporting obligations.

Lesson 2 • Regulatory Technology Landscape

Defines regtech categories including reporting, monitoring, and identity verification tools. Positions regtech as a strategic investment that reduces compliance cost and operational risk.

Lesson 3 • KYC Automation and Digital Onboarding

Explains document verification, biometric checks, and risk-based customer due diligence. Links onboarding friction reduction to conversion rates and compliance outcomes.

Lesson 1 • Distributed Ledger Technology Fundamentals

Explains consensus mechanisms, cryptographic hashing, and ledger immutability. Provides the technical foundation needed to evaluate blockchain applicability in financial services.

Lesson 2 • Decentralized Finance Protocols

Analyzes DEX, lending, yield, and liquidity pool mechanics in DeFi ecosystems. Evaluates DeFi's disruptive potential and systemic risks relative to traditional finance.

Lesson 3 • Institutional Blockchain Applications

Covers trade finance, cross-border settlement, and tokenized asset use cases. Bridges DLT theory to enterprise deployment decisions and interoperability challenges.

Lesson 1 • Financial Data Infrastructure

Covers data lakes, warehouses, streaming pipelines, and financial data governance. Establishes the infrastructure layer that enables all downstream analytics and AI applications.

Lesson 2 • Fraud Detection and Risk Analytics

Builds real-time fraud scoring, network analysis, and anomaly detection capabilities. Links fraud analytics directly to financial loss reduction and customer trust outcomes.

Lesson 3 • Generative AI and LLMs in Banking

Examines conversational AI, document intelligence, and code generation applied to banking. Addresses hallucination risk, data privacy, and responsible AI governance in financial contexts.

Lesson 1 • Bank-Fintech Partnership Models

Analyzes white-label, BaaS, co-brand, and API partnership structures between banks and fintechs. Evaluates commercial terms, risk allocation, and strategic fit for each model.

Lesson 2 • Global Expansion and Market Entry

Addresses licensing, localization, and partnership strategies for entering new markets. Synthesizes regulatory, cultural, and operational factors into a market entry decision framework.

Lesson 3 • Fundraising and Fintech Investment Landscape

Examines venture capital, strategic investment, and debt financing options for fintech firms. Prepares students to evaluate term sheets and align funding strategy with growth stage.

Lesson 4 • Fintech Product Strategy and Roadmapping

Applies jobs-to-be-done, OKRs, and prioritization frameworks to fintech product planning. Connects product strategy to regulatory constraints and technology capability timelines.