The AI & Blockchain Masterclass is an intensive 3-day hands-on training designed to equip professionals with practical skills in Artificial Intelligence (AI), Machine Learning (ML), and Blockchain technologies. Participants will explore real-world applications of AI and Blockchain, develop intelligent models using Python or PowerBI, and create secure blockchain-based smart contracts using Solidity or Hyperledger.
This course is ideal for business leaders, developers, IT professionals, and cybersecurity experts looking to harness AI-driven automation and blockchain-based digital trust solutions.
Key Course Objectives:
By the end of this course, participants will:
✅ Understand core Artificial Intelligence and Machine Learning concepts.
✅ Develop AI models using Scikit-Learn, Linear & Logistic Regression, Decision Trees, and NLP.
✅ Gain hands-on experience with recommendation systems and predictive analytics.
✅ Master Blockchain fundamentals, cryptocurrency, smart contracts, and Ethereum development.
✅ Build and deploy Hyperledger-based enterprise blockchain solutions.
✅ Work on real-world projects in supply chain optimization, cryptocurrency, and e-voting solutions.
Course Content
Module 1 – Artificial Intelligence & Machine learning
Details – Except 1 and 2 , all remaining session based on Hands-on activity
Tool : Python Programming or PowerBI
- Introduction to Artificial Intelligence
- Why do we need to study AI?
- Applications of AI
- Branches of AI
- Defining intelligence using Turing Test
- Making machines think like humans
- Building rational agents
- General Problem Solver
- Building an intelligent agent
- Machine Learning
- What Is Machine Learning?
- Categories of Machine Learning
- Supervised Machine Learning
- Unsupervised Machine Learning
- Examples of products using machine learning
- Introducing Scikit-Learn
- Data Representation in Scikit-Learn
- Understanding well known inbuilt datasets
- Feature data, Target data, Dependent variable
- Linear Regression
- Using supply chain model Prediction
- Simple Linear Regression
- Polynomial Linear Regression
- Cost Function of Linear Regression
- Understanding linear regression using matrix
- Logistic Regression
- Using supply chain dataset to understand logistic regression
- Concept of linearly separable data
- Cost Function & Mathematical Foundation
- Decision Trees and Random Forests
- Understanding Decision trees
- Printing tree
- Motivating Random Forests: Decision Trees
- Ensembles of Estimators: Random Forests
- Random Forest Regression
- Application: Random Forest for Classifying Digits
- Building Recommender Systems
- Extracting the nearest neighbors
- Building a K-Nearest Neighbors classifier
- Computing similarity scores
- Finding similar users using collaborative filtering
- Building a movie recommendation system
- Natural Language Processing
- Tokenizing text data
- Converting words to their base forms using stemming
- Converting words to their base forms using lemmatization
- Dividing text data into chunks
- Extracting the frequency of terms using a Bag of Words model
Projects
- Inventory optimization
- Region-specific forecasts
- Bullwhip effect prevention
- Improved supplier selection
Module 2 – Blockchain
Details – Except 1 , all remaining session based on Hands-on activity
Tool : Solidity / Hyperledger
1 : Understanding Blockchain
- Blockchain Concepts
- Blockchain Features
- Public VS private Blockchain
- Security of Blockchain
- Blockchain Use Cases
2 : Case Study of Blockchain : Bitcoin
- Bitcoin and Blockchain introduction
- Bitcoin
- Uses of Bitcoin
- Blockchain
- Bitcoin and Blockchain
- Getting Bitcoin Wallet
- Online Web Wallets
- Getting and Sending Bitcoins
- Mining Bitcoin
- Working of Mining Blockchain
- Increasing Difficulty in Mining Bitcoin
- Earning Bitcoin Programmatically
- Acceptance of Bitcoin on Website
- Building and Releasing Bitcoin Enabled APIs
3 : Cryptocurrency
- Introduction to Cryptocurrency
- Understanding various Cryptocurrency
- Concept of Opening Cryptocurrency Wallets
- Buying Cryptocurrency Wallets
- Withdrawal Cryptocurrency Wallets
- Bitcoin with Cryptocurrency
4 : Ethereum
- Ethereum Introduction
- Ethereum VS bitcoin
- Ethereum Features
- Smart Contracts
- Ethereum Installation
- Ethereum Accounts
- Smart Contracts
- Ethereum Virtual Machine
- Deploying Smart Contracts
- Smart Contracts and DAO
5 : Hyperledger
- Hyperledger
- Fundamentals Of Hyperledger
- Hyperledger Architecture
- Etherium VS Hyperledger
- Hyperledger Composer
- Docker
- Npm
- Git
- Environment Setup
Projects
- Block chain based smart contract for SCM network e.g. Shipping Perishable Goods Business Network
- Block chain based solution for Business Network to illustrate using Access Control over Personally Identifiable Information.
- Block chain based solution for Commodities Trading Business Network network.
- Block chain based solution for Vehicle Lifecycle Management.
- Block chain based solution for vehicle Manufacturing Management.
- Block chain based smart contract for e-voting solution.
- Block chain based smart contract for fund collection and fund distribution.
- Block chain based crypto currency Implementation.
Course Features
- Lecture 0
- Quiz 0
- Duration 3 days
- Skill level Intermediate
- Language English
- Students 0
- Assessments Yes
Requirements
- Basic understanding of programming (Python/JavaScript is a plus).
- Familiarity with databases and cloud computing.
- Fundamental knowledge of networking and cryptography (recommended but not mandatory).
Features
- Hands-On Training: 80% practical labs, coding exercises, and real-world projects.
- Industry-Driven Curriculum: Covers the latest AI & Blockchain advancements.
- Blockchain Security & Smart Contracts: Learn Solidity, Hyperledger, and Ethereum.
- Machine Learning Models: Work on real-time AI-driven analytics & NLP applications.
- Expert Instructors: Delivered by certified AI & Blockchain professionals.
- Real-World Case Studies & Projects: AI-powered supply chain, fintech, and automation.
Target audiences
- Software Developers & Engineers – looking to integrate AI/Blockchain into applications.
- Data Scientists & Analysts – wanting to enhance predictive modeling skills.
- Cybersecurity Professionals – aiming to strengthen blockchain security skills.
- IT Professionals & Business Leaders – exploring digital transformation opportunities.
- Entrepreneurs & Startups – keen on leveraging AI & Blockchain for innovation.