Welcome to AI Basics
This learning pathway introduces artificial intelligence, from its early foundations to modern applications. It explains how AI processes data to identify patterns, make predictions, and assist in tasks like speech recognition and social media algorithms. The pathway covers machine learning, deep learning, and natural language processing, highlighting AI algorithms' role in automation. It also explores IoT, robotics, and generative AI, showcasing their impact on creativity and productivity. With practical examples like Microsoft Copilot, the pathway makes AI concepts accessible and relevant.

Is this course for me? This pathway is designed for any learner in the nonprofit sector, who is interested in harnessing the benefits of AI for themselves or their organizations. The pathway is for learners with no-to-minimal knowledge of AI. 
How will I benefit from this course? After completing this learning pathway, you will be able to:
- Explain the foundational concepts and history of artificial intelligence.
- Differentiate between key AI methodologies, such as machine learning, deep learning, and natural language processing.
- Analyze the role of AI algorithms in problem-solving, and it can be applied in real-world scenarios.
- Demonstrate an understanding of generative AI models and their applications.
- Evaluate the impact of AI-driven technologies on productivity, creativity, and digital transformation in various industries.

How long will it take? Approximately 3.5 hours 
How much does it cost? This course is free! 
Will I get a certificate at the end? Yes - you will be able to download a certificate once you have completed all of the modules within the pathway. 
How do I start? Scroll to the top of the page and click on the I agree - Join course button. This will take you through to the course content. You don't need to complete the course in one go - you can always continue later from where you left off.
Data protection and consent

After completing this learning pathway, you will be able to:
- Explain the foundational concepts and history of artificial intelligence.
- Differentiate between key AI methodologies, such as machine learning, deep learning, and natural language processing.
- Analyze the role of AI algorithms in problem-solving, and it can be applied in real-world scenarios.
- Demonstrate an understanding of generative AI models and their applications.
- Evaluate the impact of AI-driven technologies on productivity, creativity, and digital transformation in various industries.




This course was created and is administered by NetHope. By joining this course you are consenting to NetHope being given access to your Kaya profile information, including your name and email address, so that they can provide the course. This may require them to contact you. Your data will be anonymized before it is used for any analysis or reporting purposes. If you have any questions about this, please email nethopecdn@nethope.org.
This course is made possible in part by the generous support of Microsoft.