Advanced Master Program in Artificial Intelligence & Machine Learning
AI
- Module 1: Overview of AI Concepts
- Module 2: Types of AI
- Module 3: Antiquity & Evolution of AI
- Module 4: AI Agents
- Module 5: AI Algorithms
- Module 6: Cognitive AI
- Module 7: Statistics for AI
- Module 8: Probability for AI
- Module 9: Mathematics for AI
- Module 10: Optimization
Python Programming for AI
- Module 11: Python for AI
- Module 12: Data Types
- Module 13: Lists, Tuples, Dicts, Sets
- Module 14: Iterators & Generators
- Module 15: Control Flow
- Module 16: Functions
- Module 17: OOP Concepts
- Module 18: File Handling
- Module 19: Python Modules & Packages
- Module 20: Error Handling
- Module 21: Virtual Environments
- Module 22: Python Libraries (NumPy, Pandas, Matplotlib)
- Module 23: TensorFlow Essentials
- Module 24: PyTorch Essentials
- Module 25: Scikit-learn for ML
- Module 26: Python Automation with AI
Data Handling & Preprocessing
- Module 27: Data Acquisition Techniques
- Module 28: Data Cleaning
- Module 29: Feature Engineering
- Module 30: Handling Missing Data
- Module 31: Data Scaling & Normalization
- Module 32: Encoding Techniques
- Module 33: Time Series Analysis
- Module 34: Outlier Detection
- Module 35: Feature Selection
- Module 36: Data Pipelines
- Module 37: Exploratory Data Analysis (EDA)
- Module 38: Real-Time Data Processing
Machine Learning Fundamentals
- Module 39: ML
- Module 40: Supervised Learning
- Module 41: Unsupervised Learning
- Module 42: Reinforcement Learning
- Module 43: ML Evaluation Metrics
- Module 44: Cross Validation Techniques
- Module 45: Bias-Variance Tradeoff
- Module 46: Dimensionality Reduction
- Module 47: Feature Importance
Advanced Machine Learning
- Module 48: Ensemble Learning
- Module 49: Random Forest
- Module 50: Gradient Boosting
- Module 51: Support Vector Machines
- Module 52: AutoML
- Module 53: Hyperparameter Tuning (Grid, Random, Bayesian)
- Module 54: Model Optimization
- Module 55: Transfer Learning
- Module 56: Active Learning
- Module 57: Meta-Learning
- Module 58: Explainable AI
- Module 59: Adversarial Machine Learning
Deep Learning
- Module 60: Neural Network Basics
- Module 61: Convolutional Neural Networks (CNNs)
- Module 62: Recurrent Neural Networks (RNNs)
- Module 63: LSTMs & GRUs
- Module 64: GANs
- Module 65: Autoencoders
- Module 66: Attention Mechanisms
- Module 67: Transformer Networks
- Module 68: BERT
- Module 69: GPT Architecture
- Module 70: Vision Transformers (ViT)
- Module 71: Self-Supervised Learning
- Module 72: Diffusion Models
- Module 73: Foundation Models
Natural Language Processing (NLP)
- Module 74: NLP
- Module 75: Text Preprocessing
- Module 76: Word Embeddings
- Module 77: Language Modeling
- Module 78: Semantic Analysis
- Module 79: Chatbots
- Module 80: Conversational AI
- Module 81: Text Generation
- Module 82: Text Summarization
- Module 83: Machine Translation
- Module 84: Named Entity Recognition
- Module 85: Speech Recognition
- Module 86: Question-Answering Systems
- Module 87: LLM Fine-Tuning and Prompting
Reinforcement Learning (RL)
- Module 88: RL
- Module 89: Markov Decision Processes
- Module 90: Q-Learning
- Module 91: Deep Q-Networks
- Module 92: Policy Gradients
- Module 93: Actor-Critic Methods
- Module 94: Multi-Agent RL
Computer Vision
- Module 95: Intro to Computer Vision
- Module 96: CNN-Based Classification
- Module 97: Object Detection (YOLO, SSD)
- Module 98: Image Segmentation (U-Net)
- Module 99: Face Recognition
- Module 100: OCR & Document AI
- Module 101: GAN Applications
- Module 102: 3D Vision
- Module 103: Video Analytics
Generative AI (Gen AI)
- Module 104: Generative AI
- Module 105: Prompt Engineering
- Module 106: Text-to-Image (Stable Diffusion)
- Module 107: Text-to-Video AI
- Module 108: AI Code Generation
- Module 109: AI-enabled App Builders
- Module 110: Voice AI & Speech Synthesis
- Module 111: AI Avatar Systems
- Module 112: Fine-Tuning LLMs
- Module 113: RAG (Retrieval-Augmented Generation)
- Module 114: Enterprise AI Systems
AI Ethics & Responsible AI
- Module 115: Ethical Implications
- Module 116: Bias & Fairness
- Module 117: Privacy & Security
- Module 118: AI Governance
- Module 119: Transparent AI Systems
Cloud, Deployment & MLOps
- Module 120: AI on AWS
- Module 121: AWS Cloud Fundamentals for AI & Machine Learning
- Module 122: Machine Learning Model Development using Amazon
- Module 123: AI Application Deployment using AWS Services
Professional Training and Career Development Programs
- Technical Resume
- Soft Skills Development
- Personality Skills Development
- Technical Projects
- Technical Mock Interview
- Industrial Project
- Placement Training
- Internship
- Certification
Advanced Master Program in AI-Integrated Data Science and Data Analytics with Machine Learning (Python + R)
Data Science and Analytics
- Module 1: Overview of Data Science & Analytics
- Module 2: Data Science Lifecycle
- Module 3: Real-world Applications
- Module 4: Cloud Computing for Data Science
- Module 5: Data Science vs Data Analytics vs BI
- Module 6: Understanding Data Pipelines
- Module 7: Tools Overview – Python, R, SQL, Tableau, Power BI
Python & R Foundations for Data Science
Python Modules
- Module 8: Python & Environment Setup
- Module 9: Data Types & Variables
- Module 10: Control Flow – Conditional Statements & Loops
- Module 11: Functions, Lambda Expressions & Modules
- Module 12: Iterators & Generators
- Module 13: Object-Oriented Programming
- Module 14: File Handling
- Module 15: Virtual Environments & Package Management
R Modules
- Module 16: R Programming & RStudio Environment Setup
- Module 17: Data Types in R – Vectors, Lists, Matrices & Data Frames
- Module 18: Control Flow Statements in R
- Module 19: Iteration Statements in R
- Module 20: Functions in R
- Module 21: Working with R Packages & Libraries
- Module 22: Reading & Writing Data in R
Data Manipulation & Preprocessing
- Module 23: NumPy for Numerical Computing (Python)
- Module 24: Pandas for Data Manipulation (Python)
- Module 25: Data Manipulation using dplyr & tidyr (R)
- Module 26: Handling Missing Data & Duplicates
- Module 27: Data Cleaning & Outlier Detection
- Module 28: Handling Large Datasets
- Module 29: Feature Engineering
- Module 30: Data Scaling & Normalization
- Module 31: Feature Selection Techniques
- Module 32: Handling Imbalanced Datasets – SMOTE, Undersampling
Statistics & Probability for Data Science
- Module 33: Descriptive Statistics
- Module 34: Inferential Statistics
- Module 35: Probability Theory & Random Variables
- Module 36: Probability Distributions
- Module 37: Hypothesis Testing
