Structured AI Courses.
Built for Real Careers.
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.
- Simple Telugu Learning
- Live Instructor-Led Classes
- Practical Projects
- Capstone-Based Learning
Two Programs. Built for Different Starting Points.
Choose the path that matches where you are today.
AI Career Launchpad
A complete beginner-friendly path from Python and data foundations to Machine Learning, Deep Learning, Generative AI, Agentic AI and deployment.
- ≈ 6 Months
- 25 Weeks≈ 6 Months
- Live Classes
- 188 HoursLive Classes
- Capstones
- 8Capstones
AI Professional Accelerator
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.
- ≈ 4 Months
- 16 Weeks≈ 4 Months
- Live Classes
- 120 HoursLive Classes
- Capstones
- 6Capstones
Compare the Two Programs
A quick way to choose the best path for your current stage.
| AI Career Launchpad | AI Professional Accelerator | |
|---|---|---|
| Best For | Students & Freshers | Working Professionals |
| Starting Level | Beginner / little or no programming background | Already comfortable with coding |
| Duration | 25 Weeks / ≈6 Months | 16 Weeks / ≈4 Months |
| Live Classes | 188 Hours | 120 Hours |
| Capstones | 8 | 6 |
| Primary Goal | Build a complete AI foundation and portfolio | Upskill quickly into modern applied AI systems |
AI Career Launchpad
Zero to AI Expert — Python, statistics, data analytics, Machine Learning, Deep Learning, Generative AI and Agentic AI, with deployment. Built for someone starting with little or no programming background.
- ≈ 6 Months
- 25 Weeks≈ 6 Months
- Live Classes
- 188 HoursLive Classes
- Portfolio Projects
- 8 CapstonesPortfolio Projects
Learning Journey
- 01
Python & Programming
- 02
Data & Statistics
- 03
Machine Learning
- 04
Deep Learning
- 05
GenAI & RAG
- 06
Agentic AI
- 07
Deployment & Career Launch
- 08
Final Capstone / Portfolio Project
Complete Curriculum (8 Modules)
What You'll Walk Away With
After completing the AI Career Launchpad, you'll have practical experience across the complete AI development journey.
Python Foundation
Write structured Python programs and work confidently with data.
Data & Analytics
Clean, analyze and visualize real-world datasets.
Machine Learning
Build, evaluate and improve Machine Learning models.
Generative AI & RAG
Build practical applications using LLMs, embeddings and retrieval.
AI Agents
Design practical agentic and multi-agent workflows.
AI Portfolio
Showcase capstones and a flagship AI project.
Interested in AI Career Launchpad?
Share your details and our team will contact you with upcoming batch information, course details and enrollment guidance.
AI Professional Accelerator
Advanced Python & APIs, applied Machine Learning / Deep Learning, Generative AI in depth, and Agentic AI from basics to advanced, with deployment. Built for people who already code and want to move fast.
- ≈ 4 Months
- 16 Weeks≈ 4 Months
- Live Classes
- 120 HoursLive Classes
- Portfolio Projects
- 6 CapstonesPortfolio Projects
Learning Journey
- 01
Advanced Python & APIs
- 02
Applied ML & DL
- 03
GenAI & RAG
- 04
AI Agents
- 05
Advanced Agentic AI
- 06
Deployment / Capstone
Complete Curriculum (6 Modules)
What You'll Walk Away With
After completing the AI Professional Accelerator, you'll have practical experience building and shipping modern AI systems.
API Development
Build practical Python APIs for AI applications.
Applied ML & DL
Build and expose ML/DL models through practical services.
Production RAG
Build practical retrieval-augmented generation applications.
AI Agents
Create agents that automate real workflows.
Multi-Agent Systems
Design coordinated agent workflows.
Deployed AI Application
Build a demonstrable advanced AI application/case study.
Interested in AI Professional Accelerator?
Share your details and our team will contact you with upcoming batch information, course details and enrollment guidance.
Learn AI the Practical Way
Simple Telugu. Complex Concepts Made Easy.
Learn difficult AI concepts through clear explanations in Simple Telugu.
Learn by Building
Apply concepts through practical exercises, projects and capstones.
Modern AI Curriculum
Learn from Python and Machine Learning through Generative AI, RAG and Agentic AI.
Industry-Oriented Learning
Understand how AI concepts move from notebooks into practical real-world applications.
Learn From Someone Who Builds AI in the Real World
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
Let's Find the Right Path for Your Goals.
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.