Blockchain fundamentals and applications: Sydney, 12–13 March 2019
March 12 @ 9:30 am - March 13 @ 5:00 pm
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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
Who should attend?
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.
No prior knowledge of blockchain, cryptography, programming or mathematics is required to take this course.
Attendees should, by the end of the course:
- be able to identify the role of blockchain for specific use-cases
- be familiar with public cryptocurrencies, including an intuition for the underlying network economics
- be familiar with the value, role and key applications of smart contracts, in both a public and permissioned context
- be able to distinguish between public and permissioned blockchains, their individual strengths and weaknesses and the tradeoffs associated with each approach
The instructor: Tristan Blakers
Tristan Blakers is a fintech professional with 15 years’ experience designing systems for global financial institutions. He currently consults for several blockchain startups, specialising in the tokenisation, custody, and exchange of real-world assets. Tristan gave expert advice to academic researchers at the CMCRC’s Digital Currency Research Centre, and built their crypto-data acquisition platform. He also ran a cryptocurrency brokerage and custody service targeting high net-worth individuals and investment funds seeking exposure to this emerging asset class.
Earlybird pricing is available until 26 February 2019.
Group discounts also apply during the earlybird period: 5% for 2–4 people, 10% for 5–6 people, 15% for 7–8 people, and 20% for 9 or more people. Select your desired quantity of tickets and click “Add to cart” to see the discount calculated before checkout.
About our training
Eugene Dubossarsky’s courses are unlike those offered in universities, online, or by private providers. His data-science classes, in particular, give clients not just knowledge of a process, but the real power of understanding the underlying concepts, allowing them to confidently practice, manage, promote and risk-assess data science.
Dr Dubossarsky says “the way many courses teach data science is like teaching people to memorise and recite poetry in a language they do not understand”. By contrast, he confers an understanding of that language, taught in an intuitive, accessible way that leaves trainees with an instinct for data science. Keeping formulae and mathematics to a bare minimum and taking an intuitive, visual approach, Eugene’s courses deliver a compressed mentoring experience as much as they do content. This is difficult for an average trainer to replicate. Trainees benefit from his extensive knowledge and over 20 years of commercial data-science experience, as well as his unique teaching style.
The resulting testimonials speak for themselves, and candidates come from all walks of life: CEOs, general managers, salespeople, IT professionals, marketing staff, public servants and of course people from many functions in the finance world. These testimonials are extensive, and many more are available on request. With specific regard to finance, Eugene has mentored and advised senior leaders and their teams in a number of major Australian banks.
Having studied stats at Uni I was surprised how far the field has progressed in the last few years, particularly in the area of big data. The great thing about Eugene’s course is I left with a sense that I was up to date with the latest big data modelling concepts but more importantly could also deploy them with some confidence using R. Eugene also made it clear he was available to answer questions after the course, so you are not left hanging. I would absolutely recommend this!
—Damon Rasheed, CEO, Rate Detective
For someone who does not come from an IT background R is a terrifying program. Before doing the Introduction to R course I had previously done other courses in R but always found myself in over my head because they assumed a high level of program experience (even course that required no prior programming knowledge). This course is not like that at all. It starts at ground zero and teaches you everything you need to know to be able to use R confidently in your everyday workplace. It is a must attend for anyone who wants use R!
Data science can be a challenging topic but Eugene’s “Introduction to Machine Learning” course turns complex statistical models into plain English. The course contents and presentation were accessible and I enjoyed the mixture of hands-on rattle() exercises, the challenge of building multiple models with real life data, and the salient theory whiteboard discussions created many “aha” moments.
It was a great introductory course and it gave me with a better grasp of Machine Learning in general, a great framework for thinking about it and practical hands-on skills that I can put to immediate use. I wish I had done this course sooner.
—Charl Swart, Director of Business Operations, Unisys Credit Services
Questions and further details
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 2 weeks or more before the course starts. No refunds will be issued for cancellations made less than 2 weeks before the course starts.
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.
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.
I’m lost! How do I find the venue?
Presciient training, coaching, mentoring and capability development for analytics
Please ask about tailored, in-house training courses, coaching analytics teams, executive mentoring and strategic advice and other services to build your organisation’s strategic and operational analytics capability.
Our courses include:
- Predictive Analytics, Machine Learning, Data Science and AI
- Data Literacy for Everyone
- Introduction to R and Data Visualisation
- Introduction to Python for Data Analysis
- Forecasting and Trend Analytics
- Advanced Machine Learning Masterclass
- Advanced Masterclass 2: Random Forests
- Advanced R
- Quantum Computing
- Text and Language Analytics
- Fraud and Anomaly Detection
- Introduction to Machine Learning
- Introduction to Data Science
- Kaggle Boot Camp
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For any enquiries, please call +61 4 1457 3322.
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