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.

Learn the fundamentals of AI agents, their components, and real-world use—no coding required.

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

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

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

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.

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

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

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.

An introduction to machine learning with no coding involved.

An introduction to data visualization with no coding involved.

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

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

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

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

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

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

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

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

Improve data literacy skills by analyzing remote working policies.

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

Discover what it takes to scale AI agents, with a little help from frameworks like MCP and A2A.

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

Learn about LLMOps from ideation to deployment, gain insights into the lifecycle and challenges, and learn how to apply these concepts to your applications.

Master Responsible AI Practices with this comprehensive course, featuring real-world case studies and interactive content.

Explore data ethics with this comprehensive introductory course, covering principles, AI ethics, and practical skills to ensure responsible data use.

Master strategic data management for business excellence.

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