AI Academy

The Future of Payment Technologies

Instructor: Andrew Wu Duration: 7 hours to complete
Objective 1 Explain how current payment systems operate.
Objective 2 Describe inefficiencies in current practices in the processing of payments.
Objective 3 Relate new technological innovations to current inefficiencies.
Objective 4 Build value propositions for new technologies in the payment space.
Emerging Technologies
FinTech
Credit/Debit Card Processing
Mobile Banking
Payment Processing and Collection
Payment Processing
Digital Assets
Point of Sale
Transaction Processing
Payment Systems

Blockchain and Cryptocurrency Explained

Instructor: Andrew Wu Duration: 8 hours to complete
Objective 1 Explain how blockchain works.
Objective 2 Articulate the key technical aspects, such as decentralization and consensus algorithms.
Objective 3 Describe the strengths and weaknesses of cryptocurrency as an asset and a payment mechanism.
Objective 4 Evaluate tradeoffs of blockchain as a business solution.
Distributed Computing
FinTech
Digital Assets
Business Analysis
Payment Systems
Business Solutions
Cryptography
Technical Analysis
Algorithms
Blockchain
Emerging Technologies
Market Dynamics

Raising Capital: Credit Tech, Coin Offerings, and Crowdfunding

Instructor: Andrew Wu Duration: 8 hours to complete
Objective 1 Estimate a logistic regression.
Objective 2 Identify the key ingredients of a credit scoring algorithm.
Objective 3 Identify the advantages and disadvantages to crowd-sourced lending.
Objective 4 Differentiate crypto-based capital-raising models.
Credit Risk
Lending and Underwriting
Financial Services
Commercial Lending
FinTech
Banking
Financial Analysis
Blockchain
Mobile Banking
Fundraising
Consumer Lending
Capital Markets
Fundraising and Crowdsourcing

Innovations in Investment Technology: Artificial Intelligence

Instructor: Andrew Wu , Robert Dittmar Duration: 10 hours to complete 3 weeks at 3 hours a week
Objective 1 Recognize the strengths and weaknesses of human financial advisors and investors.
Objective 2 Explain the business model of robo/AI-advisors.
Objective 3 Identify the relationship between identifiable firm characteristics and average returns.
Objective 4 Build a diversified portfolio based on attitudes toward risk.
Artificial Intelligence
Artificial Intelligence and Machine Learning (AI/ML)
Wealth Management
Asset Management
Machine Learning
Portfolio Management
Financial Market
Artificial Neural Networks
FinTech
Financial Trading
Predictive Analytics
Big Data
Investment Management