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Dr. Jules White
We see lots of news reports of Generative AI tools, such as ChatGPT, making mistakes and producing inaccurate information. Many of these mistakes happen because humans use the tools in the wrong way - trying to solve unsuitable problems and not thinking about risk. Hallucination isn't a bug, it's a feature when you approach problems correctly. This course teaches techniques for determining if a problem fits Generative AI's capabilities, framing problems to reduce risk, prompt engineering for trust, and appropriate human engagement in the process. Students learn concrete prompt designs, how to check outputs, how to use Generative AI for ideation and creation, ways to augment human skills, and more ethical, beneficial applications.
Read more
We see lots of news reports of Generative AI tools, such as ChatGPT, making mistakes and producing inaccurate information. Many of these mistakes happen because humans use the tools in the wrong way - trying to solve unsuitable problems and not thinking about risk. Hallucination isn't a bug, it's a feature when you approach problems correctly. This course teaches techniques for determining if a problem fits Generative AI's capabilities, framing problems to reduce risk, prompt engineering for trust, and appropriate human engagement in the process. Students learn concrete prompt designs, how to check outputs, how to use Generative AI for ideation and creation, ways to augment human skills, and more ethical, beneficial applications.
Read more
We see lots of news reports of Generative AI tools, such as ChatGPT, making mistakes and producing inaccurate information. Many of these mistakes happen because humans use the tools in the wrong way - trying to solve unsuitable problems and not thinking about risk. Hallucination isn't a bug, it's a feature when you approach problems correctly. This course teaches techniques for determining if a problem fits Generative AI's capabilities, framing problems to reduce risk, prompt engineering for trust, and appropriate human engagement in the process. Students learn concrete prompt designs, how to check outputs, how to use Generative AI for ideation and creation, ways to augment human skills, and more ethical, beneficial applications.
The course will show how you can:
- Leverage prompt engineering techniques to generate more reliable outputs
- Master methods to verify and validate outputs
- Frame problems in alternative ways to reduce risk
- Apply generative AI for creative ideation
- Use Generative AI in ways that augment rather than replace human reasoning and creativity
Register for this course and see more details by visiting:
OpenCourser.com/course/amhiqa/trustworthy
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What's inside
Syllabus
Trustworthy Generative AI
Good to know
Good to know
Know what's good ,
what to watch for , and
possible dealbreakers
Explores the topic of Generative AI, which is an emerging and rapidly developing field
Examines the limitations and risks associated with Generative AI and provides strategies for mitigating these issues
Provides hands-on experience with Generative AI tools and techniques
Applicable to a wide range of fields and industries where Generative AI can be leveraged
Instructors are experts in the field of Generative AI and have extensive experience in developing and applying these technologies
Save this course
Save Trustworthy 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 Trustworthy Generative AI with these
activities:
Review different types of Generative AI
Show steps
Reviewing different types of Generative AI can help establish a foundation for the different types available and their potential use cases.
Browse courses on
Generative AI
Show steps
-
Gather resources on Generative AI
-
Read articles and watch videos to learn about Generative AI
-
Summarize your findings
Review basic probability and statistics concepts
Show steps
Refreshing these concepts will strengthen the foundation for understanding machine learning algorithms.
Browse courses on
Probability
Show steps
-
Review notes from previous courses or textbooks.
-
Solve practice problems to test understanding.
-
Read articles or watch videos on the topics.
Learn Prompt Engineering with Hugging Face's Course
Show steps
Develop foundational skills in prompt engineering to optimize Generative AI outputs.
Show steps
-
Enroll and complete the Hugging Face Prompt Engineering course
15 other activities
Expand to see all activities and additional details
Show all 18 activities
Read 'Teaching Machine Learning' by Foster Provost and Tom Fawcett
Show steps
This book provides a valuable foundation for understanding the principles of machine learning and building effective models.
View
Data Science for Business: What You Need to...
on Amazon
Show steps
-
Read the first three chapters.
