Generative AI Engineer
Visual Generative AI Engineer learning path — phases, skills, tools, and milestones from beginner to job-ready.
Overview
The Generative AI Engineer roadmap on Toolliyo Academy is a step-by-step visual learning path designed for developers who want clarity—not confusion. Each phase builds on the previous one with skills, tools, milestones, and links to free tutorials on Toolliyo.
Whether you are switching careers or leveling up as a ai & machine learning professional, follow this roadmap in order. Track your progress, build portfolio projects, and earn verifiable certificates as you complete Toolliyo courses and quizzes.
Visual learning path
Python & ML Basics
Python, NumPy, and ML fundamentals before GenAI.
- ML baseline project
Transformers & LLM Foundations
Attention mechanism, transformer architecture, tokenization.
- Fine-tune small LLM
Prompt Engineering & RAG
Prompt patterns, vector DBs, retrieval-augmented generation.
- Production RAG chatbot
Fine-tuning & LoRA
PEFT, LoRA, RLHF concepts, domain adaptation.
- Domain-specific fine-tuned model
GenAI Application Development
Build apps with streaming, agents, multimodal inputs.
- GenAI SaaS MVP
MLOps for GenAI
Deploy LLM apps, monitor costs, guardrails, observability.
- Monitored production GenAI app
Career & Ethics
GenAI engineer interviews, responsible AI, portfolio.
- GenAI portfolio + case studies