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Google Cloud Training
Understand what Generative AI is, how it differs from traditional machine learning, and how it can be used in the real world with Udacity's Generative AI Course.
Register for this course and see more details by visiting:
OpenCourser.com/course/rf214x/generative
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What's inside
Syllabus
This is an introductory level microlearning course aimed at explaining what Generative AI is, how it is used, and how it differs from traditional machine learning methods.
Read more
Syllabus
This is an introductory level microlearning course aimed at explaining what Generative AI is, how it is used, and how it differs from traditional machine learning methods.
Read more
This is an introductory course that explores what large language models (LLM) are, the use cases where they can be utilized, and how you can use prompt tuning to enhance LLM performance.
This is an introductory-level microlearning course aimed at explaining what responsible AI is, why it's important, and how Google implements responsible AI in their products.
Pass the assessment in this course to demonstrate your understanding of foundational concepts in generative AI.
Good to know
Good to know
Know what's good ,
what to watch for , and
possible dealbreakers
Develops Generative AI, which is a trending AI method, and Responsible AI, which is vital to AI development
Taught by Google Cloud Training, who are recognized for their work with Generative AI
Explores Large Language Models (LLM), which are a fundamental aspect of Generative AI
Provides an assessment to validate understanding of Generative AI concepts
Suitable for beginners, providing a solid foundation in Generative AI
Requires learners to come in with understanding of basic machine learning concepts
Save this course
Save Generative AI Fundamentals with Google Cloud to your list so you can find it easily later:
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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 Generative AI Fundamentals with Google Cloud with these
activities:
Organize your learning resources
Show steps
Enhance your learning experience by organizing your course materials, notes, and resources, facilitating efficient review and knowledge retention.
Show steps
-
Create a dedicated folder or notebook for course materials.
-
Categorize and label your notes and resources for easy retrieval.
Engage in peer discussions
Show steps
Enhance your understanding by engaging in discussions with peers, exchanging ideas, and gaining diverse perspectives on Generative AI.
Browse courses on
Generative AI
Show steps
-
Participate in online forums or discussion groups dedicated to Generative AI.
-
Organize or join study groups to delve deeper into specific topics.
Practice prompt engineering
Show steps
Enhance your ability to effectively communicate with generative models by practicing prompt engineering techniques.
Browse courses on
Prompt Engineering
Show steps
-
Experiment with different prompt formats and styles.
-
Analyze the impact of prompt length and complexity on model output.
-
Seek feedback on your prompts from peers or experts.
Four other activities
Expand to see all activities and additional details
Show all seven activities
Explore Generative AI applications
Show steps
Expand your understanding of Generative AI's practical applications to enhance your comprehension of its potential impact.
Browse courses on
Generative AI Applications
Show steps
-
Identify real-world use cases of Generative AI in various industries.
-
Analyze case studies to understand the benefits and limitations of Generative AI.
Contribute to open-source projects
Show steps
Solidify your understanding of Generative AI by contributing to open-source projects, fostering collaboration and expanding your knowledge.
Show steps
-
Identify open-source projects related to Generative AI.
-
Review the project documentation and familiarize yourself with its goals.
-
Contribute code, documentation, or other resources to the project.
Develop a Generative AI project
Show steps
Reinforce your learning by applying Generative AI concepts to a practical project, fostering your problem-solving skills and creativity.
Browse courses on
Model Development
Show steps
-
Define a problem statement and gather relevant data.
-
Select and train a suitable generative model.
-
Evaluate the performance of your model and iterate on your approach.
-
Deploy your model and share your findings.
Build a Generative AI portfolio
Show steps
Showcase your skills and knowledge by building a portfolio of Generative AI projects, demonstrating your ability to apply concepts in practical settings.
Browse courses on
Project Development
Show steps
-
Identify potential Generative AI projects that align with your interests and skills.
-
Develop a project plan outlining your goals, approach, and timeline.
-
Execute your project plan and document your progress.
-
Present your completed projects in a portfolio format.
Organize your learning resources
Show steps
Enhance your learning experience by organizing your course materials, notes, and resources, facilitating efficient review and knowledge retention.
Show steps
Show steps
Show steps
- Create a dedicated folder or notebook for course materials.
- Categorize and label your notes and resources for easy retrieval.
Engage in peer discussions
Show steps
Enhance your understanding by engaging in discussions with peers, exchanging ideas, and gaining diverse perspectives on Generative AI.
Browse courses on
Generative AI
Show steps
Show steps
Show steps
- Participate in online forums or discussion groups dedicated to Generative AI.
- Organize or join study groups to delve deeper into specific topics.
