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Read about what's good
what should give you pause
and possible dealbreakers
Taught by University of Michigan experts
Offers a unique perspective on how generative AI tools can be utilized and regulated in society
Explores the ethical and legal implications of using generative AI
Provides practical guidance on how learners can utilize generative AI in their lives
Tailored for individuals interested in understanding and using generative AI tools, such as ChatGPT

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Reviews summary

Comprehensive generative ai overview and ethics

According to learners, this course offers a timely and relevant overview of Generative AI, particularly highlighting its ethical implications and societal impact. Students consistently praise its accessible approach, making complex topics understandable for non-technical individuals and beginners. The multi-disciplinary expert perspectives are a significant strength. While providing a solid foundation, some learners found it too introductory and wished for more technical depth or hands-on activities. It is widely regarded as an excellent starting point for understanding the broader landscape of AI.
Diverse expert perspectives enrich the learning experience.
"The multi-disciplinary approach with experts from various fields was truly valuable."
"Multidisciplinary expert perspectives added significant value."
"I appreciated the insights from various university experts, which added a rich dimension to the course."
Covers a rapidly evolving and current topic effectively.
"This 'Teach-Out' was incredibly timely and relevant."
"The content feels very current, which is crucial given how fast AI is evolving."
"It's essential in today's rapidly evolving AI landscape."
Clearly explains complex AI concepts for all learners.
"The content is well-structured and easy to follow, even for someone with minimal technical background."
"The instructors are clear and articulate, making complex topics accessible."
"I loved this course! It perfectly explains Generative AI for non-technical people."
"It demystifies the subject without getting bogged down in jargon."
Excellent deep dive into AI's broader implications.
"It provides a fantastic overview of what Generative AI is, how it works at a high level, and crucially, delves into the ethical considerations and societal impacts."
"I found the discussions on legal and ethical implications particularly insightful."
"The discussions on ethical AI and future regulation were thought-provoking and essential in today's rapidly evolving AI landscape."
"The modules on ethical use were particularly eye-opening. I feel much more informed now about the discussions happening around AI."
Provides a strong overview but lacks technical depth.
"It's not a technical deep dive, but perfect for professionals seeking to understand the landscape."
"I wished for slightly more depth on specific tools or perhaps a small hands-on component..."
"For someone already somewhat familiar with AI concepts, it felt a bit too introductory."
"I was looking for more technical depth and practical application, and this course didn't quite meet that expectation."

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 Teach-Out with these activities:
Practice natural language processing
Reinforce your foundational knowledge of natural language processing. This will help you better understand the advanced concepts discussed in this course.
Show steps
  • Review the fundamentals of NLP, including tokenization, stemming, and lemmatization.
  • Practice using NLP libraries, such as NLTK or spaCy, to perform text analysis tasks.
  • Complete online tutorials or courses on NLP.
Build a chatbot using generative AI
Apply your knowledge of generative AI to create a chatbot. This will help you understand how these models work and how to use them practically.
Browse courses on Chatbots
Show steps
  • Choose a specific domain or purpose for your chatbot.
  • Select an appropriate generative AI model and train it on relevant data.
  • Design the user interface and conversational flow for your chatbot.
  • Deploy and test your chatbot.
Write a blog post about the ethical implications of generative AI
Explore the ethical implications of generative AI and share your insights with others. This will deepen your understanding of the potential risks and benefits associated with these technologies.
Browse courses on Generative AI
Show steps
  • Research the ethical issues surrounding generative AI, such as bias, privacy, and job displacement.
  • Develop your own perspective on these issues and formulate an argument.
  • Write a well-structured blog post that presents your research and arguments clearly.
Show all three activities

