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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. It also covers Google Tools to help you develop your own Gen AI apps.
Register for this course and see more details by visiting:
OpenCourser.com/course/z398ju/introduction
What's inside
Syllabus
Introduction to Generative AI
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. It also covers Google Tools to help you develop your own Gen AI apps.
Good to know
Good to know
Know what's good ,
what to watch for , and
possible dealbreakers
Can serve as a first step into the discipline for aspiring software developers
Can benefit experienced software developers
Emphasizes the use of Google Cloud based products and services
Is offered by Google Cloud Training, a reputable provider
Is from an instructor from Google Cloud Training, an organization leading in the field
Save this course
Save Introduction to Generative AI 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 Introduction to Generative AI with these
activities:
Organize your Generative AI course materials
Show steps
Improve your retention of Generative AI concepts by organizing your course materials.
Browse courses on
Generative AI
Show steps
-
Create a folder for your Generative AI course materials
-
Organize your materials into subfolders
-
Review your materials regularly
Review basic machine learning concepts
Show steps
Strengthen your foundation for Generative AI by reviewing basic machine learning concepts.
Browse courses on
Machine Learning
Show steps
-
Review lecture notes or textbooks on machine learning
-
Complete practice problems on machine learning concepts
-
Take a refresher course on machine learning
Follow a Generative AI tutorial
Show steps
Expand your knowledge of Generative AI by following a guided tutorial.
Browse courses on
Generative AI
Show steps
-
Find a Generative AI tutorial
-
Follow the steps in the tutorial
-
Complete any exercises or challenges in the tutorial
Four other activities
Expand to see all activities and additional details
Show all seven activities
Solve Generative AI coding challenges
Show steps
Practice implementing Generative AI algorithms by solving coding challenges.
Browse courses on
Generative AI
Show steps
-
Find a Generative AI coding challenge platform
-
Choose a challenge to solve
-
Develop a solution to the challenge
-
Test and debug your solution
-
Submit your solution
Write a blog post about Generative AI
Show steps
Solidify your understanding of Generative AI by explaining it to others in a blog post.
Browse courses on
Generative AI
Show steps
-
Research Generative AI
-
Write an outline for your blog post
-
Write the first draft of your blog post
-
Edit and proofread your blog post
-
Publish your blog post
Build a Generative AI App
Show steps
Develop your understanding of Generative AI by implementing your own app that uses this technology.
Browse courses on
Generative AI
Show steps
-
Choose an idea for your app
-
Research existing Generative AI tools and techniques
-
Build a prototype of your app
-
Test and iterate on your app
-
Deploy your app
Answer questions about Generative AI on forums
Show steps
Reinforce your understanding of Generative AI by helping others learn about it.
Browse courses on
Generative AI
Show steps
-
Find a forum or online community where people discuss Generative AI
-
Identify questions that you can answer
-
Write thoughtful and helpful responses
Organize your Generative AI course materials
Show steps
Improve your retention of Generative AI concepts by organizing your course materials.
Browse courses on
Generative AI
Show steps
Show steps
Show steps
- Create a folder for your Generative AI course materials
- Organize your materials into subfolders
- Review your materials regularly
Review basic machine learning concepts
Show steps
Strengthen your foundation for Generative AI by reviewing basic machine learning concepts.
Browse courses on
Machine Learning
Show steps
Show steps
Show steps
- Review lecture notes or textbooks on machine learning
- Complete practice problems on machine learning concepts
- Take a refresher course on machine learning
Follow a Generative AI tutorial
Show steps
Expand your knowledge of Generative AI by following a guided tutorial.
Browse courses on
Generative AI
Show steps
Show steps
Show steps
- Find a Generative AI tutorial
- Follow the steps in the tutorial
- Complete any exercises or challenges in the tutorial
Four other activities
Expand to see all activities and additional details
Show all seven activities
Solve Generative AI coding challenges
Show steps
Practice implementing Generative AI algorithms by solving coding challenges.
