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Job-Oriented Professional Training

Java Full Stack Development With AWS, AI & DevOps

Learn to design, develop and deploy modern full-stack applications using Java, Spring Boot, React or Angular, Microservices, AWS Cloud, DevOps and Generative AI. Build practical projects and prepare for software development career opportunities.

Core & Advanced Java Spring Boot React / Angular Microservices AWS Cloud AI / ML DevOps Live Projects

Practical learning | Cloud deployment | AI integration | Career preparation

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9 Months Weekday Batch (Mon–Fri)
12 Months Weekend Batch (Sat–Sun)
Online & Classroom Training Mode
3 Languages English, Hindi & Marathi
COURSE OVERVIEW

Become a Job-Ready Java Full Stack Developer with AWS & AI

CIIT Institute's Java Full Stack Development with AWS, AI and DevOps training is designed for learners who want to develop complete software applications and understand modern cloud deployment practices.

Learn front-end development, Core Java, Advanced Java, Spring Framework, Spring Boot, Microservices, database management, AWS Cloud and AI/ML integration.

Develop practical applications, understand CI/CD workflows, integrate AI capabilities and deploy applications using AWS services.

  • Core and Advanced Java programming
  • Frontend development using React or Angular
  • Spring Boot and REST API development
  • Microservices architecture with Spring Cloud
  • MySQL, Oracle and MongoDB concepts
  • AWS cloud services and deployment
  • DevOps tools and CI/CD pipeline concepts
  • AI/ML and Generative AI integration
  • Hands-on and capstone project work
  • Resume preparation and mock interviews
Explore Course Modules

Complete Java Full Stack Technology Stack

Learn the technologies required to develop, integrate, deploy and maintain modern applications.

Core Java Advanced Java JDBC Servlets JSP HTML5 CSS3 JavaScript React.js Angular Spring Spring Boot Spring MVC Spring Security Hibernate JPA Microservices MySQL Oracle MongoDB AWS Docker Kubernetes Jenkins Generative AI Spring AI Amazon SageMaker
LEARNING OUTCOMES

What Can You Accomplish After Training?

Develop the technical skills to work across the software development lifecycle.

💻

Develop Full Stack Applications

Design and develop complete web applications using Java backend technologies and modern frontend frameworks such as React or Angular.

☁️

Deploy Applications on AWS

Understand how to deploy, manage and scale applications using EC2, S3, RDS, Lambda and other AWS services.

🤖

Integrate AI/ML Capabilities

Explore AI APIs, Generative AI concepts, Spring AI and cloud-based machine learning application integration.

⚙️

Implement DevOps Practices

Understand Git, Jenkins, Docker, Kubernetes and CI/CD pipeline implementation for automated application delivery.

JAVA FULL STACK SYLLABUS

Complete Course Curriculum

A structured learning path covering frontend, backend, databases, AWS, DevOps and AI/ML.

MODULE 02

Frontend Development

  • HTML5 and semantic elements
  • CSS3 and responsive web design
  • Flexbox and CSS Grid
  • Bootstrap framework
  • JavaScript ES6+
  • DOM manipulation
  • Events and form validation
  • Promises and asynchronous JavaScript
  • React.js fundamentals
  • Angular fundamentals
  • Components and routing
  • Frontend and REST API integration
MODULE 03

Advanced Java & Web Technologies

  • JDBC architecture
  • Database connectivity
  • Servlets
  • JSP
  • Request and response handling
  • Session management
  • Filters and listeners
  • MVC architecture
  • Web application development
MODULE 04

Spring Framework & Spring Boot

  • Spring Framework architecture
  • Inversion of Control
  • Dependency Injection
  • Spring Bean lifecycle
  • Spring MVC
  • Spring Boot fundamentals
  • RESTful API development
  • Spring Data JPA
  • Hibernate ORM
  • Spring Security
  • JWT authentication
  • OAuth2 concepts
MODULE 05

Microservices Architecture

  • Monolithic vs Microservices
  • Microservices architecture
  • Spring Boot microservices
  • Spring Cloud fundamentals
  • Service discovery
  • API Gateway
  • Centralized configuration
  • Service-to-service communication
  • Load balancing concepts
  • Fault tolerance and resilience
  • Microservices security
MODULE 06

Database Management

  • Database fundamentals
  • Relational database concepts
  • SQL queries and joins
  • Subqueries and functions
  • Stored procedures
  • Views and indexes
  • MySQL database
  • Oracle database concepts
  • MongoDB fundamentals
  • NoSQL database concepts
  • Hibernate and JPA integration
MODULE 08

DevOps & CI/CD Tools

  • DevOps fundamentals
  • Git and GitHub
  • Version control
  • Maven and Gradle
  • Jenkins
  • Continuous Integration
  • Continuous Deployment
  • Docker fundamentals
  • Kubernetes fundamentals
  • AWS CodeCommit concepts
  • AWS CodeBuild
  • AWS CodeDeploy
  • CI/CD pipeline concepts
MODULE 09

