Courses and Diploma

Courses and Diploma

Curriculum and Outlines
Change your Future

Outlines for Programs

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QUANTUM COMPUTING CURRICULUM
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2-YEAR ADVANCED DIPLOMA IN QUANTUM COMPUTING
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YEAR 1
SEMESTER 1
– Introduction to Quantum Computing & History
– Linear Algebra for Quantum Mechanics
– Classical Computing and Algorithms
– Python Programming for Quantum Simulations
– Basics of Quantum Mechanics
SEMESTER 2
– Quantum Gates and Circuits
– Qubit Systems & Bloch Sphere Representation
– Quantum Entanglement & Superposition
– Qiskit Fundamentals and IBM Quantum Experience
– Mathematics of Quantum Algorithms

YEAR 2
SEMESTER 3
– Quantum Algorithms: Grover, Shor, Deutsch-Jozsa
– Quantum Error Correction & Noise
– Advanced Qiskit Programming
– Quantum Cryptography & Security
– Quantum Simulation Techniques
SEMESTER 4
– Quantum Machine Learning
– Hybrid Quantum-Classical Systems
– Quantum Networking & Communication
– Research Project: Simulation & Implementation
– Industry Applications and Capstone Project

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1-YEAR DIPLOMA IN QUANTUM COMPUTING
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SEMESTER 1
– Introduction to Quantum Computing
– Python Programming for Quantum Systems
– Linear Algebra & Quantum Mechanics Basics
– Quantum Gates and Circuits

SEMESTER 2
– Quantum Algorithms: Grover & Shor
– Quantum Entanglement and Superposition
– Quantum Cryptography Fundamentals
– IBM Qiskit Projects & Applications

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6-MONTH CERTIFICATE COURSE IN QUANTUM COMPUTING
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MONTH 1-2
– Basics of Quantum Mechanics
– Introduction to Qubits & Bloch Sphere
– Python for Quantum Computing

MONTH 3-4
– Quantum Gates and Circuits
– Entanglement & Superposition
– Quantum Algorithms: Grover & Deutsch-Jozsa

MONTH 5-6
– Quantum Cryptography Basics
– Introduction to Quantum Simulation
– Mini Project: Quantum Circuit Implementation

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3-MONTH SHORT COURSE IN QUANTUM COMPUTING
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MONTH 1
– Overview of Quantum Computing
– Qubits and Quantum States
– Basic Python for Quantum Simulations

MONTH 2
– Quantum Gates & Simple Circuits
– Entanglement & Superposition
– Grover’s Algorithm Basics

MONTH 3
– Introduction to Quantum Cryptography
– IBM Qiskit Hands-On Mini Project
– Future Applications of Quantum Computing

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AI & MACHINE LEARNING CURRICULUM
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2-YEAR ADVANCED DIPLOMA IN AI & MACHINE LEARNING
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YEAR 1
SEMESTER 1
– Introduction to AI & Machine Learning
– Mathematics for AI: Linear Algebra, Probability, Statistics
– Python Programming for AI
– Data Structures & Algorithms
– Data Analysis & Visualization

SEMESTER 2
– Supervised Learning: Regression & Classification
– Unsupervised Learning: Clustering & Dimensionality Reduction
– Neural Networks Fundamentals
– AI Ethics & Responsible AI
– Project: Data Analysis & Model Building

YEAR 2
SEMESTER 3
– Deep Learning: CNNs, RNNs, LSTMs
– Natural Language Processing (NLP)
– Reinforcement Learning
– Advanced Machine Learning Algorithms
– Cloud Platforms for AI (AWS, GCP, Azure)

SEMESTER 4
– AI in Computer Vision
– Generative AI & Transformers
– AI for Robotics & IoT
– Research Project & Case Studies
– Capstone Project: End-to-End AI Application

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1-YEAR DIPLOMA IN AI & MACHINE LEARNING
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SEMESTER 1
– Introduction to AI & Machine Learning
– Python for AI
– Mathematics for Machine Learning
– Data Analysis & Visualization
– Supervised Learning: Regression & Classification

SEMESTER 2
– Unsupervised Learning & Clustering
– Neural Networks & Deep Learning Basics
– Natural Language Processing (NLP)
– Project: AI Model Implementation

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6-MONTH CERTIFICATE COURSE IN AI & MACHINE LEARNING
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MONTH 1-2
– Introduction to AI & Machine Learning
– Python Programming Basics
– Mathematics for Machine Learning
– Data Analysis & Visualization

