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Gabriella Rodolico
Discover the foundations of generative AI in our dynamic course. Gain a comprehensive grasp of generative AI basics, including definitions, prompt engineering, ethical considerations, and best practices. This engaging, discussion-focused course empowers learners to explore generative AI through hands-on practice with recommended tools. Learners actively participate in discussions, sharing insights and findings in the forum.
Read more
Discover the foundations of generative AI in our dynamic course. Gain a comprehensive grasp of generative AI basics, including definitions, prompt engineering, ethical considerations, and best practices. This engaging, discussion-focused course empowers learners to explore generative AI through hands-on practice with recommended tools. Learners actively participate in discussions, sharing insights and findings in the forum.
Read more
Discover the foundations of generative AI in our dynamic course. Gain a comprehensive grasp of generative AI basics, including definitions, prompt engineering, ethical considerations, and best practices. This engaging, discussion-focused course empowers learners to explore generative AI through hands-on practice with recommended tools. Learners actively participate in discussions, sharing insights and findings in the forum.
Our course is uniquely structured, emphasising both practical exercises and in-depth conversations. By providing initial insights and encouraging practice, we nurture learners' confidence in understanding generative AI. We facilitate a supportive environment where learners critically evaluate AI's impact, discussing its advantages and challenges in educational contexts.
Join us to cultivate expertise in generative AI, bridging theory and practical application. Explore its potential, refine your skills, and contribute meaningfully to the discourse surrounding AI in education.
Register for this course and see more details by visiting:
OpenCourser.com/course/ot41wn/generative
What's inside
Syllabus
Week 1: Introduction to Generative AI
A welcome and introduction to the course overall before moving on to the basics about generative AI: what it is, what educational institutions are saying about it, and prompt engineering for generative AI.
Read more
Syllabus
Week 1: Introduction to Generative AI
A welcome and introduction to the course overall before moving on to the basics about generative AI: what it is, what educational institutions are saying about it, and prompt engineering for generative AI.
Read more
Week 2: Good Practice, Advice, and Things to Think About
In Module 2, you'll learn about some additional good practice in working with AI, gain some insights into the student perspective, and do activities designed to make you think about what would be good guidance to provide on AI.
Week 3: Ethics and Generative AI in Education
Module 3 takes a deeper dive into the ethics surrounding generative AI and its use in education. We'll look at the risks that can come with generative AI and consider how to analyse them, while also considering the philosophy of education and cognitive loads.
Week 4: Practice with Tools and Check Your Understanding
In this module, you'll explore other insights on how generative AI can be a helpful tool within the education sector, as well as tools that can help you expand your thinking and planning when it comes to incorporating it in the classroom.
Good to know
Good to know
Know what's good ,
what to watch for , and
possible dealbreakers
Introduces fundamental principles, concepts, vocabulary, and best practices in generative AI
Facilitates discussions and hands-on experimentation, fostering active engagement and knowledge sharing
Emphasizes ethical considerations and their implications in educational settings, promoting responsible use of generative AI
Provides opportunities to refine skills through the exploration of generative AI tools and applications
Suitable for educators and individuals seeking a comprehensive understanding of generative AI, its capabilities, and its potential in education
Involves activities designed to encourage critical thinking and thoughtful analysis of generative AI's impact on education
Save this course
Save Generative AI in Education 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 in Education with these
activities:
Introduce fundamental concepts
Show steps
Refresh your foundational knowledge of generative AI, including core concepts and related theories, to help you understand the course content more effectively.
Show steps
-
Review core concepts of generative AI
-
Practice applying generative AI principles in different contexts
Prompt Engineering Practice
Show steps
Engage in guided exercises and practice activities tailored to improve your prompt engineering skills, essential for effectively interacting with generative AI.
Show steps
-
Develop clear and concise prompts
-
Optimize prompts for desired outputs
Join Discussion Forums
Show steps
Participate in online discussions with peers to share insights, ask questions, and engage with different perspectives on generative AI, fostering a deeper understanding.
Show steps
-
Engage in discussions with peers
-
Share your knowledge and experiences
-
Learn from others' insights
Five other activities
Expand to see all activities and additional details
Show all eight activities
Create AI-generated content
Show steps
Experiment with different generative AI tools to create unique and engaging content, such as text, images, or videos, reinforcing your understanding of generative AI's capabilities.
Show steps
-
Choose appropriate tools and techniques
-
Generate content using AI tools
-
Refine and enhance generated content
Participate in Generative AI Challenges
Show steps
Join generative AI competitions to test your skills, expand your knowledge, and receive feedback from experts, enhancing your overall understanding of generative AI's capabilities and applications.
Show steps
-
Identify and select relevant competitions
-
Develop and refine your generative AI solutions
-
Submit your solutions and receive feedback
Create a Resource Toolkit
Show steps
Compile a collection of valuable resources, including articles, tutorials, and tools, related to generative AI, providing yourself with a comprehensive reference point for future learning and applications.