-
Complete the exercises in Chapter 3.
-
Summarize the key takeaways from the book.
Complete the 'Coursera Machine Learning Specialization'
Show steps
This specialization provides in-depth coverage of various machine learning techniques, algorithms, and applications.
Show steps
-
Enroll in the specialization.
-
Complete the first module.
-
Practice the coding exercises.
-
Participate in the discussion forums.
Solve practice problems on LeetCode
Show steps
Solving coding problems improves programming skills, strengthens problem-solving abilities, and enhances confidence.
Show steps
-
Register on LeetCode.
-
Choose a difficulty level and start solving problems.
-
Review the solutions of solved problems.
-
Participate in discussions and ask for help when needed.
Participate in a study group or peer session
Show steps
Participating in a study group or peer session can provide opportunities to discuss the course material, share ideas, and learn from others' experiences with Generative AI.
Show steps
-
Find a study group or peer session
-
Prepare for the session by reviewing the course material
-
Actively participate in the discussion
-
Share your own ideas and experiences with Generative AI
Form a study group with classmates
Show steps
Collaborating with peers can enhance understanding, facilitate knowledge sharing, and improve retention.
Show steps
-
Identify a few classmates to form a group.
-
Set regular meeting times.
-
Review lecture notes and discuss concepts.
-
Work on problem sets together.
Practice Prompting with ChatGPT
Show steps
Gain proficiency in crafting effective prompts through hands-on practice with ChatGPT.
Show steps
-
Generate prompts for various tasks, such as story writing, code generation, and email composition
Follow tutorials on using Generative AI in your field
Show steps
Following tutorials on using Generative AI in your field can provide examples of real world applications which can supplement the ideas shared in the course.
Browse courses on
Generative AI Applications
Show steps
-
Identify tutorials relevant to your field
-
Follow the tutorials step-by-step
-
Apply your learnings to generate content in your field
Write a blog post summarizing key machine learning concepts
Show steps
Summarizing concepts in a blog post reinforces understanding and improves communication skills.
Show steps
-
Choose a topic to focus on.
-
Research the topic thoroughly.
-
Write a clear and concise blog post.
-
Proofread and edit the post.
-
Share the post on social media or a personal blog.
Practice applying Generative AI to solve specific problems
Show steps
Practicing applying Generative AI to solve specific problems will help develop your skills and confidence in using Generative AI effectively.
Show steps
-
Identify a problem that can be solved using Generative AI
-
Choose a Generative AI tool and apply it to the problem
-
Evaluate the results and iterate if necessary
Build a machine learning model to predict customer churn
Show steps
This project allows you to apply the concepts learned in the course to a real-world problem and develop practical skills.
Show steps
-
Define the problem statement.
-
Collect and clean the data.
-
Choose and train a machine learning model.
-
Evaluate the model's performance.
-
Write a report summarizing the project.
Attend a Workshop on Generative AI for Content Creation
Show steps
Enhance your understanding of generative AI's capabilities for content generation and practical implementation.
Browse courses on
Content Creation
Show steps
-
Identify and register for a relevant workshop
-
Actively participate in the workshop activities and discussions
Attend a machine learning workshop or conference
Show steps
Attending workshops and conferences exposes you to new ideas, industry trends, and cutting-edge research.
Show steps
-
Research upcoming events and choose one to attend.
-
Register for the event.
-
Attend the sessions and take notes.
-
Connect with other attendees and speakers.
-
Follow up with the organizers or speakers after the event.
Generate original content using different Generative AI tools
Show steps
Generating original content using different Generative AI tools will enable you to test the capabilities of various generative AI models and understand their functionalities.
Show steps
-
Choose a Generative AI tool
-
Experiment with the tool's features
-
Create original content (e.g., text, images, or code)
-
Evaluate the quality and accuracy of the generated content
Develop an AI-Generated Art Project
Show steps
Deepen your understanding of Generative AI's artistic potential by creating your own AI-generated art project.