MONTH 3-4
– Supervised & Unsupervised Learning
– Neural Networks & Deep Learning Basics
– Project: Predictive Model Development

MONTH 5-6
– Natural Language Processing (NLP) Fundamentals
– AI Ethics & Responsible AI
– Mini Project: End-to-End AI Model

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3-MONTH SHORT COURSE IN AI & MACHINE LEARNING
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MONTH 1
– Introduction to AI & ML
– Python Basics for AI
– Data Handling & Visualization

MONTH 2
– Supervised Learning: Regression & Classification
– Neural Networks Introduction
– Unsupervised Learning Basics

MONTH 3
– Mini Project: AI Model Implementation
– AI Ethics & Real-World Applications
– Overview of Advanced AI Trends

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PYTHON PROGRAMMING CURRICULUM
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2-YEAR ADVANCED DIPLOMA IN PYTHON PROGRAMMING
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YEAR 1
SEMESTER 1
– Introduction to Programming Concepts
– Python Basics: Syntax, Variables, Data Types
– Control Structures: Loops & Conditional Statements
– Functions and Modules
– Basic Problem Solving & Algorithms

SEMESTER 2
– Data Structures in Python: Lists, Tuples, Sets, Dictionaries
– File Handling & I/O Operations
– Exception Handling
– Object-Oriented Programming (OOP) in Python
– Mini Project: Console-Based Applications

YEAR 2
SEMESTER 3
– Advanced Python: Iterators, Generators, Decorators
– Working with Libraries: NumPy, Pandas, Matplotlib
– Web Scraping with Python
– Database Connectivity: SQLite & MySQL
– Project: Data Processing Application

SEMESTER 4
– Python for Web Development: Flask & Django Basics
– Python for AI & Data Science Integration
– API Development & Consumption
– Automation & Scripting with Python
– Capstone Project: Full-Stack or Data Application

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1-YEAR DIPLOMA IN PYTHON PROGRAMMING
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SEMESTER 1
– Introduction to Programming & Python Basics
– Control Structures: Loops & Conditionals
– Functions, Modules & Packages
– Basic Problem Solving & Algorithms

SEMESTER 2
– Data Structures in Python
– Object-Oriented Programming (OOP)
– Working with Libraries: NumPy, Pandas, Matplotlib
– Mini Project: Python Application

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6-MONTH CERTIFICATE COURSE IN PYTHON PROGRAMMING
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MONTH 1-2
– Introduction to Python & Programming Concepts
– Variables, Data Types, and Operators
– Loops, Conditionals, and Functions
– Basic Problem Solving with Python

MONTH 3-4
– Lists, Tuples, Dictionaries, Sets
– File Handling & Exception Handling
– Object-Oriented Programming (OOP) Basics
– Mini Project: Python Console Application

MONTH 5-6
– Working with Libraries: NumPy, Pandas, Matplotlib
– Automation & Scripting Basics
– Final Project: Data Processing or Simple Application

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3-MONTH SHORT COURSE IN PYTHON PROGRAMMING
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MONTH 1
– Introduction to Programming & Python Syntax
– Variables, Data Types & Operators
– Loops and Conditional Statements

MONTH 2
– Functions, Modules & Packages
– Data Structures: Lists, Tuples, Dictionaries
– File Handling & Exception Basics

MONTH 3
– Introduction to Libraries: NumPy & Pandas
– Mini Project: Python Application
– Overview of Advanced Python Applications (Web, AI, Automation)

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BRAIN-COMPUTER INTERFACE (BCI) CURRICULUM
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2-YEAR ADVANCED DIPLOMA IN BCI
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YEAR 1
SEMESTER 1
– Introduction to Brain-Computer Interfaces (BCI)
– Neuroscience Basics: Neurons, Brain Anatomy & Signals
– Electrical Activity of the Brain: EEG, MEG
– Signal Acquisition & Processing Fundamentals
– Python Programming for BCI Applications

SEMESTER 2
– Advanced Signal Processing Techniques
– Feature Extraction & Selection
– Brain Signal Classification: Machine Learning Methods
– Neurofeedback Principles
– Mini Project: EEG Data Analysis

YEAR 2
SEMESTER 3
– Advanced BCI Systems: Invasive & Non-Invasive
– Real-Time BCI Signal Processing
– Brain-Computer Communication Protocols
– BCI Applications: Rehabilitation, Gaming, Assistive Devices
– Project: BCI Prototype Development