Show steps
-
Identify and gather relevant resources
-
Organize and categorize the resources
-
Share your resource toolkit with others
Connect with AI Professionals
Show steps
Reach out to industry experts or researchers in generative AI to gain insights, ask questions, and receive guidance, fostering your professional growth in the field.
Show steps
-
Identify potential mentors
-
Reach out and introduce yourself
-
Build relationships and learn from their experiences
Contribute to Generative AI Projects
Show steps
Engage with open-source generative AI projects to contribute to the community, learn from others' approaches, and expand your technical skills in generative AI development.
Show steps
-
Identify open-source projects related to generative AI
-
Review project documentation and code
-
Contribute to the project by fixing issues or adding features
Introduce fundamental concepts
Show steps
Refresh your foundational knowledge of generative AI, including core concepts and related theories, to help you understand the course content more effectively.
Show steps
Show steps
Show steps
- Review core concepts of generative AI
- Practice applying generative AI principles in different contexts
Prompt Engineering Practice
Show steps
Engage in guided exercises and practice activities tailored to improve your prompt engineering skills, essential for effectively interacting with generative AI.
Show steps
Show steps
Show steps
- Develop clear and concise prompts
- Optimize prompts for desired outputs
Join Discussion Forums
Show steps
Participate in online discussions with peers to share insights, ask questions, and engage with different perspectives on generative AI, fostering a deeper understanding.
Show steps
Show steps
Show steps
- Engage in discussions with peers
- Share your knowledge and experiences
- Learn from others' insights
Five other activities
Expand to see all activities and additional details
Show all eight activities
Create AI-generated content
Show steps
Experiment with different generative AI tools to create unique and engaging content, such as text, images, or videos, reinforcing your understanding of generative AI's capabilities.
Show steps
Show steps
Show steps
- Choose appropriate tools and techniques
- Generate content using AI tools
- Refine and enhance generated content
Participate in Generative AI Challenges
Show steps
Join generative AI competitions to test your skills, expand your knowledge, and receive feedback from experts, enhancing your overall understanding of generative AI's capabilities and applications.
Show steps
Show steps
Show steps
- Identify and select relevant competitions
- Develop and refine your generative AI solutions
- Submit your solutions and receive feedback
Create a Resource Toolkit
Show steps
Compile a collection of valuable resources, including articles, tutorials, and tools, related to generative AI, providing yourself with a comprehensive reference point for future learning and applications.
Show steps
Show steps
Show steps
- Identify and gather relevant resources
- Organize and categorize the resources
- Share your resource toolkit with others
Connect with AI Professionals
Show steps
Reach out to industry experts or researchers in generative AI to gain insights, ask questions, and receive guidance, fostering your professional growth in the field.
Show steps
Show steps
Show steps
- Identify potential mentors
- Reach out and introduce yourself
- Build relationships and learn from their experiences
Contribute to Generative AI Projects
Show steps
Engage with open-source generative AI projects to contribute to the community, learn from others' approaches, and expand your technical skills in generative AI development.
Show steps
Show steps
Show steps
- Identify open-source projects related to generative AI
- Review project documentation and code
- Contribute to the project by fixing issues or adding features
Career center
Learners who complete Generative AI in Education will develop knowledge and skills
that may be useful to these careers:
AI Ethicist
AI Ethicist
An AI Ethicist ensures that AI systems are developed and used in a responsible and ethical manner. Generative AI in Education dives deep into the ethics surrounding generative AI and its use in education. The program will prepare you to analyze the risks that come with generative AI and equip you with knowledge of how to manage risks.
Instructional Designer
Instructional Designer
An Instructional Designer creates and develops educational materials. Generative AI in Education can help you to develop a better understanding of how AI can be used to create educational materials. This program also offers insights into the ethical considerations of using AI, which will be valuable for Instructional Designers.
Educational Technologist
Educational Technologist
An Educational Technologist designs, develops, and implements educational technology solutions. Generative AI in Education can help you to develop a better understanding of how AI can be used to improve education. This program also offers insights into the ethical considerations of using AI, which will be valuable for Educational Technologists.
AI Teacher
AI Teacher
An AI Teacher teaches AI to students. Generative AI in Education can educate you on the basics of generative AI, including definitions, prompt engineering, ethical considerations, and best practices. Along with learning the basics, this program will help you develop the tools needed to teach AI.
AI Researcher
AI Researcher
An AI Researcher develops new AI algorithms and technologies. Generative AI in Education can help you develop a solid foundation in generative AI, including definitions, prompt engineering, and best practices.
AI Engineer
AI Engineer
An AI Engineer designs, develops, and maintains AI systems. Generative AI in Education will help you strengthen your knowledge of AI and help you to cultivate expertise in generative AI, bridging theory and practical application.
