Data, AI, and Cloud Courses

Learn how to build advanced and effective machine learning models in Python using ensemble techniques such as bagging, boosting, and stacking.

Learn how to work with streaming data using serverless technologies on AWS.

Learn how to approach and win competitions on Kaggle.

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

In this course youll learn how to perform inference using linear models.

Learn to conduct image analysis using Keras with Python by constructing, training, and evaluating convolutional neural networks.

Learn how to manipulate data and create machine learning feature sets in Spark using SQL in Python.

Learn the gritty details that data scientists are spending 70-80% of their time on; data wrangling and feature engineering.

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

Create more accurate and reliable RAG systems with Graph RAG and hybrid RAG.

Extend your regression toolbox with the logistic and Poisson models and learn to train, understand, and validate them, as well as to make predictions.

Learn how to write recursive queries and query hierarchical data structures.

Learn to build pipelines that stand the test of time.

This course covers everything you need to know to build a basic machine learning monitoring system in Python

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

Build real-world applications with Python—practice using OOP and software engineering principles to write clean and maintainable code.

Build AI agentic workflows that can plan, search, remember, and collaborate, using LlamaIndex.

In this course youll learn techniques for performing statistical inference on numerical data.

Master Databricks with Python: learn to authenticate, manage clusters, automate jobs, and query AI models programmatically.

Learn how to load, transform, and transcribe speech from raw audio files in Python.

Sharpen your knowledge and prepare for your next interview by practicing Python machine learning interview questions.

In this course youll learn how to leverage statistical techniques for working with categorical data.

Develop a better intuition for advanced probability, risk assessment, and simulation techniques to make data-driven business decisions with confidence.

Get hands-on experience making sound conclusions based on data in this four-hour course on statistical inference in Python.

Learn how to write effective tests in Java using JUnit and Mockito to build robust, reliable applications with confidence.

Learn to analyze Airbnb data using SQL in Databricks, create dashboards, and derive actionable insights.

Learn how to use RNNs to classify text sentiment, generate sentences, and translate text between languages.

Learn tools and techniques to leverage your own big data to facilitate positive experiences for your users.

Learn key techniques to optimize Java performance, from algorithm efficiency to JVM tuning and multithreading.

Diagnose, visualize and treat missing data with a range of imputation techniques with tips to improve your results.