Browse courses on
AI Art
Show steps
-
Define your project's concept and objectives
-
Experiment with different AI art tools and techniques
-
Create and refine your AI-generated artwork
Participate in a Generative AI hackathon or competition
Show steps
Participating in a Generative AI hackathon or competition can be a valuable experience to apply your skills, receive feedback, and potentially win prizes while demonstrating your knowledge of Generative AI.
Show steps
-
Find a relevant Generative AI hackathon or competition
-
Form a team (optional)
-
Develop a solution or project using Generative AI
-
Submit your solution or project
Review different types of Generative AI
Show steps
Reviewing different types of Generative AI can help establish a foundation for the different types available and their potential use cases.
Browse courses on
Generative AI
Show steps
Show steps
Show steps
- Gather resources on Generative AI
- Read articles and watch videos to learn about Generative AI
- Summarize your findings
Review basic probability and statistics concepts
Show steps
Refreshing these concepts will strengthen the foundation for understanding machine learning algorithms.
Browse courses on
Probability
Show steps
Show steps
Show steps
- Review notes from previous courses or textbooks.
- Solve practice problems to test understanding.
- Read articles or watch videos on the topics.
Learn Prompt Engineering with Hugging Face's Course
Show steps
Develop foundational skills in prompt engineering to optimize Generative AI outputs.
Show steps
Show steps
Show steps
- Enroll and complete the Hugging Face Prompt Engineering course
15 other activities
Expand to see all activities and additional details
Show all 18 activities
Read 'Teaching Machine Learning' by Foster Provost and Tom Fawcett
Show steps
This book provides a valuable foundation for understanding the principles of machine learning and building effective models.
View
Data Science for Business: What You Need to...
on Amazon
Show steps
Show steps
Show steps
- Read the first three chapters.
- Complete the exercises in Chapter 3.
- Summarize the key takeaways from the book.
Complete the 'Coursera Machine Learning Specialization'
Show steps
This specialization provides in-depth coverage of various machine learning techniques, algorithms, and applications.
Show steps
Show steps
Show steps
- Enroll in the specialization.
- Complete the first module.
- Practice the coding exercises.
- Participate in the discussion forums.
Solve practice problems on LeetCode
Show steps
Solving coding problems improves programming skills, strengthens problem-solving abilities, and enhances confidence.
Show steps
Show steps
Show steps
- Register on LeetCode.
- Choose a difficulty level and start solving problems.
- Review the solutions of solved problems.
- Participate in discussions and ask for help when needed.
Participate in a study group or peer session
Show steps
Participating in a study group or peer session can provide opportunities to discuss the course material, share ideas, and learn from others' experiences with Generative AI.
Show steps
Show steps
Show steps
- Find a study group or peer session
- Prepare for the session by reviewing the course material
- Actively participate in the discussion
- Share your own ideas and experiences with Generative AI
Form a study group with classmates
Show steps
Collaborating with peers can enhance understanding, facilitate knowledge sharing, and improve retention.
Show steps
Show steps
Show steps
- Identify a few classmates to form a group.
- Set regular meeting times.
- Review lecture notes and discuss concepts.
- Work on problem sets together.
Practice Prompting with ChatGPT
Show steps
Gain proficiency in crafting effective prompts through hands-on practice with ChatGPT.
Show steps
Show steps
Show steps
- Generate prompts for various tasks, such as story writing, code generation, and email composition
Follow tutorials on using Generative AI in your field
Show steps
Following tutorials on using Generative AI in your field can provide examples of real world applications which can supplement the ideas shared in the course.
Browse courses on
Generative AI Applications
Show steps
Show steps
Show steps
- Identify tutorials relevant to your field
- Follow the tutorials step-by-step
- Apply your learnings to generate content in your field
Write a blog post summarizing key machine learning concepts
Show steps
Summarizing concepts in a blog post reinforces understanding and improves communication skills.
