This course gives participants the intuitive understanding required to distinguish real blockchain use cases from hype. Blockchain is one of the most disruptive yet least understood technologies to emerge over the previous decade. Interest from both technologists and non-technologists alike has driven huge investment by businesses ranging from startups to corporate giants such as IBM and Amazon.
Amid this excitement, remarkably few people are able to clearly explain what blockchain actually is and what applications it is suitable for. You will be able to explain developments within the cryptocurrency ecosystem and assess whether the technology is suitable for a particular use case.
The course begins with Bitcoin, the first blockchain and cryptocurrency. Necessary technical concepts including hashing and public-key cryptography are introduced in a manner fully accessible to those without a technical background. Participants are introduced to the economics and incentives of blockchain networks and the surrounding ecosystem, including cryptocurrency mining and network governance.
We conclude our coverage of public blockchains by exploring the public cryptocurrency ecosystem more broadly, covering topics such as exchanges, ICOs, STOs, stablecoins, regulatory issues, proof-of-stake, and privacy considerations.
The course then introduces smart contracts—knowledge of which is now sought by many management and legal experts whose work is being transformed and disrupted by this technology. Smart contracts are computer code that self-enforces agreements between participants who do not need to trust, or even know each other. We explore several motivating examples using the Ethereum blockchain, and introduce the key challenges: verifiable contract code, security, and operating costs.
The largest current use-case for Blockchain is asset “tokenisation”. Hundreds of startups, corporates and governments are running projects to replace the asset registries of everything from real estate and online commodities such as gold to virtual “crypto kitties”. The current status of these projects is reviewed, along with key challenges including custodianship and legal recognition of ownership.
The final part of the course introduces permissioned blockchains: networks operated by a consortium that restricts access to its chain to members or specifically authorised participants.
We review case studies in industries including financial markets, trade finance, health, and supply chain. We discuss the trade-offs inherent in the various governance structures and permission models, along with the associated security, performance, privacy, legal, and regulatory challenges.
The course concludes with a brief survey of major permissioned blockchain platforms, including Hyperledger, Ethereum, and R3 Corda.
Depending on the pace and interest of the class, we may additionally cover topics including:
- smart contract programming languages
- advanced privacy technology
- analysis of specific blockchains or coins through the conceptual frameworks of the course
Early bird pricing is available until 2 weeks prior.
This is an AlphaZetta public course – group discounts are available and also apply during the Early bird period (up to 2 weeks prior): 5% for 2–4 people, 10% for 5–6 people, 15% for 7–8 people, and 20% for 9 or more people. Discounts are calculated during checkout.
|Audience||This course is suitable for anyone in leadership, strategy, entrepreneurial, technology, finance, consulting, operations or legal roles who need to understand blockchain, and recognise its use cases and value in a range of business or industry applications.|
|Pre-requisites||No prior knowledge of blockchain, cryptography, programming or mathematics is required to take this course.|
|Objective/ Outcomes||Attendees should, by the end of the course:
|Course Author & Trainer||Tristan Blakers|
|Delivery Method||In-person at AlphaZetta Academy locations or on-premise for corporate groups|
Meals and refreshments
Catered morning tea and lunch are provided on both days of the course. Please notify us at least a week ahead if you have any special dietary requirements.
Use firstname.lastname@example.org to email us any questions about the course, including requests for more detail, or for specific content you would like to see covered, or queries regarding prerequisites and suitability.
If you would like to attend but for any reason cannot, please also let us know.
Course material may vary from advertised due to demands and learning pace of attendees. Additional material may be presented, along with or in place of advertised.
Cancellations and refunds
You can get a full refund if you cancel 14 days or more before the course starts. No refunds will be issued for cancellations made less than 14 days before the course starts.
Frequently asked questions (FAQ)
Do I need to bring my own computer?
There’s no need to bring your own laptop or PC. Our courses take place in modern, professional training facilities that have all the computing equipment you’ll need.
Private and Corporate Training
In addition to our public seminars, workshops and courses, AlphaZetta Academy can provide this training for your organisation in a private setting at your location or ours. Please enquire to discuss your needs.
Scheduled Public Courses – BOOK NOW!
Other Innovation & Technology (CTO) Curriculum Courses
Other Executive Curriculum Electives
Eugene’s courses are not your standard technical courses where you learn how to put data into a model and get a result. The real life experiences – warts and all – he brings to the instruction mean that attendees walk away with a better understanding of the real life challenges of analytics as well as the technical know-how. We routinely send our team members on these courses to help them get the capabilities that really help our clients get better insights from their data.
Eugene’s introductory course to data science was outstanding.
I found the subject matter and delivery fascinating, accessible and informative. I found Eugene approachable, interesting to listen to and excellent at simplifying complex concepts. I highly recommend this course for anyone who wants to know what data science—and all the buzz surrounding it!—are all about.