- Module 38: Correlation & Covariance
- Module 39: Bayesian Statistics & ML Applications
- Module 40: Linear Algebra for ML
- Module 41: Calculus for Optimization
Data Visualization
Python
- Module 42: Data Visualization with Matplotlib
- Module 43: Advanced Visualization with Seaborn
R
- Module 44: Data Visualization using ggplot2
- Module 45: Interactive Dashboards with Shiny
BI Tools
- Module 46: Tableau – Dashboards & Storytelling
- Module 47: Tableau Advanced Dashboards
- Module 48: Power BI Essentials – Reports
- Module 49: Power BI Advanced Data Modeling
Exploratory Data Analysis (EDA)
- Module 50: EDA Workflow & Summary Techniques
- Module 51: Pattern, Trend & Anomaly Detection
- Module 52: Automated EDA – SweetViz, Pandas Profiling, Autoviz
- Module 53: EDA using R – summary(), skimr, corrplot, DataExplorer
Machine Learning
- Module 54: Machine Learning Concepts & Workflow
- Module 55: Learning Approaches – Supervised, Unsupervised
- Module 56: MLOps Fundamentals
- Module 57: Overfitting vs Underfitting
- Module 58: Cross Validation Techniques
Evaluation Metrics
- Module 59: Classification Metrics
- Module 60: Regression Metrics
- Module 61: AUC-ROC & Precision-Recall
Supervised Machine Learning
- Module 62: Linear Regression – scikit-learn (Python) | lm() (R)
- Module 63: Logistic Regression – sklearn (Python) | glm() (R)
- Module 64: K-Nearest Neighbors
- Module 65: Decision Trees
- Module 66: Random Forest
- Module 67: Ensemble Methods
- Module 68: Polynomial Regression
- Module 69: Naïve Bayes
- Module 70: Support Vector Machines
Unsupervised Machine Learning
- Module 71: Clustering Techniques
- Module 72: Dimensionality Reduction
- Module 73: Association Rule Mining
- Module 74: Anomaly Detection Techniques
AutoML & Model Optimization
- Module 75: Automated Machine Learning
- Module 76:Tpot – Model Selection & Evaluation (Python)
- Module 77: AutoML in R – H2O.ai & Tpot
- Module 78: Hyperparameter Tuning – GridSearchCV, Optuna, Random Search
Deep Learning
- Module 79: Neural Network Fundamentals
- Module 80: Deep Learning using TensorFlow & Keras (Python)
- Module 81: Deep Learning in R using Keras & TensorFlow Libraries
- Module 82: CNN Models – Image Projects
- Module 83: RNN & LSTM – Sequence Models
Natural Language Processing (NLP)
- Module 84: NLP – Text Preprocessing & Tokenization
- Module 85: Stemming, Lemmatization & Stopword Removal
- Module 86: Text Classification & Vectorization
- Module 87: Text Clustering & Topic Modeling
- Module 88: Sentiment Analysis & Opinion Mining
- Module 89: NLP Use Cases
- Module 90: Generative AI & LLMs
SQL & Databases
- Module 91: Relational Database Management
- Module 92: CRUD Operations
- Module 93: Grouping & Aggregation
- Module 94: Subqueries & Joins
Big Data & Cloud Data Engineering
- Module 95: Big Data Ecosystem – Hadoop, Spark, Kafka
- Module 96: Data Pipelines & ETL – Airflow, AWS Glue
- Module 97: Cloud Platforms – AWS S3, GCP BigQuery, Azure Data Factory
- Module 98: Connecting Python & R to Cloud Databases
- Module 99: Scalable ML with Spark MLlib
MongoDB
- Module 100: MongoDB Preface
- Module 101: NoSQL vs SQL
- Module 102: MongoDB System Topology
- Module 103: CRUD Operations in MongoDB
Generative AI Foundations
- Module 104: Generative AI & LLM Concepts
- Module 105: Prompt Engineering & AI Interaction Design
- Module 106: Transformer Models & Embeddings Basics
- Module 107: AI Ethics, Safety & Responsible AI
Applied Generative AI for Data Analytics
- Module 108: Gen-AI for Data Cleaning & Feature Generation
- Module 109: AI-Driven Exploratory Data Analysis (Auto Insights)
- Module 110: Natural Language to SQL & Data Query Generation
- Module 111: Automated Reporting & Insight Summarization
Enterprise Gen-AI Development
- Module 112: Building Chatbots for Business Analytics
- Module 113: Fine-Tuning LLMs with Domain Data
- Module 114: Retrieval-Augmented Generation (RAG) Systems
- Module 115: Gen-AI Application Deployment & Monitoring
Professional Training and Career Development Programs
- Technical Resume
- Soft Skills Development
- Personality Skills Development
- Technical Projects
- Technical Mock Interview
- Industrial Project
- Placement Training
- Internship
- Certification
Advanced Master Program in Next-Gen AI Integrated Python Full stack Web Development
Python Core & Advanced Programming
- Module 1: Python Fundamentals: Syntax, Data Types, Control Flow
- Module 2: Object-Oriented Programming: Classes, Inheritance, Polymorphism
- Module 3: Functional Programming: Lambda, Map, Filter, Reduce
- Module 4: Python Standard Library: Modules, Packages
- Module 5: Data Structures: Lists, Tuples, Dict, Sets, Frozensets
- Module 6: File Handling & Exception Handling
- Module 7: Advanced Python Concepts: Decorators, Generators
- Module 8: Multithreading & Multiprocessing
- Module 9: Asynchronous Programming with AsyncIO
- Module 10: Working with Virtual Environments & Package Managers (pip, venv, pipenv)
Front-End Development
- Module 11: HTML5: Structure, Semantic Elements
- Module 12: CSS3: Flexbox, Grid, Responsive Design
- Module 13: JavaScript Fundamentals
- Module 14: DOM Manipulation & Events
- Module 15: ES6+ Features
- Module 16: Fetch API, HTTP/HTTPS Client
- Module 17: React.js : Components, Props, State
- Module 18: JSX & Virtual DOM
- Module 19: React Lifecycle Methods
- Module 20: React State Management: Context API
- Module 21: React Routing: Navigation & Dynamic Routing
- Module 22: Redux for Large State Management
- Module 23: UI Frameworks: TailwindCSS
Backend Development with Python
- Module 24: Advanced Python for Backend
- Module 25: Flask Framework: Web Application Development
- Module 26: Flask Blueprints & Jinja Templates
- Module 27: RESTful API Development with Flask
- Module 28: Django Fundamentals
- Module 29: Django Models, Views, Templates
- Module 30: Django ORM in Depth
- Module 31: Django REST Framework (DRF)
- Module 32: Authentication: JWT, OAuth2
- Module 33: WebSockets and Real-Time Apps
Database Systems
- Module 34: SQL Fundamentals
- Module 35: PostgreSQL (Advanced Queries, Joins, Indexing)
- Module 36: MongoDB (CRUD, Aggregation Pipeline)
- Module 37: Redis: Caching and Session Management
DevOps & Deployment
- Module 38: Git & GitHub: Version Control
- Module 39: Docker for Full Stack Applications
- Module 40: CI/CD Pipelines
- Module 41: Deployment on Cloud Platforms
- Module 42: Serverless Deployment (AWS Lambda + API Gateway)
Machine Learning & Data
- Module 43: Data Handling: NumPy, Pandas
- Module 44: Machine Learning Overview
- Module 45: Model Deployment with Flask/Django
Generative AI Integration
