Course Catalog

Level Up Your Machine Learning Career. Master the ML Fundamentals Employers Crave.

Build a high-performance movie recommender with Python. Master scalable recommendation techniques in this hands-on course. Expand your machine learning skills, whether you're a beginner or experienced.

Launch your machine learning career! Master the core concepts, terminology, and build your first Python model – all in one course.

Solidify your machine learning foundations with clear explanations, practical examples, and expert insights tailored for career advancement.

Master the top 10 machine learning algorithms and apply them to real-world challenges. Gain hands-on experience, build a movie recommender system, and acquire the essential skills to excel in your career.

Accelerate your AI skills: master supervised, unsupervised & reinforcement learning for real-world impact.

Master SVM kernels, learning theory, and unsupervised AI to build robust models that drive impact.

Master PCA, ICA, RL, LQR & SVD to unlock dimensionality reduction, optimal control and AI mastery.

Safely scale AI models in production with MLOps, LLMOps, Databricks governance and MLflow.

Master regression, classification, ensembles, and deploy a movie recommender to transform data into real insights.

Build practical ML skills, master core data science concepts & jumpstart a high-paying career.

Master core ML algorithms, automate predictions, and build a real-world movie recommendation app.

Master ML fundamentals, build Python regression models, and launch your AI career with real projects.

Build and deploy a production-grade movie recommender to boost your ML portfolio and career.

Transform raw data into actionable insights, automate analyses, and launch your AI career with Python.

Master core math, algorithms, and Python, build ML projects, and jumpstart a high-paying AI career.

This comprehensive roadmap from Data Science & AI expert Tatev Aslanyan delivers the fastest, most effective path to become job-ready in 2025.

Hands-on: clean data, visualize trends, and train linear regression to forecast housing prices.