Eligibility: BE | BTech | MCA | MCS | MCM | MSc | BCA | BCS | BSc (Any Graduate with Logical Aptitude)
Post Graduate Program in AI-Integrated Full Stack Development - Java
About Profound's AI-Integrated Full Stack Java Program?
Aspiring to become a next-generation developer? Join Profound Edutech's Post Graduate Program in AI-Integrated Full Stack Development - Java, and master the art of building intelligent, enterprise-grade applications!
What is AI-Integrated Full Stack Development?
It is the combination of traditional full-stack development (frontend + backend + databases) with Artificial Intelligence and Machine Learning capabilities. This program teaches you to build complete web applications using Java, Spring Boot, and React, while also integrating AI-powered features like predictions, recommendations, automation, and smart decision-making using Python and ML models.
Profound's PGP program comprises learning Core Java, Advanced Java, Spring, Hibernate, Spring Boot, ReactJS, Python, Data Science, Machine Learning, Deep Learning, and Generative AI. It is a complete learning package to help you become a comprehensive, industry-ready professional!
Why you must learn AI-Integrated Full Stack Java?
- Strong Demand: Companies prefer professionals who can handle both software development and intelligent application features.
- Develop Intelligent Applications: Build apps with predictions, recommendations, automation, and smart decision-making.
- Enterprise Strength: Java and Spring Boot ensure secure, scalable applications for large organizations.
- Higher Salary Potential: Multi-skilled professionals command better placement packages and faster career growth.
- Future-Ready: Prepare for Generative AI, intelligent automation, and next-gen technologies.
What will you learn in this Program?
- Build complete web applications using Java Full Stack technologies.
- Create responsive front-ends with HTML, CSS, JavaScript, ReactJS, and modern UI frameworks.
- Write efficient Python programs for data analysis and AI workflows.
- Manipulate large datasets using NumPy and Pandas.
- Build and evaluate Machine Learning models for regression, classification, and clustering.
- Understand LLMs, Prompt Engineering, and Generative AI concepts.
Programs Offered by Profound Edutech :
1. Post Graduate Program in AI-Integrated Full Stack Development - Java (Comprehensive 6-8 Months Program)
2. Executive Program in AI-Integrated Full Stack Development - Java (Accelerated 4-5 Months Program)
So, don't spend time searching for the best institute. Learn AI-Integrated Full Stack Java with Profound Edutech and pave the way to a successful, lucrative, and prospering career as a next-gen developer. Enroll today!
Program Offerings
# Duration: 6-8 Months (4-5 hrs daily / Weekend batches available)
# Covers Full Stack Java (Core to Spring Boot) + ReactJS + Python + AI/ML + Gen AI
# Softskills & Aptitude Training
# Capstone Project with AI Integration
# Internship Letter & Project Certificate
# Priority Placements with Top MNCs
Pre-requisite: Basic Knowledge of Programming (C/C++ recommended but not mandatory). Zeal to learn AI and modern development.