- Module 46: Building Apps with OpenAI APIs
- Module 47: AI-Powered Automation: Python + GenAI
- Module 48: Integrating AI in Full Stack Projects (React + Python)
Professional Training and Career Development Programs
- Technical Resume
- Soft Skills Development
- Personality Skills Development
- Technical Projects
- Technical Mock Interview
- Industrial Project
- Placement Training
- Internship
- Certification
Advanced Master Program in Next-Gen AI Integrated Java Full stack Web Development
FRONT-END DEVELOPMENT
FRONT-END DEVELOPMENT
- Module 1: HTML5 & CSS3
- Module 2: HTML Elements & Semantic Tags
- Module 3: Forms & Input Types
- Module 4: Styling with CSS3
- Module 5: Responsive Design Principles
- Module 6: Flexbox
- Module 7: Grid Layout
- Module 8: Media Queries
Bootstrap 5
- Module 9: Grid System
- Module 10: Components
- Module 11: Utility Classes
- Module 12: Customization
JAVASCRIPT FUNDAMENTALS
- Module 13: Variables & Data Types
- Module 14: Operators
- Module 15: Conditionals & Loops
- Module 16: Functions & Scope
- Module 17: DOM Manipulation
- Module 18: Events
- Module 19: ES6+ Features
- Module 20: Asynchronous JavaScript – Promises
- Module 21: Async / Await
- Module 22: Hoisting
- Module 23: Error Handling
- Module 24: Fetch API
Advanced JavaScript
- Module 25: Arrays & Methods
- Module 26: Objects & Prototypes
- Module 27: Closures
- Module 28: Call, Apply, Bind
- Module 29: Event Loop
- Module 30: Web Storage API (LocalStorage / SessionStorage)
TYPESCRIPT
Core TypeScript
- Module 31: TypeScript Introduction
- Module 32: Primitive Types
- Module 33: Arrays, Tuples & Enums
- Module 34: Interfaces
- Module 35: Type Aliases
- Module 36: Classes & Inheritance
- Module 37: Functions & Optional Parameters
Advanced TypeScript
- Module 38: Type Guards
- Module 39: Generics
- Module 40: Utility Types
- Module 41: Decorators
- Module 42: Conditional Types
- Module 43: Namespaces & Modules
ANGULAR DEVELOPMENT
Angular Fundamentals
- Module 44: Angular Introduction
- Module 45: Angular CLI
- Module 46: Components & Templates
- Module 47: Data Binding
- Module 48: Directives
- Module 49: Pipes
- Module 50: Services & Dependency Injection
- Module 51: Routing & Navigation
Angular Advanced
- Module 52: Reactive Forms
- Module 53: Template-Driven Forms
- Module 54: Form Validation
- Module 55: Observables & RxJS
- Module 56: Angular Material
- Module 57: State Management (NgRx)
- Module 58: Authentication with JWT
- Module 59: Performance Optimization
JAVA FUNDAMENTALS
- Module 60: Core Concepts of Java
- Module 61: Evolution of Java
- Module 62: Java Specifications & Editions (SE, EE, ME)
- Module 63: JVM Architecture – Compiler & Interpreter Flow
- Module 64: Differences Between C, C++ & Java
- Module 65: Advantages & Real-World Applications of Java
CORE JAVA
Data Types & Operators
- Module 66: Data Types in Java
- Module 67: Variable Declaration & Initialization
- Module 68: Type Casting
- Module 69: Operators
Control Flow
- Module 70: Conditional Statements (if, switch)
- Module 71: Looping Statements (for, while, do-while)
Methods, Classes & Objects
- Module 72: Methods & Return Types
- Module 73: Static vs Non-Static Members
- Module 74: Class Structure
- Module 75: Object Creation & Memory Model
- Module 76: Constructors & Method Overloading
- Module 77: Arrays & User Input Handling
OOPS CONCEPTS
- Module 78: OOPS Principles
- Module 79: Encapsulation
- Module 80: Inheritance
- Module 81: Polymorphism
- Module 82: Abstraction
ADVANCED JAVA
Collections
- Module 83: List, Set & Map Interfaces
- Module 84: ArrayList & LinkedList
- Module 85: HashSet & TreeSet
- Module 86: HashMap & TreeMap
- Module 87: Iterators & Enhanced Loops
Streams & Functional Programming
- Module 88: Java Streams
- Module 89: Stream Operations
- Module 90: Functional Interfaces
- Module 91: Lambda Expressions
File Handling
- Module 92: Byte & Character Streams
- Module 93: Text & Binary Files
- Module 94: Serialization & Deserialization
Exception Handling
- Module 95: Error Types
- Module 96: try-catch-finally
- Module 97: throw & throws
- Module 98: Custom Exceptions
Design Patterns
- Module 99: MVC Pattern
- Module 100: Singleton Pattern
- Module 101: Factory Pattern
- Module 102: DAO Pattern
Multithreading
- Module 103: Thread Class & Runnable Interface
- Module 104: Thread Life Cycle
- Module 105: Synchronization
- Module 106: Inter-Thread Communication
JDBC
- Module 107: JDBC Architecture
- Module 108: Database Connectivity
- Module 109: SQL Execution
- Module 110: Prepared Statements & ResultSet
PRACTICE
- Module 111: Pattern Programs
- Module 112: Algorithm Logic & Pseudocode
DATABASE DEVELOPMENT
SQL Fundamentals
- Module 113: Data Types & Constraints
- Module 114: Operators
- Module 115: DDL, DML, DQL, TCL & DCL
- Module 116: Joins
- Module 117: Subqueries
- Module 118: Aggregate Functions
Advanced SQL
- Module 119: Views
- Module 120: Stored Procedures
- Module 121: Triggers
- Module 122: CRUD with MySQL
Database Administration
- Module 123: Backup & Recovery
- Module 124: Security
- Module 125: Indexing & Performance Tuning
NoSQL
- Module 126: Cassandra & MongoDB
GEN-AI ENHANCED FRONT-END DEVELOPMENT
- Module 127: AI-Assisted UI Design with HTML5 & CSS3
- Module 128: Smart UI Generation using Prompt Engineering
- Module 129: Responsive Web Layouts with AI Optimization
- Module 130: AI Code Autocomplete for JavaScript & React
- Module 131: UI Testing & Debugging using AI Tools
GEN-AI DRIVEN BACK-END & API DEVELOPMENT
- Module 132: AI-Supported Java Core & Spring Boot Development
- Module 133: REST API Generation using AI Tools
- Module 134: Intelligent Database Design
- Module 135: AI-Based Code Refactoring & Performance Optimization
- Module 136: Automated API Testing & Validation using Gen-AI
GEN-AI INTEGRATION, DEPLOYMENT & AUTOMATION
- Module 137: Full-Stack Application Generation using AI Assistants
- Module 138: AI-Enabled DevOps (CI/CD Automation)
- Module 139: Chatbot & AI Feature Integration in Java Applications
- Module 140: AI-Assisted Cloud Deployment & Monitoring
- Module 141: AI-Powered Security Testing & Compliance Validation
Professional Training and Career Development Programs
- Technical Resume
- Soft Skills Development
- Personality Skills Development
- Technical Projects
- Technical Mock Interview
- Industrial Project
- Placement Training
- Internship
- Certification
Advanced Master Program in AI-Powered Web Development
Frontend Development
- Module 1: HTML Fundamentals
- Module 2: HTML5 Semantic Elements
- Module 3: CSS Fundamentals
- Module 4: CSS Frameworks (Bootstrap / Tailwind
- Module 5: Responsive Web Design
