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Created by Rajeev Sakhuja
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Description
Setting up Hyperledger Fabric Infrastructure is a complex task that requires the users to understand the concepts and the tools. This course is for technologists who are looking to architect & design solutions on Hyperledger Fabric based Distributed Ledger Technology (DLT).
This course has already helped 1500+ students gain expertise on Fabric Network design & setup.
At the end of this course students will:
Have hands on knowledge of Hyperledger Fabric Components & Practices
Understand how to design the Hyperledger Fabric Infrastructure as per the requirements
Setup Fabric Certification Authorities & Manage identities
Be able to setup the test & production grade Fabric network infrastructure
Design Consortium setups & policies
Configure the YAML files for Fabric network initialization
Carry out Fabric network configuration updates
Be able to setup Fabric Network on
Native in a Virtual Machine (Locally)
Cloud (AWS)
Docker & Docker Compose
Minikube & Kubernetes (GCP)
Will be in a position to take the CHFA exam (Practice required)
Tools Covered:
configtxgen, cryptogen, configtxlator
orderer, peer, kafka
fabric-ca-server, fabric-ca-client
jq, docker, docker-compose, minikube kubernetes
AWS & GCP installation
Before joining the course:
Go through the preview lectures & Make sure you understand my accent :)
Be aware that this course covers advanced topics & may require you to spend time on additional readings etc
Understand the basics of Hyperledger Fabric - take a look at my course on Composer, it will help build a solid foundation
Know this course will NOT teach you how to develop chaincode - take a look at my course on "Mastering Chaincode Development with GoLang"
Pre-Requisites:
Students MUST have the conceptual knowledge of Hyperledger Fabric DLT
Students MUST be comfortable with basic Linux commands
Students MUST be comfortable with basic/simple shell scripts
Students MUST be willing to learn (Fabric related technologies) on their own
Good to have:
Basic understanding of Docker / Kubernetes
Understanding of Virtual Machines | Hypervisors
Access to any public cloud (AWS, Google ...)
Working knowledge of JSON or YAML format
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