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Faye Ellis
In this course, *Creating Business Value Using Generative AI on AWS*, you’ll learn to design and build generative AI services using AWS technologies. First, you’ll explore how generative AI is transforming businesses. Next, you’ll discover foundation models (FMs) and large language models (LLMs) and where they fit in the wider context of machine learning. You’ll also learn how to implement AI responsibly, so that you can avoid hallucinations, ensure data privacy, and control cost. Finally, you’ll learn how to build a generative AI application using AWS services. When you’re finished with this course, you’ll have the skills and knowledge needed to design and build generative AI applications on AWS.
Register for this course and see more details by visiting:
OpenCourser.com/course/ec6ucj/creating
Good to know
Good to know
Know what's good ,
what to watch for , and
possible dealbreakers
Teaches learners how to build generative AI applications on AWS
Suitable for learners with an interest in designing and building generative AI services using AWS technologies
Covers the fundamentals of generative AI, including foundation models and large language models
Provides guidance on implementing AI responsibly, addressing concerns such as hallucinations and data privacy
This course has a practical focus, teaching learners how to build a generative AI application using AWS services
Faye Ellis, an experienced instructor, teaches the course
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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 Creating Business Value Using Generative AI on AWS with these
activities:
Review previous coursework on machine learning
Show steps
Strengthen your foundation in machine learning to enhance your understanding of generative AI.
Browse courses on
Machine Learning
Show steps
-
Review your notes and assignments from previous machine learning courses.
-
Take practice quizzes and tests.
-
Complete online tutorials or exercises.
Review *Generative AI: A Primer* by Deborah Raji and Jesse Dodge
Show steps
Build a strong foundation in generative AI by familiarizing yourself with an accessible book written by experts in the field.
Show steps
-
Read the first 5 chapters.
-
Complete the discussion questions at the end of each chapter.
-
Write a 2-page summary of the key concepts covered in the book.
Review Fundamentals of Machine Learning and Deep Learning
Show steps
Reviewing these concepts will strengthen your foundation before you start using Generative AI techniques
Browse courses on
Machine Learning
Show steps
-
Go over the concepts of supervised and unsupervised learning
-
Refresh your knowledge on different types of deep neural networks
-
Practice implementing a simple deep learning model on a dataset
Nine other activities
Expand to see all activities and additional details
Show all 12 activities
Organize and review course notes
Show steps
Improve your retention and recall by actively organizing and reviewing course materials.
Show steps
-
Create a system for organizing your notes, assignments, and quizzes.
-
Review your notes regularly to reinforce your understanding.
-
Create flashcards or summaries to aid in memorization.
Attend a peer-led study session
Show steps
Enhance your understanding by discussing course material and sharing insights with peers.
Show steps
-
Find a study partner or group.
-
Schedule a regular meeting time.
-
Prepare questions and topics for discussion.
-
Actively participate in the session.
Build a Simple Generative Text Model
Show steps
This hands-on activity will give you a practical understanding of how to build and use generative text models
Browse courses on
Generative AI
Show steps
-
Find a tutorial on building a generative text model using a pre-trained language model
-
Follow the tutorial and build the model
-
Experiment with different parameters and settings to see how they affect the model's behavior
Implement various generative AI techniques using AWS services
Show steps
Reinforce your understanding of AWS services for generative AI by engaging in hands-on practice.
Show steps
-
Create a simple text generator using a pre-trained language model.
-
Build an image generator using a generative adversarial network (GAN).
-
Develop a music generator using a recurrent neural network (RNN).
Attend an AWS workshop on generative AI
Show steps
Gain insights and hands-on experience by attending an expert-led workshop on generative AI.
Show steps
-
Identify an AWS workshop that aligns with your learning goals.
-
Register for the workshop.
-
Attend the workshop and actively participate.
-
Apply the knowledge gained in your coursework.
Write a blog post or article on a generative AI topic
Show steps
Solidify your understanding and share your knowledge by creating a written piece on a specific aspect of generative AI.