- Module 6: JavaScript (Syntax, Variables, Operators)
- Module 7: JS Functions & Scope
- Module 8: JS Arrays, Objects & Loops
- Module 9: JS Forms & Validation
- Module 10: DOM Manipulation
- Module 11: Events & Event Handling
- Module 12: jQuery Functions & Overview
- Module 13: String & Array Manipulation Techniques
- Module 14: Fetch API & Promises
- Module 15: ES6+ Advanced Concepts
- Module 16: Browser Storage (LocalStorage, SessionStorage)
Frontend Frameworks
- Module 17: React JS Fundamentals
- Module 18: React Hooks (useState, useEffect, useContext)
- Module 19: React Routing
- Module 20: State Management (Redux / Zustand / Context API)
- Module 21: UI Component Libraries (Material UI / Ant Design)
- Module 22: Next.js Overview
- Module 23: Next.js File-based Routing
- Module 24: Next.js Server-side Rendering (SSR)
- Module 25: Next.js API Routes
- Module 26: Next.js Authentication
- Module 27: Styling in React/Next.js
API Development
- Module 28: AJAX & Fetch API
- Module 29: REST API Fundamentals
- Module 30: HTTP Client (Axios)
- Module 31: API Authentication (JWT, OAuth)
- Module 32: Error Handling & Interceptors
Backend Development
- Module 33: Node.js Fundamentals
- Module 34: Node.js Modules & File System
- Module 35: NPM & Package Management
- Module 36: Express.js Fundamentals
- Module 37: Express Routing & Middleware
- Module 38: Building REST APIs with Express
- Module 39: API Authentication with JWT
- Module 40: Role-based Access Control
- Module 41: Error Handling & Logging
- Module 42: File Uploads
- Module 43: Backend Security Essentials
Databases
- Module 44: MongoDB Basics
- Module 45: Mongoose ORM
- Module 46: MongoDB Aggregation & Indexing
- Module 47: MySQL Fundamentals
- Module 48: Joins, Procedures, Views
- Module 49: Database Design & Normalization
- Module 50: Redis (Caching)
GIT & Project Management
- Module 51: Antiquity Git
- Module 52: Git Workflow, Branching, Commands
- Module 53: GitHub
- Module 54: Pull Request Evaluvation
- Module 55: Project Management Tools
Integrating With Generative AI (Gen AI)
- Module 56: Prompt Engineering
- Module 57: Development with ChatGPT APIs
- Module 58: Building AI-powered Web Apps
- Module 59: Prompt Engineering for Developers
- Module 60: Designing UI/UX with META AI
- Module 61: AI Image Generation
- Module 62: AI Assistants & Automation for Web Projects
- Module 63: Integrating Google Gemini API
- Module 64: Building Chatbots using Node + Gen AI Overview
- Module 65: AI-powered Form Validation & Autocomplete
- Module 66: Generating Code using AI Tools (GitHub Copilot)
Professional Training and Career Development Programs
- Technical Resume
- Soft Skills Development
- Personality Skills Development
- Technical Projects
- Technical Mock Interview
- Industrial Project
- Placement Training
- Internship
- Certification
Advanced Master Program in Cloud Computing with AWS, GCP and Azure
Cloud Computing – Core
- Module 1: Cloud Computing
- Module 2: Cloud Service Models (IaaS, PaaS, SaaS)
- Module 3: Cloud Deployment Models
- Module 4: Benefits, Features & Market Trends
Platform Overviews & Accounts
- Module 5: AWS Overview
- Module 6: AWS Account Setup & Billing
- Module 7: GCP Overview
- Module 8: GCP Account Setup
- Module 9: Azure Overview
- Module 10: Azure Account Setup & Billing (Portal, Subscriptions, Pricing)
AWS Cloud
AWS Compute
- Module 11: Amazon EC2 – Launch & Configuration
- Module 12: EC2 Instance Types & Pricing Models
- Module 13: Elastic Load Balancers (ALB, NLB, CLB)
- Module 14: Auto Scaling Groups
- Module 15: AWS Lambda
- Module 16: Elastic Beanstalk
- Module 17: Lightsail Overview
AWS Security & Identity
- Module 18: IAM – Users, Groups, Roles & Policies
- Module 19: Multi-Factor Authentication
- Module 20: AWS Shield
- Module 21: AWS KMS
- Module 22: AWS Secrets Manager
- Module 23: AWS WAF
- Module 24: AWS CloudHSM
AWS Networking
- Module 25: Amazon S3 – Buckets, Classes & Encryption
- Module 26: Versioning, Lifecycle & Replication
- Module 27: Amazon EBS & Snapshots
- Module 28: Amazon EFS
- Module 29: AWS Backup
AWS Storage
- Module 30: VPC (Virtual Private Cloud)
- Module 31: Subnets & Route Tables
- Module 32: Elastic IPs
- Module 33: Route 53
- Module 34: VPC Peering & Transit Gateway
- Module 35: Security Groups & NACLs
- Module 36: VPN & Direct Connect
AWS Databases
- Module 37: DynamoDB
- Module 38: Amazon RDS
- Module 39: Aurora
- Module 40: Redshift
AWS Containers & DevOps
- Module 41: Amazon ECS
- Module 42: Amazon EKS
- Module 43: Container Registry (ECR)
- Module 44: CodeCommit
- Module 45: CodeBuild
- Module 46: CodeDeploy
- Module 47: CodePipeline
AWS Monitoring & Governance
- Module 48: CloudWatch Monitoring
- Module 49: Logs, Metrics & Dashboards
- Module 50: CloudTrail
- Module 51: AWS Config
AWS Architecture
- Module 52: AWS Well-Architected Framework
- Module 53: High Availability Design
- Module 54: Fault Tolerance & Cost Optimization
- Module 55: Disaster Recovery
Microsoft Azure Cloud
Azure Core & Identity
- Module 56: Azure Resource Manager, Regions & Resources
- Module 57: Azure Active Directory (Users, Groups, RBAC)
- Module 58: Azure Pricing Models & Cost Management
- Module 59: Azure Security Center & Compliance Manager
Azure Networking
- Module 60: Virtual Networks (VNets)
- Module 61: Subnets, NSGs & Route Tables
- Module 62: VPN Gateway & ExpressRoute
- Module 63: Azure Load Balancer & Application Gateway
- Module 64: Azure Traffic Manager & DNS
Azure Compute
- Module 65: Azure Virtual Machines
- Module 66: VM Scale Sets & Availability Sets
- Module 67: Azure App Services
- Module 68: Azure Functions (Serverless)
- Module 69: Azure Kubernetes Service (AKS)
Azure Storage
- Module 70: Azure Blob Storage
- Module 71: Azure File Storage & Disk Storage
- Module 72: Storage Security & Encryption
- Module 73: Backup & Disaster Recovery
Azure Databases
- Module 74: Azure SQL Database
- Module 75: Cosmos DB
- Module 76: Azure Database for MySQL/PostgreSQL
Azure DevOps & Monitoring
- Module 77: Azure DevOps – Repos, Pipelines & Boards
- Module 78: Infrastructure as Code using ARM & Terraform
- Module 79: Azure Monitor & Log Analytics
- Module 80: Application Insights
Google Cloud Platform (GCP)
GCP Core
- Module 81: GCP Architecture
- Module 82: Projects, Resources & Billing
- Module 83: GCP IAM
- Module 84: Core GCP Components
GCP Storage
- Module 85: Storage Operations
- Module 86: Buckets, Objects & Classes
- Module 87: IAM & ACLs
- Module 88: Data Encryption
- Module 89: Versioning
- Module 90: Lifecycle Rules
- Module 91: Storage Transfer Service
Compute & Databases
- Module 92: Google Compute Engine
- Module 93: Machine Types