Browse courses on
Generative AI
Show steps
Show steps
Show steps
- Find a Generative AI coding challenge platform
- Choose a challenge to solve
- Develop a solution to the challenge
- Test and debug your solution
- Submit your solution
Write a blog post about Generative AI
Show steps
Solidify your understanding of Generative AI by explaining it to others in a blog post.
Browse courses on
Generative AI
Show steps
Show steps
Show steps
- Research Generative AI
- Write an outline for your blog post
- Write the first draft of your blog post
- Edit and proofread your blog post
- Publish your blog post
Build a Generative AI App
Show steps
Develop your understanding of Generative AI by implementing your own app that uses this technology.
Browse courses on
Generative AI
Show steps
Show steps
Show steps
- Choose an idea for your app
- Research existing Generative AI tools and techniques
- Build a prototype of your app
- Test and iterate on your app
- Deploy your app
Answer questions about Generative AI on forums
Show steps
Reinforce your understanding of Generative AI by helping others learn about it.
Browse courses on
Generative AI
Show steps
Show steps
Show steps
- Find a forum or online community where people discuss Generative AI
- Identify questions that you can answer
- Write thoughtful and helpful responses
Career center
Learners who complete Introduction to Generative AI will develop knowledge and skills
that may be useful to these careers:
AI Engineer
AI Engineer
AI Engineers design, develop, and maintain AI systems. They use their knowledge of machine learning, deep learning, and other AI technologies to build systems that can perform a variety of tasks, such as image recognition, natural language processing, and speech recognition. This course can help you build a foundation in AI and machine learning, which are essential skills for AI Engineers.
Machine Learning Engineer
Machine Learning Engineer
Machine Learning Engineers design, develop, and maintain machine learning models. They use their knowledge of machine learning, deep learning, and other AI technologies to build models that can perform a variety of tasks, such as image recognition, natural language processing, and speech recognition. This course can help you build a foundation in machine learning and deep learning, which are essential skills for Machine Learning Engineers.
Data Scientist
Data Scientist
Data Scientists use their knowledge of statistics, machine learning, and data analysis to extract insights from data. They use these insights to help businesses make better decisions. This course can help you build a foundation in machine learning and data analysis, which are essential skills for Data Scientists.
Data Analyst
Data Analyst
Data Analysts use their knowledge of statistics, data analysis, and data visualization to extract insights from data. They use these insights to help businesses make better decisions. This course can help you build a foundation in data analysis, which is an essential skill for Data Analysts.
Software Engineer
Software Engineer
Software Engineers design, develop, and maintain software applications. They use their knowledge of programming languages, software development tools, and software engineering principles to build software that meets the needs of users. This course can help you build a foundation in software development, which is an essential skill for Software Engineers.
Financial Analyst
Financial Analyst
Financial Analysts use their knowledge of financial modeling, accounting, and economics to analyze financial data. They use this information to help businesses make investment decisions. This course can help you build a foundation in financial analysis, which is an essential skill for Financial Analysts.
Risk Analyst
Risk Analyst
Risk Analysts use their knowledge of risk management, statistics, and data analysis to identify and assess risks. They use this information to help businesses make decisions about how to mitigate risks. This course can help you build a foundation in risk analysis, which is an essential skill for Risk Analysts.
Fund Manager
Fund Manager
Fund Managers use their knowledge of financial modeling, accounting, and economics to manage investment funds. They use this information to help businesses make investment decisions. This course can help you build a foundation in fund management, which is an essential skill for Fund Managers.
Investment Analyst
Investment Analyst
Investment Analysts use their knowledge of financial modeling, accounting, and economics to analyze financial data. They use this information to help businesses make investment decisions. This course can help you build a foundation in investment analysis, which is an essential skill for Investment Analysts.
Quantitative Analyst
Quantitative Analyst
Quantitative Analysts use their knowledge of mathematics, statistics, and financial modeling to develop and implement financial models. They use these models to help businesses make investment decisions. This course can help you build a foundation in quantitative analysis, which is an essential skill for Quantitative Analysts.
