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This is a self-paced lab that takes place in the Google Cloud console. This lab is part of a series designed to provide hands-on experience with Generative AI on Google Cloud.
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OpenCourser.com/course/16mk9j/generative
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What's inside
Syllabus
Generative AI with Vertex AI: Prompt Design
Good to know
Good to know
Know what's good ,
what to watch for , and
possible dealbreakers
Teaches advanced techniques for prompt design in Generative AI, which is crucial for effective model development
Provides hands-on experience in the Google Cloud console, which is essential for practical implementation
Part of a comprehensive series on Generative AI on Google Cloud, offering a structured learning path
Save this course
Save Generative AI with Vertex AI: Prompt Design to your list so you can find it easily later:
Save
Save
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 with Vertex AI: Prompt Design with these
activities:
Review Generative AI
Show steps
Review foundational concepts of generative AI to lay a strong base for understanding the course content
Browse courses on
Generative AI
Show steps
-
Go over notes or textbooks on Generative adversarial networks (GANs), Transformers, and language models
-
Watch introductory videos or tutorials on YouTube or Coursera on Generative AI
Seek guidance from experts in Generative AI
Show steps
Accelerate learning by seeking guidance and support from experienced professionals in the field of Generative AI
Browse courses on
Generative AI
Show steps
-
Attend industry events and meetups to connect with Generative AI experts
-
Reach out to researchers, practitioners, or industry leaders in the field
-
Ask for guidance on specific projects or career development
Engage in discussions with peers
Show steps
Foster understanding by discussing course topics and sharing perspectives with fellow learners
Show steps
-
Participate in online forums or discussion boards
-
Organize or join study groups
Five other activities
Expand to see all activities and additional details
Show all eight activities
Complete guided tutorials on Vertex AI
Show steps
Enhance understanding of Vertex AI's capabilities and gain hands-on experience with the platform
Browse courses on
Vertex AI
Show steps
-
Follow the 'Getting Started with Vertex AI' tutorial
-
Complete the 'Create a Custom Training Job for Image Classification' lab
Explore additional Generative AI resources
Show steps
Expand knowledge beyond the course material by exploring additional resources on Generative AI
Browse courses on
Generative AI
Show steps
-
Read articles and blog posts on recent advancements in Generative AI
-
Attend webinars or online conferences on Generative AI
-
Follow experts in the field on social media
Curate a collection of Generative AI resources
Show steps
Enhance understanding by organizing and referencing a collection of relevant materials on Generative AI
Browse courses on
Generative AI
Show steps
-
Gather articles, tutorials, videos, and other resources on Generative AI
-
Create a document or online repository to store and organize the resources
-
Share the compilation with others
Develop a Generative AI project
Show steps
Apply knowledge gained in the course to create a practical application of generative AI
Browse courses on
Generative AI
Show steps
-
Brainstorm and define a project idea that aligns with your interests and the course content
-
Gather and prepare the necessary data for your project
-
Train a generative AI model using Vertex AI
-
Evaluate the performance of your model and make necessary adjustments
-
Deploy your model and share it with others
Contribute to open-source Generative AI projects
Show steps
Gain practical experience and deepen understanding by contributing to the development of open-source Generative AI projects
Browse courses on
Generative AI
Show steps
-
Identify open-source Generative AI projects on platforms like GitHub
-
Review the project documentation and identify areas where you can contribute
-
Submit pull requests or propose new features
Review Generative AI
Show steps
Review foundational concepts of generative AI to lay a strong base for understanding the course content
Browse courses on
Generative AI
Show steps
Show steps
Show steps
- Go over notes or textbooks on Generative adversarial networks (GANs), Transformers, and language models
- Watch introductory videos or tutorials on YouTube or Coursera on Generative AI
Seek guidance from experts in Generative AI
Show steps
Accelerate learning by seeking guidance and support from experienced professionals in the field of Generative AI
Browse courses on
Generative AI
Show steps
Show steps
Show steps
- Attend industry events and meetups to connect with Generative AI experts
- Reach out to researchers, practitioners, or industry leaders in the field
- Ask for guidance on specific projects or career development
Engage in discussions with peers
Show steps
Foster understanding by discussing course topics and sharing perspectives with fellow learners
Show steps
Show steps
Show steps
- Participate in online forums or discussion boards
- Organize or join study groups
Five other activities
Expand to see all activities and additional details
Show all eight activities
Complete guided tutorials on Vertex AI
Show steps
Enhance understanding of Vertex AI's capabilities and gain hands-on experience with the platform
Browse courses on
Vertex AI
Show steps
Show steps
Show steps
- Follow the 'Getting Started with Vertex AI' tutorial
- Complete the 'Create a Custom Training Job for Image Classification' lab
Explore additional Generative AI resources
Show steps
Expand knowledge beyond the course material by exploring additional resources on Generative AI
Browse courses on
Generative AI
Show steps
Show steps
Show steps
- Read articles and blog posts on recent advancements in Generative AI
- Attend webinars or online conferences on Generative AI
- Follow experts in the field on social media
Curate a collection of Generative AI resources
Show steps
Enhance understanding by organizing and referencing a collection of relevant materials on Generative AI
Browse courses on
Generative AI
Show steps
Show steps
Show steps
- Gather articles, tutorials, videos, and other resources on Generative AI
- Create a document or online repository to store and organize the resources
- Share the compilation with others
Develop a Generative AI project
Show steps
Apply knowledge gained in the course to create a practical application of generative AI
Browse courses on
Generative AI
Show steps
Show steps
Show steps
- Brainstorm and define a project idea that aligns with your interests and the course content
- Gather and prepare the necessary data for your project
- Train a generative AI model using Vertex AI
- Evaluate the performance of your model and make necessary adjustments
- Deploy your model and share it with others
Contribute to open-source Generative AI projects
Show steps
Gain practical experience and deepen understanding by contributing to the development of open-source Generative AI projects
Browse courses on
Generative AI
Show steps
Show steps
Show steps
- Identify open-source Generative AI projects on platforms like GitHub
- Review the project documentation and identify areas where you can contribute
- Submit pull requests or propose new features
Career center
Learners who complete Generative AI with Vertex AI: Prompt Design will develop knowledge and skills
that may be useful to these careers:
Machine Learning Engineer
Machine Learning Engineer
A Machine Learning Engineer designs, develops, and deploys machine learning models. This course can be highly valuable for a Machine Learning Engineer because it focuses on designing prompts for AI models, a skill that is essential for success in this role.
