• Logo
  • Logo
  • Logo
Topics:

Topics:

Welcome to Distributed Ledger Technology in Finance Certificate (DLT)

Start Date: Thursday 4th April 2019

25% Super Early Bird Discount until Friday February 15th 2019

Blockchain and Cryptocurrency have become an essential part of the Fintech field, gaining more and more traction in traditional finance. There are numerous Distributed Ledger Technology (DLT) startups, job openings and internal corporate projects. However, most finance professionals are not proficient in this domain area and there is a lack of consistent educational resources. The Distributed Ledger Technology in Finance Certificate (DLT) will close this gap.

The Distributed Ledger Technology in Finance Certificate (DLT) is a 16 week qualification comprising of 3 modules, 12 lecture weeks, 3 assignments, a practical final project and a final sit down 3 hour examination using our global network of examination centres. This course has been designed to empower individuals who work in or are seeking a career in Blockchain, Cryptocurreny or Distributed Ledger Technology in finance. The DLT is a career-enhancing professional qualification, that can be taken worldwide.

DLT Faculty

Welcome to The Distributed Ledger Technology in Finance Certificate (DLT)

Distributed Ledger Technology in Finance Certificate (DLT) 

Blockchain and Cryptocurrency have become an essential part of the Fintech field, gaining more and more traction in traditional finance. There are numerous Distributed Ledger Technology (DLT) startups, job openings and internal corporate projects. However, most finance professionals are not proficient in this domain area and there is a lack of consistent educational resources. The Distributed Ledger Technology in Finance Certificate (DLT) will close this gap.

The Distributed Ledger Technology in Finance Certificate (DLT) is a 16 week qualification comprising of 3 modules, 12 lecture weeks, 3 assignments, a practical final project and a final sit down 3 hour examination using our global network of examination centres. This course has been designed to empower individuals who work in or are seeking a career in Blockchain, Cryptocurreny or Distributed Ledger Technology in finance. The DLT is a career-enhancing professional qualification, that can be taken worldwide.

 

NEXT COHORT STARTS: Tuesday 4th April 2019

  • SUPER EARLY BIRD DISCOUNT: 25% Discount until 15th February 2019
  • VOLUME DISCOUNT: If 2 or more people from your institution wish to take The DLT Certificate please contact us
  • REGIONAL OFFERS: Get in touch for offers in your geographic region

MODULE ONE: Distributed Ledger Architecture

Week 1:  Introduction to Cryptography                                                   

Intro:                                                                                                     

  • About the course
  • About me
  • Schedule, rules and materials

Introduction to Cryptography                                                     

  • Hash Functions
  • Hash Pointers and data structure
  • Digital Signature

Simple Cryptocurrency                                                   

  • Centralized currency model
  • Decentralized currency model

Bitcoin Consensus Mechanism

Bitcoin Mining                                                                                 

  • Incentives and Proof of work
  • Hash puzzles

Week 2:  Decentralization and Smart Contracts                                   

Previous lecture recap:

Possible attacks                                                                               

  • Double spend
  • 51%

Bitcoin Economy

Bitcoin internal scripting mechanism                                      

  • Turing completeness
  • Ethereum
  • Ethereum Virtual Machine

Smart Contracts

Decentralized applications                                                         

Week 3:  Network Architecture                                                                   

Previous lecture recap

Further development                                                                     

  • Segregated Witness
  • Lightning network
  • Sharding
  • State channels
  • Block size

Consensus mechanisms:                                                          

  • Proof of Work
  • Proof of Stake
  • Hybrid models

Network governance structures                                                                

  • Community decision making
  • Code ownership
  • Development incentives
  • Validation incentives

Week 4:  Guest Lecture     

Home assignment: white paper analysis for every student

Week 5: Home assignment review seminar                                           

MODULE TWO: DLT Domain Projects Review, Research and Classification

Week 6:  DLT Domain Projects Overview and Research                    

Previous module recap

Module intro

Internet of value

Types of tokens:                                                                                               

  • Currency token
  • Utility token
  • Security token

Project classification:                                                                                     

  • Currency
  • Platform
  • Marketplace
  • Private Blockchains
  • Scalability/Interoperability
  • Stablecoin

Project examples from every class:                                                          

