While building enterprise grade Blockchain applications to serve a large set of customers you need to think whether your application complies with data protection regulations. Using the Hyperledger framework you can build permissioned applications with better performance, scalability and trust. This will not only give you full control of data being shared with other parties but also brings in a higher level of security. This course will teach you all the basics of Hyperledger Fabric technology so that you can use it in your Enterprise grade projects with better understanding & clarity. You will learn about Hyperledger Fabric, how it is different from technologies like Bitcoin, Ethereum & related crypto currencies. Architecture and components of Hyperledger Fabric & how this works in applications. You will be building a legal land registration application with Hyperledger Fabric which caters to a large set of customers and also can be used by large enterprises for a non-financial projects. Evaluate if a business application will benefit by adoption of Distributed Ledger Technology. By the end of this course you will be confident in building your own fault-tolerant, high performance, secure business related applications using Hyperledger Fabric and Compose framework on Blockchain technology. All the code and supporting files for this course are available on Github. About the AuthorAlejandro Vicente Grabovetsky is CTO and Chief Data Scientist at AID: Tech, and uses Blockchain to bring social and financial Inclusion to the world’s undocumented and underserved. Sasha got his BA and PhD at the University of Cambridge, and worked as a Cognitive Neuroscience PostDoc at the Donders Institute in the Netherlands before lighting his entrepreneurial spark in 2014. He has worked on Machine Learning and AI during both his scientific life and at his previous healthcare-focused startup Avalon AI, which went through acclaimed accelerators such as Entrepreneur First and Techstars. Currently his favorite toys are Hyperledger Fabric/Composer, Kubernetes/Helm, and Keras/Tensorflow.
