What You Will Achieve
Learning Outcomes
By the end of this program, participants will be equipped to design and deploy integrated intelligent systems at the intersection of Blockchain, IoT, and Artificial Intelligence.
Understand the fundamentals of Blockchain, IoT, and AI — individually and as an integrated stack
Develop and deploy smart contracts using Solidity on the Ethereum blockchain
Build real-world IoT applications with sensor integration, edge computing, and cloud platforms
Apply AI and ML models in Python for regression, classification, and IoT data analysis
Design integrated Industry 4.0 systems that combine Blockchain + IoT + AI
Present and defend a capstone mini-project demonstrating full-stack Industry 4.0 competency
Curriculum
9 Modules — 40 Hours of Intensive Learning
A carefully sequenced curriculum moving from fundamentals to integration, culminating in a hands-on mini-project and live viva presentation.
01
Fundamentals of Blockchain, IoT & AI
4 Hours
Introduction to Blockchain, IoT, and Artificial Intelligence
Industry 4.0 overview — the convergence driving the future of engineering
Real-world applications across sectors: healthcare, logistics, manufacturing, energy
02
Blockchain Fundamentals
6 Hours
Blockchain architecture — blocks, hashes, nodes, and the chain structure
Hashing, Merkle trees, and cryptographic integrity
Consensus mechanisms — Proof of Work, Proof of Stake, and beyond
Centralized vs Decentralized systems — the trust problem solved
Smart contracts — what they are and why they matter
03
Blockchain Development
6 Hours
Solidity programming language — syntax, data types, functions, and modifiers
Ethereum basics — accounts, gas, and the EVM
Decentralised Applications (DApps) — architecture and use cases
Hands-on deployment using the Remix IDE — write, test, and deploy live
04
IoT Fundamentals
5 Hours
IoT architecture — perception, network, and application layers
Communication protocols — MQTT, HTTP, and CoAP
Edge computing vs Cloud computing — tradeoffs and use cases
05
IoT Development
5 Hours
Sensor integration with Arduino and NodeMCU — hands-on hardware simulation
Data transmission — connecting devices to the cloud
IoT cloud platforms — setup, dashboards, and data storage
IoT security — threats, vulnerabilities, and mitigation strategies
06
AI & Machine Learning Basics
5 Hours
Introduction to Artificial Intelligence and Machine Learning paradigms
Supervised learning — Regression and Classification algorithms
Python implementation — hands-on coding with real datasets
07
Integration: Blockchain + IoT + AI
5 Hours
Blockchain + IoT integration — secure, tamper-proof data pipelines
AI for IoT — applying ML models to sensor data streams
Industry case studies — supply chain, smart cities, precision agriculture
08
Industry Trends & Career Pathways
2 Hours
Latest trends in Industry 4.0 and emerging tech convergence
Career opportunities — roles, industries, and salary benchmarks
09
Mini Project — Design, Build & Present
6 Hours
End-to-end project development — design an integrated Blockchain + IoT + AI system
Written report submission demonstrating understanding and implementation
Live online presentation and viva — defend your solution to industry evaluators
Tools & Technologies
Industry-Standard Tech Stack
You will work with the same platforms and tools used by engineers and developers in the field — no toy environments, no shortcuts.
Solidity
Ethereum
Remix IDE
Arduino
NodeMCU
MQTT
Python
Scikit-Learn
IoT Cloud Platforms
DApps
Edge Computing
Smart Contracts
Day-by-Day Schedule
20-Day Learning Journey
Every session is purposefully structured — combining lectures, live coding, demos, and assignments for maximum retention and practical skill-building.
| Day | Topic | Mode | Activity |
|---|
| Day 1 | Introduction, Industry 4.0 & Program Overview | Live Lecture | Group Discussion |
| Day 2 | Blockchain Basics — Centralized vs Decentralized | Live Lecture | Case Study |
| Day 3 | Blocks, Hashes, Nodes & How the Chain Works | PPT + Whiteboard | Flowchart Exercise |
| Day 4 | Consensus Mechanisms & Double Spending Problem | Live Lecture | Quiz |
| Day 5 | Ethereum & Smart Contracts | Live Lecture | Live Demo |
| Day 6 | Solidity Programming Basics | Live Coding | Coding Lab |
| Day 7 | Remix IDE & Smart Contract Deployment | Demo | Hands-on Lab |
| Day 8 | DApps & Blockchain Use Cases | Live Lecture | Assignment |
| Day 9 | IoT Architecture & Ecosystem | Live Lecture | Group Discussion |
| Day 10 | Protocols (MQTT, HTTP) & Edge vs Cloud | Live Lecture | Case Study |
| Day 11 | Arduino / NodeMCU — Sensor Integration | Demo | Hands-on Lab |
| Day 12 | Data Transmission — Device to Cloud | Demo | Hands-on Lab |
| Day 13 | IoT Cloud Platforms & Dashboards | Demo | Hands-on Lab |
| Day 14 | AI & ML Basics | Live Lecture | Group Discussion |
| Day 15 | ML Algorithms — Regression & Classification | Coding Lab | Dataset Work |
| Day 16 | AI for IoT — Applying Models to Sensor Data | Live Lecture | Dataset Work |
| Day 17 | Blockchain + IoT Integration | Live Lecture | Case Study |
| Day 18 | AI + Blockchain Convergence | Live Lecture | Group Discussion |
| Day 19 | Mini Project Development | Lab | Implementation |
| Day 20 | Project Presentation & Viva | Online Meet | Evaluation |
Assessment
How You Are Evaluated
Assessment is spread across four components designed to test both theoretical understanding and practical implementation ability.
20%
Assignments
Module-based tasks submitted after key lectures
30%
Lab Work
Hands-on coding sessions and practical lab exercises
30%
Mini Project
End-to-end integrated system design and report
20%
Viva
Live oral examination and project defence