Data, AI, and Cloud Courses

This course dives deeper into the Azures backbone by going into topics like containers, virtual machines and much more.

Learn Databricks SQL for data engineering, analytics, and real-time data workflows in the lakehouse architecture.

Create interactive data visualizations in Python using Plotly.

Learn to connect Tableau to different data sources and prepare the data for a smooth analysis.

Learn about data science for managers and businesses and how to use data to strengthen your organization.

Learn the fundamentals of neural networks and how to build deep learning models using Keras 2.0 in Python.

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

Build a customer-support assistant step-by-step with Google’s Agent Development Kit (ADK).

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

Master Power Pivot in Excel to help import data, create relationships, and utilize DAX. Build dynamic dashboards to uncover actionable insights.

Learn how to perform financial analysis in Power BI or apply any existing financial skills using Power BI data visualizations.

Learn to write cleaner, smarter Java code with methods, control flow, and loops.

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

Boost your coding with AI—guide your coding assistant to write, test, and document code effectively.

In this course you will learn the basics of machine learning for classification.

In this course, you will be introduced to unsupervised learning through techniques such as hierarchical and k-means clustering using the SciPy library.

Learn how to leverage statistical techniques using spreadsheets to more effectively work with and extract insights from your data.

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

Learn the theory behind responsibly managing your data for any AI project, from start to finish and beyond.

Level up your GitHub skills with our intermediate course on GitHub Projects, Administration, and advanced security features.

Learn about the power of Databricks Lakehouse and help you scale up your data engineering and machine learning skills.

R Markdown is an easy-to-use formatting language for authoring dynamic reports from R code.

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

Master Apache Kafka! From core concepts to advanced architecture, learn to create, manage, and troubleshoot Kafka for real-world data streaming challenges!

Transform almost any dataset into a tidy format to make analysis easier.

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

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

Learn to write faster R code, discover benchmarking and profiling, and unlock the secrets of parallel programming.

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

To understand Fabric’s main use cases, you will explore various tools in the seven Fabric experiences.