Data, AI, and Cloud Courses

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

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

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

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

Manage the complexity in your code using object-oriented programming with the S3 and R6 systems.

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

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

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

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

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

Learn to build pipelines that stand the test of time.

In this course you will learn to fit hierarchical models with random effects.

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

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

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

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

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

Learn how to reduce training times for large language models with Accelerator and Trainer for distributed training

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

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

Prepare for your next statistics interview by reviewing concepts like conditional probabilities, A/B testing, the bias-variance tradeoff, and more.

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

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

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

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

Use survival analysis to work with time-to-event data and predict survival time.

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

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