SEMESTER 4
– Neural Engineering & Neuroprosthetics
– BCI Integration with AI & Machine Learning
– Ethics and Safety in BCI
– Capstone Project: Functional BCI System
– Industry Case Studies & Future Trends

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1-YEAR DIPLOMA IN BCI
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SEMESTER 1
– Introduction to BCI & Neuroscience Fundamentals
– Brain Signal Acquisition & EEG Basics
– Python for Signal Processing
– Feature Extraction & Classification Methods

SEMESTER 2
– Machine Learning for BCI
– Neurofeedback & Cognitive Applications
– BCI Project: Signal Processing & Prototype
– Ethics & Safety in BCI

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6-MONTH CERTIFICATE COURSE IN BCI
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MONTH 1-2
– Introduction to BCI & Brain Signals
– EEG Signal Acquisition and Basics
– Python for BCI Data Handling

MONTH 3-4
– Signal Processing & Feature Extraction
– Machine Learning Basics for BCI
– Mini Project: EEG Data Classification

MONTH 5-6
– Neurofeedback & Assistive Applications
– Ethics and Safety in BCI
– Final Project: Simple BCI System Implementation

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3-MONTH SHORT COURSE IN BCI
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MONTH 1
– Overview of Brain-Computer Interfaces
– Brain Anatomy & EEG Fundamentals
– Python Basics for Signal Analysis

MONTH 2
– Signal Processing: Filtering, Feature Extraction
– Introduction to Machine Learning for BCI
– Mini Project: Simple EEG Signal Classification

MONTH 3
– Neurofeedback & Practical BCI Applications
– Ethics, Safety, and Future of BCI
– Overview of Research & Industry Trends

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FINTECH (FINANCIAL TECHNOLOGY) CURRICULUM
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2-YEAR ADVANCED DIPLOMA IN FINTECH
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YEAR 1
SEMESTER 1
– Introduction to FinTech & Financial Systems
– Basics of Banking & Financial Markets
– Programming for Finance: Python & SQL
– Data Analysis & Visualization in Finance
– Mathematics for Finance: Probability & Statistics

SEMESTER 2
– Digital Payments & Blockchain Fundamentals
– Cryptocurrency & Tokenomics
– Financial Modelling & Risk Management
– Regulatory Compliance & FinTech Ethics
– Mini Project: Financial Data Analysis

YEAR 2
SEMESTER 3
– Advanced Blockchain & Smart Contracts
– AI & Machine Learning in FinTech
– Algorithmic Trading & Quantitative Finance
– Cybersecurity in Financial Systems
– Project: FinTech Prototype Development

SEMESTER 4
– Digital Banking & Open Banking APIs
– Robo-Advisors & Wealth Management Applications
– FinTech Entrepreneurship & Startup Ecosystem
– Capstone Project: Full-Fledged FinTech Solution
– Industry Case Studies & Emerging Trends

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1-YEAR DIPLOMA IN FINTECH
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SEMESTER 1
– Introduction to FinTech & Financial Systems
– Python & SQL for Finance
– Digital Payments & Blockchain Basics
– Financial Modelling & Risk Analysis

SEMESTER 2
– AI & Machine Learning Applications in Finance
– Cryptocurrency & Smart Contracts
– FinTech Project: Prototype Development
– Regulatory & Ethical Considerations

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6-MONTH CERTIFICATE COURSE IN FINTECH
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MONTH 1-2
– Introduction to FinTech & Financial Systems
– Python for Finance & Data Analysis
– Basics of Blockchain & Digital Payments

MONTH 3-4
– Cryptocurrency Fundamentals
– AI & Machine Learning Applications in Finance
– Mini Project: Data-Driven Financial Analysis

MONTH 5-6
– Regulatory & Compliance Basics
– FinTech Entrepreneurship Overview
– Final Project: Simple FinTech Solution

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3-MONTH SHORT COURSE IN FINTECH
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MONTH 1
– Introduction to FinTech & Digital Banking
– Python Basics for Financial Applications
– Financial Data & Analytics Fundamentals

MONTH 2
– Blockchain & Cryptocurrency Basics
– AI & ML Applications in Finance
– Mini Project: Financial Data Analysis

MONTH 3
– Regulatory, Security & Ethical Considerations
– Overview of FinTech Startups & Emerging Trends
– Final Mini Project: Prototype FinTech Application

