Free AIML Course – Learn AI & ML Online
You don't need to spend thousands on a bootcamp to learn AI and machine learning. Back Propagation is a free AIML course built as a structured, self-paced curriculum — covering everything from Python basics to deploying production AI systems.
What makes this different from other AI/ML courses?
Most AI courses either go too shallow (YouTube crash courses) or too deep too fast (university-style lectures). This AI/ML course is structured like how a working engineer would actually learn: start with what you need to get unstuck quickly, build progressively, and apply knowledge to real projects throughout. Every topic links to the best free resource for that specific concept — no filler.
Course curriculum overview
Foundations
Python for ML, NumPy, Pandas, statistics, and probability. Set up your environment and get comfortable with data manipulation.
Machine Learning
Supervised and unsupervised learning, feature engineering, model evaluation, and the most important classical algorithms.
Deep Learning
Neural networks from scratch, PyTorch, CNNs, sequence models, and the transformer architecture that powers modern AI.
LLMs & Applied AI
Working with language models, prompt engineering, building RAG pipelines, and creating AI agents with tool use.
Career Prep
Portfolio projects, system design for ML, and preparing for technical interviews at AI-first companies.
Who is this AI/ML course for?
This course works well whether you're a CS student in a CSE AIML specialization wanting supplementary practice, a software engineer pivoting into machine learning, or a complete beginner drawn to the field. The early phases assume only basic programming knowledge; later phases assume you've completed what came before.
Pair the course with the interview question bank as you go, and check the jobs board once you reach Phase 4. Supplementary material lives in the resources library.
Start the Free Course