Complete AI Career Roadmap for India 2025

Your AI Career Path

This comprehensive roadmap will guide you from beginner to job-ready AI professional in 12-18 months.

Phase 1: Foundation (Months 1-4)

Programming

• Python fundamentals (2-3 weeks)
• Data structures and algorithms (4 weeks)
• SQL and databases (2 weeks)

Mathematics

• Linear Algebra (Khan Academy, 3Blue1Brown)
• Calculus basics for ML
• Probability and Statistics

Recommended Resources

• NPTEL Python Programming
• Codecademy Python Track
• Khan Academy Linear Algebra

Phase 2: Core ML (Months 5-8)

Machine Learning Basics

• Andrew Ng ML Course (Coursera)
• Hands-on with Scikit-learn
• Feature engineering

Deep Learning

• Neural Networks fundamentals
• PyTorch or TensorFlow (pick one)
• CNNs and RNNs basics

Projects

• Build 3-4 end-to-end ML projects
• Deploy at least one model
• Write about your projects

Phase 3: Specialize (Months 9-12)

Choose one specialization based on interest:

Option A: NLP

• Transformers and attention
• Hugging Face ecosystem
• LLM fine-tuning

Option B: Computer Vision

• Modern CNN architectures
• Object detection (YOLO, etc.)
• Image segmentation

Option C: MLOps

• Docker and Kubernetes
• MLflow, DVC
• CI/CD for ML

Phase 4: Job Ready (Months 13-18)

• Contribute to open source
• Build portfolio website
• Practice ML system design
• Network at meetups
• Apply strategically

Expected Salaries

Experience	Role	Salary Range
0-2 years	Junior ML Engineer	₹8-18 LPA
2-5 years	ML Engineer	₹18-40 LPA
5-8 years	Senior ML Engineer	₹40-70 LPA
8+ years	ML Lead/Principal	₹70-120 LPA