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SPACE SCIENCE CURRICULUM
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2-YEAR ADVANCED DIPLOMA IN SPACE SCIENCE
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YEAR 1
SEMESTER 1
– Introduction to Space Science & Astronomy
– Physics for Space Science: Mechanics & Thermodynamics
– Mathematics for Space Applications
– Earth and Planetary Science Basics
– Python for Space Data Analysis

SEMESTER 2
– Space Observation Techniques
– Orbital Mechanics & Satellite Dynamics
– Astrophysics Fundamentals
– Remote Sensing & Space Imaging
– Mini Project: Observational Data Analysis

YEAR 2
SEMESTER 3
– Advanced Astrophysics & Cosmology
– Space Instrumentation & Sensors
– Space Mission Design & Planning
– Satellite Communication Systems
– Project: Space Science Simulation

SEMESTER 4
– Space Weather & Magnetosphere Studies
– Planetary Exploration & Robotics
– Space Science Data Analytics
– Capstone Project: End-to-End Space Mission Design
– Emerging Trends in Space Science & Industry Applications

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1-YEAR DIPLOMA IN SPACE SCIENCE
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SEMESTER 1
– Introduction to Space Science & Astronomy
– Physics & Mathematics for Space Applications
– Earth & Planetary Science Basics
– Python for Space Data Analysis

SEMESTER 2
– Orbital Mechanics & Satellite Dynamics
– Astrophysics Fundamentals
– Remote Sensing & Imaging Techniques
– Project: Space Observation Analysis

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6-MONTH CERTIFICATE COURSE IN SPACE SCIENCE
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MONTH 1-2
– Introduction to Space Science & Astronomy
– Basics of Physics & Mathematics for Space
– Python for Space Data Handling

MONTH 3-4
– Orbital Mechanics & Satellite Basics
– Remote Sensing & Imaging Techniques
– Mini Project: Satellite Data Analysis

MONTH 5-6
– Astrophysics Fundamentals
– Space Mission Basics
– Final Project: Space Science Simulation

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3-MONTH SHORT COURSE IN SPACE SCIENCE
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MONTH 1
– Overview of Space Science & Astronomy
– Basics of Physics for Space Applications
– Python Basics for Space Data

MONTH 2
– Orbital Mechanics & Satellite Fundamentals
– Remote Sensing & Imaging Basics
– Mini Project: Observational Data

MONTH 3
– Introduction to Astrophysics & Cosmology
– Space Mission Overview & Applications
– Final Mini Project: Simple Space Simulation

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DEVOPS CURRICULUM
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2-YEAR ADVANCED DIPLOMA IN DEVOPS
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YEAR 1
SEMESTER 1
– Introduction to DevOps & Software Development Lifecycle
– Linux Fundamentals & Shell Scripting
– Version Control with Git & GitHub
– Python/Perl Basics for Automation
– Introduction to Cloud Platforms (AWS, Azure, GCP)

SEMESTER 2
– Continuous Integration (CI) Concepts
– Jenkins & CI Pipeline Setup
– Containerization with Docker
– Configuration Management: Ansible/Chef/Puppet
– Mini Project: Automate Build & Deployment

YEAR 2
SEMESTER 3
– Kubernetes & Container Orchestration
– Continuous Deployment (CD) & Monitoring
– Infrastructure as Code (IaC) with Terraform
– Logging & Monitoring Tools (Prometheus, Grafana)
– Project: Full DevOps Pipeline Implementation

SEMESTER 4
– Advanced Cloud DevOps Practices
– Security in DevOps (DevSecOps)
– Site Reliability Engineering (SRE) Concepts
– Capstone Project: End-to-End DevOps System
– Industry Case Studies & Emerging Trends

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1-YEAR DIPLOMA IN DEVOPS
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SEMESTER 1
– Introduction to DevOps & SDLC
– Linux & Shell Scripting Basics
– Version Control with Git
– Introduction to Cloud Computing

SEMESTER 2
– CI/CD Pipeline Concepts
– Docker & Containerization
– Configuration Management Tools
– Mini Project: Build Automation

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6-MONTH CERTIFICATE COURSE IN DEVOPS
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MONTH 1-2
– Introduction to DevOps & Cloud Platforms
– Linux Fundamentals & Scripting
– Version Control with Git

MONTH 3-4
– Docker & Container Basics
– CI/CD Concepts with Jenkins
– Mini Project: Automation Pipeline