- Module 94: Firewalls & Routing
- Module 95: Images & Snapshots
- Module 96: Static IPs & SSH
- Module 97: Managed Instance Groups
- Module 98: Autoscaling
- Module 99: Cloud SQL
- Module 100: Cloud Spanner
- Module 101: Firestore
Load Balancing & CDN
- Module 102: Load Balancer Fundamentals
- Module 103: HTTP(S), TCP & SSL Load Balancers
- Module 104: Cloud CDN & Auto Scaling
GKE
- Module 105: Google Kubernetes Engine
- Module 106: Node Pools
- Module 107: Deployments, Services & Autoscaling
- Module 108: CI/CD with GKE
- Module 109: GKE Security
GCP Networking
- Module 110: VPC Networks
- Module 111: Subnets, Firewalls & Routes
- Module 112: VPC Peering & Shared VPC
- Module 113: VPN & Interconnect
Operations & Monitoring
- Module 114: Cloud Operations (Stackdriver)
- Module 115: Error Reporting
- Module 116: Debugger
- Module 117: Trace
- Module 118: Logging
GCP Security
- Module 119: IAM Advanced
- Module 120: DLP API
- Module 121: Key Management Service
- Module 122: Vulnerability Scanning
- Module 123: Cloud Armor
AI in Cloud Computing
- Module 124: AI in Cloud
- Module 125: AI for Cloud Resource Optimization
- Module 126: AI-Driven Monitoring & Anomaly Detection
- Module 127: AI for Security & Threat Detection
- Module 128: AI-Based Cost Management & Forecasting
Professional Training and Career Development Programs
- Technical Resume
- Soft Skills Development
- Personality Skills Development
- Technical Projects
- Technical Mock Interview
- Industrial Project
- Placement Training
- Internship
- Certification
Advanced Master Program in Automation Testing with Selenium and Playwright with Gen AI
Software Testing Fundamentals
- Module 1: Core Concepts of Software Testing
- Module 2: Values of Testing
- Module 3: Principles of Software Testing
- Module 4: QA vs QC, Verification vs Validation
Software Development Life Cycle (SDLC)
- Module 5: SDLC Phases and Deliverables
- Module 6: Waterfall Model
- Module 7: Spiral Model
- Module 8: Prototype Model
- Module 9: V-Model
- Module 10: Agile Model
Software Testing Life Cycle (STLC)
- Module 11: Requirement Analysis and Feasibility Study
- Module 12: Test Planning and Strategy Design
- Module 13: Test Case Development and Assessment
- Module 14: Test Environment Setup
- Module 15: Test Execution and Defect Logging
- Module 16: Test Closure Activities and Reporting
Test Documentation
- Module 17: Test Plan and Strategy Documents
- Module 18: Test Scenarios and Test Case Design
- Module 19: Requirements Traceability Matrix
- Module 20: Test Execution Reports and Summary Reports
Defect Management
- Module 21: Defect Life Cycle
- Module 22: Severity and Priority Classification
- Module 23: Defect Tracking and Reporting Tools (Jira, Bugzilla)
- Module 24: Defect Metrics, Trends, and Analysis
Testing Techniques
- Module 25: White Box Testing Techniques
- Module 26: Black Box Testing Techniques
Testing Types
- Module 27: Functional Testing
- Module 28: Non-Functional Testing
- Module 29: Maintenance Testing
- Module 30: Specialized Testing
Core Java Programming
Java Overview
- Module 31: Core Concepts of Java
- Module 32: Key Features and Advantages of Java
- Module 33: Java Architecture
- Module 34: Compiler vs Interpreter
- Module 35: Java vs C and C++
- Module 36: Role of Java in Automation Testing
Data Types, Variables, Operators
- Module 37: Primitive and Non-Primitive Data Types
- Module 38: Variable Declaration, Scope, and Lifetime
- Module 39: Type Casting and Conversion
- Module 40: Operators
Control Flow Statements
- Module 41: Conditional Statements
- Module 42: Iteration Statements
Methods, Classes, and Objects
- Module 43: Method Declaration and Invocation
- Module 44: Static vs Instance Methods
- Module 45: Constructors and Method Overloading
- Module 46: Arrays and User Input Handling
OOP Concepts
- Module 47: Encapsulation
- Module 48: Inheritance
- Module 49: Polymorphism
- Module 50: Abstraction
Collections Framework
- Module 51: Overview of Java Collections
- Module 52: List, Set, Map Interfaces
- Module 53: Framework Implementations
- Module 54: Iterators and Enhanced For Loops
Streams and Lambda Expressions
- Module 55: Stream API Overview
- Module 56: Intermediate and Terminal Operations
- Module 57: Functional Interfaces & Lambda Expressions
File Handling
- Module 58: FileReader & FileWriter
- Module 59: Buffered Streams
- Module 60: Serialization & Deserialization
Exception Handling
- Module 61: Checked and Unchecked Exceptions
- Module 62: try–catch–finally Constructs
- Module 63: throw & throws Keywords
- Module 64: Custom Exception Handling
Design Patterns
- Module 65: MVC Architecture
- Module 66: Singleton Pattern
- Module 67: Factory Pattern
- Module 68: DAO Pattern
Multithreading
- Module 69: Thread Lifecycle
- Module 70: Thread vs Runnable
- Module 71: Synchronization & Deadlocks
- Module 72: Inter-thread Communication
JDBC
- Module 73: JDBC Architecture & Components
- Module 74: Database Connections
- Module 75: Executing SQL Queries
- Module 76: PreparedStatement, ResultSet & Transactions
Unit Testing with JUnit
- Module 77: JUnit Framework Overview
- Module 78: Test Case Design and Execution
- Module 79: Assertions and Annotations
- Module 80: Automation Using JUnit
Automation Testing with Java
- Module 81: Automation Testing Concepts
- Module 82: Manual vs Automation Testing
- Module 83: ROI of Automation
- Module 84: Automation Framework Concepts
Selenium WebDriver
- Module 85: WebDriver Architecture
- Module 86: Locator Strategies
- Module 87: Web Element Handling
- Module 88: Synchronization
- Module 89: Alerts, Frames, Windows Handling
Selenium Framework Design
- Module 90: Data Driven Framework
- Module 91: Keyword Driven Framework
- Module 92: Hybrid Framework
- Module 93: Page Object Model
- Module 94: Apache POI & Maven Integration
TestNG Framework
- Module 95: TestNG Setup and Configuration
- Module 96: Annotations and Assertion Methods
- Module 97: Test Suites & Parallel Execution
- Module 98: TestNG Reporting & Integration
Cucumber
- Module 99: BDD Concepts
- Module 100: Gherkin Syntax
- Module 101: Step Definitions
- Module 102: Cucumber + Selenium + TestNG Integration
- Module 103: Reporting & Execution
JavaScript + Playwright Automation
JavaScript
- Module 104: JavaScript Overview
- Module 105: Variables and Functions
- Module 106: Conditional Statements
- Module 107: Iteration Statements
- Module 108: Async/Await
- Module 109: Import/Export Modules
Node & NPM
- Module 110: Install Node.js and NPM
- Module 111: Project Initialization
- Module 112: Install Dependencies
- Module 113: Run JS Files
Playwright
