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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)

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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.

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What's inside

Syllabus

Developing Generative AI Solutions

Good to know

Know what's good
, what to watch for
, and possible dealbreakers
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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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
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
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
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
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Practice Prompt Engineering
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
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
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
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
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
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

Career center

Learners who complete Developing Generative AI Solutions will develop knowledge and skills that may be useful to these careers:

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