Data, AI, and Cloud Courses

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

Learn to start developing deep learning models with Keras.

Create multi-modal systems using OpenAIs text and audio models, including an end-to-end customer support chatbot!

Learn data management in Databricks with Delta Lake, including ACID transactions, schema enforcement, and security.

Learn the basics of model validation, validation techniques, and begin creating validated and high performing models.

In this course, youll learn about the concepts of random variables, distributions, and conditioning.

In this course you will learn how to predict future events using linear regression, generalized additive models, random forests, and xgboost.

In this conceptual course (no coding required), you will learn about the four major NoSQL databases and popular engines.

Master GitHub Copilot to understand, write, and refine code with context, customization, and smart features.

Gain a clear understanding of GDPR principles and how to set up GDPR-compliant processes in this comprehensive course.

Learn to model and predict stock data values using linear models, decision trees, random forests, and neural networks.

Shift to an MLOps mindset, enabling you to train, document, maintain, and scale your machine learning models to their fullest potential.

Learn techniques for automated hyperparameter tuning in Python, including Grid, Random, and Informed Search.

Learn to implement custom trading strategies in Python, backtest them, and evaluate their performance!

Get to know the Google Cloud Platform (GCP) with this course on storage, data handling, and business modernization using GCP.

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

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

Learn SQL with AI by writing prompts, generating queries, and analyzing data to solve real-world problems.

Learn how to design Power BI visualizations and reports with users in mind.

Learn how to calculate meaningful measures of risk and performance, and how to compile an optimal portfolio for the desired risk and return trade-off.

Master travel planning with WanderBot: craft prompts, build confidence, and streamline your next adventure.

Leverage the power of tidyverse tools to create publication-quality graphics and custom-styled reports that communicate your results.

Master the core operations of spaCy and train models for natural language processing. Extract information from unstructured data and match patterns.

Prepare for your next coding interviews in Python.

Sharpen your skills in Oracle SQL including SQL basics, aggregating, combining, and customizing data.

Practice data storytelling using real-world examples! Communicate complex insights effectively with a dataset of certified green businesses.

Learn how to efficiently transform, clean, and analyze data using Polars, a Python library for fast data manipulation.

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

Learn the fundamentals of how to build conversational bots using rule-based systems as well as machine learning.

Learn how to draw conclusions about a population from a sample of data via a process known as statistical inference.