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770+ free lessons · Real datasets & projects · 5 career paths · No sign-up

Learn Practical Data, AI & Engineering Skills

A clear, structured path for learning modern data, AI, software engineering, databases, cloud, and DevOps—through courses, lessons, labs, and real-world projects.

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Work with real datasets, code examples, labs, and projects that turn concepts into practical skills.

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Browse the course catalog

Comprehensive courses in data science, machine learning, and AI.

Popular: Python · Machine Learning · Generative AI · AI Agents · SQL

Course Python for Data Analytics From your first program to analysing real datasets. What's inside
  • Python Basics
  • Python Advanced
  • NumPy Fundamentals
  • +2 more modules
5 modules 71 lessonsBeginner View course
Course SQL & Databases Query, join and reshape data in real databases. What's inside
  • Getting Started with SQL
  • Summarizing Data with SQL
  • Combining Tables with Joins
  • +7 more modules
10 modules 53 lessonsBeginner View course
Course Statistics & Probability Reason about uncertainty, and test what you believe. What's inside
  • Statistics Fundamentals
  • Measures of Center & Variability
  • Probability Fundamentals
  • +2 more modules
5 modules 27 lessonsBeginner View course
Course Machine Learning Build, evaluate and tune real predictive models. What's inside
  • Math Foundations for ML
  • Machine Learning Foundations
  • Regression
  • +10 more modules
13 modules 77 lessonsIntermediate View course
Course Generative AI & LLM Engineering Ship applications on top of large language models. What's inside
  • Working with LLMs in Python
  • Prompt Engineering
  • Tool Use & Function Calling
  • +7 more modules
10 modules 52 lessonsIntermediate View course
Course Building AI Agents in Python Give a model tools, memory and a goal to finish. What's inside
  • Agent Foundations
  • The Agent Loop with Claude
  • Designing Tools
  • +5 more modules
8 modules 40 lessonsIntermediate View course
Course LLM Evaluation & Observability Prove an LLM app works — then watch it in production. What's inside
  • Why Evaluation Matters
  • Building Eval Datasets
  • Deterministic & Reference Metrics
  • +6 more modules
9 modules 41 lessonsAdvanced View course
Course PySpark for Data Engineering Process data far beyond one machine's memory. What's inside
  • Why Distributed?
  • SparkSession, RDDs & Lazy Evaluation
  • DataFrames & Transformations
  • +5 more modules
8 modules 36 lessonsIntermediate View course

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4

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