AI / ML Integration

  • Introduction to Artificial Intelligence
  • Machine Learning fundamentals
  • Generative AI concepts
  • Large Language Models overview
  • AI API integration
  • Spring AI introduction
  • AI-powered chatbot concepts
  • Prompt engineering fundamentals
  • AI-powered search functionality
  • Amazon SageMaker overview
  • Amazon Bedrock overview
  • ML model deployment concepts
  • AI-enabled application development
MODULE 10

Software Testing & Quality

  • Software testing fundamentals
  • Unit testing concepts
  • JUnit
  • Mockito fundamentals
  • API testing concepts
  • Debugging and troubleshooting
  • Code quality practices
  • Testing in CI/CD workflows
MODULE 11

Real-Time Project & Capstone

  • Project requirement analysis
  • Application architecture design
  • Frontend development
  • Backend API development
  • Database integration
  • User authentication and authorization
  • Microservices implementation
  • AWS deployment
  • AI feature integration
  • Project testing and documentation
  • GitHub portfolio preparation
MODULE 12

Interview & Career Preparation

  • Core Java interview preparation
  • Advanced Java questions
  • Spring Boot interview preparation
  • Microservices interview questions
  • SQL and database questions
  • AWS interview preparation
  • DevOps interview preparation
  • Programming practice
  • Resume preparation
  • Mock technical interviews
  • HR interview preparation
CLOUD + ARTIFICIAL INTELLIGENCE

Java + AWS + AI/ML: Build Modern Applications

Combine enterprise Java development with cloud infrastructure and intelligent application capabilities.

AWS Cloud Integration

Learn cloud services and deployment concepts for Java-based applications.

Amazon EC2 Amazon S3 Amazon RDS AWS IAM AWS Lambda API Gateway CodeCommit CodeBuild CodeDeploy

AI / ML & Generative AI

Explore intelligent features and AI integration in enterprise Java applications.

AI APIs Spring AI Generative AI Prompt Engineering LLM Concepts Amazon SageMaker Amazon Bedrock AI Chatbots ML Deployment
PRACTICAL LEARNING

Hands-On Projects & Capstone Development

Apply your knowledge through project-based exercises and practical full-stack application development.

🛒

E-Commerce Application

Develop product listings, shopping cart, user registration, order management and payment integration concepts.

Stack: Java, Spring Boot, React, MySQL, AWS.

🏥

Healthcare Portal

Build patient registration, appointment scheduling, doctor management and secure application access.

Stack: Java, Spring Boot, Angular, SQL.

🤖

AI-Powered Chatbot

Explore an AI-powered assistant that accepts user queries and connects with backend services.

Stack: Java, Spring AI, AI APIs, AWS.

🏦

Banking Microservices

Build separate customer, account and transaction services with API-based communication.

Stack: Spring Boot, Spring Cloud, MySQL.

👨‍💼

Employee Management System

Develop employee records, role-based access, attendance and reporting features.

Stack: Java, Spring Boot, React, SQL.

☁️

AWS Application Deployment

Deploy a Java application using AWS cloud services and understand CI/CD workflows.

Stack: AWS EC2, S3, RDS, Docker, Jenkins.

YOUR JAVA CAREER PATH

Step-by-Step Learning Journey

Progress from programming fundamentals to full-stack development, cloud deployment and career preparation.

01

Build Java Foundations

Learn Core Java, OOP, collections, exception handling and programming fundamentals.

02

Master Frontend Development

Develop responsive interfaces using HTML, CSS, JavaScript and React or Angular.

03

Develop Backend Applications

Learn Spring Boot, REST APIs, Hibernate, JPA and database integration.

04

Learn Microservices

Understand Spring Cloud, API Gateway, service discovery and distributed systems.

05

Integrate AWS Cloud

Deploy applications using EC2, S3, RDS, Lambda and other AWS services.

06

Implement DevOps

Practice Git, Jenkins, Docker, Kubernetes and CI/CD pipeline concepts.

07

Add AI/ML Capabilities

Explore AI APIs, Spring AI, Generative AI and machine learning integration.

08

Complete Live Projects

Develop practical applications and prepare a portfolio to demonstrate your work.

09

Prepare for Interviews

Work on technical preparation, resume building and mock interviews.

10

Explore Career Opportunities

Prepare for Java development, full-stack, cloud and AI-integrated application roles.

CAREER OPPORTUNITIES

Career Options After Java Full Stack Training

The combined Java, AWS and AI skill set supports several software development and cloud-related career paths.

💻

Full Stack Java Developer

Develop complete frontend and backend applications.

☕

Java Developer

Build Java-based enterprise applications and services.

☁️

Cloud Engineer

Work with cloud infrastructure and application deployment.

⚙️

DevOps Engineer

Work with automation, CI/CD and deployment workflows.

🧠

AI Integrator

Integrate AI capabilities into software applications.

🏗️

Software Architect

Work towards application architecture and technical design roles.

🚀

Senior Full Stack Engineer

Take ownership of application features and development tasks.

📊

Cloud / Solution Architect

Explore scalable cloud application architecture and design.

🧩

MLOps Engineer

Explore deployment and monitoring workflows for machine learning models.

