Fundamentals of Machine Learning and Artificial Intelligence

Amazon Web Services and Amazon via AWS Skill Builder

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Details

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Provider

AWS Skill Builder
Pricing

Free Certificate
Languages

English
Certificate

Certificate Available
Duration & workload

1 hour
Sessions

On-Demand
Level

Beginner

Found in

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.

Course level: Fundamental
Duration: 1 hour

Activities

This course includes interactive elements, videos, text instruction, and illustrative graphics.

Course objectives

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.

Intended Audience

This course is intended for the following:

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

Prerequisites

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

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

Course outline

Section 1: Introduction

How to Use This Course
Introduction

Section 2: Fundamentals of Artificial Intelligence

Machine Learning Fundamentals
Deep Learning Fundamentals
Generative AI Fundamentals
Knowledge check

Section 3: AWS Services

AWS Infrastructure and Technologies
Knowledge checkpoint

Section 4: Conclusion

Resources
Contact Us

Keywords

Gen AI
Generative AI

Reviews

4.9 rating, based on 14 Class Central reviews

Start your review of Fundamentals of Machine Learning and Artificial Intelligence

Sameema Begam @samcs

I'm thrilled to dive into the "Fundamentals of Artificial Intelligence and Machine Learning" course, a gateway to transforming data into intelligent decisions. This beginner-friendly program unpacks core concepts like neural networks, supervised/uns…

I'm thrilled to dive into the "Fundamentals of Artificial Intelligence and Machine Learning" course, a gateway to transforming data into intelligent decisions. This beginner-friendly program unpacks core concepts like neural networks, supervised/unsupervised learning, and algorithms such as regression and decision trees, using Python libraries like NumPy and Scikit-learn. Hands-on projects simulate real-world applications—from predicting crop yields in rural Tamil Nadu to cybersecurity threat detection—building my skills in data preprocessing, model evaluation, and ethical AI. With gamified challenges and Tamil-translated resources, it equips aspiring engineers like me for exams, projects, and innovative careers in AI-driven agriculture and education te
Aaliya Shamim @aaliya19

This course has provide basic concepts of artificial intelligence ,machine learning ,deep learning and generative AI. it contains clearn explanation of how model is trained and types of data .
Anushkaa Pawar @anushkaa3006

Nice Experience of knowledge about Artificial Intelligence and basic concepts which can be asked in an interview it is explained in detail with an example.
Yogita Tiwari
2

As a beginner in the field of technology and coding, this course/book has been an excellent starting point for me to understand the **fundamentals of Machine Learning and Artificial Intelligence**. The explanations are clear, and the concepts are b…

As a beginner in the field of technology and coding, this course/book has been an excellent starting point for me to understand the **fundamentals of Machine Learning and Artificial Intelligence**. The explanations are clear, and the concepts are broken down in a very easy-to-understand manner.

I liked how the topics cover both **theory and practical examples**, which helped me build a strong base. Even if you're from a non-CS background, you can follow it step by step. The examples and exercises helped reinforce the learning effectively.

This resource really motivated me to explore more in AI and ML and has given me a confident start in this field. Perfect for students, beginners, and tech enthusiasts!
Cameron Pretz @DBMcoding

This model is okay for basics, although the model just had you answer questions based off what you read. Almost was a ad for them too.
Karma Hazem

Very useful for knowing the fundamentals of AI and ML. Gives a broad simple explanation of diffreent trypes of ML and Deep Learning, Shows the hirearchy of AI, ML, Deep learning and Generative AI in a simple way. Examples given clarify the topic and makes it easier to understand.
MOHAMED ALSAHLI

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"I had an excellent experience with this service. The team was professional, responsive, and very helpful throughout. Highly recommend it to anyone looking for quality and reliability."
Anonymous

the course was very informative and got much knowledge about machine learning and artificial intelligence.
Sathya

The "Fundamentals of Machine Learning and Artificial Intelligence" course by AWS is a strong starting point for anyone curious about ML and AI, especially those new to the field or interested in how these technologies are implemented on AWS. The cou…

The "Fundamentals of Machine Learning and Artificial Intelligence" course by AWS is a strong starting point for anyone curious about ML and AI, especially those new to the field or interested in how these technologies are implemented on AWS. The course covers core concepts like types of machine learning (supervised, unsupervised, reinforcement), basic model training, and the importance of data preparation.

What stands out is how well it integrates AWS services into the learning path—SageMaker, Rekognition, and Comprehend are introduced with practical examples. This is helpful for learners aiming to apply AI/ML in cloud environments. The videos are short and easy to follow, and the platform’s interface is user-friendly.

However, the course could benefit from more interactive labs or coding exercises to reinforce the material. While the high-level overview is valuable, more hands-on experience would make it even more impactful. Some technical terms could be explained more deeply, especially for complete beginners.

Overall, it’s a well-designed and accessible course that effectively introduces ML/AI fundamentals while showcasing AWS’s ecosystem. Highly recommended as a first step into this domain.
Gayatri Bhamidi

Fundamentals of Machine Learning and Artificial Intelligence (AWS Skill Builder)

This course is a great starting point for beginners looking to understand the basics of machine learning and AI. It was helpful for learning ML and Ai fundamentals.
Malavika Shiju

Great Introduction to AI!

This course provided a clear and well-structured overview of the fundamentals of AI learning. It covered key concepts like supervised, unsupervised, and reinforcement learning in a way that was easy to understand, even for beginners. I especially appreciated the real-world examples and practical applications that helped connect the theory to actual use cases. A solid starting point for anyone interested in diving into the world of AI!
Jayasudha T

Educational course. I gained knowledge of the several kinds of machine learning (ML). Machine learning (ML), a branch of artificial intelligence (AI), allows systems to learn from data and get better over time. Unsupervised learning identifies patterns in unlabelled data; supervised learning trains the model on labelled data to make predictions; and reinforcement learning teaches the model by interacting with the environment and getting feedback. These are the three primary forms of machine learning. While taking into account the significance of ethical AI practices, I also investigated how these techniques are used in real-world issues including categorisation, regression, clustering, and decision-making.
Asritha Kasibhatta

Too good and easy to understand . Highly recommended to students especially the beginners who are new to AI/ML.
Keerthana Uday

course is explained very well .
Glad that I have learned the basics of machine learning and generative AI through AWS