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Google 4.9 | 1231 Reviews

Google 4.9 | 1231 Reviews

Google 4.9 | 1231 Reviews

Google 4.9 | 1231 Reviews
B.Tech / BCA / MCA / Diploma / B.Sc. / M.Sc. (CS/IT) students
Teachers who wish to upgrade their curriculum to full-stack AI technologies
Working Professionals
Detailed Description:
This phase builds a strong programming and logical foundation for aspiring developers.
You’ll learn the fundamentals of computing, operating systems, and networking concepts essential for software development.
We then move into Python programming basics, covering variables, data types, control statements, functions, and OOP concepts.
You’ll also explore version control using Git and GitHub, understanding how to manage repositories and collaborate in real-time projects.
Key Topics:
Operating Systems, Terminal & Command-Line Basics
Programming Logic & Flow Control
Python Core: Loops, Lists, Functions, Classes
Git & GitHub for Version Control and Branching
Basic CLI Projects
Outcome:
By the end of this phase, students can write modular Python scripts, manage code using Git, and confidently navigate any development environment.
Detailed Description:
This phase transforms you into a professional front-end web developer.
Starting with HTML5 for structure and CSS3 for styling, you’ll move into modern JavaScript (ES6+) to add interactivity and logic to websites.
Students will then master ReactJS, learning about components, props, state, and hooks to build reusable and dynamic UIs.
Finally, we introduce NextJS for server-side rendering, routing, and SEO-friendly web apps.
You’ll also design responsive web pages using Bootstrap, TailwindCSS, and core UI/UX principles.
Key Topics:
HTML5, CSS3, Flexbox, Grid, and Responsive Design
JavaScript ES6+ (Functions, Arrays, DOM Manipulation, Async Programming)
ReactJS: Components, Props, Hooks, Routing
NextJS: Pages, SSR, API Routes, SEO Optimization
UI/UX Fundamentals & Web Accessibility
Version Control & Deployment (GitHub Pages, Netlify)
Outcome:
Build professional, dynamic, and fully responsive interfaces.
Live Project: Design & deploy a corporate landing page using React + NextJS with animated UI.
Detailed Description:
Learn to build secure and scalable back-end systems using Java and Spring Boot.
This phase covers Java fundamentals, OOP principles, collections, and exception handling before progressing to Spring Boot for RESTful API development.
You’ll learn to connect applications with relational and NoSQL databases like MySQL, PostgreSQL, and MongoDB.
Students will also explore Spring Data JPA, Dependency Injection, and API Testing with Postman.
Key Topics:
Java Core (OOPs, Collections, Exception Handling, Streams)
Spring Boot: REST APIs, Controllers, Beans, Dependency Injection
JPA & Hibernate ORM for Database Operations
MySQL, PostgreSQL & MongoDB Integration
API Testing using Postman & Swagger
Authentication & Authorization (JWT)
Outcome:
Build enterprise-grade backend APIs capable of connecting with modern frontends.
Live Project: Course Management REST API with authentication and CRUD operations.
Detailed Description:
This multi-framework backend phase helps students understand full-stack interoperability.
Learn to build Python-based backends using Django and Flask, focusing on modular design, REST APIs, and ORM handling.
We also introduce NodeJS with NextJS API routes for building JavaScript-based backends.
The module covers JWT authentication, middleware, and microservices communication between frameworks.
Key Topics:
Django MVC Framework, Models, Views, Templates
Django REST Framework (DRF) for API creation
Flask Microservices & Lightweight Routing
NodeJS Basics & NextJS API Integration
JWT Authentication & Role-Based Access Control
REST vs GraphQL APIs
Outcome:
Gain the flexibility to work across Python and JS backend frameworks.
Live Project: Develop a “Task & Blog Management App” integrating Django & Flask microservices.
Detailed Description:
In this phase, you’ll learn how real companies build, deploy, and maintain production-ready systems.
Students will master Linux command-line operations, Docker containerization, and Kubernetes orchestration.
We also cover AWS cloud services, including EC2 instance setup, S3 bucket management, and deployment automation using GitHub Actions.