Computer Scientist
Computer Scientist
A Computer Scientist researches and develops computer systems. Generative AI in Education can help you to develop a foundation in generative AI, including definitions, prompt engineering, ethical considerations, and best practices. This program will also expose you to tools that can help you expand your thinking and planning when it comes to incorporating generative AI in the classroom.
Natural Language Processing Engineer
Natural Language Processing Engineer
A Natural Language Processing Engineer designs, develops, and deploys natural language processing models. Generative AI in Education can help you to develop a foundation in generative AI, including definitions, prompt engineering, ethical considerations, and best practices. This program will also expose you to tools that can help you expand your thinking and planning when it comes to incorporating generative AI in the classroom.
Software Engineer
Software Engineer
A Software Engineer designs, develops, and deploys software. Generative AI in Education can help you to develop a foundation in generative AI, including definitions, prompt engineering, ethical considerations, and best practices. This program will also expose you to tools that can help you expand your thinking and planning when it comes to incorporating generative AI in the classroom.
Machine Learning Engineer
Machine Learning Engineer
A Machine Learning Engineer designs, develops, and deploys machine learning models. Generative AI in Education can help you to develop a foundation in generative AI, including definitions, prompt engineering, ethical considerations, and best practices. This program will also expose you to tools that can help you expand your thinking and planning when it comes to incorporating generative AI in the classroom.
Cognitive Scientist
Cognitive Scientist
A Cognitive Scientist studies the human mind and how it works. Generative AI in Education can help you to develop a better understanding of how AI can be used to improve education. The program also offers insights into the student perspective, which will be valuable for Cognitive Scientists.
Data Scientist
Data Scientist
A Data Scientist uses data to solve complex problems. Generative AI in Education can help you to develop a better understanding of how AI can be used to solve problems. This program also offers insights into the ethical considerations of using AI, which will be valuable for Data Scientists.
Data Analyst
Data Analyst
A Data Analyst collects, analyzes, and interprets data. Generative AI in Education can help you to develop a better understanding of how AI can be used to analyze data. This program also offers insights into the ethical considerations of using AI, which will be valuable for Data Analysts.
Product Manager
Product Manager
A Product Manager manages the development and launch of products. Generative AI in Education can help you to develop a better understanding of how AI can be used to develop products. This program also offers insights into the ethical considerations of using AI, which will be valuable for Product Managers.
AI Architect
AI Architect
An AI Architect designs and builds the infrastructure and systems to support AI applications. Generative AI in Education can help you build a foundation in the use of AI in the educational setting. This program offers a comprehensive grasp of generative AI basics, including definitions, prompt engineering, ethical considerations, and best practices.
For more career information including salaries, visit:
OpenCourser.com/course/ot41wn/generative
Featured in The Course Notes
This course is mentioned in our blog,
The Course Notes. Read
one article that features
Generative AI in Education:
To read more articles from OpenCourser, visit:
OpenCourser.com/notes
Reading list
We've selected seven 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 in Education.
Save
Provides a comprehensive overview of generative AI for the natural sciences, covering the basics of generative AI, different types of generative models, and applications of generative AI in the natural sciences.
Provides a comprehensive overview of generative AI for the arts, covering the basics of generative AI, different types of generative models, and applications of generative AI in the arts.
Provides a practical guide to using machine learning in Python. It good starting point for students who want to learn more about the technical aspects of generative AI.
Provides a practical guide to using deep learning in coding. It good starting point for students who want to learn more about the technical aspects of generative AI.
Provides an overview of the philosophy of education, including the different theories of learning and teaching. It would be a valuable resource for students who want to learn more about the theoretical foundations of education.
Explores the challenges that businesses face when they try to innovate. It provides insights into the potential risks and rewards of using generative AI in education.
Explores the impact of the Fourth Industrial Revolution on education. It includes a chapter on the potential of generative AI to transform education.
For more information about how these books relate to this course, visit:
OpenCourser.com/course/ot41wn/generative
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Effort
4 weeks of study, 1 hour/week
Level
Introductory
Via
Coursera
Institution
University of Glasgow
Instructor
Gabriella Rodolico
Language
English
Transcripts
Español
Français
Português
Deutsch
Italiano
中文
العربية
한국어
日本語
हिंदी
Nederlands
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Good to know
Introduces fundamental principles, concepts, vocabulary, and best practices in generative AI
Facilitates discussions and hands-on experimentation, fostering active engagement and knowledge sharing
Emphasizes ethical considerations and their implications in educational settings, promoting responsible use of generative AI
Provides opportunities to refine skills through the exploration of generative AI tools and applications
Suitable for educators and individuals seeking a comprehensive understanding of generative AI, its capabilities, and its potential in education
Involves activities designed to encourage critical thinking and thoughtful analysis of generative AI's impact on education
Featured in The Course Notes
Read
one article that features
this course,
Generative AI in Education
from our blog, The Course Notes:
To read more articles from OpenCourser, visit:
OpenCourser.com/notes
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