Career center

Learners who complete Generative AI Teach-Out will develop knowledge and skills that may be useful to these careers:
Data Scientist
Data Scientists are responsible for gathering, analyzing, and interpreting large amounts of data. They use their skills in machine learning, statistics, and programming to develop models that can make predictions about future events. The Generative AI Teach-Out can help Data Scientists learn about the latest advances in generative AI and how to use these tools to improve their models. This course may be particularly useful for Data Scientists who are working on projects that involve natural language processing, image generation, or other types of creative content.
Machine Learning Engineer
Machine Learning Engineers are responsible for designing, building, and deploying machine learning models. They work closely with Data Scientists to develop models that meet the specific needs of their organization. The Generative AI Teach-Out can help Machine Learning Engineers learn about the latest advances in generative AI and how to use these tools to improve their models. This course may be particularly useful for Machine Learning Engineers who are working on projects that involve natural language processing, image generation, or other types of creative content.
Software Engineer
Software Engineers are responsible for designing, developing, and maintaining software applications. They work with a variety of programming languages and technologies to create software that meets the needs of their users. The Generative AI Teach-Out can help Software Engineers learn about the latest advances in generative AI and how to use these tools to improve their software. This course may be particularly useful for Software Engineers who are working on projects that involve natural language processing, image generation, or other types of creative content.
Data Analyst
Data Analysts are responsible for collecting, cleaning, and analyzing data to identify trends and patterns. They use their skills in statistics, programming, and data visualization to communicate their findings to stakeholders. The Generative AI Teach-Out can help Data Analysts learn about the latest advances in generative AI and how to use these tools to improve their analyses. This course may be particularly useful for Data Analysts who are working on projects that involve natural language processing, image generation, or other types of creative content.
Product Manager
Product Managers are responsible for defining the vision and roadmap for a product. They work with a variety of stakeholders to ensure that the product meets the needs of its users. The Generative AI Teach-Out can help Product Managers learn about the latest advances in generative AI and how to use these tools to improve their products. This course may be particularly useful for Product Managers who are working on products that involve natural language processing, image generation, or other types of creative content.
UX Designer
UX Designers are responsible for designing the user experience for products and services. They work with a variety of stakeholders to ensure that the user experience is intuitive and enjoyable. The Generative AI Teach-Out can help UX Designers learn about the latest advances in generative AI and how to use these tools to improve the user experience of their products and services. This course may be particularly useful for UX Designers who are working on projects that involve natural language processing, image generation, or other types of creative content.
Content Writer
Content Writers are responsible for creating written content for a variety of purposes, including marketing, advertising, and journalism. They use their skills in writing, grammar, and storytelling to create content that is engaging and informative. The Generative AI Teach-Out can help Content Writers learn about the latest advances in generative AI and how to use these tools to improve their writing. This course may be particularly useful for Content Writers who are working on projects that involve natural language processing, image generation, or other types of creative content.
Digital Marketer
Digital Marketers are responsible for planning and executing marketing campaigns across a variety of digital channels. They use their skills in marketing, advertising, and data analysis to reach their target audience and achieve their marketing goals. The Generative AI Teach-Out can help Digital Marketers learn about the latest advances in generative AI and how to use these tools to improve their marketing campaigns. This course may be particularly useful for Digital Marketers who are working on projects that involve natural language processing, image generation, or other types of creative content.
Technical Writer
Technical Writers are responsible for creating technical documentation, such as user manuals, white papers, and training materials. They use their skills in writing, grammar, and subject-matter expertise to create documentation that is clear and concise. The Generative AI Teach-Out can help Technical Writers learn about the latest advances in generative AI and how to use these tools to improve their documentation. This course may be particularly useful for Technical Writers who are working on projects that involve natural language processing, image generation, or other types of creative content.
AI Researcher
AI Researchers are responsible for developing new AI algorithms and techniques. They work with a variety of machine learning, statistics, and computer science techniques to create AI systems that can solve complex problems. The Generative AI Teach-Out can help AI Researchers learn about the latest advances in generative AI and how to use these tools to improve their research. This course may be particularly useful for AI Researchers who are working on projects that involve natural language processing, image generation, or other types of creative content.
AI Engineer
AI Engineers are responsible for designing, building, and deploying AI systems. They work with a variety of machine learning, statistics, and computer science techniques to create AI systems that can solve complex problems. The Generative AI Teach-Out can help AI Engineers learn about the latest advances in generative AI and how to use these tools to improve their AI systems. This course may be particularly useful for AI Engineers who are working on projects that involve natural language processing, image generation, or other types of creative content.
Data Engineer
Data Engineers are responsible for designing, building, and maintaining data pipelines. They work with a variety of data engineering tools and techniques to ensure that data is available to data scientists and other users in a timely and reliable manner. The Generative AI Teach-Out can help Data Engineers learn about the latest advances in generative AI and how to use these tools to improve their data pipelines. This course may be particularly useful for Data Engineers who are working on projects that involve natural language processing, image generation, or other types of creative content.
Natural Language Processing Engineer
Natural Language Processing Engineers are responsible for designing, building, and deploying natural language processing systems. They work with a variety of natural language processing techniques to create systems that can understand and generate human language. The Generative AI Teach-Out can help Natural Language Processing Engineers learn about the latest advances in generative AI and how to use these tools to improve their systems. This course may be particularly useful for Natural Language Processing Engineers who are working on projects that involve natural language processing, image generation, or other types of creative content.
Image Processing Engineer
Image Processing Engineers are responsible for designing, building, and deploying image processing systems. They work with a variety of image processing techniques to create systems that can analyze and generate images. The Generative AI Teach-Out can help Image Processing Engineers learn about the latest advances in generative AI and how to use these tools to improve their systems. This course may be particularly useful for Image Processing Engineers who are working on projects that involve natural language processing, image generation, or other types of creative content.
Robotics Engineer
Robotics Engineers are responsible for designing, building, and deploying robots. They work with a variety of robotics techniques to create robots that can perform a variety of tasks. The Generative AI Teach-Out can help Robotics Engineers learn about the latest advances in generative AI and how to use these tools to improve their robots. This course may be particularly useful for Robotics Engineers who are working on projects that involve natural language processing, image generation, or other types of creative content.

Featured in The Course Notes

This course is mentioned in our blog, The Course Notes. Read one article that features Generative AI Teach-Out:

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 Generative AI Teach-Out.
A comprehensive guide to deep learning. It covers topics such as neural networks, convolutional neural networks, and recurrent neural networks.
A practical guide to using AI to gain a competitive advantage in business. It covers topics such as AI strategy, data management, and model deployment.
A comprehensive look at the impact of AI on the workplace. It covers topics such as automation, job displacement, and the creation of new jobs.
A comprehensive guide to computer vision. It covers topics such as image processing, object detection, and video analysis.
A philosophical exploration of the ethical implications of AI. It covers topics such as autonomy, responsibility, and consciousness.
A speculative exploration of the future of humanity in light of AI. It covers topics such as the singularity, transhumanism, and the existential risks of AI.

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