Practice prompt engineering
Show steps
Enhance your ability to effectively communicate with generative models by practicing prompt engineering techniques.
Browse courses on
Prompt Engineering
Show steps
Show steps
Show steps
- Experiment with different prompt formats and styles.
- Analyze the impact of prompt length and complexity on model output.
- Seek feedback on your prompts from peers or experts.
Four other activities
Expand to see all activities and additional details
Show all seven activities
Explore Generative AI applications
Show steps
Expand your understanding of Generative AI's practical applications to enhance your comprehension of its potential impact.
Browse courses on
Generative AI Applications
Show steps
Show steps
Show steps
- Identify real-world use cases of Generative AI in various industries.
- Analyze case studies to understand the benefits and limitations of Generative AI.
Contribute to open-source projects
Show steps
Solidify your understanding of Generative AI by contributing to open-source projects, fostering collaboration and expanding your knowledge.
Show steps
Show steps
Show steps
- Identify open-source projects related to Generative AI.
- Review the project documentation and familiarize yourself with its goals.
- Contribute code, documentation, or other resources to the project.
Develop a Generative AI project
Show steps
Reinforce your learning by applying Generative AI concepts to a practical project, fostering your problem-solving skills and creativity.
Browse courses on
Model Development
Show steps
Show steps
Show steps
- Define a problem statement and gather relevant data.
- Select and train a suitable generative model.
- Evaluate the performance of your model and iterate on your approach.
- Deploy your model and share your findings.
Build a Generative AI portfolio
Show steps
Showcase your skills and knowledge by building a portfolio of Generative AI projects, demonstrating your ability to apply concepts in practical settings.
Browse courses on
Project Development
Show steps
Show steps
Show steps
- Identify potential Generative AI projects that align with your interests and skills.
- Develop a project plan outlining your goals, approach, and timeline.
- Execute your project plan and document your progress.
- Present your completed projects in a portfolio format.
Career center
Learners who complete Generative AI Fundamentals with Google Cloud will develop knowledge and skills
that may be useful to these careers:
Machine Learning Engineer
Machine Learning Engineer
A Machine Learning Engineer builds, deploys, and maintains machine learning models. Generative AI is a rapidly growing field of machine learning, and this course will help you build a foundation in the fundamentals of generative AI. This will make you a more attractive candidate for Machine Learning Engineer roles, as you will be able to use generative AI to build more powerful and innovative models.
Data Scientist
Data Scientist
A Data Scientist uses machine learning and other advanced analytical methods to solve business problems. Generative AI is a rapidly growing field of machine learning, and this course will help you build a foundation in the fundamentals of generative AI. This will make you a more attractive candidate for Data Scientist roles, as you will be able to use generative AI to solve even more complex problems.
Data Analyst
Data Analyst
A Data Analyst collects, analyzes, and interprets data to help businesses make better decisions. Generative AI is a rapidly growing field, and this course will help you build a foundation in the fundamentals of generative AI. This will make you a more attractive candidate for Data Analyst roles, as you will be able to use generative AI to analyze data more effectively and efficiently.
Software Engineer
Software Engineer
A Software Engineer designs, develops, and maintains software systems. Generative AI is a rapidly growing field, and this course will help you build a foundation in the fundamentals of generative AI. This will make you a more attractive candidate for Software Engineer roles, as you will be able to use generative AI to build more innovative and powerful software applications.
Product Manager
Product Manager
A Product Manager is responsible for the development and launch of new products. Generative AI is a rapidly growing field, and this course will help you build a foundation in the fundamentals of generative AI. This will make you a more attractive candidate for Product Manager roles, as you will be able to use generative AI to develop more innovative and successful products.
Operations Manager
Operations Manager
An Operations Manager plans and executes the day-to-day operations of a business. Generative AI is a rapidly growing field, and this course will help you build a foundation in the fundamentals of generative AI. This will make you a more attractive candidate for Operations Manager roles, as you will be able to use generative AI to improve the efficiency and effectiveness of your business's operations.
Consultant
Consultant
A Consultant provides advice and guidance to businesses on a variety of topics. Generative AI is a rapidly growing field, and this course will help you build a foundation in the fundamentals of generative AI. This will make you a more attractive candidate for Consultant roles, as you will be able to advise businesses on how to use generative AI to solve their business problems.
Quantitative Analyst
Quantitative Analyst
A Quantitative Analyst uses mathematical and statistical methods to analyze financial data. Generative AI is a rapidly growing field, and this course will help you build a foundation in the fundamentals of generative AI. This will make you a more attractive candidate for Quantitative Analyst roles, as you will be able to use generative AI to analyze financial data more effectively and efficiently.
