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.

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.

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.

An introduction to machine learning with no coding involved.

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!

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

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.

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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