Where You Start
- No prior AI experience.
- Basic or no Python knowledge.
- Watching random tutorials.
- No practical AI projects.
- Unclear about the AI engineering career path.
COMING SOONFrom Beginner to
Production Ready AI Engineer Course
From Beginner to
Production-Level
AI Engineer
Self-Paced Recorded Program | Taught in Telugu
SELF-PACED • RECORDED • TELUGU
From Python Fundamentals to Industry-Level Agentic AI. A recorded course you learn at your own pace — replay lessons anytime during your access period, with practice exercises and assignments.
Language of Instruction: Telugu
Concepts explained in Telugu, with programming code and technical terminology in English where appropriate. The full course is currently being prepared; materials will be released progressively.
Learn Python, build real-world projects, master Generative AI and Agentic AI, and develop the practical skills required to build, deploy, and improve production-oriented AI applications.
From Python Fundamentals to Production-Ready Generative AI & Agentic AI. Follow a structured learning journey with 120+ hours of planned learning, hands-on practice, real-world projects, and career preparation.
Sangeeth KumarSenior AI EngineerFounder, AI School of IndiaFounder, Prepylon.ai
120+ Hours of Learning
5 Comprehensive Modules
Real-World AI Projects
Career Guidance & Placement Support
Your Journey to Becoming a Production-Level AI Engineer
A structured, hands-on learning path designed to take you from Python fundamentals to building, deploying, and improving real-world AI applications.
Where You'll Be Working Toward
- Building and deploying real-world AI applications.
- Working with modern AI tools and frameworks.
- Completing hands-on engineering projects.
- Building a professional GitHub portfolio.
- Preparing for AI engineering interviews.
- Developing production-oriented AI engineering skills.
Production Ready AI Engineer Course Curriculum
Explore the complete learning journey before enrolling, from Python programming to production-oriented Generative AI and Agentic AI applications.
5 Modules · 83 Topics120+ Hours of Learning
Planned learning durations, not verified recording lengths. Video, practice and assignments are planned activities; materials are released progressively.
| # | Topic | Duration | Learning Activities |
|---|---|---|---|
| 1 | Python Installation and VS Code Setup | 1h 25m | VideoPracticeAssignment |
| 2 | Introduction to Python | 1h 40m | VideoPracticeAssignment |
| 3 | Variables and Data Types | 1h 35m | VideoPracticeAssignment |
| 4 | Python Operators | 1h 30m | VideoPracticeAssignment |
| 5 | Type Conversion | 1h 20m | VideoPracticeAssignment |
| 6 | Conditional Statements — if, elif, else | 2h 10m | VideoPracticeAssignment |
| 7 | Loops — for and while | 2h 00m | VideoPracticeAssignment |
| 8 | Strings and String Operations | 1h 45m | VideoPracticeAssignment |
| 9 | Lists and List Operations | 1h 50m | VideoPracticeAssignment |
| 10 | Tuples | 1h 25m | VideoPracticeAssignment |
Programming exercises, real-world assignments, and Python mini-projects.
Build Real-World AI Engineering Projects
Go beyond theory and build a portfolio of practical AI applications that demonstrate your engineering skills.
AI Chat Assistant
Build a conversational AI chatbot with memory.
RAG Document Assistant
Build an AI assistant that answers questions from documents.
AI Research Agent
Build an autonomous research assistant using multiple tools.
Data Analysis Agent
Build an AI-powered data analysis and visualization application.
End-to-End AI Application
Build and deploy a full-stack AI application.
Everything You Need to Become a Production-Level AI Engineer
120+ Hours of Structured Learning
Real-World AI Projects
Hands-On Practice
Resume Preparation
LinkedIn & GitHub Profile Building
Interview Preparation
Career Guidance
Placement Assistance
Final Certification
Develop industry-relevant AI engineering skills and prepare for real AI engineering opportunities. Placement assistance does not guarantee employment. Certification is subject to program completion requirements.
Learn from an Industry AI Engineer
Sangeeth Kumar
- Founder — AI School of India
- Senior AI Engineer
- Master's in Data Science & AI
- Experience in Generative AI, Agentic AI, and LLM Applications
- Focused on Practical, Industry-Oriented AI Education
“My goal is to make AI education practical and accessible, helping learners develop the skills to build real-world AI applications and prepare for careers in AI engineering.”
Frequently Asked Questions
Clear answers for your next step.
Your Journey Toward Production-Level AI Engineering Starts Here
Coming Soon — Production Ready AI Engineer Course
Get structured learning, real-world projects, practical AI engineering experience, career guidance, and portfolio-building support.
Register your interest for free. Learn in Telugu; no payment is collected here.