MONTH 5-6
– Monitoring & Logging Fundamentals
– Basic Infrastructure as Code (Terraform)
– Final Project: Simple DevOps Pipeline

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3-MONTH SHORT COURSE IN DEVOPS
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MONTH 1
– Introduction to DevOps & SDLC
– Linux Basics & Shell Scripting
– Git & Version Control

MONTH 2
– Docker & Containerization
– CI/CD Overview
– Mini Project: Container Deployment

MONTH 3
– Cloud Platform Overview
– Monitoring & Logging Basics
– Final Mini Project: End-to-End DevOps Concept

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FULL-STACK DEVELOPMENT CURRICULUM
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2-YEAR ADVANCED DIPLOMA IN FULL-STACK DEVELOPMENT
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YEAR 1
SEMESTER 1
– Introduction to Web Development
– HTML, CSS, and JavaScript Fundamentals
– Responsive Web Design
– Git & Version Control
– Python/Node.js Basics for Backend

SEMESTER 2
– Advanced JavaScript & ES6 Features
– Frontend Frameworks: React.js or Angular
– Backend Development: Node.js & Express
– Database Fundamentals: SQL & NoSQL
– Mini Project: Full-Stack Web App (Frontend + Backend)

YEAR 2
SEMESTER 3
– Advanced Backend Development & APIs
– Authentication & Security in Web Apps
– Deployment & Cloud Hosting
– Testing & Debugging Full-Stack Applications
– Project: Real-World Full-Stack Application

SEMESTER 4
– Advanced Frontend Frameworks & State Management
– Progressive Web Apps (PWA) & Mobile-Friendly Design
– DevOps for Full-Stack Deployment
– Capstone Project: End-to-End Full-Stack Solution
– Industry Case Studies & Emerging Trends

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1-YEAR DIPLOMA IN FULL-STACK DEVELOPMENT
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SEMESTER 1
– HTML, CSS, JavaScript Fundamentals
– Python/Node.js for Backend
– Git & Version Control
– Basic Database Management (SQL/NoSQL)

SEMESTER 2
– Frontend Frameworks (React.js / Angular)
– Backend APIs & Express.js
– Mini Project: Full-Stack Web Application
– Deployment Basics

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6-MONTH CERTIFICATE COURSE IN FULL-STACK DEVELOPMENT
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MONTH 1-2
– HTML, CSS, JavaScript Basics
– Python/Node.js for Backend
– Git & Version Control

MONTH 3-4
– Frontend Framework Introduction (React.js / Angular)
– Backend APIs with Node.js
– Mini Project: Full-Stack App Prototype

MONTH 5-6
– Database Integration (SQL/NoSQL)
– Deployment & Hosting Basics
– Final Project: Complete Full-Stack Application

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3-MONTH SHORT COURSE IN FULL-STACK DEVELOPMENT
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MONTH 1
– HTML, CSS, JavaScript Fundamentals
– Git & Version Control
– Python/Node.js Basics

MONTH 2
– Frontend Framework Overview
– Backend APIs & Database Basics
– Mini Project: Web App Prototype

MONTH 3
– Deployment & Hosting Basics
– Full-Stack Mini Project
– Overview of Industry Applications & Trends

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QUANTUM MEDICINE CURRICULUM
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2-YEAR ADVANCED DIPLOMA IN QUANTUM MEDICINE
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YEAR 1
SEMESTER 1
– Introduction to Quantum Medicine
– Quantum Physics Fundamentals for Medicine
– Human Anatomy & Physiology
– Biochemistry Basics
– Python/Mathematics for Quantum Modeling

SEMESTER 2
– Molecular & Cellular Quantum Biology
– Quantum Effects in Biological Systems
– Bioinformatics & Computational Biology Basics
– Medical Imaging Fundamentals
– Mini Project: Quantum Simulation of Biological Systems

YEAR 2
SEMESTER 3
– Quantum Diagnostics & Imaging Technologies
– Quantum Therapeutics & Drug Design
– Quantum Sensors in Medicine
– AI & Machine Learning for Quantum Medicine
– Project: Simulation of Quantum Medical Processes

SEMESTER 4
– Personalized Medicine & Quantum Approaches
– Clinical Applications & Case Studies
– Ethics, Safety & Regulatory Considerations
– Capstone Project: End-to-End Quantum Medicine Solution
– Industry Applications & Future Trends