- Module 114: Playwright Overview
- Module 115: Selenium vs Playwright
- Module 116: Headless vs Headed Mode
- Module 117: Codegen for Recording Scripts
Writing First Test
- Module 118: Playwright Test Runner
- Module 119: Test File Structure
- Module 120: test() and expect()
- Module 121: Page Object Understanding
- Module 122: Running Tests from Terminal
Locators & Selectors
- Module 123: CSS, Text, ID, Class, XPath
- Module 124: page.locator() and getByRole()
Assertions & Validations
- Module 125: expect() Usage
- Module 126: URL, Text, Visibility Validation
- Module 127: Negative Validations
Playwright Configuration
- Module 128: playwright.config.js
- Module 129: Retries & Timeouts
- Module 130: Screenshots & Videos
- Module 131: Parallel Execution
Page Object Model
- Module 132: pages/ Folder Structure
- Module 133: Reusable Classes
- Module 134: Constructor & Methods
- Module 135: Imports in Test Files
Hooks & Fixtures
- Module 136: beforeAll, beforeEach, afterEach, afterAll
- Module 137: Reuse Browser Context
- Module 138: Common Fixtures Setup
Advanced Playwright
- Module 139: Reporting
- Module 140: API Testing with Playwright
- Module 141: File Upload/Download
- Module 142: Handling Popups & iFrames
- Module 143: Parameterized Tests
- Module 144: Projects & Parallel Execution
Playwright with AI agents
- Module 145: Playwright with copilot,
- Module 146: find and add locators with AI
- Module 147: generate code with AI prompts:
Additional Tools
- Module 148: Overview of Appium
- Module 149: Functions of Cypress
AI in Software Testing
- Module 150: AI in Testing
- Module 151: AI for Test Case Generation
- Module 152: AI for Defect Prediction and Analysis
- Module 153: AI-based Test Automation Optimization
- Module 154: AI-driven Test Reporting & Insights
Professional Training and Career Development Programs
- Technical Resume
- Soft Skills Development
- Personality Skills Development
- Technical Projects
- Technical Mock Interview
- Industrial Project
- Placement Training
- Internship
- Certification
Advanced Master Program in DevOPS
DevOps
- Module 1: DevOps Foundations
- Module 2: Market Trends of DevOps
- Module 3: DevOps Architecture
- Module 4: Tools Used in DevOps – Overview
- Module 5: SDLC vs Agile vs DevOps
- Module 6: DevOps Lifecycle (CI, CD, CT, CM, Monitoring)
DevOps on Cloud
- Module 7: Essentials of Cloud Computing
- Module 8: Cloud & Virtualization Architecture
- Module 9: Cloud Deployment Models
- Module 10: Why DevOps on Cloud?
- Module 11: AWS An Intro
- Module 12: AWS Core Services (EC2, S3, IAM, VPC)
- Module 13: Infrastructure as Code on Cloud
GIT (Version Control)
- Module 14: Understanding Version Control
- Module 15: Git CLI & Installation
- Module 16: Git Workflow
- Module 17: Git Branching, Merging & Rebase
- Module 18: Git Commands
- Module 19: GitHub / GitLab / Bitbucket
- Module 20: Git Tags & Release Management
- Module 21: Handling Conflicts & Pull Requests
Jenkins (CI/CD)
- Module 22: Jenkins
- Module 23: Continuous Integration – Concepts
- Module 24: Jenkins Architecture
- Module 25: Tool Management in Jenkins
- Module 26: User Management, Authentication & Authorization
- Module 27: Overview of Maven
- Maven project structure, POM, Plugins
- Adding dependencies, build & test automation
- Module 28: Creating Jobs & Automated Builds
- Adding dependencies, build & test automation
- Module 29: Jenkins Pipelines
- Module 30: Adding Slave Nodes
- Module 31: Build Delivery Pipeline
- Module 32: Plugins & Notifications
- Module 33: Jenkins with Docker & Kubernetes
- Module 34: Integrating Jenkins with Ansible
Docker (Containerization)
- Module 35: Docker
- Module 36: Docker Images & Containers
- Module 37: Container Lifecycle
- Module 38: Dockerfile & Image Creation
- Module 39: Docker Hub & Image Publishing
- Module 40: Docker Networking
- Module 41: Docker Compose – Multi-container apps
- Module 42: Docker Swarm – Clustering
- Module 43: Scaling Applications with Swarm
- Module 44: Docker Volumes & Storage Management
Kubernetes (Container Orchestration)
- Module 45: Kubernetes
- Module 46: Cluster Architecture
- Module 47: Pods, ReplicaSets, Deployments, Namespaces
- Module 48: Services – ClusterIP, NodePort, LoadBalancer
- Module 49: Persistent Volumes & Claims
- Module 50: Labels, Selectors, Jobs & CronJobs
- Module 51: Helm – Kubernetes Package Manager
- Module 52: Ingress Controller & Ingress Routing
- Module 53: ConfigMaps & Secrets
- Module 54: AutoScaling
- Module 55: Kubernetes Security
Ansible (Configuration Management)
- Module 56: Ansible
- Module 57: Ansible Architecture
- Module 58: Control & Managed Nodes
- Module 59: Inventory – Hosts, Groups & Variables
- Module 60: Adhoc Commands
- Module 61: File Transfer, Packages, Services Management
- Module 62: YAML
- Module 63: Playbooks – Writing & Executing
- Module 64: Tasks, Handlers, Loops & Conditions
- Module 65: Ansible Roles
- Module 66: Importing & Including Files
- Module 67: Ansible Vault – Secret Management
- Module 68: Ansible Galaxy
Terraform
- Module 69: Infrastructure as Code
- Module 70: Terraform Architecture
- Module 71: Providers & Resources
- Module 72: Writing Terraform Configurations
- Module 73: Variables, Outputs & Modules
- Module 74: Terraform State Management
- Module 75: Deploying Infrastructure on AWS
- Module 76: Remote State & Workspaces
CI/CD Advanced Tools
- Module 77: GitLab CI/CD
- Module 78: GitHub Actions
- Module 79: ArgoCD – GitOps Tool
- Module 80: Nexus & Artifact Management
Monitoring & Logging
- Module 81: Prometheus – Metrics Monitoring
- Module 82: Grafana – Dashboards
- Module 83: ELK / EFK Stack – Logging
- Module 84: CloudWatch & CloudTrail
Security in DevOps (DevSecOps)
- Module 85: DevSecOps
- Module 86: Image Scanning
- Module 87: SAST/DAST Tools
- Module 88: Secrets Management (Vault, AWS Secrets Manager)
Project Deployment
- Module 89: CI/CD Pipeline for Java App
- Module 90: Deploy App on Kubernetes
- Module 91: Infrastructure Automation using Terraform + Ansible
- Module 92: Cloud Deployment End-to-End
- Module 93: Monitoring Setup
AI in DevOps
- Module 94: AI in DevOps
- Module 95: AI for Predictive Monitoring
- Module 96: AI-driven Anomaly Detection
- Module 97: AI for Automated Deployment & Optimization
- Module 98: AI-assisted Security & Compliance
Professional Training and Career Development Programs
- Technical Resume
- Soft Skills Development
- Personality Skills Development
- Technical Projects
- Technical Mock Interview
- Industrial Project
- Placement Training
- Internship
- Certification
Advanced Master Program in CyberSecurity
Cyber Security
- Module 1: What is Cyber Security?
