AI Engineer

Master the craft of building AI-powered applications — from ML fundamentals and LLMs to production deployment — and launch your career as an AI engineer.

4.9(612)3,1505 months#1
Machine Learning
LLMs
Python
Deep Learning
NLP
Computer Vision
MLOps
AI Engineer

What you'll learn

Understand ML fundamentals — from linear regression to neural networks

Build applications powered by LLMs, embeddings, and RAG pipelines

Deploy and monitor AI systems in production with MLOps best practices

Get hired as an AI/ML engineer at top companies in India and globally

What you'll earn

Earn an AI Engineering certification from evolv.guru

Get your AI portfolio and projects reviewed by senior ML engineers

Access exclusive AI tools, GPU credits, and API keys

1-on-1 mock AI/ML interview session

Join a curated community of aspiring and working AI engineers

What learners say

The LLM and RAG sections are the best I have seen anywhere. Practical, up-to-date, and covers exactly what you need to build AI apps in production.

A

Aditya Krishnan

ML Engineer at Google

From transformers to prompt engineering to MLOps, this covers the full AI engineer stack. The Indian language AI section was a unique bonus.

M

Meera Srinivasan

AI Researcher at IISc

Helped me transition from traditional ML to LLM-based applications. The agents and tool use section was exactly what I needed for my current project.

K

Karthik Rajan

Data Scientist at Flipkart