PGP AI-Integrated Full Stack Java - Course Curriculum
Program Overview
- Introduction to OS & Networking
- Overview of Operating System, Process & Thread, Memory Management
- Network Basics, Classification, Topologies, Protocols, TCP/IP
- Database Fundamentals & SQL
- Introduction to Database, Normalization, SQL statements
- Built-in functions, Group functions, Joins, Sub-queries, SET operators
- Manipulating data, Transaction management, Schema objects
- Introduction to PL/SQL
- C Programming (Foundation)
- Introduction to Programming, Data Types, Operators
- Compilation, Linking, Execution, Debugging, IDE
- Console I/O, Control Structures, Functions, Arrays
- Object Oriented Programming Concepts
- What is OOP, Need for OOP, Object characteristics, Classes & Object creation
- (Mini Project)
- Introduction to Java
- Features, Setting Environment, Java Architecture (JVM, JIT, ClassLoader)
- Data Types, Variables, Operators, Statements
- OOPs in Java
- Classes & Objects, Abstraction, Encapsulation, Access Modifiers, static
- String Handling, Packages, Polymorphism, Inheritance, Method Overloading/Overriding
- Abstract class, Interface, Inner class, Annotations, Reflection, Wrapper classes
- Exception Handling
- Try-catch, throw, throws, custom exception, assertion
- Multithreading
- Thread lifecycle, synchronization, inter-thread communication, deadlock
- I/O & File Handling
- Byte/Character streams, Serialization, java.nio
- GUI Programming (Swing)
- Collection Framework
- Generics, Set, List, Map, Comparable vs Comparator
- JDBC
- JDBC Architecture, Drivers, Statement vs PreparedStatement, Transaction Management
- Stored Procedures, ResultSetMetaData, DatabaseMetaData, DAO Design Pattern
- JSP
- JSP Lifecycle, Scripting Elements, Directive Tags, Action Tags, Implicit Objects
- (Mini Project)
- Introduction
- ORM, Hibernate Architecture, CRUD operations, Annotations, Mapping (Inheritance, Collection)
- HQL, Criteria API, Caching (First level & Second level)
- Introduction to Spring
- Spring Introduction, Modules, Dependency Injection, IoC Container, Bean lifecycle
- Spring Core
- Collection Injection, Constructor Injection
- Spring DAO
- Spring JDBC Template, HibernateTemplate, Integrate Spring with Hibernate
- Spring MVC
- DispatcherServlet, Request Processing life cycle
- Spring AOP
- Cross-cutting concerns, Aspect, Joint Point, Advice
- Introduction to Spring Boot
- Dependency Management using POM.xml, CommandLineRunner
- ORM with JPA, Spring MVC with Boot, REST API development
- Spring Boot Security, Microservices
- AI Capabilities Integration, AI Models, functionality
- (Mini Project)
- HTML 5
- HTML Basics: Structure, Elements and Attributes, Forms, Tables, Images
- CSS 3
- Selectors, Properties, Box Model, Flexbox, Grid, Animations
- Introduction to Bootstrap
- Grid System, Components (Navbar, Cards, Modals, Carousel), Plugins
- JavaScript Language basics, Variables, Data Types, Functions, Operators
- Control flow, DOM Manipulation, Events, OOPs in JavaScript
- (Mini Project)
- TypeScript as Programming Language for Angular, Classes, Interfaces, Decorators
- What is React?
- React Features, Component Based Architecture, Life Cycle, State & Props
- Working with JSX, React Hooks, React Forms, Routing, CRUD operations
- What is Angular?
- Components, Directives, Data Binding, Pipes, Services, Dependency Injection
- HTTP Client, Routing, Modules, Forms, Testing
- (Mini Project)
- Intro to Node.js, NodeJS Basics, Modules, File System
- Express Framework, RESTful APIs, Database Connectivity
- Introduction to MongoDB
- Mongo Shell, CRUD operations, Index, Aggregation
- Core Python
- Installation, Variables, Operators, Data Types, Control Flow, Loops, Functions
- Collections (List, Tuple, Set, Dict), OOPs, Modules, Exception Handling, File I/O
- Advance Python (Data Analysis)
- NumPy (Arrays, Indexing, Operations)
- Pandas (Series, DataFrame, Data Operations, I/O)
- Data Visualization
- Matplotlib (Plots, Customization)
- Seaborn (Distribution, Category, Matrix Plots)
- What is Machine learning?