Show steps
Show steps
Show steps
- Choose a topic to focus on.
- Research the topic thoroughly.
- Write a clear and concise blog post.
- Proofread and edit the post.
- Share the post on social media or a personal blog.
Practice applying Generative AI to solve specific problems
Show steps
Practicing applying Generative AI to solve specific problems will help develop your skills and confidence in using Generative AI effectively.
Show steps
Show steps
Show steps
- Identify a problem that can be solved using Generative AI
- Choose a Generative AI tool and apply it to the problem
- Evaluate the results and iterate if necessary
Build a machine learning model to predict customer churn
Show steps
This project allows you to apply the concepts learned in the course to a real-world problem and develop practical skills.
Show steps
Show steps
Show steps
- Define the problem statement.
- Collect and clean the data.
- Choose and train a machine learning model.
- Evaluate the model's performance.
- Write a report summarizing the project.
Attend a Workshop on Generative AI for Content Creation
Show steps
Enhance your understanding of generative AI's capabilities for content generation and practical implementation.
Browse courses on
Content Creation
Show steps
Show steps
Show steps
- Identify and register for a relevant workshop
- Actively participate in the workshop activities and discussions
Attend a machine learning workshop or conference
Show steps
Attending workshops and conferences exposes you to new ideas, industry trends, and cutting-edge research.
Show steps
Show steps
Show steps
- Research upcoming events and choose one to attend.
- Register for the event.
- Attend the sessions and take notes.
- Connect with other attendees and speakers.
- Follow up with the organizers or speakers after the event.
Generate original content using different Generative AI tools
Show steps
Generating original content using different Generative AI tools will enable you to test the capabilities of various generative AI models and understand their functionalities.
Show steps
Show steps
Show steps
- Choose a Generative AI tool
- Experiment with the tool's features
- Create original content (e.g., text, images, or code)
- Evaluate the quality and accuracy of the generated content
Develop an AI-Generated Art Project
Show steps
Deepen your understanding of Generative AI's artistic potential by creating your own AI-generated art project.
Browse courses on
AI Art
Show steps
Show steps
Show steps
- Define your project's concept and objectives
- Experiment with different AI art tools and techniques
- Create and refine your AI-generated artwork
Participate in a Generative AI hackathon or competition
Show steps
Participating in a Generative AI hackathon or competition can be a valuable experience to apply your skills, receive feedback, and potentially win prizes while demonstrating your knowledge of Generative AI.
Show steps
Show steps
Show steps
- Find a relevant Generative AI hackathon or competition
- Form a team (optional)
- Develop a solution or project using Generative AI
- Submit your solution or project
Career center
Learners who complete Trustworthy Generative AI will develop knowledge and skills
that may be useful to these careers:
Natural Language Processing Engineer
Natural Language Processing Engineer
Natural Language Processing Engineers develop algorithms and software that allow computers to understand and generate human language. This course can help you develop the skills needed to use Generative AI to create chatbots, language translation systems, and other natural language processing applications.
Machine Learning Engineer
Machine Learning Engineer
Machine Learning Engineers design, develop, and deploy machine learning models. This course can help build a foundation in prompt engineering, which is essential for fine-tuning models and ensuring their outputs are reliable.
Computer Vision Engineer
Computer Vision Engineer
Computer Vision Engineers develop algorithms and software that allow computers to interpret images and videos. This course can help you develop the skills needed to use Generative AI to create realistic images and videos.
Software Engineer
Software Engineer
Software Engineers design, develop, and test software applications. This course can help you develop the skills needed to integrate Generative AI into software applications and ensure their outputs are reliable.
Quantitative Analyst
Quantitative Analyst
Quantitative Analysts use mathematical and statistical models to analyze financial data. This course can provide valuable insights into how to use Generative AI to identify trends and make predictions.
