AI Courses

Google AI for Anyone

A course for anyone to learn what AI is and how it works.

Google AI for Anyone teaches you about what Artificial Intelligence is. You’ll cut through the hype and learn about AI and Machine Learning.

As its name suggests, this course is for anybody – you don’t need a computer science, mathematics or AI background to understand it. No programming skills or prior knowledge are needed.

We’ll take you through, from first principles what the fuss is all about, and you’ll get hands-on in playing with data to teach a computer how to recognize images, sounds and more.

As you explore how AI is used in the real world (recommender systems, computer vision, self-driving etc.) you will also begin to build an understanding of Neural networks and the types of machine learning including supervised, unsupervised, reinforcement etc. You will also see (and experience) what programming AI looks like and how it is applied.

From here you will be able to continue your journey through the emerging fields of AI and ML and related technologies. In so doing, you will formulate a basis to understand and discuss AI and ML related matters in your personal and professional life.

Microsoft Azure AI Fundamentals

The Microsoft Certified: Azure AI Fundamentals certification could be a great fit for you if you'd like to:

• Prove that you have the AI skills it takes to build a better world. Earning your Azure AI Fundamentals certification can supply the foundation you need to build your career and demonstrate your knowledge of common AI and machine learning workloads—and what Azure services can solve for them.
• Validate your foundational knowledge of machine learning and AI concepts, along with related Azure services.

AI For Everyone

https://www.coursera.org/learn/ai-for-everyone

AI is not only for engineers. If you want your organization to become better at using AI, this is the course to tell everyone--especially your non-technical colleagues--to take.

In this course, you will learn:

- The meaning behind common AI terminology, including neural networks, machine learning, deep learning, and data science
- What AI realistically can--and cannot--do
- How to spot opportunities to apply AI to problems in your own organization
- What it feels like to build machine learning and data science projects
- How to work with an AI team and build an AI strategy in your company
- How to navigate ethical and societal discussions surrounding AI

Though this course is largely non-technical, engineers can also take this course to learn the business aspects of AI.