- Machine Learning Methods - Predictive Models, Descriptive Models
- Regression
- Simple Linear Regression, Multiple Linear Regression, Bias-Variance trade-off
- Classification
- Logistic Regression, K-Nearest Neighbors (K-NN), SVM, Decision Trees, Random Forest
- Clustering
- K-means, Hierarchical, DBSCAN
- Dimensional Reduction
- Linear discriminant analysis, Principal component analysis
- Neural Networks
- Introduction, Backpropagation, Math behind NN
- CNN (Convolutional Neural Networks)
- Image processing, Convolution, Applications, Fine-tuning
- RNN (Recurrent Neural Networks)
- Time series and text analytics applications
- NLP with Deep Learning
- Text representation, Classification, Sentiment analysis, Grammar detection
- What is Gen AI? History and trends
- Difference between Discriminative vs Generative Models
- LLMs overview: GPT, Gemini, Claude, LLaMA, Falcon
- Pre-training, Fine-tuning, RLHF
- ChatGPT (OpenAI), Google Gemini
- Hugging Face Transformers (beginner), LangChain (Intro)
- Prompt Engineering Basics
- Text summarizer using ChatGPT API
- Conversational bot for CSV file (Q&A using ChatGPT)
- Generating synthetic data for ML training
- Gen AI for report creation & code debugging
- Personality Development
- Communication Skills
- Body Language
- Presentation Skills
- Leadership Skills
- Group Discussions-Techniques Dos, Donts
- Interviews- Techniques, Dos, Donts, FAQs
- Resume Writing
- Quantitative Aptitude
- Numbers(HCF & LCM), Interests and Partnerships, Ratio & Proportion
- Mixtures & Allegations, Profit & Loss, Time, Speed & Distance, Time & Work
- Mensuration, Permutations & Combinations, Average, Percentages
- Reasoning
- Logical Reasoning, Probability, Coding-Decoding, Series
- Directions, Blood Relations, Clocks & Calenders
- Verbal
- Analogy & Odd Man Out, Antonyms & Synonyms
- Reading Comprehension, One Word substitution & Idioms phrase
- Expert guidance on resume building to highlight key achievements
- Linkedin Profile Creation & Training
- Web Portfolio building to effectively showcase projects
- Technical Assignments, Technical Test, Technical Mock Interview
International Certification: Guidance for International Certifications (Oracle Java, AWS, etc.)
Capstone Project / Incubation
- Full Stack Application Development using Java, Spring Boot, and React with Integration of AI & ML Features.
- Project Development Following Agile Methodology: Sprint Planning, Task Allocation, Iterative Development.
- Requirement Gathering, Business Problem Analysis, Application Architecture, Database Design.
- REST API Development, Frontend-Backend Integration, Git Version Control.
- Data Processing & Visualization using Python Libraries, AI Model Integration into Full Stack Apps.
- Testing, Debugging, Performance Optimization, Deployment & Project Demonstration.
Batch Schedule
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Why choose Profound Edutech for AI-Integrated Full Stack Java Program?
- Industry-Oriented Program aligned with current technology trends and market needs.
- In-depth training in Frontend, Backend, Database, API, and AI/ML technologies.
- Practical learning of Python for AI and Machine Learning applications.
- Real-time project development in Full Stack and AI-enabled applications.
- Practical exposure to data analysis, processing, and visualization.
- Skill development for emerging technologies like Generative AI and Intelligent Automation.
- Expert faculty with real-world experience.
- 100% placement assistance with top MNCs.
How this Program is Different from other Java Classes in Pune?
- Only program in Pune that integrates Full Stack Java with AI, ML, and Generative AI.
- Strong focus on placement with proven track record of students placed in MNCs.
- Curriculum designed by industry experts to meet current job market demands.
- One-on-one attention from trainers.
- Well-equipped classrooms and ample lab facility available free of charge.
- Extensive hands-on with guided lab sessions to remove coding fear.
- Real-time projects with AI integration following Agile methodology.
- Exhaustive tests, online MCQ practice, coding rounds preparation.
- Emphasis on soft skills and interview preparation.
- Graduates become industry-ready for roles like Java Full Stack Developer, AI Developer, ML Engineer.
PGP AI-Integrated Full Stack Java - FAQs
Basic knowledge of programming (C/C++ recommended but not mandatory). A logical mindset and eagerness to learn AI and modern full stack development. Any graduate (BE, BTech, MCA, BCA, BSc, etc.) can apply.
This combination is highly demanded by industry. You can build complete enterprise applications and also add intelligent features like predictions, recommendations, and automation, making you a versatile and valuable professional.
The comprehensive Post Graduate Program is of 6-8 months duration (4-5 hours daily or weekend batches).
You will work on a Capstone Project that involves building a full stack application using Java, Spring Boot, React, and integrating AI/ML features. Case studies include Customer Churn Prediction, Movie Recommendation System, AI Chatbot, Sentiment Analysis, Loan Approval Prediction, and Fake News Detection.
We provide 100% placement support including resume building, LinkedIn profile optimization, mock interviews, aptitude and coding test preparation, and access to our recruitment network with top MNCs like ATOS, IBM, QuickHeal, and many more.