Show steps
-
Choose a specific topic related to generative AI.
-
Research and gather information from reliable sources.
-
Organize your thoughts and create an outline.
-
Write the first draft of your blog post or article.
-
Edit and proofread your work.
Participate in a generative AI hackathon
Show steps
Challenge yourself and showcase your skills by participating in a competitive event focused on generative AI.
Show steps
-
Find a hackathon that aligns with your interests.
-
Form a team or work individually.
-
Develop a creative and innovative generative AI solution.
-
Present your solution to a panel of judges.
Develop a Generative AI Solution for a Specific Business Problem
Show steps
This project will allow you to apply your generative AI skills to solve a real-world problem
Browse courses on
Generative AI
Show steps
-
Identify a specific business problem that can be addressed using generative AI
-
Research different generative AI techniques and select the most appropriate one
-
Design and implement a solution to solve the problem
-
Prepare a presentation to showcase your solution
Design and develop a generative AI application
Show steps
Showcase your mastery of generative AI by creating a practical application using AWS services.
Show steps
-
Identify a problem that can be solved using generative AI.
-
Design the architecture of your application.
-
Implement your application using AWS services.
-
Evaluate the performance of your application.
-
Deploy your application to a production environment.
Review previous coursework on machine learning
Show steps
Strengthen your foundation in machine learning to enhance your understanding of generative AI.
Browse courses on
Machine Learning
Show steps
Show steps
Show steps
- Review your notes and assignments from previous machine learning courses.
- Take practice quizzes and tests.
- Complete online tutorials or exercises.
Review *Generative AI: A Primer* by Deborah Raji and Jesse Dodge
Show steps
Build a strong foundation in generative AI by familiarizing yourself with an accessible book written by experts in the field.
Show steps
Show steps
Show steps
- Read the first 5 chapters.
- Complete the discussion questions at the end of each chapter.
- Write a 2-page summary of the key concepts covered in the book.
Review Fundamentals of Machine Learning and Deep Learning
Show steps
Reviewing these concepts will strengthen your foundation before you start using Generative AI techniques
Browse courses on
Machine Learning
Show steps
Show steps
Show steps
- Go over the concepts of supervised and unsupervised learning
- Refresh your knowledge on different types of deep neural networks
- Practice implementing a simple deep learning model on a dataset
Nine other activities
Expand to see all activities and additional details
Show all 12 activities
Organize and review course notes
Show steps
Improve your retention and recall by actively organizing and reviewing course materials.
Show steps
Show steps
Show steps
- Create a system for organizing your notes, assignments, and quizzes.
- Review your notes regularly to reinforce your understanding.
- Create flashcards or summaries to aid in memorization.
Attend a peer-led study session
Show steps
Enhance your understanding by discussing course material and sharing insights with peers.
Show steps
Show steps
Show steps
- Find a study partner or group.
- Schedule a regular meeting time.
- Prepare questions and topics for discussion.
- Actively participate in the session.
Build a Simple Generative Text Model
Show steps
This hands-on activity will give you a practical understanding of how to build and use generative text models
Browse courses on
Generative AI
Show steps
Show steps
Show steps
- Find a tutorial on building a generative text model using a pre-trained language model
- Follow the tutorial and build the model
- Experiment with different parameters and settings to see how they affect the model's behavior
Implement various generative AI techniques using AWS services
Show steps
Reinforce your understanding of AWS services for generative AI by engaging in hands-on practice.
Show steps
Show steps
Show steps
- Create a simple text generator using a pre-trained language model.
- Build an image generator using a generative adversarial network (GAN).
- Develop a music generator using a recurrent neural network (RNN).
Attend an AWS workshop on generative AI
Show steps
Gain insights and hands-on experience by attending an expert-led workshop on generative AI.
Show steps
Show steps
Show steps
- Identify an AWS workshop that aligns with your learning goals.
