Zero to AI Engineer in 6 Months Stepwise Roadmap

Zero to AI Engineer in 6 Months – The Roadmap

Are you an aspiring AI/GenAI Engineer struggling to figure out where to start, what to study, and how to build the right projects? This 6-Month AI/GenAI Engineer Roadmap is designed as a step-by-step, practical learning path to help students and professionals transition into the world of AI, Large Language Models (LLMs), Generative AI, and MLOps.

Why this roadmap?

1. Cuts through the noise with a clear month-by-month learning plan.
2. Focuses on hands-on skills that top product-based companies look for.
3. Includes resources, tools, and project ideas to build a strong portfolio.
4. Designed for beginners and intermediate learners who want to become job-ready in AI/GenAI.

What you’ll get in this roadmap

1. Month 1 – Python Foundations
2. Month 2 – ML Foundations
3. Month 3 – NLP & LLMs
4. Month 4 – MLOps
5. Month 5 – RAG & AI Agents
6. Month 6 – AI Engineering at Scale

Key Highlights

1. Covers Python → ML → NLP → LLMs → MLOps → RAG/Agents → AI Engineering in a structured path.
2. Each module comes with focus areas (what to study deeply), recommended resources (books, YouTube, repos), and practical projects.
3. Special emphasis on RAG (Retrieval-Augmented Generation) and AI Agents, the most in-demand areas in 2025.
4. Helps you prepare for interviews, internships, or AI-focused product roles.

Who is this roadmap for?

1. Students aiming to break into AI/GenAI roles.
2. Software engineers looking to transition into AI.
3. Professionals who want to upskill in GenAI, LLMs, and MLOps.

By the end of this roadmap, you will not only understand the core AI/GenAI concepts but also have a portfolio of projects to showcase your skills to recruiters and hiring managers.

This roadmap is your shortcut to clarity in the overwhelming world of AI. Instead of scattered learning, you’ll follow a proven, structured path that builds confidence and job-ready skills in just 6 months.