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1-YEAR DIPLOMA IN QUANTUM MEDICINE
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SEMESTER 1
– Introduction to Quantum Medicine
– Human Anatomy & Physiology
– Quantum Physics Basics for Biology
– Bioinformatics & Computational Tools

SEMESTER 2
– Quantum Diagnostics & Imaging
– Quantum Therapeutics Concepts
– Mini Project: Quantum Simulation
– Ethics & Safety in Quantum Medicine

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6-MONTH CERTIFICATE COURSE IN QUANTUM MEDICINE
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MONTH 1-2
– Introduction to Quantum Medicine
– Quantum Physics for Biological Systems
– Basic Human Anatomy & Physiology

MONTH 3-4
– Quantum Diagnostics & Imaging Techniques
– Bioinformatics & Data Analysis
– Mini Project: Quantum Simulation

MONTH 5-6
– Quantum Therapeutics & Drug Design Concepts
– Clinical Applications Overview
– Final Project: Simulation of Quantum Medical Process

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3-MONTH SHORT COURSE IN QUANTUM MEDICINE
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MONTH 1
– Introduction to Quantum Medicine & Concepts
– Quantum Physics Fundamentals
– Human Anatomy & Physiology Basics

MONTH 2
– Quantum Diagnostics & Imaging Overview
– Bioinformatics Basics
– Mini Project: Simple Quantum Simulation

MONTH 3
– Quantum Therapeutics & Clinical Applications
– Ethics & Safety Considerations
– Final Mini Project: Quantum Medicine Simulation

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BLOCKCHAIN & CRYPTOGRAPHY CURRICULUM
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2-YEAR ADVANCED DIPLOMA IN BLOCKCHAIN & CRYPTOGRAPHY
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YEAR 1
SEMESTER 1
– Introduction to Blockchain & Cryptography
– Fundamentals of Distributed Ledger Technology (DLT)
– Mathematics for Cryptography: Number Theory & Algebra
– Programming Basics for Blockchain (Python / Solidity)
– Overview of Cryptocurrencies

SEMESTER 2
– Blockchain Architecture & Consensus Mechanisms
– Public Key Infrastructure (PKI) & Cryptographic Protocols
– Hash Functions, Digital Signatures & Encryption
– Smart Contracts Development
– Mini Project: Basic Blockchain Application

YEAR 2
SEMESTER 3
– Advanced Cryptography: Symmetric & Asymmetric Techniques
– Blockchain Security & Auditing
– Decentralized Applications (DApps) Development
– Blockchain Interoperability & Scaling Solutions
– Project: End-to-End Blockchain Application

SEMESTER 4
– Cryptography for FinTech & Digital Assets
– Blockchain in Supply Chain, Healthcare, and IoT
– Privacy & Zero-Knowledge Proofs
– Capstone Project: Real-World Blockchain System
– Industry Case Studies & Emerging Trends

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1-YEAR DIPLOMA IN BLOCKCHAIN & CRYPTOGRAPHY
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SEMESTER 1
– Introduction to Blockchain & Cryptography
– Cryptography Basics: Symmetric & Asymmetric
– Programming for Blockchain: Python / Solidity
– Blockchain Architecture & Consensus

SEMESTER 2
– Smart Contracts Development
– DApps Fundamentals
– Mini Project: Blockchain Application
– Blockchain Security & Ethics

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6-MONTH CERTIFICATE COURSE IN BLOCKCHAIN & CRYPTOGRAPHY
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MONTH 1-2
– Introduction to Blockchain & Cryptography
– Cryptography Basics: Encryption & Digital Signatures
– Python / Solidity Basics for Blockchain

MONTH 3-4
– Blockchain Architecture & Consensus
– Smart Contracts Fundamentals
– Mini Project: Blockchain Prototype

MONTH 5-6
– DApps Overview & Security Basics
– Privacy & Zero-Knowledge Proof Concepts
– Final Project: Simple Blockchain Application

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3-MONTH SHORT COURSE IN BLOCKCHAIN & CRYPTOGRAPHY
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MONTH 1
– Introduction to Blockchain & Cryptography
– Cryptography Basics: Symmetric & Asymmetric Techniques
– Blockchain Fundamentals Overview

MONTH 2
– Smart Contracts Introduction
– DApps Basics
– Mini Project: Blockchain Prototype

MONTH 3
– Blockchain Security & Privacy Overview
– Emerging Applications in FinTech & Industry
– Final Mini Project: Blockchain Demo Application