Expert-led AI & Machine Learning courses with real projects, real certificates, and real career outcomes — from foundations to production LLMs.
Earn a completion certificate and course badge for every track you finish.
SCORM lessons paired with real labs — prompt engineering, RAG pipelines, fine-tuning, and more.
Foundations → Practitioner → Production & LLMs. Start free, go as deep as you need.
Don't just take random courses. Follow a proven track, build real skills, and get job-ready.
From Python foundations to production LLMs — build, evaluate and ship machine learning systems with real projects at every stage.
Skills covered
Model, pipeline and visualise data at scale — from SQL and warehousing through to dashboards decision makers actually use.
Skills covered
Full stack engineering and the cloud platforms it runs on — build, deploy and operate applications end to end.
Skills covered
Move from manual testing to automation engineering — frameworks, API testing and CI pipelines that catch real defects.
Skills covered
Reach the right audience and prove it worked — search, content, paid channels and the analytics that tie them to revenue.
Skills covered
Start from zero: set up Python, explore data with pandas, and build your first predictive models. Covers classification, model evaluation and responsible AI, finishing with an end-to-end house-price capstone.
Go deeper into the algorithms behind real systems — decision trees, SVMs, random forests and ensembles — plus rigorous evaluation, clustering and neural networks with TensorFlow and Keras. Ends with a full classification pipeline.
Build and ship modern AI: CNNs, sequence models, transformers and attention, then LLMs, prompt engineering, embeddings, vector databases and RAG. Covers fine-tuning, responsible deployment and MLOps, ending with a deployed application.