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ADVANCE DIPLOMA In AI & Generative AI Course(M-AA&GAC-2615)

  • Last updated Sep, 2026
  • Certified Course
₹20,000 ₹25,000

Course Includes

  • Duration12 Months
  • Enrolled0
  • Lectures250
  • Videos0
  • Notes0
  • CertificateYes

What you'll learn

Advanced Diploma in AI, Programming, Web Development & Data Management – 12 Months is a career-oriented program designed to develop practical skills in Artificial Intelligence, Python, Java, Web Development, Database Management and Data Analytics.

Students will learn programming fundamentals and advanced concepts, develop responsive and dynamic websites, manage databases using SQL/MySQL, work with data, and explore modern AI and Generative AI tools. The course emphasizes hands-on practical training, real-world projects, problem-solving and application development.

By the end of the course, students will be able to build web applications, database-driven software, Python/Java projects and AI-powered applications, while developing a practical portfolio for further studies, freelancing and technology-related career opportunities.

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Course Syllabus

Module 1: Computer Fundamentals & AI Basics

  • Computer fundamentals
  • Hardware & software
  • Operating system basics
  • Internet and networking fundamentals
  • Introduction to Artificial Intelligence
  • AI, Machine Learning & Deep Learning
  • Applications of AI
  • AI tools and productivity
  • AI ethics and responsible AI

Module 2: Python Programming

  • Introduction to Python
  • Variables and data types
  • Input and output
  • Operators
  • Conditional statements
  • if, elif, else
  • for and while loops
  • Lists, tuples and dictionaries
  • Sets and strings
  • Functions
  • Modules and packages
  • File handling
  • Exception handling
  • Object-Oriented Programming
  • Practical Python projects

Module 3: Python for Data & AI

  • NumPy
  • Pandas
  • Data cleaning
  • Data processing
  • Matplotlib
  • Data visualization
  • Working with CSV/Excel data
  • Basic statistics
  • Introduction to Machine Learning with Python
  • Scikit-learn fundamentals
  • ML mini projects

Module 4: Java Programming

  • Introduction to Java
  • JDK, JRE and JVM
  • Variables and data types
  • Operators
  • Conditional statements
  • Loops
  • Arrays
  • Strings
  • Methods
  • Classes and Objects
  • Constructors
  • Encapsulation
  • Inheritance
  • Polymorphism
  • Abstraction
  • Interfaces
  • Exception handling
  • Collections
  • File handling
  • Java practical projects

Module 5: Web Development – Frontend

  • Internet and web fundamentals
  • HTML5
  • Text, links and images
  • Tables and forms
  • HTML5 semantic elements
  • CSS3
  • Selectors
  • Colors, fonts and backgrounds
  • Box model
  • Flexbox
  • Grid
  • Responsive web design
  • Bootstrap
  • JavaScript fundamentals

Module 6: Advanced Web Development

  • JavaScript variables and data types
  • Operators
  • Conditions and loops
  • Functions
  • Arrays and objects
  • DOM manipulation
  • Events
  • Form validation
  • JSON
  • Fetch API
  • Working with APIs
  • Dynamic web pages
  • Website projects

Module 7: Data Management & MySQL

  • Database concepts
  • DBMS and RDBMS
  • Database design
  • MySQL installation and setup
  • Creating databases and tables
  • Data types
  • Primary and foreign keys
  • SQL commands
  • SELECT, INSERT, UPDATE, DELETE
  • WHERE, ORDER BY, GROUP BY
  • Aggregate functions
  • Joins
  • Subqueries
  • Relationships
  • CRUD operations
  • Database projects

Module 8: Data Analytics

  • Introduction to Data Analytics
  • Data collection
  • Data cleaning
  • Excel fundamentals
  • Advanced Excel
  • Charts and dashboards
  • Pivot Tables
  • Data analysis with Python
  • Pandas data analysis
  • Power BI fundamentals
  • Reports and dashboards
  • Practical data analytics project

Module 9: Artificial Intelligence & Machine Learning

  • AI fundamentals
  • Machine Learning concepts
  • Supervised learning
  • Unsupervised learning
  • Regression
  • Classification
  • Decision Trees
  • KNN
  • Clustering
  • Model training and testing
  • Accuracy and evaluation
  • Basic predictive models
  • Machine Learning projects

Module 10: Generative AI & Prompt Engineering

  • Introduction to Generative AI
  • Large Language Models
  • ChatGPT, Gemini and other AI tools
  • Prompt Engineering
  • Zero-shot and few-shot prompting
  • AI for coding
  • AI for content creation
  • AI for data analysis
  • AI image and presentation tools
  • AI productivity workflows
  • AI API concepts

Module 11: AI Application Development

  • AI-powered web applications
  • Connecting AI APIs with applications
  • Python + AI integration
  • JavaScript + AI integration
  • Chatbot development
  • AI document assistant
  • AI-based data analysis
  • Introduction to embeddings
  • RAG concepts
  • AI automation
  • Basic AI agent concepts

Module 12: Project, Portfolio & Career Development

  • Project planning
  • Requirement analysis
  • Database design
  • Frontend development
  • Backend/application integration
  • AI integration
  • Testing and debugging
  • Git & GitHub basics
  • Project documentation
  • Portfolio creation
  • Resume preparation
  • Interview preparation
  • Final Capstone Project

🎯 Practical Projects

  1. Student Management System
  2. Library Management System
  3. Personal Portfolio Website
  4. Responsive Business Website
  5. Java Management Application
  6. Python Data Analysis Project
  7. MySQL Database Project
  8. Power BI Dashboard
  9. Machine Learning Prediction Project
  10. AI Chatbot
  11. AI-Powered Web Application
  12. Final Integrated AI Project


Eligibility

Who can apply for this course

Minimum Qualification: 12th Pass (Higher Secondary) or Equivalent

Course Fees

Course Fees
:
₹25000/-
Discounted Fees
:
₹ 20000/-
Course Duration
:
12 Months

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