- Module 2: Fundamentals & CIA Triad
- Module 3: Security Controls, Frameworks
- Module 4: Types of Cyber Attacks
- Module 5: Cyber Kill Chain, MITRE ATT&CK Framework
Network & Networking Security
- Module 6: TCP/IP & OSI Models
- Module 7: Ports, Protocols & Transmission Media
- Module 8: Networking Devices (Hub, Switch, Router, Firewall)
- Module 9: Network Topologies & Wireless hacking
- Module 10: Common Network Attacks
- Module 11: Network Scanning Techniques
- Module 12: Wireshark Deep Packet Analysis
- Module 13: Firewall Concepts & Configurations
- Module 14: IDS & IPS
Operating System Security
- Module 15: Windows & Linux Internals
- Module 16: User & Group Management
- Module 17: Access Controls & Permissions
- Module 18: Malware Concepts & Analysis
- Module 19: Windows Sysinternals
- Module 20: Linux Logging, grep, journalctl
- Module 21: Hardening Windows & Linux
- Module 22: OS Forensics
Identity & Access Management (IAM)
- Module 23: IAM Fundamentals
- Module 24: Access Control Models
- Module 25: LDAP, Active Directory
- Module 26: Authentication Protocols
- Module 27: Single Sign-On (SSO)
- Module 28: OAuth, OpenID Connect, MFA
Data Security
- Module 29: Steganography
- Module 30: NTFS Alternate Data Streams (ADS)
- Module 31: Detecting Hidden Data (Images, Files)
- Module 32: Cryptography
- Module 33: Data Protection with EFS & BitLocker
- Module 34: Secure Data Storage & Backup
Cryptography & PKI
- Module 35: Symmetric vs Asymmetric Encryption
- Module 36: Hash Functions
- Module 37: PKI, Certificates, SSL/TLS
- Module 38: Cryptographic Attacks
- Module 39: Using CrypTool
- Module 40: Blockchain
Web Application Security & Penetration Testing
- Module 41: Penetration Testing Methodology
- Module 42: OWASP Top 10
- Module 43: Web Application Tools
- Module 44: SQL Injection
- Module 45: XSS, CSRF, SSRF
- Module 46: File Upload Vulnerabilities
- Module 47: Authentication & Session Attacks
- Module 48: Web Application Firewall (WAF) Bypass
Ethical Hacking (Red Teaming)
- Module 49: Ethical Hacking
- Module 50: Footprinting & Reconnaissance
- Module 51: Scanning & Enumeration
- Module 52: Exploitation with Metasploit
- Module 53: Privilege Escalation Techniques
- Module 54: Post-Exploitation
- Module 55: Mobile Hacking
Digital Forensics & Incident Response
- Module 56: Forensics
- Module 57: Evidence Collection & Preservation
- Module 58: Disk Forensics
- Module 59: Memory Forensics
- Module 60: Log Analysis Techniques
- Module 61: Incident Response Lifecycle
- Module 62: Email Header Analysis
- Module 63: Chain of Custody
Security Operations Center
- Module 64: SOC
- Module 65: SIEM Tools
- Module 66: Real-time Monitoring
- Module 67: Use Case Development
- Module 68: Threat Detection & Alert Handling
- Module 69: Threat Hunting Basics
Cloud Security
- Module 70: Cloud Computing Security Overview
- Module 71: AWS Security Fundamentals
- Module 72: IAM, Security Groups, VPC Security
- Module 73: Cloud Logging & Monitoring
- Module 74: Kubernetes Security
- Module 75: Cloud Threats & Misconfigurations
Security Automation (DevSecOps)
- Module 76: DevSecOps Fundamentals
- Module 77: CI/CD Security
- Module 78: SAST Tools (SonarQube)
- Module 79: DAST Tools (OWASP ZAP)
- Module 80: Vulnerability Scanning Tools
- Module 81: Container Security (Docker)
Threat Intelligence
- Module 82: Threat Intelligence Types
- Module 83: IOC, TTP, Threat Feeds
- Module 84: VirusTotal, ThreatMiner, OTX
AI Applications in Cyber Security
- Module 85: AI in Security
- Module 86: AI for Threat Detection
- Module 87: AI for Malware & Anomaly Analysis
- Module 88: Automated Risk Prediction
- Module 89: AI-Assisted Security Monitoring
Professional Training and Career Development Programs
- Technical Resume
- Soft Skills Development
- Personality Skills Development
- Technical Projects
- Technical Mock Interview
- Industrial Project
- Placement Training
- Internship
- Certification
Advanced Master Program in AI-Integrated Creative UI/UX Web Design
Module 1: Fundamentals of UI/UX Design
- Differentiate UI (User Interface) vs UX (User Experience)
- Define UX roles and responsibilities within product teams
- Study evolution of user interfaces across platforms
- Analyse implementation of UI/UX in real-world products
Module 2: User-Centred Design & Design Thinking
- Apply principles of User-centered Design (UCD)
- Conduct empathy exercises and problem definition
- Utilize ideation frameworks
- Follow Design Thinking stages
Module 3: Frontend Essentials
- Build semantic structure with HTML5
- Implement layout models using CSS Flexbox and CSS Grid
- Perform DOM manipulation using vanilla JavaScript
- Create interactive, accessible web components
Module 4: Responsive Layouts & Mobile-First Approach
- Apply media queries for responsive breakpoints
- Design fluid grid-based layouts for scalability
- Implement mobile-first CSS architecture
- Conduct responsive device testing
Module 5: Web Accessibility
- Adhere to WCAG 2.2 compliance standards
- Implement keyboard navigation and ARIA roles
- Test with accessibility tools
- Ensure screen-reader compatibility
Module 6: Visual Design Fundamentals
- Apply color theory for contrast and accessibility
- Select typographic hierarchies for readability
- Design with layout hierarchy and spacing principles
- Balance white space for optimal UI clarity
Module 7: Canva
- Use artboards and layer structures
- Build wireframes using shape and layout tools
- Apply Auto-Animate for transitions
- Enable design sharing and collaboration workflows
Module 8: Figma – Real-Time Collaboration
- Multi-user real-time collaboration
- Create reusable components and variants
- Define responsive constraints and grids
- Build interactive prototype flows
Module 9: Design Systems
- Apply Atomic Design principles
- Manage tokens: colors, spacing, fonts
- Develop style guides for consistency
- Implement version control in design systems
Module 10: Interactive Components & Micro-interactions
- Define triggers and feedback states
- Animate component state transitions
- Design UX motion systems
Module 11: High-Fidelity Prototypes
- Transition from lo-fi to hi-fi
- Link screens using flows
- Capture stakeholder feedback
- Iterate via usability inputs
Module 12: AI-Based Tools for UI
- Generate UI via prompts
- Prototype using AI layout tools
- Evaluate AI workflow strengths & limitations
Module 13: Information Architecture
- Design navigation structures and sitemaps
- Conduct card sorting and tree testing
- Establish content hierarchy
Module 14: Wireframing Techniques
- Sketch UX flows
- Group UI with consistent spacing
- Annotate wireframes for developer handoff
Module 15: UX Writing
- Write clear micro-copy
- Maintain tone consistency
- Handle empty & error states
Module 16: Writing for Feedback States
- Create empathetic error copy
- Design feedback interactions
- Match voice to platform
Module 17: Branding in UI
- Apply brand guidelines
- Ensure typography and logo consistency
- Validate visual consistency
Module 18: Iconography & Advanced Layouts
- Design semantic icons
- Apply grid theory
- Align UI precisely
Module 19: Motion Design
- Apply easing & transitions
- Animate onboarding flows & modals
Module 20: Accessibility Engineering