Data Analyst
Data Analyst
A Data Analyst collects, cleans, and analyzes data to extract insights and inform decision-making. This course may be helpful for this career path because it focuses on designing prompts for AI models, a skill that can be useful for a Data Analyst.
Data Scientist
Data Scientist
A Data Scientist specializes in preparing data, building models, and analyzing results. This course may be useful for this career path because it focuses on designing prompts for AI models, a skill that can be highly valuable for a Data Scientist.
Business Analyst
Business Analyst
A Business Analyst identifies and analyzes business needs and develops solutions to improve business processes. This course may be useful for this career path because it focuses on designing prompts for AI models, a skill that can be useful for a Business Analyst.
Software Engineer
Software Engineer
A Software Engineer designs, develops, and maintains software systems. This course may be helpful for this career path because it focuses on designing prompts for AI models, a skill that can be useful for a Software Engineer.
Risk Analyst
Risk Analyst
A Risk Analyst identifies and evaluates risks to an organization. This course may be useful for this career path because it focuses on designing prompts for AI models, a skill that can be useful for a Risk Analyst.
Product Manager
Product Manager
A Product Manager is responsible for the development and management of a product. This course may be useful for this career path because it focuses on designing prompts for AI models, a skill that can be useful for a Product Manager.
Operations Manager
Operations Manager
An Operations Manager plans and manages the day-to-day operations of an organization. This course may be useful for this career path because it focuses on designing prompts for AI models, a skill that can be useful for an Operations Manager.
Consultant
Consultant
A Consultant provides advice and guidance to organizations on a variety of topics. This course may be useful for this career path because it focuses on designing prompts for AI models, a skill that can be useful for a Consultant.
Technical Writer
Technical Writer
A Technical Writer creates and maintains technical documentation. This course may be useful for this career path because it focuses on designing prompts for AI models, a skill that can be useful for a Technical Writer.
UX Designer
UX Designer
A UX Designer designs and evaluates the user experience of products and services. This course may be useful for this career path because it focuses on designing prompts for AI models, a skill that can be useful for a UX Designer.
Marketing Manager
Marketing Manager
A Marketing Manager plans and executes marketing campaigns to promote products and services. This course may be useful for this career path because it focuses on designing prompts for AI models, a skill that can be useful for a Marketing Manager.
Quality Assurance Analyst
Quality Assurance Analyst
A Quality Assurance Analyst tests and evaluates software products to ensure they meet quality standards. This course may be useful for this career path because it focuses on designing prompts for AI models, a skill that can be useful for a Quality Assurance Analyst.
Project Manager
Project Manager
A Project Manager plans and executes projects to achieve specific goals. This course may be useful for this career path because it focuses on designing prompts for AI models, a skill that can be useful for a Project Manager.
Sales Manager
Sales Manager
A Sales Manager leads and manages a team of sales professionals. This course may be useful for this career path because it focuses on designing prompts for AI models, a skill that can be useful for a Sales Manager.
For more career information including salaries, visit:
OpenCourser.com/course/16mk9j/generative
Reading list
We've selected six 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
Generative AI with Vertex AI: Prompt Design.
Save
Provides a comprehensive overview of deep learning, which foundational area for generative AI. It valuable resource for those who want to learn more about the underlying theory and algorithms of generative AI.
Provides a broad overview of deep learning techniques for natural language processing, which foundational area for generative AI. It valuable resource for those who want to learn more about the underlying theory and algorithms of generative AI.
This paper introduces diffusion models, which are a type of generative AI model that can be used to generate images, audio, and other types of data. It valuable resource for those who want to learn more about the technical details of generative AI.
Save
Explores the philosophical and societal implications of generative AI, including its potential impact on creativity, art, and human culture. It valuable resource for those who want to think more deeply about the broader implications of generative AI.
Save
Explores the ethical and societal implications of generative AI, including its potential for both good and harm. It valuable resource for those who want to think more deeply about the responsible development and use of generative AI.
Save
Provides a business perspective on generative AI, including its potential benefits and challenges for organizations. It valuable resource for those who want to learn more about how generative AI can be used in a business context.
For more information about how these books relate to this course, visit:
OpenCourser.com/course/16mk9j/generative
Share
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Effort
90 minutes
Level
Introductory
Via
Coursera
Institution
Google Cloud
Instructor
Google Cloud Training
Language
English
Good to know
Teaches advanced techniques for prompt design in Generative AI, which is crucial for effective model development
Provides hands-on experience in the Google Cloud console, which is essential for practical implementation
Part of a comprehensive series on Generative AI on Google Cloud, offering a structured learning path
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