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Go from coder to machine learning engineer: advanced feature engineering, ensemble models, deep learning, and Generative AI for ML work.
8 modules · 47 lessons
Machine learning engineering in the real world, advanced feature engineering, advanced algorithms and ensemble mastery, deep learning foundations with PyTorch, applied deep learning in vision and language, evaluation and trustworthy ML, Generative AI for ML engineers, and a capstone end to end ML product.
Level up from writing ML code to engineering real machine learning products. This intermediate program from Ucanly takes practitioners with working knowledge of Python, Pandas, Scikit learn, and basic supervised learning into professional ML engineering: reproducible pipelines, advanced feature engineering, and ensemble mastery with XGBoost, LightGBM, and CatBoost tuned with Optuna. You will build deep learning foundations in PyTorch and apply them to computer vision and NLP with transfer learning and Hugging Face transformers. On evaluation, you will master SHAP based interpretability, calibration, and responsible ML. On the Generative AI side, you will build embeddings, RAG systems, and fine tune models with LoRA to accelerate your ML work. You will graduate having shipped an end to end machine learning product with an engineered pipeline, a tuned and explained model, a live API, and a Generative AI powered layer.
Complete this course to earn a verified Ucanly certificate you can add to your profile, share on LinkedIn, and showcase to employers as proof of the skills you've built.
It is recommended, but working knowledge of Python, Pandas, Scikit learn, and basic supervised learning is sufficient to start.
Yes, you will build neural networks from scratch in PyTorch and apply transfer learning and Hugging Face transformers to vision and language problems.
You will build embeddings and vector search, RAG systems over your own data, and fine tune models with LoRA to accelerate ML work.
An end to end machine learning product with an engineered pipeline, a tuned and explained model, a live API, and a Generative AI powered layer, mentored by Ucanly.