Курсы по данным, искусственному интеллекту и облачным технологиям

• ПередовойУровень мастерства
• 4.5+
• 3.8K

Explore data structures such as linked lists, stacks, queues, hash tables, and graphs; and search and sort algorithms!

• ПередовойУровень мастерства
• 4.6+
• 3K

Learn how to implement and schedule data engineering workflows.

• ПередовойУровень мастерства
• 4.7+
• 2K

Learn the fundamentals of working with big data with PySpark.

• ПередовойУровень мастерства
• 4.5+
• 2K

Dive in and learn how to create classes and leverage inheritance and polymorphism to reuse and optimize code.

• ПередовойУровень мастерства
• 4.6+
• 1.6K

Build powerful multi-agent systems by applying emerging agentic design patterns in the LangGraph framework.

• ПередовойУровень мастерства
• 4.5+
• 1.6K

Master Git’s advanced features to streamline data science and engineering workflows, from complex merging to large-scale project optimization.

• ПередовойУровень мастерства
• 4.5+
• 1.5K

Start your reinforcement learning journey! Learn how agents can learn to solve environments through interactions.

• ПередовойУровень мастерства
• 4.4+
• 1.4K

Apply PyTorch to images and use deep learning models for object detection with bounding boxes and image segmentation generation.

• ПередовойУровень мастерства
• 4.5+
• 1.4K

Master Python testing: Learn methods, create checks, and ensure error-free code with pytest and unittest.

• ПередовойУровень мастерства
• 4.4+
• 1.3K

Take your dbt skills to the next level with this hands-on course designed for data engineers and analytics professionals.

• ПередовойУровень мастерства
• 4.6+
• 1.2K

Learn how to use MLflow to simplify the complexities of building machine learning applications. Explore MLflow tracking, projects, models, and model registry.

• ПередовойУровень мастерства
• 4.5+
• 1.1K

What makes LLMs tick? Discover how transformers revolutionized text modeling and kickstarted the generative AI boom.

• ПередовойУровень мастерства
• 4.5+
• 957

This course focuses on feature engineering and machine learning for time series data.

• ПередовойУровень мастерства
• 4.7+
• 950

Learn how to make predictions from data with Apache Spark, using decision trees, logistic regression, linear regression, ensembles, and pipelines.

• ПередовойУровень мастерства
• 4.6+
• 942

In this course, you’ll explore the modern MLOps framework, exploring the lifecycle and deployment of machine learning models.

• ПередовойУровень мастерства
• 4.7+
• 884

Build your OOP skills with descriptors, multilevel inheritance, and abstract base classes!

• ПередовойУровень мастерства
• 4.7+
• 871

Learn how to use FastAPI to develop APIs that support AI models, built to meet real-world demands.

• ПередовойУровень мастерства
• 4.5+
• 850

Learn how to clean data with Apache Spark in Python.

• ПередовойУровень мастерства
• 4.4+
• 779

Discover the exciting world of Deep Learning for Text with PyTorch and unlock new possibilities in natural language processing and text generation.

• ПередовойУровень мастерства
• 4.5+
• 753

Elevate your Machine Learning Development with CI/CD using GitHub Actions and Data Version Control

• ПередовойУровень мастерства
• 4.4+
• 707

In this interactive course, you’ll learn how to use functions for your Tableau calculations and when you should use them!

• ПередовойУровень мастерства
• 4.6+
• 679

Prepare for your next coding interviews in Python.

• ПередовойУровень мастерства
• 4.6+
• 647

Learn how to transform raw data into clean, reliable models with dbt through hands-on, real-world exercises.

• ПередовойУровень мастерства
• 4.7+
• 596

Learn how to build intelligent agents that reason, act, and solve real-world tasks using Python.

• ПередовойУровень мастерства
• 4.6+
• 583

Learn and use powerful Deep Reinforcement Learning algorithms, including refinement and optimization techniques.

• ПередовойУровень мастерства
• 4.6+
• 537

Learn about risk management, value at risk and more applied to the 2008 financial crisis using Python.

• ПередовойУровень мастерства
• 4.7+
• 532

Learn about ARIMA models in Python and become an expert in time series analysis.

• ПередовойУровень мастерства
• 4.6+
• 525

Learn techniques to extract useful information from text and process them into a format suitable for machine learning.

• ПередовойУровень мастерства
• 4.4+
• 525

Learn how to make GenAI models truly reflect human values while gaining hands-on experience with advanced LLMs.

• ПередовойУровень мастерства
• 4.5+
• 507

Learn how to design, automate, and monitor scalable forecasting pipelines in Python.