Generative AI Teach-Out from Coursera

This Teach-Out introduces learners to artificial intelligence (AI) and explains how large language models and generative AI tools, like ChatGPT, work. Explore the ethical use of artificial intelligence, the implications of authorship, and how these tools might be utilized and regulated moving forward. Generative AI has developed rapidly over the last year and there is growing demand for a variety of AI tools, such as chatbots and visual media generators. For instance, ChatGPT launched in November 2022 in an effort to enhance natural language processing tasks like translation, text summarization, and text generation. Within five days of release, ChatGPT crossed 1 million users. By the two-month mark, it surpassed 100 million users. Concerns regarding the ethical implications of generative AI’s usage are emerging, particularly in business and education. This Teach-Out brings together University of Michigan experts on communication technology, the economy, artificial intelligence, natural language processing, healthcare delivery, architecture, and law to discuss the impacts of generative AI now and into the future. This Teach-Out will answer: - What is generative AI and how does it work? - What are the benefits and drawbacks of using generative AI? - What are ethical and legal implications of using generative AI? - How have society, the economy, and education responded to generative AI? - How might generative AI be integrated into society moving forward? - How can learners utilize generative AI in their lives? All contents of this Teach-Out are licensed as CC BY-SA with the exception of the course image.

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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

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

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Reinforce your foundational knowledge of natural language processing. This will help you better understand the advanced concepts discussed in this course.

Browse courses on Natural Language Processing

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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

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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

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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

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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

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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.

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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.

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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.

See salaries and explore the career path for Machine Learning Engineer

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.

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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.

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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.

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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.

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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.

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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.

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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.

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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.

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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.

See salaries and explore the career path for AI Engineer

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.

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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.

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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.

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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.

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