- Register for the workshop.
- Attend the workshop and actively participate.
- Apply the knowledge gained in your coursework.
Write a blog post or article on a generative AI topic
Show steps
Solidify your understanding and share your knowledge by creating a written piece on a specific aspect of generative AI.
Show steps
Show steps
Show steps
- Choose a specific topic related to generative AI.
- Research and gather information from reliable sources.
- Organize your thoughts and create an outline.
- Write the first draft of your blog post or article.
- Edit and proofread your work.
Participate in a generative AI hackathon
Show steps
Challenge yourself and showcase your skills by participating in a competitive event focused on generative AI.
Show steps
Show steps
Show steps
- Find a hackathon that aligns with your interests.
- Form a team or work individually.
- Develop a creative and innovative generative AI solution.
- Present your solution to a panel of judges.
Develop a Generative AI Solution for a Specific Business Problem
Show steps
This project will allow you to apply your generative AI skills to solve a real-world problem
Browse courses on
Generative AI
Show steps
Show steps
Show steps
- Identify a specific business problem that can be addressed using generative AI
- Research different generative AI techniques and select the most appropriate one
- Design and implement a solution to solve the problem
- Prepare a presentation to showcase your solution
Design and develop a generative AI application
Show steps
Showcase your mastery of generative AI by creating a practical application using AWS services.
Show steps
Show steps
Show steps
- Identify a problem that can be solved using generative AI.
- Design the architecture of your application.
- Implement your application using AWS services.
- Evaluate the performance of your application.
- Deploy your application to a production environment.
Career center
Learners who complete Creating Business Value Using Generative AI on AWS will develop knowledge and skills
that may be useful to these careers:
Data Scientist
Data Scientist
Data Scientists can identify and solve business problems using data, often working in tandem with Machine Learning Engineers and Data Engineers. Generative AI is one of the key emerging fields in data science, and this course would help build a foundation in this field. As organizations adopt generative AI, Data Scientists will require training in these techniques to remain competitive.
Machine Learning Engineer
Machine Learning Engineer
Machine Learning Engineers design, develop, deploy, and maintain machine learning models. As generative AI is a subset of machine learning, this course would help build a foundation in the specific application of generative AI. As generative AI is adopted by organizations, Machine Learning Engineers will require training to lead development and adoption efforts.
Data Engineer
Data Engineer
Data Engineers design, build, and maintain the infrastructure that supports data science and machine learning initiatives. They are responsible for collecting, cleaning, and storing data in a way that makes it accessible and usable for data scientists and other analysts. As generative AI becomes more widely adopted, Data Engineers will need to develop expertise in managing and maintaining the data and infrastructure that supports generative AI applications.
Product Manager
Product Manager
Product Managers are responsible for the development and launch of new products or features. They work with engineers, designers, and other stakeholders to bring new products to market. As generative AI becomes more widely adopted, Product Managers will need to develop expertise in how to use these techniques to create new products and features.
Business Analyst
Business Analyst
Business Analysts use data to identify and solve business problems. They work with stakeholders to understand their needs and then use data to develop solutions. As generative AI is adopted by organizations, Business Analysts will need to develop expertise in using these techniques to solve business problems.
Software Engineer
Software Engineer
Software Engineers design, develop, and maintain software applications. They work with stakeholders to understand their needs and then use programming languages to develop software solutions. As generative AI becomes more widely adopted, Software Engineers will need to develop expertise in how to use these techniques to develop new software applications.
Data Architect
Data Architect
Data Architects design and implement the data architecture for an organization. They work with stakeholders to understand their data needs and then design a data architecture that meets those needs. As generative AI becomes more widely adopted, Data Architects will need to develop expertise in how to design and implement data architectures that support generative AI applications.
Machine Learning Scientist
Machine Learning Scientist
Machine Learning Scientists develop and apply machine learning algorithms to solve real-world problems. They work with data scientists and other researchers to develop new machine learning models and techniques. As generative AI is a subset of machine learning, this course may be useful for Machine Learning Scientists who want to learn more about this specific field.
