COURSE OVERVIEW

GenerativeAI

Build Intelligent Applications
From Prompts to Production

Master the technologies powering modern AI and gain hands-on experience building real-world applications using Python, Large Language Models, Prompt Engineering and Generative AI frameworks.

Python
TensorFlow
LLMs
Machine Learning
girl

Your Future
in Tech Starts Here

  • Industry-relevant curriculum
  • Expert mentors
  • Real-world projects
  • Placement support
  • Flexible learning
  • Certification
Duration 45 Days (Flexible Schedule)
Level Beginner to Advanced (No prior experience required)
Mode Online / Offline (Choose what works for you)
About the Course

What is Generative AI?

Generative AI refers to a class of artificial intelligence systems that can create new content, such as text, images, code, audio and video, by learning patterns from large amounts of data. At its core, Generative AI relies on deep learning architectures such as transformers, which power Large Language Models (LLMs) used for chatbots, content generation and reasoning tasks. Python is the primary language used to build and experiment with these systems, while frameworks like PyTorch and TensorFlow provide the tools to train and fine-tune models. Prompt Engineering allows developers to guide model behavior effectively, and techniques like retrieval-augmented generation connect models to real-world data. One of the major advantages of learning Generative AI is that these skills are reshaping nearly every industry today. Generative AI is widely used for building applications such as chatbots, content generation tools, image and code generators, virtual assistants, and intelligent automation systems. Its rapid growth, strong demand, and wide-ranging impact make Generative AI one of the most valuable skills to learn.

Learn More →

Python

The core programming language used to build and train AI models.

LLMs

Large Language Models that understand and generate human-like text.

Machine Learning

Learn how machines analyze data, recognize patterns, and make intelligent predictions.

Prompt Engineering

The craft of designing effective prompts to guide AI model behavior.

Together, these technologies help you build intelligent, real-world Generative AI applications.

Course Curriculum

Six structured modules that take you from the basics to a job-ready Generative AI developer.

01

Python & Math Basics

  • Python fundamentals
  • NumPy & Pandas
  • Linear algebra basics
  • Probability & statistics
02

Machine Learning

  • Supervised learning
  • Model evaluation
  • Feature engineering
  • Scikit-learn
03

Deep Learning

  • Neural networks
  • PyTorch & TensorFlow
  • CNNs & RNNs
  • Training & tuning
04

NLP & Transformers

  • Text preprocessing
  • Attention mechanism
  • Transformer architecture
  • Fine-tuning models
05

Generative AI & LLMs

  • Prompt engineering
  • LLM APIs
  • Retrieval-augmented generation
  • AI agents
06

Deployment

  • Model serving
  • API integration
  • Cloud & scaling
  • Monitoring models

Build Real AI Projects

Apply your learning with hands-on Generative AI projects and add real value to your portfolio.

AI Chatbot Assistant

  • LLM integration
  • Prompt design
  • Conversational memory

AI Content Generator

  • Text & image generation
  • RAG pipeline
  • Model deployment

Why Learn
Generative AI?

A complete skill set for building intelligent applications and launching your career in AI.

What You'll Learn

Build your skills step-by-step from the basics to real-world Generative AI development.

Generative AI Curriculum

A structured learning path to help you build real-world AI-powered applications.

Our Learning Process

A guided and practical approach to help you succeed.

01
Learn
Understand concepts
with expert guidance.
→
02
Practice
Hands-on coding
and exercises.
→
03
Build
Create real-world
projects.
→
04
Grow
Get mentorship,
feedback and career support.

Career Opportunities

Turn your Generative AI skills into a successful career.

AI
Engineer
ML
Engineer
NLP
Engineer
Prompt
Engineer
Data
Scientist
AI
Researcher
Generative AI
Developer

Skills You'll Build

  • Machine Learning
  • Deep Learning
  • Prompt Engineering
  • LLM & API Integration
  • Retrieval-Augmented Generation
  • Model Deployment
  • Problem Solving
  • Project Development

Get Certified &
Build Your Career

  • Course Completion Certificate
  • Resume Building Support
  • Interview Preparation
  • Career Guidance
💬 Let's Talk