Blockchain+ Developer™
BL-200
Build the Foundations of Tomorrow with Blockchain Developer- Career-Focused: Build expertise in blockchain and Bitcoin development
- Hands-On Skills: Tackle practical development work with future-oriented learning
- Innovation-Driven: Learn strategies for digital transformation and decentralized innovation
Why This Certification Matters
At a Glance: Course + Exam Overview
- Instructor-Led: 5 days (live or virtual)
- Self-Paced: 30 hours of content
Job Roles & Industry Outlook
AI Specialist
Apply AI technologies to solve business problems and drive innovation across industries.
Business Analyst
Analyze business processes and leverage AI to optimize operations and decision-making.
Data Analyst
Transform data into actionable insights using AI-powered analytics tools.
Technology Consultant
Guide organizations in adopting AI solutions aligned with their strategic goals.
Innovation Manager
Lead AI-driven innovation initiatives to enhance organizational capabilities.
Industry Growth: Blockchain+ Developer™
- High Demand for Blockchain Developers: Organizations are increasingly seeking blockchain developers who can create innovative, scalable solutions and drive the adoption of decentralized technologies.
- Challenges of Limited Blockchain Expertise: Without hands-on expertise in blockchain development, developers may struggle to implement effective solutions and optimize blockchain infrastructure.
- Impact of Certified Blockchain Developers: Certified blockchain developers are key to advancing decentralized applications (DApps), ensuring robust functionality, security, and scalability.
- Adapting to Blockchain Advancements: As blockchain technology continues to evolve, this certification ensures developers are up-to-date with the latest tools, frameworks, and industry practices.
Who Should Enroll?
- Blockchain Developers: Gain the technical expertise needed to build and implement blockchain-based applications and solutions for diverse industries.
- Software Engineers: Learn how to integrate blockchain technology into software development to enhance security, scalability, and efficiency.
- Tech Innovators: Dive deep into blockchain development to stay at the forefront of technological advancements.
- Fintech Developers: Explore blockchain’s role in transforming financial services, from digital wallets to decentralized finance (DeFi) applications.
- Enterprise IT Professionals: Understand how to leverage blockchain to improve operational efficiencies, data integrity, and transparency within large organizations.
What You'll Learn
- Course Introduction Preview
- 1.1 Origin of Blockchain
- 1.2 What is Blockchain?
- 1.3 Consensus Mechanisms
- 1.4 What are Smart Contracts?
- 1.5 Bitcoin Blockchains
- 2.1 What is an EVM and Ethereum?
- 2.2 Wallets Introduction and Creation
- 2.3 Introduction to Remix Editor with Metamask
- 2.4 Smart Contract Basic Structure
- 2.5 Variables, If/Else, Strings, Loops, Arrays, Test Tokens
- 3.1 Libraries, Interfaces, Modifiers
- 3.2 Structures, Enums, ABI, Calldata, Events, and Transfers
- 3.3 Contract-to-Contract Calls
- 3.4 Address and Address Payable
- 3.5 Receive and Fallback Functions
- 3.6 Upgradeable Contracts
- 3.7 Openzepplin Libraries
- 4.1 ERC20 Token Creation
- 4.2 NFT, NFT Minting, IPFS, Security, and Pinata Cloud
- 5.1 Truffle, Ganache, and Hardhat
- 5.2 Metamask Wallet
- 5.3 Remix Development Environment
- 5.4 Localnet and Testnet Deployment
- 6.1 Web3.0 Integration with JS
- 6.2 Wallet Creation and Sending Transactions
- 7.1 Public Vs Private vs. Consortium Blockchain Frameworks
- 7.2 Introduction to the Hyperledger Fabric
- 7.3 Hyperledger Projects
- 8.1 Basic Concepts of HLF
- 8.2 Docker Introduction
- 8.3 Commands and Setup
- 9.1 Installation and Path Setup
- 9.2 VS Code Plugin Setup, Variables, Strings, Conditional Statements, and Loops
- 9.3 Basics of the Language
- 10.1 Chain code Explanation using Fabric Samples and Test-network Explanation using Linux Scripting
- 10.2 Error Handling
- 10.3 Error Codes and Messages
- 10.4 Logging Errors
- 10.5 Handling Panics
- 11.1 Extending the Default Chaincode
- 11.2 Chaincode Deployment
- 11.3 REST API Integration with Front End
- 12.1 Why Smart Contract Audits are Necessary
- 12.2 Introduction to Firefly, Fabconnect, and Blockchain Explorer
Tools You'll Explore
Etherscan
Remix IDE
Hyperledger Fabric
Hardhat
Prerequisites
- Familiarity with general programming concepts, Basic knowledge of Python, JavaScript, Java, Able to use command line consoles.
Exam Details
Duration
90 minutes
Passing Score
70% (35/50)
Format
50 multiple-choice/multiple-response questions
Delivery Method
Online via AI proctored exam platform (flexible scheduling)
Exam Blueprint
- Module 1: Introduction to Blockchain and Smart Contracts - 8%
- Module 2: Ethereum Virtual (EVM) and Solidity Basics - 8%
- Module 3: Advanced Solidity and Structures - 8%
- Module 4: Tokenization and NFTs - 8%
- Module 5: Development Tools and Techniques - 8%
- Module 6: DApp Integration and Testing - 8%
- Module 7: Introduction to Private Blockchains - Hyperledger Fabric - 8%
- Module 8: Deep Dive into Hyperledger Fabric - 8%
- Module 9: Golang Programming for Hyperledger Fabric - 9%
- Module 10: Chaincode Structure and Error Handling - 9%
- Module 11: Custom Chaincode - 9%
- Module 12: Smart Contract Auditing and Tools, Hyperledger Fabconnect, and Firefly - 9%
Choose the Format That Fits Your Schedule
What's Included (One-Year Subscription + All Updates):
- High-Quality Videos, E-book (PDF & Audio), and Podcasts
- AI Mentor for Personalized Guidance
- Quizzes, Assessments, and Course Resources
- Online Proctored Exam with One Free Retake
- Comprehensive Exam Study Guide
- Access for Tablet & Phone
Frequently Asked Questions
The course includes a mix of theoretical knowledge and practical applications, culminating in an interactive capstone project. This structure ensures that participants gain both conceptual understanding and hands-on experience.
This course is ideal for developers, IT professionals, and anyone with a foundational understanding of AI and cloud computing who wants to enhance their skills in integrating AI with cloud platforms like AWS, Azure, or Google Cloud.
Participants will learn to develop, deploy, and manage AI models on leading cloud platforms. Skills include optimizing AI model performance, ensuring security, meeting compliance standards, and applying AI and cloud concepts to solve real-world problems.
This certification enhances your professional profile by demonstrating proficiency in integrating AI with cloud computing. It equips you with in-demand skills, giving you a competitive edge in the job market and opening doors to lucrative career opportunities.
The certification includes an interactive capstone project where participants apply their knowledge to design and implement AI solutions within cloud environments. This project is designed to simulate real-world scenarios and challenges.