This phase connects coding with real-world server management and DevOps workflows.
Key Topics:
Linux Shell Commands & Permissions
Docker Images, Containers & Docker Compose
Kubernetes Deployment, Services & Pods
AWS EC2, S3, and Networking Essentials
CI/CD Pipelines with GitHub Actions
Nginx/Apache Configuration for Web Hosting
Outcome:
Students will understand how to deploy full-stack apps securely and automatically.
Live Project: Containerize and deploy your Java Spring Boot app to AWS using Docker & CI/CD.
Detailed Description:
This is the signature module that gives the program its edge.
Students will learn to integrate AI and Machine Learning features into their full stack applications.
You’ll explore AI concepts such as data preprocessing, model integration, and API-based intelligence using OpenAI, TensorFlow.js, and Google NLP.
We also teach how to automate tasks using AI-powered APIs and low-code platforms like Appsmith.
Key Topics:
AI/ML Fundamentals (Supervised, Unsupervised Learning)
Integrating TensorFlow & TensorFlow.js Models in Frontend
Using OpenAI GPT APIs for Chatbots & Text Automation
Google NLP & Vision AI Integration
AI-Assisted Development Tools (GitHub Copilot, Tabnine)
Building AI-Powered Dashboards and Feedback Systems
Outcome:
Learn how to create intelligent, data-driven web applications.
Live Project: AI-Powered Feedback Analyzer using GPT API and TensorFlow.js.
Detailed Description:
This parallel phase strengthens your technical foundation in DSA — a must for interviews and coding tests.
Students will learn to solve real-world problems using arrays, linked lists, stacks, queues, trees, graphs, and dynamic programming.
We follow a structured roadmap aligned with LeetCode and HackerRank challenges to enhance logical and analytical thinking.
Key Topics:
Arrays, Strings, Linked Lists
Stacks, Queues, Trees, and Graphs
Sorting, Searching & Recursion
Dynamic Programming & Greedy Algorithms
Time & Space Complexity Analysis
Mock Coding Tests & Contest Practice
Outcome:
Build strong problem-solving ability to crack technical interviews and real-world logic-based tasks.
Detailed Description:
The final phase focuses on consolidating everything you’ve learned through a real-world enterprise project.
You’ll design, develop, and deploy a full-stack AI-powered system integrating ReactJS, Spring Boot, Docker, and AWS.
In parallel, you’ll receive career coaching, resume reviews, LinkedIn optimization, and mock interviews conducted by industry mentors.
Key Topics:
System Design & Scalable Architecture
Final Capstone Project (AI-Integrated Enterprise App)
Resume, GitHub & Portfolio Review
Mock Technical + HR Interviews
Communication Skills & Soft Skill Enhancement
Outcome:
By the end, you’ll have a portfolio-ready AI-Integrated Full Stack Application, a polished resume, and confidence for placements.
Career certifications validate expertise in a specific field, enhancing credibility and job prospects. Investing in relevant certifications can set you apart in a competitive job market. Let me know if you need recommendations!
Career certifications validate expertise in a specific field, enhancing credibility and job prospects. Investing in relevant certifications can set you apart in a competitive job market. Let me know if you need recommendations!
Career certifications validate expertise in a specific field, enhancing credibility and job prospects. Investing in relevant certifications can set you apart in a competitive job market. Let me know if you need recommendations!
Career certifications validate expertise in a specific field, enhancing credibility and job prospects. Investing in relevant certifications can set you apart in a competitive job market. Let me know if you need recommendations!
Career certifications validate expertise in a specific field, enhancing credibility and job prospects. Investing in relevant certifications can set you apart in a competitive job market. Let me know if you need recommendations!
Yes — you’ll learn how to integrate AI APIs and TensorFlow models into your full stack projects.
Yes — you’ll learn how to integrate AI APIs and TensorFlow models into your full stack projects.
Yes — you’ll learn how to integrate AI APIs and TensorFlow models into your full stack projects.
Yes — you’ll learn how to integrate AI APIs and TensorFlow models into your full stack projects.