Operations Research Analyst
Operations Research Analyst
Operations Research Analysts use mathematical and analytical techniques to solve complex business problems. They work with other researchers and scientists to develop new operations research models and techniques. As generative AI is a subset of operations research, this course may be useful for Operations Research Analysts who want to learn more about this specific field.
Statistician
Statistician
Statisticians collect, analyze, and interpret data. They work with other researchers and scientists to develop new statistical models and techniques. As generative AI is a subset of statistics, this course may be useful for Statisticians who want to learn more about this specific field.
Computer Scientist
Computer Scientist
Computer Scientists research and develop new computing technologies. They work with other scientists and engineers to design and build new computer systems and applications. As generative AI is a subset of computer science, this course may be useful for Computer Scientists who want to learn more about this specific field.
AI Researcher
AI Researcher
AI Researchers develop new AI algorithms and techniques. They work with other researchers and scientists to advance the state of the art in AI. As generative AI is a subset of AI, this course may be useful for AI Researchers who want to learn more about this specific field.
Management Consultant
Management Consultant
Management Consultants help organizations improve their performance. They work with clients to identify and solve business problems. As generative AI is a new and emerging technology, Management Consultants may find it useful to learn more about this field in order to better advise their clients.
Sales Manager
Sales Manager
Sales Managers lead and manage sales teams. They work with sales representatives to develop and execute sales strategies. As generative AI is a new and emerging technology, Sales Managers may find it useful to learn more about this field in order to better sell their products and services.
Marketing Manager
Marketing Manager
Marketing Managers develop and execute marketing campaigns. They work with other marketing professionals to create and implement marketing strategies. As generative AI is a new and emerging technology, Marketing Managers may find it useful to learn more about this field in order to better market their products and services.
For more career information including salaries, visit:
OpenCourser.com/course/ec6ucj/creating
Reading list
We've selected eight books
that we think will supplement your
learning. Use these to
develop background knowledge, enrich your coursework, and gain a
deeper understanding of the topics covered in
Creating Business Value Using Generative AI on AWS.
Save
Provides a comprehensive overview of deep learning, covering the foundations, techniques, and applications of deep learning. It valuable resource for anyone looking to gain a deeper understanding of this transformative technology.
Save
Provides a comprehensive overview of transformer models and their applications in NLP tasks, serving as a valuable resource for understanding the underlying concepts
Provides a comprehensive overview of the ethical considerations of AI, covering the foundations, techniques, and applications of ethical AI. It valuable resource for anyone looking to gain a deeper understanding of this important topic.
Examines the ethical implications of AI, providing insights into responsible development and deployment of generative AI systems
Save
Provides a non-technical overview of AI and its implications, serving as a helpful resource for those seeking a broader perspective
Provides a comprehensive overview of the impact of AI on the future of work, covering the foundations, techniques, and applications of AI. It valuable resource for anyone looking to gain a deeper understanding of this important topic.
Provides a business-oriented perspective on AI and machine learning, exploring their potential applications and implications for organizations
Save
Provides a comprehensive overview of the quest for the ultimate learning machine, covering the foundations, techniques, and applications of AI. It valuable resource for anyone looking to gain a deeper understanding of this important topic.
For more information about how these books relate to this course, visit:
OpenCourser.com/course/ec6ucj/creating
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Level
Advanced
Via
Pluralsight
Instructor
Faye Ellis
Language
English
Good to know
Teaches learners how to build generative AI applications on AWS
Suitable for learners with an interest in designing and building generative AI services using AWS technologies
Covers the fundamentals of generative AI, including foundation models and large language models
Provides guidance on implementing AI responsibly, addressing concerns such as hallucinations and data privacy
This course has a practical focus, teaching learners how to build a generative AI application using AWS services
Faye Ellis, an experienced instructor, teaches the course
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