Data, AI, and Cloud Courses

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

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

Boost your Excel skills with advanced referencing, lookup, and database functions using practical exercises.

Learn how to blend business, data, and AI, and set goals to drive success with an effectively scalable AI Strategy.

Learn about the world of data engineering in this short course, covering tools and topics like ETL and cloud computing.

In this course, you will learn the fundamentals of Kubernetes and deploy and orchestrate containers using Manifests and kubectl instructions.

Learn to perform linear and logistic regression with multiple explanatory variables.

Continue your data visualization journey where youll learn practical techniques for incorporating DAX measures and progressive disclosure in your reports.

Explore AI and data monetization strategies, build ethical infrastructures, and align products with business goals.

Learn to use Google Sheets to clean, analyze, and draw insights from data. Discover how to sort, filter, and use VLOOKUP to combine data.

Discover modern data architectures key components, from ingestion and serving to governance and orchestration.

Learn to write SQL queries to calculate key metrics that businesses use to measure performance.

Learn about Large Language Models (LLMs) and how they are reshaping the business world.

Learn how to deploy and maintain assets in Power BI. You’ll get to grips with the Power BI Service interface and key elements in it like workspaces.

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

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

Learn the skills needed to create impactful dashboards. Understand dashboard design fundamentals, visual analytics components, and dashboard types.

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

Learn to clean data as quickly and accurately as possible to help you move from raw data to awesome insights.

Learn to process, transform, and manipulate images at your will.

Find tables, store and manage new tables and views, and write maintainable SQL code to answer business questions.

Data visualization is one of the most desired skills for data analysts. This course allows you to present your findings better using Tableau.

Unlock more advanced AI applications, like semantic search and recommendation engines, using OpenAIs embedding model!

Learn how and when to use hypothesis testing in R, including t-tests, proportion tests, and chi-square tests.

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

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

Improve data literacy skills by analyzing remote working policies.

Build robust, production-grade APIs with FastAPI, mastering HTTP operations, validation, and async execution to create efficient data and ML pipelines.

Learn to start developing deep learning models with Keras.

Implement experimental design setups and perform robust statistical analyses to make precise and valid conclusions!