Technical Writer
Technical Writer
Technical Writers create documentation for software, hardware, and other technical products. This course can help you develop the skills needed to use Generative AI to create clear and concise technical documentation.
Research Scientist
Research Scientist
Research Scientists conduct original research in a variety of fields, including artificial intelligence. This course may be useful in helping you develop the skills needed to evaluate the reliability of AI-generated research findings.
Product Manager
Product Manager
Product Managers are responsible for the development and launch of new products. This course can help you understand the potential benefits and risks of using Generative AI in product development and marketing.
User Experience Designer
User Experience Designer
User Experience Designers create user interfaces for websites, apps, and other digital products. This course can help you understand the potential benefits and risks of using Generative AI to create user interfaces that are both effective and engaging.
Instructional Designer
Instructional Designer
Instructional Designers create and deliver training materials. This course may be useful in helping you develop the skills needed to use Generative AI to create engaging and effective training materials.
Social Media Manager
Social Media Manager
Social Media Managers create and manage social media content. This course may be useful in helping you develop the skills needed to use Generative AI to create engaging social media content that reaches your target audience.
Content Strategist
Content Strategist
Content Strategists develop and execute content marketing campaigns. This course may be useful in helping you develop the skills needed to use Generative AI to create high-quality content that engages your target audience.
Digital Marketing Manager
Digital Marketing Manager
Digital Marketing Managers plan and execute marketing campaigns across a variety of digital channels. This course can help you understand the potential benefits and risks of using Generative AI in digital marketing campaigns.
Community Manager
Community Manager
Community Managers build and manage online communities. This course may be useful in helping you develop the skills needed to use Generative AI to create and engage with online communities.
Data Scientist
Data Scientist
Data Scientists combine programming and analytical skills to extract meaningful insights from data. This course may be useful in helping you develop the skills needed to build and validate machine learning models and other AI-powered systems.
For more career information including salaries, visit:
OpenCourser.com/course/amhiqa/trustworthy
Reading list
We've selected nine 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
Trustworthy Generative AI.
Explores the ethical implications of AI and provides a framework for designing and deploying AI systems that are fair, transparent, and accountable.
Provides a comprehensive introduction to deep learning for natural language processing, covering topics such as text classification, machine translation, and question answering.
Provides a comprehensive overview of statistical learning methods, including supervised and unsupervised learning, as well as model selection and evaluation.
Provides a broad introduction to machine learning methods, including generative models and Bayesian approaches.
Save
Provides a speculative look at the potential future of humanity in light of technological advancements, including AI.
Save
Explores the potential risks and benefits of superintelligence, a hypothetical form of AI that surpasses human intelligence.
Save
Explores the potential impact of AI on human society and the nature of consciousness.
Argues that AI will eventually lead to a technological singularity, a point in time when AI surpasses human intelligence and brings about a radical transformation of human society.
Save
Explores the potential risks of AI and argues that we need to take steps to prevent AI from becoming a threat to humanity.
For more information about how these books relate to this course, visit:
OpenCourser.com/course/amhiqa/trustworthy
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Effort
2-3hrs
Level
Introductory
Via
Coursera
Institution
Vanderbilt University
Instructor
Dr. Jules White
Language
English
Transcripts
Español
Français
Português
Deutsch
Italiano
中文
العربية
한국어
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آذربایجان دیلی
This course belongs to a
collection
called
Prompt Engineering. It's comprised of three courses:
- ChatGPT Advanced Data Analysis
- Trustworthy Generative AI (viewing)
- Prompt Engineering for ChatGPT
Good to know
Explores the topic of Generative AI, which is an emerging and rapidly developing field
Examines the limitations and risks associated with Generative AI and provides strategies for mitigating these issues
Provides hands-on experience with Generative AI tools and techniques
Applicable to a wide range of fields and industries where Generative AI can be leveraged
Instructors are experts in the field of Generative AI and have extensive experience in developing and applying these technologies
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