Data, AI, and Cloud Courses

Learn the basic concepts of Artificial Intelligence, such as machine learning, deep learning, NLP, generative AI, and more.

An introduction to data science with no coding involved.

A non-coding introduction to cloud computing, covering key concepts, terminology, and tools.

Discover how data engineers lay the groundwork that makes data science possible. No coding involved!

Data is all around us, which makes data literacy an essential life skill.

Gain an introduction to data in this hands-on course. Learn the basics of data types and structures, the DIKW framework, data ethics and more.

An introduction to data visualization with no coding involved.

Learn the fundamentals of statistics, including measures of center and spread, probability distributions, and hypothesis testing with no coding involved!

An introduction to machine learning with no coding involved.

Data-driven organizations consistently rely on insights to inspire action and drive change.

Explore AI ethics focusing on principles, fairness, bias reduction, and trust in AI design.

Discover how to begin responsibly leveraging generative AI. Learn how generative AI models are developed and how they will impact society moving forward.

Discover the full potential of LLMs with our conceptual course covering LLM applications, training methodologies, ethical considerations, and latest research.

Learn the role Generative Artificial Intelligence plays today and will play in the future in a business environment.

No one enjoys looking at spreadsheets! Bring your data to life. Improve your presentation and learn how to translate technical data into actionable insights.

Learn the key components of building a strong data culture within an organization.

This introductory and conceptual course will help you understand the fundamentals of data warehousing.

Elevate your data storytelling skills and discover how to tell great stories that drive change with your audience.

Discover how to extract business value from AI. Learn to scope opportunities for AI, create POCs, implement solutions, and develop an AI strategy.

Learn how to translate business questions to well-formed analytical questions and select the right analytical solutions.

Discover how MLOps can take machine learning models from local notebooks to functioning models in production that generate real business value.

Explore the basics of data quality management. Learn the key concepts, dimensions, and techniques for monitoring and improving data quality.

Improve data literacy skills by analyzing remote working policies.

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

Understand the fundamentals of Machine Learning and how its applied in the business world.

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

Learn essential finance math skills with practical Excel exercises and real-world examples.

Gain an introduction to data governance, exploring its meaning, purpose, and how to implement a data governance framework.

Gain a clear understanding of data privacy principles and how to implement privacy and security processes.

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