Actuary
Actuary
Actuaries use their knowledge of mathematics, statistics, and financial modeling to develop and implement financial models. They use these models to help businesses make decisions about how to manage risks. This course can help you build a foundation in actuarial science, which is an essential skill for Actuaries.
Portfolio Manager
Portfolio Manager
Portfolio Managers use their knowledge of financial modeling, accounting, and economics to manage investment portfolios. They use this information to help businesses make investment decisions. This course can help you build a foundation in portfolio management, which is an essential skill for Portfolio Managers.
Venture Capitalist
Venture Capitalist
Venture Capitalists use their knowledge of financial modeling, accounting, and economics to invest in early-stage businesses. They use this information to help businesses make investment decisions. This course can help you build a foundation in venture capital, which is an essential skill for Venture Capitalists.
Business Analyst
Business Analyst
Business Analysts help businesses understand their needs and develop solutions to meet those needs. They use their knowledge of business processes, data analysis, and technology to help businesses improve their operations. This course can help you build a foundation in business analysis, which is an essential skill for Business Analysts.
Product Manager
Product Manager
Product Managers are responsible for the development and launch of new products. They work with engineers, designers, and other team members to bring new products to market. This course can help you build a foundation in product management, which is an essential skill for Product Managers.
For more career information including salaries, visit:
OpenCourser.com/course/z398ju/introduction
Featured in The Course Notes
This course is mentioned in our blog,
The Course Notes. Read
one article that features
Introduction to Generative AI :
To read more articles from OpenCourser, visit:
OpenCourser.com/notes
Reading list
We've selected 12 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
Introduction to Generative AI .
This paper introduces variational autoencoders (VAEs), a type of generative AI that has been used to generate images, music, and other types of data. It foundational work in the field of generative AI.
Save
Provides a thorough introduction to deep learning techniques for generative AI. It covers a wide range of topics, including generative adversarial networks (GANs), variational autoencoders (VAEs), and reinforcement learning. It valuable resource for anyone looking to develop their skills in generative AI.
Save
Classic introduction to deep learning, covering the foundational concepts and algorithms. It valuable resource for anyone who wants to understand the underlying principles of generative AI.
Provides a comprehensive overview of generative AI techniques for music. It is an excellent resource for those interested in building music-based generative AI applications.
Explores the challenges of aligning the goals of AI systems with human values. It valuable resource for anyone who is interested in the social and ethical implications of generative AI.
Save
Provides a comprehensive overview of generative AI techniques for healthcare. It is an excellent resource for those interested in building healthcare-based generative AI applications.
Explores the potential risks and benefits of generative AI, and provides recommendations for how to ensure that this technology is used safely and responsibly.
Save
Explores the potential future of humanity, and discusses the role that AI will play in shaping our future.
Save
Explores the potential impact of AI on human society, and discusses the challenges and opportunities that we will face in the future.
Provides a clear and accessible introduction to AI, and discusses the implications of AI for our lives and society.
Explores the potential of AI to solve some of the world's most pressing problems, such as poverty, disease, and climate change.
Save
Explores the potential risks and benefits of superintelligence, and discusses the challenges and opportunities that we will face in the future.
For more information about how these books relate to this course, visit:
OpenCourser.com/course/z398ju/introduction
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Level
Introductory
Via
Coursera
Institution
Google Cloud
Instructor
Google Cloud Training
Language
English
Transcripts
Español
Français
Português
Deutsch
中文
العربية
한국어
日本語
हिंदी
Bahasa Indonesia
Good to know
Can serve as a first step into the discipline for aspiring software developers
Can benefit experienced software developers
Emphasizes the use of Google Cloud based products and services
Is offered by Google Cloud Training, a reputable provider
Is from an instructor from Google Cloud Training, an organization leading in the field
Featured in The Course Notes
Read
one article that features
this course,
Introduction to Generative AI
from our blog, The Course Notes:
To read more articles from OpenCourser, visit:
OpenCourser.com/notes
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