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AWS Instructor
In this course, you will explore the generative artificial intelligence (generative AI) application lifecycle, which includes the following:
- Defining a business use case
- Selecting a foundation model (FM)
- Improving the performance of an FM
- Evaluating the performance of an FM
- Deployment and its impact on business objectives
This course is a primer to generative AI courses, which dive deeper into concepts related to customizing an FM using prompt engineering, Retrieval Augmented Generation (RAG), and fine-tuning.
Register for this course and see more details by visiting:
OpenCourser.com/course/ly04gu/developing
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What's inside
Syllabus
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Taught by AWS Instructor, recognized for their work with AWS
Examines generative AI, which could have applications in various industries and solve complex business problems
Provides a foundation for generative AI courses that explore advanced concepts in the field
Requires a basic understanding of generative AI concepts and applications
Emphasizes business use cases and potential impacts on business objectives, which may be beneficial for professionals seeking to apply generative AI in their organizations
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Reviews summary
Generative ai lifecycle on aws
According to learners, this course offers a largely positive and well-structured introduction to the generative AI application lifecycle, particularly within the AWS ecosystem. Students highlight its practical relevance and the value of hands-on labs for understanding model selection, evaluation, and deployment. While praised for its clear explanations and suitability for working professionals new to the domain, some note its nature as a primer course, suggesting it provides a high-level overview rather than deep technical dives. It's ideal for those seeking to connect AI solutions with business use cases.
Provides a foundational, high-level overview of Generative AI.
"This course is truly a primer, so set your expectations accordingly; it's an overview."
"It covers the lifecycle well, but I felt some parts... could have gone a bit deeper."
"I was hoping for more coding examples or advanced techniques, but it's a good starting point."
Stays current with the rapidly evolving field of Generative AI.
"The course content is highly relevant and updated regularly, which is impressive given how fast Generative AI is evolving."
"I appreciate that the course seems to be kept current, which is vital in this field."
"It addresses current trends in generative AI solutions effectively."
Presents complex concepts in an easy-to-understand manner.
"The lectures are clear and the course is very well-structured."
"The instructors explained complex concepts in a way that was easy to grasp."
"I found the explanations demystified the generative AI application process effectively."
Provides valuable practical experience using AWS services.
"The hands-on labs are incredibly helpful for understanding how to select and evaluate foundation models."
"The practical examples using AWS services were strong and gave me invaluable experience."
"I found the practical exercises useful for applying the concepts taught in the lectures."
Connects AI concepts to real-world business use cases.
"I particularly appreciated the focus on defining a business use case, which is crucial for real-world application."
"The practical relevance of this course is outstanding. It helps connect the dots between business needs and AI solutions."
"I learned to identify business use cases and select foundation models, which is directly applicable to my work."
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 Developing Generative AI Solutions with these
activities:
Review the fundamentals of Generative AI
Show steps
Solidify understanding of the core concepts behind Generative AI and its applications.
Browse courses on
Generative AI
Show steps
-
Read articles and watch videos on Generative AI
-
Review your notes or textbooks from previous courses on AI or machine learning
-
Take an online course or tutorial on Generative AI
Explore OpenAI's GPT-3 Examples
Show steps
Review foundational concepts of GPT-3's language generation capabilities to better understand generative AI's potential.
Browse courses on
GPT-3
Show steps
-
Visit OpenAI's GPT-3 playground
-
Experiment with different prompts and settings
-
Analyze the generated text for quality and relevance
Join a Generative AI study group or discussion forum
Show steps
Connect with other learners, share knowledge, and get support in your Generative AI journey.
Browse courses on
Generative AI
Show steps
-
Join a Generative AI study group or online discussion forum
-
Participate in discussions, ask questions, and share your insights
-
Collaborate with other members on projects or learning exercises
Six other activities
Expand to see all activities and additional details
Show all nine activities
Practice Prompt Engineering
Show steps
Deepen understanding of how to effectively use prompts to guide Generative AI models.
Browse courses on
Prompt Engineering
Show steps
-
Experiment with different prompts to see how they affect the output of a Generative AI model
-
Create a set of prompts for a specific task or use case
-
Share your prompts with others and get feedback
Follow advanced tutorials on Generative AI techniques
Show steps
Expand knowledge of cutting-edge Generative AI techniques and methodologies.
Browse courses on
Generative AI
Show steps
-
Identify specific areas of Generative AI you want to learn more about
-
Search for and select high-quality tutorials on those topics
-
Follow the tutorials step-by-step and implement the techniques in your own projects
Contribute to an open-source Generative AI project
Show steps
Gain practical experience while contributing to the Generative AI community.
