Fundamentals of Machine Learning and Artificial Intelligence

In this course, you will learn about the foundations of machine learning (ML) and artificial intelligence (AI). You will explore the connections between AI, ML, deep learning, and the emerging field of generative artificial intelligence (generative AI). You will gain a solid understanding of foundational AI terms, laying the groundwork for a deeper dive into these concepts. Additionally, you will learn about a selection of Amazon Web Services (AWS) services that use AI and ML capabilities. You will gain practical insights into how these tools can be used to solve real-world problems and drive innovation across various industries.

This course is intended for the following:

• Individuals interested in machine learning and artificial intelligence, independent of a specific job role

We recommend that attendees of this course have the following background:

• Foundational knowledge of AWS services
• Basic knowledge of AI and ML concepts

In this course, you will learn how to do the following:

• Identify the similarities and differences between AI, ML, deep learning, and generative AI.
• Define foundational AI and ML terms and concepts.
• Explain the different types of data used to train AI models.
• Define supervised, unsupervised, and reinforcement learning.
• Define neural networks.
• Define foundational generative AI terms and concepts.
• Describe the foundation model (FM) lifecycle.
• Define three main types of FMs: large language models, diffusion models, and multimodal models.
• Identify the capabilities and benefits of using AWS services for AI solutions.