Our Courses

What you'll learn

By taking this focus course, attended candidates are expected to be familiar with the following concepts: Blockchain Basic

Permissioned and distributed ledger
Public, private and side chain
Tokenized and token-less blockchain
Types of blockchain technology

Properties of Blockchain

Decentralization
Transparency
Immutability
Availability
Secure
Uniqueness

Concepts of Blockchain

Transaction life-cycle
Commonly used opcodes
UTXO
Transaction fee
Transaction pool
Transaction verification

Crypto Primitives

Cryptographic hash function
Hash pointer and Merkle tree
Block P2P network
CAP theorem
Types of consensus
Genesis Block
Digital Signature
Public Key Cryptography
A basic cryptocurrency
Name Coin
Zcash

Bitcoin Basics

Creation of coins, native coins
Payments and double spending
FORTH-the precursor for Bitcoin scripting
Symmetric cryptography
Elliptical curves
Hashes SHA 256
Message digest
Proof of Work
Permissioned Blockchain
Actors in a Blockchain
Blockchain ledger

The Blockchain and the Future of everything

25 lessons

This course will teach you how to get productive with blockchain development quickly in a...

What you'll learn

Discover the drivers of Fintech such as artificial intelligence, Big data and how they can be leveraged to improve customer service, make data driven decisions, and explore risk and reward.
You'll gain a foundational understanding of what exactly Fintech encompasses and how it is changing the world we live in. 3. Appraise fintech challenges and rapid response strategies.
Solve problems arising from digital disruptive technologies.
The frameworks for investing in disruptive innovative technologies.
Discover and understand the various types of technologies that are used both by startups and established financial institutions to make financial services more accessible to all.
Measure digital customer experience
To equip learners with the right set of skills and knowledge in Fintech
Understand the tools and processes that uncover value from data.
Learn cutting edge insights on how to manage financial innovations disruptors within a competitive landscape.
The dynamics of Fintech and how it is transforming the world of finance.

Disruptive Innovation

8 lessons

Fintech Innovation is beginning to disrupt the financial world as we know it The...

What you'll learn

Understanding the basics of Regtech, Suptech and compliance
The technologies and tools driving Regtech.
Discover the drivers of Fintech such as artificial intelligence, Big data and how they can be leveraged to improve customer service, make data-driven decisions, and explore risk and reward.
Use cases on regulating technologies driving Regtech like cryptocurrencies, Artificial Intelligence, Big data etc.
The dynamics of Fintech and how it is transforming the world of finance.
Understand the dynamics of RegTech and the driving forces behind it.
Understand which risk and compliance functions are redefined by RegTech, why and how.
Be able to discuss concrete application cases of RegTech.

Fintech, Innovation, Regtech & Compliance

15 lessons

This Fintech learning programme gives participants who are in need of greater granularity...

What you'll learn

In this learning programme you will learn the basics of cryptocurrencies, from its origins and the blockchain technology behind it to the benefits and drawbacks of digital currencies as well as questions you should ask yourself if you are considering investing. The main aim is to educate and create a sense of realism with respect to Cryptocurrencies, related applications, smart contracts and digital assets. Participants will understand how Bitcoin and other cryptocurrency systems work, and how they challenge current financial systems. regulatory practices using real examples of how different industries are executing the technology and improving their business.

Cryptocurrencies and Other Digital Assets

10 lessons

There have been many attempts to create digital money in the past, but they have always...

What you'll learn

In-depth analysis of Cybercrime, Online fraud, Digital piracy and regulation
Understanding the vital concepts like Confidentiality, data Integrity and Availability, what is a threat versus vulnerabilities, and pertinent statistics on current data security trends.
Elucidate on different industry standard IT risk assessment process and methodologies
Best practices for securing company information systems
Media Control – Storage state ( encrypted/not encrypted ) confidential/sensitive data
Email Security - double checking addresses, avoiding putting sensitive information in the body of emails but rather in an encrypted attachment
Physical security – policing work areas for sensitive info, shredding unneeded paper copies, being wary of shoulder surfing and tailgating in sensitive areas, printer security.
Overview of incident reporting policy & procedures that detail what to do if they believe a security incident has occurred, who to call, what to expect and what information to provide to responsible parties

Introduction to Cybersecurity

7 lessons

The training begins by giving a broad overview of information before narrowing it down to...

What you'll learn

This learning programme introduces participants to the Big Data Canvas, a methodology for ensuring that data strategies remain feasible while pursuing the most valuable outcomes.
Recognize the dynamics of big data, analytics, and data science in various financial applications.
Identify the Critical Success Factors for an organization’s Big Data strategy
Shape your organization’s big data strategy by leveraging data science best practices.
Gain understanding of business analytics with the use of robust data and the ability to consider the relationships between this data science and finance to make holistic judgments when analyzing situations.
Apply ethical practices in everyday business activities and make well-reasoned ethical business and data management decisions. Select, Prepare, Construct, and Integrate, Structure, and Format data to be most effective to ensure the models meet the business goals.
Develop actionable plans from existing data and initiatives to increase sales, reduce marketing costs and improve customer retention.
Demonstrate knowledge of statistical data analysis techniques utilized in business decision making.
Manage data efficiently and allow users to perform multiple tasks with ease.