- Test color blindness
- Measure contrasts
- Implement inclusive interactions
Module 21: Gesture-Based UX
- Touch gesture interactions
- Thumb zone design
- Gesture libraries
Module 22: Multi-Platform UX
- Android vs iOS adaptations
- Cross-device breakpoints
- Hybrid UX strategies
Module 23: UX Personalization with AI
- Behavior models
- Rule-based vs AI logic
- Recommendation UX
Module 24: AI in UX Writing
- Generate micro-copy
- Smart tooltips & FAQs
- Prompt templates
Module 25: Predictive UX Journeys
- Use Firebase analytics
- Apply ML to funnels
- Predict onboarding flows
Module 26: AI-Based Heatmaps
- Click & scroll simulations
- Attention analysis
Module 27: Generative Design with AI
- Text-to-design UI generation
- Generate assets
- Ethical design practices
Module 28: User Interviews & Journey Mapping
- Qualitative interviews
- Mapping experiences
- Insight extraction
Module 29: UX Surveys
- Objective survey creation
- Digital survey tools
- Feedback analysis
Module 30: A/B Testing
- Hypothesis testing
- UX test tools
- Data-based revision
Module 31: Persona Modeling
- Data-driven persona building
- Empathy layers
Module 32: Stakeholder Feedback
- Figma commenting
- Agile feedback cycles
Module 33: UX Metrics
- KPI tracking
- Dashboards
- Data storytelling
Module 34: Mobile UX Patterns
- Onboarding UX
- Performance-first design
Module 35: Native vs Web UX
- App vs Browser UX
- Device integration
- PWA offline UX
Module 36: Ethical UX Design in AI
- Transparency practices
- Dark pattern prevention
- Bias audits
Module 37: Privacy by Design
- GDPR-compliant UX
- Minimal data design
- Transparent consent flows
Professional Training and Career Development Programs
- Technical Resume
- Soft Skills Development
- Personality Skills Development
- Technical Projects
- Technical Mock Interview
- Industrial Project
- Placement Training
- Internship
- Certification
Registration Date
27/02/2026
Joining Date
Overview Zenjade Automation Technology Private Limited
Zenjade Automation Technology Private Limited is a key player in the software sector, specializing in innovative automation solutions that streamline business processes and enhance operational efficiency. The company focuses on developing cutting-edge software applications that integrate artificial intelligence and machine learning, allowing organizations to automate repetitive tasks and make data-driven decisions. By leveraging advanced technologies, Zenjade aims to transform traditional workflows, reduce human error, and optimize productivity. Their commitment to delivering high-quality software solutions positions them as a leader in the rapidly evolving landscape of automation technology, helping businesses adapt to the demands of the digital age while fostering innovation and growth.
Looking for Best AUTOMATION Training in Chennai?
ZENJADE AUTOMATION TECHNOLOGY PRIVATE LIMITED is No 1 AUTOMATION training in Chennai offering professional training by experts.
Next-Gen Software Technologies: What to Expect?
The future of software technology is set for a transformative evolution that will redefine our digital ecosystems. Central to this advancement is the integration of artificial intelligence (AI) and machine learning (ML), enabling software to autonomously adapt to user requirements and deliver personalized interactions. As enterprises increasingly migrate to cloud architectures, Software as a Service (SaaS) will become the prevailing model, offering exceptional flexibility and scalability. The growing emphasis on DevOps practices will enhance collaboration between development and operations teams, resulting in more efficient software delivery and improved quality. Cybersecurity will be paramount, necessitating the creation of resilient software frameworks equipped with advanced threat detection and mitigation strategies. Additionally, augmented reality (AR) and virtual reality (VR) will revolutionize user engagement, delivering immersive experiences. Ultimately, software technology will act as a catalyst for innovation and enhanced connectivity across diverse industries.
Innovate With ZATPL
Zenjade Automation Technology Private Limited (ZATPL) is a leading software training company in Chennai, renowned for its state-of-the-art infrastructure and innovative labs that facilitate immersive, hands-on learning experiences. We cater to a global clientele, offering tailored training programs across a spectrum of software technologies to meet the distinct aspirations of our candidates at competitive rates. Upholding the philosophy of “practice what you preach,” our training emphasizes practical engagement, allowing candidates to work on real-world projects guided by seasoned software engineering professionals. Our training includes individual one-on-one sessions with technical experts, ensuring personalized instruction that addresses specific learning needs and enhances skill acquisition. This collaborative and interactive environment promotes a deeper understanding of complex concepts, equipping learners with the critical competencies necessary for thriving careers in the software industry. Recognized for our dedication to excellence, ZATPL provides well-structured training programs specifically designed for candidates and working professionals. Classes are available five days a week, with special weekend sessions for added flexibility. Additionally, our fast-track training options are perfect for those seeking to elevate their technical expertise swiftly, ensuring they remain competitive in the rapidly evolving software landscape.
Why Software Training In Chennai At ZENJADE AUTOMATION TECHNOLOGY PRIVATE LIMITED ?
Software Placements in Zenjade Automation Technology Private Limited
- Information Technology
- Healthcare
- Finance
- Banking
- Retail
- E-commerce
- Manufacturing
- Education
- Telecommunication
- Transportation
- Logistics
- Entertainment
- Real Estate
- Hospitality
- Travel
- Construction
- Automotive
- Insurance
- Agriculture
- Legal Services
- Government
- Aerospace and Defense
- Pharmaceuticals
- Mining and Metals
- Sports and Fitness
- Human Resources
- Marketing
- Public Relations
- Construction
- Fashion
- Food and Beverage
- Telehealth
- Insurance
- AI
- Block chain Technology
- Virtual Reality
- Cybersecurity
- Social Media
- Travel and Tourism
- Gaming
Software Job Openings
- Software Developer
- Web Developer
- Mobile App Developer
- Data Scientist
- Data Analyst
- DevOps Engineer
- UI/UX Designer
- Systems Analyst
- Cybersecurity Analyst
- Cloud Engineer
- Game Developer
- Business Analyst
- Network Engineer
- Application Support Analyst
- Software Architect
- Business Intelligence (BI) Developer
- Embedded Systems Engineer
- Digital Marketing Specialist
- Ethical Hacker/Penetration Tester
- Performance Engineer
- Robotics Software Engineer
- Block chain Developer
- Virtual Reality (VR) Developer
- Augmented Reality (AR) Developer
- Compliance Analyst
- AI Research Scientist
- Game Designer
- Mobile Game Developer
- Test Automation Engineer
- Cloud Solutions Architect
- IOT Solutions Architect
- Data Engineer
- Social Media Analyst
- Machine Learning Engineer
- IT Support Technician
- Visual Designer
- Software Tester
- Payment Systems Developer
- Chat bot Developer