Technical Writer
Technical Writer
A Technical Writer creates documentation for software, hardware, and other technical products. Generative AI is a rapidly growing field, and this course will help you build a foundation in the fundamentals of generative AI. This will make you a more attractive candidate for Technical Writer roles, as you will be able to use generative AI to create more clear and concise technical documentation.
Research Scientist
Research Scientist
A Research Scientist conducts research in a variety of fields, including science, engineering, and medicine. Generative AI is a rapidly growing field, and this course will help you build a foundation in the fundamentals of generative AI. This will make you a more attractive candidate for Research Scientist roles, as you will be able to use generative AI to conduct more innovative and groundbreaking research.
Marketing Manager
Marketing Manager
A Marketing Manager plans and executes marketing campaigns for products and services. Generative AI is a rapidly growing field, and this course will help you build a foundation in the fundamentals of generative AI. This will make you a more attractive candidate for Marketing Manager roles, as you will be able to use generative AI to create more effective and targeted marketing campaigns.
User Experience Designer
User Experience Designer
A User Experience Designer designs the user interface for websites, apps, and other products. Generative AI is a rapidly growing field, and this course will help you build a foundation in the fundamentals of generative AI. This will make you a more attractive candidate for User Experience Designer roles, as you will be able to use generative AI to design more user-friendly and engaging experiences.
Project Manager
Project Manager
A Project Manager plans and executes projects of all sizes. Generative AI is a rapidly growing field, and this course will help you build a foundation in the fundamentals of generative AI. This will make you a more attractive candidate for Project Manager roles, as you will be able to use generative AI to improve the planning and execution of your projects.
Sales Manager
Sales Manager
A Sales Manager leads and manages a team of salespeople. Generative AI is a rapidly growing field, and this course will help you build a foundation in the fundamentals of generative AI. This will make you a more attractive candidate for Sales Manager roles, as you will be able to use generative AI to improve your sales team's performance.
Business Analyst
Business Analyst
A Business Analyst analyzes business processes and makes recommendations for improvement. Generative AI is a rapidly growing field, and this course will help you build a foundation in the fundamentals of generative AI. This will make you a more attractive candidate for Business Analyst roles, as you will be able to use generative AI to analyze business processes more effectively and efficiently.
For more career information including salaries, visit:
OpenCourser.com/course/rf214x/generative
Reading list
We've selected 11 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 Fundamentals with Google Cloud.
Provides a comprehensive introduction to AI ethics, covering the underlying concepts, principles, and practices. It valuable resource for anyone who wants to learn more about this important topic.
Provides a comprehensive introduction to AI, covering the underlying concepts, principles, and practices. It valuable resource for anyone who wants to learn more about this important topic.
Provides a comprehensive overview of the use of Generative AI to improve drug discovery. It valuable resource for anyone looking to use Generative AI to develop new drugs and treatments.
Provides a practical introduction to deep learning for coders, using the fastai library and PyTorch. It valuable resource for anyone who wants to learn how to build and train deep learning models.
Save
Provides a comprehensive introduction to computer vision, covering the underlying concepts and applications. It valuable resource for anyone who wants to learn more about this rapidly evolving field.
Provides a comprehensive introduction to speech and language processing, covering the underlying concepts and applications. It valuable resource for anyone who wants to learn more about this rapidly evolving field.
Provides a concise and accessible introduction to machine learning, covering the underlying concepts and applications. It valuable resource for anyone who wants to learn more about this rapidly evolving field.
Provides a comprehensive introduction to reinforcement learning, covering the underlying concepts and applications. It valuable resource for anyone who wants to learn more about this rapidly evolving field.
Save
Provides a comprehensive overview of the use of Generative AI to improve healthcare. It valuable resource for anyone looking to use Generative AI to improve healthcare outcomes.
Provides a comprehensive overview of machine learning, covering the fundamental concepts, algorithms, and applications. It valuable resource for anyone looking to gain a deeper understanding of this field.
Provides a comprehensive overview of deep learning, covering the fundamental concepts, algorithms, and applications. It valuable resource for anyone looking to gain a deeper understanding of this field.
For more information about how these books relate to this course, visit:
OpenCourser.com/course/rf214x/generative
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Effort
3 hours
Via
Udacity
Instructor
Google Cloud Training
Language
English
Good to know
Develops Generative AI, which is a trending AI method, and Responsible AI, which is vital to AI development
Taught by Google Cloud Training, who are recognized for their work with Generative AI
Explores Large Language Models (LLM), which are a fundamental aspect of Generative AI
Provides an assessment to validate understanding of Generative AI concepts
Suitable for beginners, providing a solid foundation in Generative AI
Requires learners to come in with understanding of basic machine learning concepts
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