Browse courses on
Generative AI
Show steps
-
Find an open-source Generative AI project that aligns with your interests
-
Review the project documentation and contribute to discussions
-
Make code contributions or help with documentation and testing
Build a Generative AI application
Show steps
Gain hands-on experience in developing and deploying Generative AI applications.
Browse courses on
Generative AI
Show steps
-
Choose a specific task or use case for your application
-
Select a suitable Generative AI model and API
-
Develop the front-end and back-end of your application
-
Test and deploy your application
Write a white paper or blog post on a specific Generative AI topic
Show steps
Deepen understanding of a chosen Generative AI topic and share knowledge with others.
Browse courses on
Generative AI
Show steps
-
Choose a specific Generative AI topic that you are interested in and knowledgeable about
-
Research the topic thoroughly and gather relevant information
-
Organize your thoughts and write a well-structured white paper or blog post
-
Publish your white paper or blog post and share it with others
Participate in a Generative AI hackathon or competition
Show steps
Test skills and push boundaries in a practical and competitive environment.
Browse courses on
Generative AI
Show steps
-
Find a relevant Generative AI hackathon or competition
-
Form a team or work on your own
-
Develop a creative and innovative Generative AI solution
-
Submit your solution and get feedback from experts
Review the fundamentals of Generative AI
Show steps
Solidify understanding of the core concepts behind Generative AI and its applications.
Browse courses on
Generative AI
Show steps
Show steps
Show steps
- Read articles and watch videos on Generative AI
- Review your notes or textbooks from previous courses on AI or machine learning
- Take an online course or tutorial on Generative AI
Explore OpenAI's GPT-3 Examples
Show steps
Review foundational concepts of GPT-3's language generation capabilities to better understand generative AI's potential.
Browse courses on
GPT-3
Show steps
Show steps
Show steps
- Visit OpenAI's GPT-3 playground
- Experiment with different prompts and settings
- Analyze the generated text for quality and relevance
Join a Generative AI study group or discussion forum
Show steps
Connect with other learners, share knowledge, and get support in your Generative AI journey.
Browse courses on
Generative AI
Show steps
Show steps
Show steps
- Join a Generative AI study group or online discussion forum
- Participate in discussions, ask questions, and share your insights
- Collaborate with other members on projects or learning exercises
Six other activities
Expand to see all activities and additional details
Show all nine activities
Practice Prompt Engineering
Show steps
Deepen understanding of how to effectively use prompts to guide Generative AI models.
Browse courses on
Prompt Engineering
Show steps
Show steps
Show steps
- Experiment with different prompts to see how they affect the output of a Generative AI model
- Create a set of prompts for a specific task or use case
- Share your prompts with others and get feedback
Follow advanced tutorials on Generative AI techniques
Show steps
Expand knowledge of cutting-edge Generative AI techniques and methodologies.
Browse courses on
Generative AI
Show steps
Show steps
Show steps
- Identify specific areas of Generative AI you want to learn more about
- Search for and select high-quality tutorials on those topics
- Follow the tutorials step-by-step and implement the techniques in your own projects
Contribute to an open-source Generative AI project
Show steps
Gain practical experience while contributing to the Generative AI community.
Browse courses on
Generative AI
Show steps
Show steps
Show steps
- Find an open-source Generative AI project that aligns with your interests
- Review the project documentation and contribute to discussions
- Make code contributions or help with documentation and testing
Build a Generative AI application
Show steps
Gain hands-on experience in developing and deploying Generative AI applications.
Browse courses on
Generative AI
Show steps
Show steps
Show steps
- Choose a specific task or use case for your application
- Select a suitable Generative AI model and API
- Develop the front-end and back-end of your application
- Test and deploy your application
Write a white paper or blog post on a specific Generative AI topic
Show steps
Deepen understanding of a chosen Generative AI topic and share knowledge with others.
Browse courses on
Generative AI
Show steps
Show steps
Show steps
- Choose a specific Generative AI topic that you are interested in and knowledgeable about
- Research the topic thoroughly and gather relevant information
- Organize your thoughts and write a well-structured white paper or blog post
- Publish your white paper or blog post and share it with others
Participate in a Generative AI hackathon or competition
Show steps
Test skills and push boundaries in a practical and competitive environment.
Browse courses on
Generative AI
Show steps
Show steps
Show steps
- Find a relevant Generative AI hackathon or competition
- Form a team or work on your own
- Develop a creative and innovative Generative AI solution
- Submit your solution and get feedback from experts
Career center
Learners who complete Developing Generative AI Solutions will develop knowledge and skills
that may be useful to these careers:
For more career information including salaries, visit:
OpenCourser.com/course/ly04gu/developing
Reading list
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For more information about how these books relate to this course, visit:
OpenCourser.com/course/ly04gu/developing
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