Roadmap
🤖 Machine Learning Engineer
Take ML from classical algorithms to production deployment.
What you'll learn
Focused ML engineer track: less stats, more building & shipping models — including modern LLMs.
Who this is for
Developers and data scientists who want to become ML Engineers.
After completion you can
- Build & evaluate any ML model
- Fine-tune transformers
- Serve models at scale
- Pass ML interviews
Industry demand
2022
2023
2024
2025
Prerequisites
✅ Required
- • Python
- • Basic stats
Beginner · Month 1–2
ML Foundations
0/3 topics
0%
Intermediate · Month 3–4
Deep Learning
0/3 topics
0%
Advanced · Month 5–7
LLMs & Deployment
0/3 topics
0%
Projects to build
Project 1
End-to-end Classical ML
Real Kaggle problem solved start→finish.
scikit-learn
View project guide →
Project 2
Image Classifier
Transfer learning, deployed.
PyTorch
View project guide →
Project 3
RAG Chatbot
Talk to your own PDFs.
LangChain + Chroma + GPT
View project guide →
Project 4
LLM Fine-tune
Custom model for your domain.
HuggingFace + LoRA
View project guide →
Certifications
DeepLearning.AI Specializations
HuggingFace LLM Course
AWS Machine Learning Specialty
Career & salary
ML Engineer (Junior)
₹8L – ₹18L /yr
ML Engineer (Mid)
₹20L – ₹40L /yr
Senior ML / LLM Engineer
₹40L – ₹1Cr /yr