AWS AI Foundations

Overview

The course builds a working understanding of AI, machine learning, and deep learning before turning to the three layers of AWS AI: pre-trained services, generative AI through Amazon Bedrock, and custom model development with Amazon SageMaker. Throughout, the emphasis stays on evaluating options against capability, cost, scalability, and governance so learners can defend the choice they make.

Learning Outcomes

Define Artificial Intelligence and distinguish it from traditional software
Differentiate between pre-built AI services, Amazon Bedrock, and Amazon SageMaker
Classify the cases in which Generative AI is sufficient versus those requiring custom Machine Learning
Design foundational AI solution architectures on AWS
Evaluate AWS service options against business requirements to justify the optimal choice
Recognize the concepts of cost, scalability, and governance at a conceptual level
Select the appropriate pre-trained AWS AI service for a given input, such as vision, language, speech, or translation
Use Amazon Bedrock to access foundation models and apply prompt engineering techniques

Who should Enroll

Cloud developers and application developers.
Technical practitioners building or selecting AI solutions on AWS.

Course Requirements

Basic background in cloud computing concepts and familiarity with core AWS services such as EC2, S3, and IAM.
General understanding of how APIs work and AWS Cloud Practitioner level knowledge or equivalent.

Instructor

سلمى محمد قاسم

1 Training Courses0 Learners

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AWS AI Foundations

Fahym

Fahym

AWS AI Foundations

Made by سلمى محمد قاسم

This course contains the following:

Overview

Course Content

Lecture Schedule:

Pre Assessment

Module 1 - AI and Machine Learning Concepts

Module 2 - AI and the AWS Cloud Foundation

Module 3 - Pre-Trained AWS AI Services

Module 4 - Generative AI with Amazon Bedrock

Module 5 - Building Custom AI with SageMaker

Post Assessment

Learning Outcomes

Who should Enroll

Course Requirements

Instructor

سلمى محمد قاسم

This course contains the following:

AWS AI Foundations

Fahym

Fahym

AWS AI Foundations

Made by سلمى محمد قاسم

This course contains the following:

Overview

Course Content

Lecture Schedule:

Pre Assessment :30min - Number Of lessons : 0

Pre Assessment

Module 1 - AI and Machine Learning Concepts :47min - Number Of lessons : 10

Module 1 - AI and Machine Learning Concepts

Module 2 - AI and the AWS Cloud Foundation :30min - Number Of lessons : 6

Module 2 - AI and the AWS Cloud Foundation

Module 3 - Pre-Trained AWS AI Services :38min - Number Of lessons : 6

Module 3 - Pre-Trained AWS AI Services

Module 4 - Generative AI with Amazon Bedrock :29min - Number Of lessons : 5

Module 4 - Generative AI with Amazon Bedrock

Module 5 - Building Custom AI with SageMaker :30min - Number Of lessons : 5

Module 5 - Building Custom AI with SageMaker

Post Assessment :30min - Number Of lessons : 0

Post Assessment

Learning Outcomes

Who should Enroll

Course Requirements

Instructor

سلمى محمد قاسم

This course contains the following: