Java FSD with DevOps and AI Integration

This course is aimed at transforming students and professionals into job-ready full stack developers who are proficient in Java-based web applications with React Js, adept in DevOps practices for modern deployment pipelines, and capable of leveraging AI technologies to build intelligent software solutions. Integrate AI-driven features such as Generative AI using OpenAI, and practice for writing efficient prompts to enhance productivity.
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About Us

I am Irfan Khan, a seasoned software development professional with over 15 years of experience, specializing in the Hire, Train, and Deploy (HTD) model.

I have successfully trained over 20,000 candidates and helped them secure positions at top MNCs such as ATOS Origin, Zensar, Amdocs, Deloitte, Cerner, Persistent Systems, Nucleus Software, Intellect Design Arena, 3i Infotech, Emphasis, MetricStream, Samsung, and Accenture.

With 17+ years of industry experience, our expert trainer brings deep knowledge and real-world expertise across multiple cutting-edge technologies. Having worked on diverse projects and trained numerous professionals, the trainer is passionate about transforming beginners into confident, job-ready developers.

Expertise & Specializations

  • Java Full Stack Development with AI Integration (FSD)
  • Python Full Stack Development with AI Integration (FSD)
  • Data Structures & Algorithms (DSA)
  • Data Engineering (ETL, Big Data, Cloud) with AI Integration
  • Artificial Intelligence & Machine Learning (AI/ML) with AI Integration
  • Generative AI & Agentic AI
  • MEAN & MERN Stack Development using AI

Training Approach

  • Hands-on learning with real-time projects
  • Industry-focused curriculum
  • Step-by-step guidance from basics to advanced
  • Interview preparation & coding practice
  • Live examples and real-world use cases

Why Learn From This Trainer

  • 17+ years of industry and training experience
  • Strong focus on practical implementation
  • Simplifies complex topics into easy-to-understand concepts
  • Helps students become job-ready and confident

Mission

To empower students and professionals with the right skills in Full Stack Development, Data Engineering, and AI technologies, enabling them to build successful careers in the tech industry.

Course Curriculum

Module 1: Java Backend Development (Spring Boot Focus)

  • Core Java (OOP, Collections, Streams, Exception Handling)
  • Java 8, 11, 17, 21 features
  • MySQL Commands with JDBC Operations
  • Spring Boot Fundamentals
    • REST APIs
    • JPA & Hibernate
    • Spring Security (basics)
    • Spring Validation
  • Unit testing with JUnit and Mockito
  • Postman Client
  • Build Tools like Maven, Gradle

Mini Project: Build a REST API for product management

Module 2: Microservices

  • Introduction to Microservices
  • Spring Boot Essentials Refresher
  • RESTful Communication Between Services
  • Resilience and Fault Tolerance
  • API Gateway with Spring Cloud Gateway

Module 3: Kafka

  • Introduction to Kafka and Messaging Systems
  • Kafka Setup and Basics
  • Kafka Producers and Consumers
  • Kafka Internals
  • Real-world Kafka Use Cases and Best Practices

Module 4: Frontend with Angular

  • TypeScript basics
  • Angular components, modules, routing
  • HTTP client integration with Java backend
  • Forms, services, reactive programming (RxJS)
  • Component communication and state management (basic)

Mini Project: Angular frontend for product management API

Module 5: Frontend with React (Optional / Parallel Track)

  • JSX, Functional components, hooks
  • React Router
  • State management using Context API / Redux
  • API consumption with Axios or Fetch
  • Component lifecycles

Mini Project: Build same frontend in React for comparison

Module 6: Full Stack Integration

  • CORS and security configs
  • API versioning & response models
  • JWT-based authentication (Spring Security + Angular/React)
  • Pagination, sorting, filtering in full stack

Project: Full-fledged CRUD app with login and token-based auth

Module 7: DevOps and Deployment

  • Git & GitHub workflows
  • Agile & Jira
  • Dockerizing backend and frontend
  • CI/CD basics (GitHub Actions or Jenkins)
  • Deploy to AWS

Module 8: GenAI for Full Stack Developers

Concepts

  • What is Generative AI? Role in development
  • OpenAI, Gemini, Claude: Overview
  • REST-based interaction with AI models
  • Cost, token limits, and rate limits
  • Ollama, Deepseek, GPT models

Backend GenAI Integration (Java)

  • Using RestTemplate/WebClient to call AI APIs
  • AI-powered code review, summarization, or test generation
  • Using GenAI to pre-populate content or summarize logs

Module 9: Prompt Engineering for Developers

  • What is a prompt? Prompt components
  • Prompt types: Informational, instructional, few-shot, zero-shot
  • Good vs bad prompts
  • Chaining prompts for workflows (LangChain concepts)
  • Prompt testing, versioning, and documentation
  • PromptOps introduction (for production)

Practice: Write prompts for:

  • Generating Java code
  • Creating UI components
  • Writing documentation or test cases

Module 9: Mini Project

Implementation of all learning with real-time scenarios.