ELIGIBILITY

Who Can Join This Course?

The course is suitable for learners interested in software development and cloud technologies.

🎓
Engineering Graduates

Graduates interested in building software development skills.

👨‍💻
Aspiring Developers

Beginners interested in end-to-end application development.

💼
Working Professionals

Developers looking to expand their Java and cloud skills.

☕
Java Developers

Professionals who want to learn full-stack and AWS technologies.

☁️
Cloud Enthusiasts

Learners interested in application deployment on AWS.

🔄
Career Changers

Individuals interested in starting a software development career.

There are no strict prerequisites mentioned on the reference page. Basic programming logic can be helpful.

WHY JAVA + AWS + AI?

Core Benefits of Java, AWS & AI/ML Skills

Combine application development, cloud services and AI concepts in one learning journey.

📈

High Demand & Opportunities

Build a skill set relevant to software development, cloud and AI-integrated application roles.

🌐

Versatile Opportunities

Understand multiple layers of application development and cloud deployment.

🚀

Innovation at Scale

Explore AI-enabled applications and scalable cloud-based software solutions.

⚡

Faster Development Cycles

Understand automation and DevOps practices that support software delivery workflows.

🤖

Intelligent Automation

Explore AI-assisted development, testing and documentation concepts.

☁️

Cloud Scalability

Learn AWS services used for hosting, storage and application infrastructure.

🧰

Strong Technology Ecosystem

Work with Java libraries, AWS services and modern development tools.

🎯

Career Growth

Build foundations for developer, cloud and technical leadership career paths.

CIIT LEARNING EXPERIENCE

Why Choose CIIT Institute?

Learn through structured training, practical work and career-oriented preparation.

👨‍🏫

Expert Trainers

Training guidance from industry-experienced trainers.

🏢

Modern Infrastructure

Learning facilities and tools for an engaging experience.

📚

Comprehensive Curriculum

Course content covering current development technologies.

🗓️

Flexible Schedules

Weekday, weekend, online and classroom options.

🙋

Personalized Attention

Trainer guidance and support for doubt-solving.

🧪

Real-Time Project Training

Practical project work to apply technical concepts.

💼

Placement Assistance

Career support to help learners prepare for opportunities.

💰

Affordable Fees

Training options with flexible payment possibilities.

📖

Learning Materials

Learning resources for revision and continued practice.

🏅

Certification Guidance

Guidance for relevant Java and AWS certification preparation.

🎤

Mock Interviews

Practice technical and HR interview conversations.

📝

Resume Preparation

Guidance to present your skills and project experience.

✓
STUDENT ASSURANCE

5-Day Money-Back Guarantee

The reference page states that learners who are dissatisfied within the first five days can request a refund. Please confirm the current applicable enrolment and refund terms directly with CIIT Institute.

CAREER INSPIRATION

Our Alumni Work at Top MNCs & Indian Companies. So Can You!

Build practical skills, develop your portfolio and prepare for your next career opportunity.

Your Career Journey Starts with the Right Skills

Learn, practise, build projects and prepare for technical interviews with CIIT Institute.

Java Development Full Stack Development AWS Cloud DevOps AI / ML Project Portfolio
STUDENT EXPERIENCES

Our Learners' Success Stories

Explore feedback shared by learners about their experiences at CIIT Institute.

★★★★★

"Learning at CIIT has been a truly rewarding experience. Trainers are knowledgeable, approachable and always ready to help. Each topic is explained clearly."

Saurabh Lonkar Student Feedback
★★★★★

"One of the best institutes for students who want to start their career in IT. The CIIT team always supports and guides learners."

Vaibhav Saykar Student Feedback
★★★★★

"The course content was practical and well organized, helping me build strong development skills through the learning experience."

Ajay Wagh Student Feedback
BATCH INFORMATION

Java Full Stack Course Details

📅

Weekday Batch

Monday to Friday

Duration: 9 Months

🗓️

Weekend Batch

Saturday and Sunday

Duration: 12 Months

🏫

Training Mode

Classroom Training

Online Training

🌐

Training Languages

English, Hindi and Marathi

TAKE THE NEXT STEP

Start Your Java Full Stack Career with AWS & AI

Learn Java, Spring Boot, Microservices, AWS Cloud, DevOps and AI/ML through practical training.

Weekday: 9 Months | Weekend: 12 Months
CONTACT CIIT INSTITUTE

Visit Our Training Centres

Connect with CIIT Institute for course details and counselling.

Hadapsar, Pune

Office 109, 1st Floor, Manisha Blitz, Solapur - Pune Highway, above Samsung Service Center, near Shankar Math, Hadapsar Gaon, Hadapsar, Pune, Maharashtra 411013.

+91-7028565830 +91-9975751649

Viman Nagar, Pune

Office No. 3A, 1st Floor, Prakash Developers, Near Hotel Rasika, Pune Nagar Road, Vadgaon Sheri, Pune - 411014.

+91-7028561830 +91-7028565830

Baramati

Najmi Complex, Opposite Bus Stand, Indapur Road, Baramati - 413102.

+91-7378565351 +91-7028565830