Two focused learning paths designed for students, freshers and working professionals — taught in Simple Telugu with practical projects, modern AI tools and hands-on capstones.
Choose the path that matches where you are today.
A complete beginner-friendly path from Python and data foundations to Machine Learning, Deep Learning, Generative AI, Agentic AI and deployment.
A faster, advanced path for people who already code and want to build practical skills in APIs, applied ML/DL, Generative AI, RAG, Agentic AI and deployment.
A quick way to choose the best path for your current stage.
| AI Career Launchpad | AI Professional Accelerator | |
|---|---|---|
| Best For | Students & Freshers | Working Professionals |
| Duration | 6 Months | 4 Months |
| Modules | 8 | 7 |
| Live Classes | 188 Hours | 135 Hours |
| Capstones | 8 | 7 |
| Fee | ₹21,999 ₹35,000 | ₹19,999 ₹32,500 |
| Primary Journey | Foundations → Data → ML/DL → GenAI → Agentic AI → Deployment | Python → APIs → Applied ML/DL → Advanced GenAI → Agentic AI → Deployment & Career Edge |
Zero to AI Expert in 6 Months — 8 modules, 188 hours of live class time and 8 capstone projects, from Python foundations to Agentic AI and deployment.
Python Foundations
Syntax, data structures, OOP & real backend logic.
Statistics & Math
Probability, distributions & EDA fundamentals for AI/ML.
Data Analytics & SQL
SQL, Pandas, NumPy, Matplotlib & real business dashboards.
Machine Learning
Supervised learning, tree-based models & clustering.
Deep Learning
Neural networks, CNNs & transfer learning.
GenAI Engineering
LLM APIs, RAG pipelines & prompt engineering.
Agentic AI Development
LangGraph, CrewAI, MCP & multi-agent systems.
Deployment & Career Launch
Docker, cloud deployment & interview prep.
After completing the AI Career Launchpad, you'll have practical experience across the complete AI development journey.
A working Python developer's foundation
Real command of statistics & data analytics
A built-and-evaluated ML model
A fine-tuned deep learning model
A deployed GenAI RAG application
A working multi-agent system
One polished, live flagship project
8 portfolio pieces
Share your details and our team will contact you with upcoming batch information, course details and enrollment guidance.
Fast-Track to GenAI & Agentic AI — 7 modules, 135 hours of live class time and 7 capstone projects, from Python and APIs to production multi-agent systems.
Python Foundations
Syntax, data structures, OOP & real backend logic.
Advanced Python & APIs
NumPy, Pandas, async patterns & production-ready REST APIs.
Applied ML & DL
Practical, application-first machine learning and deep learning.
Generative AI Deep Dive
Advanced RAG, fine-tuning & multi-LLM provider strategy.
Agentic AI: Basics
Agent architecture, tool-calling & single-agent design.
Agentic AI: Advanced
LangGraph, CrewAI, MCP & production multi-agent systems.
Deployment & Career Edge
Cloud deployment, monitoring & senior AI role positioning.
After completing the AI Professional Accelerator, you'll have practical experience building and shipping modern AI systems.
A working Python developer's foundation
A production-ready API skillset
An applied ML/DL model shipped as a service
A production-grade RAG system
A working AI agent automating a real task
A multi-agent production system
A fully deployed agentic application
7 portfolio pieces ready for your manager or next interview
Share your details and our team will contact you with upcoming batch information, course details and enrollment guidance.
Learn difficult AI concepts through clear explanations in Simple Telugu.
Apply concepts through practical exercises, projects and capstones.
Learn from Python and Machine Learning through Generative AI, RAG and Agentic AI.
Understand how AI concepts move from notebooks into practical real-world applications.
Sangeeth Kumar
Founder & Lead Instructor, AI School of India
Sangeeth Kumar is an AI Engineer, educator, and the founder of AI School of India, with several years of professional experience working in Artificial Intelligence and Data Science.
He completed his Bachelor's degree from Vignan University in 2016 and later completed his Master's in Data Science and Artificial Intelligence. Throughout his professional career, he has worked with multiple organizations in AI and Data Science. He currently works as a Senior AI Engineer at one of the top MNCs.
He founded AI School of India with a simple mission: make Artificial Intelligence easier to understand and accessible to Telugu-speaking students and professionals. His teaching approach focuses on explaining complex concepts in Simple Telugu, connecting theory with practical implementation, and helping learners understand how AI systems are actually built in the real world.
Through AI School of India, he teaches learners across the complete AI journey — from Python, Data Analysis and Machine Learning to Generative AI, RAG and Agentic AI.
Building one of the growing Telugu AI learning communities
Backed by 8 years of training and mentoring students and working professionals in Data Science and AI.
1,100+
Freshers Placed
12 LPA
Highest Fresher Package
400+
Professionals Upskilled
Up to 200%
Career Hike Achieved
32 LPA
Highest Package Among Experienced Learners
7+ Years Experience
Career outcomes vary based on individual effort, prior experience, interview performance, role, organization and market conditions.
Whether you're starting your AI journey or already working in tech, we'll help you understand which learning path fits your current experience and career goals.
