AI Engineer
Visual AI Engineer learning path — phases, skills, tools, and milestones from beginner to job-ready.
Overview
The 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 & Math Foundations
Python programming, linear algebra, statistics, and calculus basics.
- Data analysis notebook
- Math refresher complete
Machine Learning Fundamentals
Supervised/unsupervised learning, model evaluation, scikit-learn.
- Kaggle beginner competition
- End-to-end ML pipeline
Deep Learning & Neural Networks
PyTorch/TensorFlow, CNNs, RNNs, and transfer learning.
- Image classifier
- Fine-tune pretrained model
LLMs & Generative AI
Transformers, prompt engineering, RAG, and fine-tuning LLMs.
- RAG chatbot
- Fine-tuned model
MLOps & AI Engineering
Deploy models, monitor drift, and build AI products in production.
- Deployed ML API
- Monitoring dashboard
AI System Design & Career
Design AI systems and land AI engineer roles.
- AI portfolio project
- Mock AI interviews