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This course provides a high-level picture of generative AI. Learners explore what generative AI is, how it can address executives’ concerns and challenges, and how it supports business growth. They also learn how generative AI has the potential to revolutionize numerous industries.
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OpenCourser.com/course/8dkmc1/generative
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What's inside
Syllabus
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This course offers a comprehensive picture of generative AI, including an examination of its potential to revolutionize industries and how it addresses business growth
The instructors for this course are from AWS, an industry leader in cloud computing and artificial intelligence
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Reviews summary
Strategic generative ai for business leaders
According to learners, 'Generative AI for Executives' offers a largely positive experience, particularly for its intended audience of business leaders and non-technical professionals. Students say the course provides a clear, high-level overview of Generative AI, successfully demystifying complex concepts without jargon. Its strength lies in focusing on strategic implications and business applications, helping executives understand the 'what' and 'why' of GenAI. Reviewers appreciate the concise, bite-sized modules, making it efficient for busy schedules. However, some learners with prior AI knowledge found it too superficial or lacking in technical depth, emphasizing it's a starting point, not for implementation.
Designed to be concise and easy to digest for busy professionals.
"As a busy CEO, I don't have time for deep dives into coding. This course distilled the essence of Generative AI..."
"It's concise yet comprehensive enough to provide a foundational understanding."
"The course delivered on its promise: a high-level overview for executives. It’s ideal for setting the strategic context of Generative AI..."
Focuses on practical business applications and strategic impact.
"The focus on business applications and strategic implications was incredibly valuable."
"The emphasis on real-world business scenarios was excellent."
"It cut through the hype and delivered practical insights on how Generative AI can impact business."
Provides a strategic, jargon-free understanding of Generative AI.
"It provided a clear, high-level overview of Generative AI without getting bogged down in technical jargon."
"This course distilled the essence of Generative AI, its potential, and challenges into bite-sized, digestible modules."
"Perfectly pitched for senior leadership. It addresses the key questions executives have about Generative AI: what it is, how it works at a high level..."
May be too basic if you already have a foundational understanding of AI.
"I already had some basic understanding of AI, and I was hoping for a slightly deeper exploration of use cases or decision frameworks."
"If you've already read a few articles, you might find it repetitive."
"It was okay. Felt more like an extended marketing presentation from AWS rather than a deep educational course."
Not suitable for those seeking hands-on or deep technical skills.
"My only minor critique is that I wished there were a few more actionable examples or case studies for immediate implementation..."
"Don't expect any technical deep dives or coding exercises."
"For those who want to implement AI solutions, this is just a starting point; you'll need more technical courses afterwards."
Activities
Be better prepared
before
your course. Deepen your understanding
during
and
after
it. Supplement your coursework and achieve mastery of the topics covered
in Generative AI for Executives with these
activities:
Review AWS Machine Learning Basics
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Review the basics of AWS Machine Learning to ensure you have a strong foundation for this course.
Browse courses on
AWS Machine Learning
Show steps
-
Revisit AWS Machine Learning documentation.
-
Complete the AWS Machine Learning Fundamentals course.
Review Machine Learning Basics
Show steps
Review foundational concepts in machine learning to ensure a solid understanding before starting the course.
Browse courses on
Machine Learning Fundamentals
Show steps
-
Revisit linear and logistic regression models.
-
Brush up on decision trees and ensemble methods.
Compile lecture notes
Show steps
Compile your lecture notes into a single reference and review them before each lecture.
Show steps
-
Gather your class notes
-
Organize notes by section
-
Review your notes before each lecture
-
Update your notes with new information
Two other activities
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Create an AWS Lambda Function
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Create your own AWS Lambda function to gain hands-on experience and solidify your understanding of the concepts covered in the course.
Browse courses on
AWS Lambda
Show steps
-
Choose a programming language to use with AWS Lambda.
-
Create an AWS Lambda function in the AWS Management Console.
-
Deploy your AWS Lambda function and test it.
Develop a Generative AI Use Case Proposal
Show steps
Develop a proposal for a generative AI use case in your industry or organization to demonstrate your understanding and creativity.
Browse courses on
Generative AI
Show steps
-
Research generative AI applications and identify a potential use case.
-
Develop a detailed use case proposal, including requirements, benefits, and implementation plan.
-
Present your proposal to a group of peers or colleagues for feedback.
Review AWS Machine Learning Basics
Show steps
Review the basics of AWS Machine Learning to ensure you have a strong foundation for this course.
Browse courses on
AWS Machine Learning
Show steps
Show steps
Show steps
- Revisit AWS Machine Learning documentation.
- Complete the AWS Machine Learning Fundamentals course.
Review Machine Learning Basics
Show steps
Review foundational concepts in machine learning to ensure a solid understanding before starting the course.
Browse courses on
Machine Learning Fundamentals
Show steps
Show steps
Show steps
- Revisit linear and logistic regression models.
- Brush up on decision trees and ensemble methods.
Compile lecture notes
Show steps
Compile your lecture notes into a single reference and review them before each lecture.
Show steps
Show steps
Show steps
- Gather your class notes
- Organize notes by section
- Review your notes before each lecture
- Update your notes with new information
Two other activities
Expand to see all activities and additional details
Show all five activities
Create an AWS Lambda Function
Show steps
Create your own AWS Lambda function to gain hands-on experience and solidify your understanding of the concepts covered in the course.
Browse courses on
AWS Lambda
Show steps
Show steps
Show steps
- Choose a programming language to use with AWS Lambda.
- Create an AWS Lambda function in the AWS Management Console.
- Deploy your AWS Lambda function and test it.
Develop a Generative AI Use Case Proposal
Show steps
Develop a proposal for a generative AI use case in your industry or organization to demonstrate your understanding and creativity.
Browse courses on
Generative AI
Show steps
Show steps
Show steps
- Research generative AI applications and identify a potential use case.
- Develop a detailed use case proposal, including requirements, benefits, and implementation plan.
- Present your proposal to a group of peers or colleagues for feedback.
Career center
Learners who complete Generative AI for Executives will develop knowledge and skills
that may be useful to these careers:
For more career information including salaries, visit:
OpenCourser.com/course/8dkmc1/generative
Reading list
We haven't picked any books for this reading list yet.
For more information about how these books relate to this course, visit:
OpenCourser.com/course/8dkmc1/generative
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