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Master the future of AI. Build intelligent applications using Large Language Models, prompt engineering, and cutting-edge Gen AI tools to create real-world solutions.
No matter your background, if you see yourself here - this course is designed for you!
Developers wanting to build AI products
Your Challenges:
Your Outcome:
Build AI-powered applications from scratch
ML Engineers wanting to upskill in GenAI
Your Challenges:
Your Outcome:
Master cutting-edge GenAI & LLM tech
Building AI products or features
Your Challenges:
Your Outcome:
Build your own AI product prototype
CS/IT graduates wanting cutting-edge career
Your Challenges:
Your Outcome:
Start career in hottest tech domain
Don't see yourself here? 🤔
No worries! Our courses are designed for anyone motivated to learn. If you're committed, we'll guide you from zero to job-ready!
Clear modules for career switchers — 4 + 3 + 5 + 4 weeks = 16 weeks total.
Tap a module to see full curriculum, projects & outcomes
Aptitude training runs in parallel all 16 weeks
What you'll learn
Outcome
Build foundational data science skills for AI and ML
Curriculum breakdown
Hands-on projects
Quantitative aptitude, logical reasoning, verbal ability, mock interviews, and resume building — alongside your technical modules.
Built for beginners with no tech background
Step-by-step from basics.
Simple language, not jargon.
Discord + weekly live sessions.
Recordings for working professionals.
Learn with a supportive cohort.
Aptitude, resume, mocks, referrals.
Ready to start your transition?
No coding experience required · Cohorts filling now
Our live online data science training follows a comprehensive learning path designed by industry experts to take you from beginner to job-ready Data Science professional
Industry-aligned modules with hands-on AI projects
This comprehensive program is designed for professionals and aspiring analysts who want to master data analytics
Data scientists looking to expand into cutting-edge Gen AI technologies and build intelligent AI-powered applications.
AI & Machine Learning
Build predictive models, work with large datasets, develop ML algorithms, create AI solutions
ML engineers who want to specialize in Generative AI, LLMs, and modern AI application development.
ML Model Development & Deployment
Design ML pipelines, train and deploy models, optimize model performance, integrate AI into products
Aspiring data scientists who want to master ML, analytics, and build intelligent data-driven applications.
Generative AI Applications
Build chatbots, create content generation systems, implement RAG, fine-tune LLMs, develop AI agents
Apply your skills to real-world challenges through industry-aligned capstone projects.
Predicting Customer Repeat Purchases & Revenue Drivers using Machine Learning on E-Commerce Data
Predicting the gender of a person using deep learning
Predicting customer purchase likelihood using machine learning to optimize marketing strategies and improve conversion rates
Build an intelligent conversational AI chatbot using Large Language Models and NLP to provide automated customer support and engagement
Develop an AI-powered system to automatically classify and categorize legal clauses in contracts using NLP and deep learning techniques for efficient document analysis
Intelligent PDF document chatbot built using Retrieval-Augmented Generation (RAG) architecture with Python and LangChain. This advanced system enables natural language querying of PDF documents by extracting text, creating vector embeddings, and implementing semantic search capabilities. The chatbot leverages Large Language Models to provide accurate, context-aware answers from document content, making it ideal for document Q&A, research assistance, and knowledge extraction from large PDF repositories.
AI-powered SQL query generator built with Retrieval-Augmented Generation (RAG), Python, and LangChain that converts natural language questions into optimized SQL queries. This intelligent system understands database schemas, table relationships, and business context to generate accurate, efficient SQL statements. The generator leverages RAG architecture to retrieve relevant schema information and uses Large Language Models to translate user intent into syntactically correct SQL queries, making database interactions accessible to non-technical users while ensuring query optimization and security.
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Everything you need to know about the online Data Science course