  • Bitcoin/Litecoin/Monero
  • Ethereum/Zilliqa/EOS
  • 0x/Loopring
  • Hyperledger/Ripple
  • COSMOS/Interledger/Lightning Network
  • Tether/Stasis 

Week 7:  DLT Projects Business Models                                                     

Previous lecture recap:

Public blockchain

Private blockchain

Blockchain as a Service

Marketplaces                                                                                                    

  • Centralized
  • Decentralized
  • Hybrid

Distributed Ledger as an enterprise solution                                       

  • Finance
  • Trade
  • Logistics
  • Property
  • LegalTech
  • GovTech 

Week 8:  Market Dynamics                                                                             

Previous lecture recap

Bitcoin as a starting point

Financial bubbles review & explanation

ICO market dynamics

Other indicators                                                                                                 

  • Bitcoin dominance index
  • Relative asset valuations
  • Capital circulation
  • DCF model in crypto 

Week 9:  Guest Lectures   

Platforms:

  • Corda
  • Hyperledger Fabric
  • Ethereum 

Home assignment due-diligence for a chosen project

Week 10: Home assignment review seminar                                             

MODULE THREE: DLT and Fintech Regulation

Week 11:  Fintech Policy Overview (US, UK, EU, Malta)                    

Previous module recap

Module intro

FinTech definition

Brief history of FinTech

Regulatory challenges faced by Fintech companies

Regulatory infrastructure of different jurisdictions                              

Week 12: Cryptocurrency Regulation (US, UK, EU, Malta)              

Previous lecture recap

Cryptocurrency as money

Cryptocurrency as commodity

Cryptocurrency as property

ICO Regulation                                                                                                    

  • Howey Test
  • DAO example 

Week 13: Cryptocurrency Taxation (US, UK, EU, Malta)                   

Previous lecture recap

General taxation practices

Taxation of Natural Persons

Taxation of Legal Entities

ICO taxation

How to determine what you owe            

Week 14: Guest Lecture on Regulation      

Home assignment: DLT use-case idea research and pitch

Week 15: Home assignment review seminar

Final project: write a white-paper or business plan for a new DLT project or automation of a business process within an existing business.

Week 16: Final project review seminar


Distributed Ledger Technology in Finance Certificate (DLT) Examination

The Artificial Intelligence Finance Institute (AIFI)

BROCHURE

MISSION

The Artificial Intelligence Finance Institute’s (AIFI) mission is to be the world’s leading educator in the application of artificial intelligence to investment management, capital markets and risk.  We offer one of the industry’s most comprehensive and in-depth educational programs, geared towards investment professionals seeking to understand and implement cutting edge AI techniques.

Taught by a diverse staff of world leading academics and practitioners, the AIFI courses teach both the theory and practical implementation of artificial intelligence and machine learning tools in investment management.  As part of the program, students will learn the mathematical and statistical theories behind modern quantitative artificial intelligence modeling.  Our goal is to train investment professionals in how to use the new wave of computer driven tools and techniques that are rapidly transforming investment management, risk management and capital markets.

APPLY ONLINE

WHY ENROLL IN THE COURSE?

Artificial Intelligence and quantitative investment techniques are disrupting investment management in unprecedented ways. We are seeing the evidence all around us. In the hedge fund industry, 8 of the top 10 largest managers are now quantitatively focused. More and more fundamental managers are announcing their adoption of quantitative and AI techniques.

Investment professionals who know how to implement AI tools are in demand, yet there is a gap in training and education for those wanting to enter the field. Though it is not hard to find general AI classes and non-technical finance classes, it is not easy to find these two disciplines successfully integrated. Moreover, AI in investment management is different and more complex than AI applied to non-investment disciplines, and the tools are rapidly evolving.

By assembling a faculty comprised of the rare breed of academic thought leaders and practitioners of AI in finance, supplement with other global thought leaders in AI, AIFI seeks to help students use these cutting edge tools effectively in their investment careers. The certificate will demonstrate a world class education and competency in what will be the future of investment management that will be revered by investors and asset managers.

Course Logistics

Artificial Intelligence in Investment Management Certificate

Lectures: New York City.  March – June 2019
Days: Tuesday and Thursday. 06.00 pm – 09.00 pm
75 Hours: Lectures + Practice + Speakers
Evaluation: Projects + Final Exam

An optional Python and (relevant) mathematics refresher
will be provided at the beginning of the course.