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Jeff Maggioncalda, Coursera CEO

Note: this lab is intended to be a live workshop, and not to be taken as a standalone course

Through this workshop, you will go hands-on with Generative AI to sharpen your current role description and anticipate how your role may change in the future. Anticipating how your role may change will help enable you to prepare for the future of work.

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What's inside

Syllabus

Traffic lights

Read about what's good
what should give you pause
and possible dealbreakers
Emphasizes the importance of anticipating future role changes due to AI
Provides hands-on experience with Generative AI for practical application
Designed for a live workshop format, encouraging active participation
Limited to a single workshop, may not provide comprehensive coverage

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Reviews summary

Ai for future career adaptability

According to learners, the Future Role Workshop Lab is a highly practical and insightful experience, focusing on Generative AI's impact on professional roles. Students particularly value the hands-on experience and its direct relevance to redefining job descriptions and future-proofing skills. The engaging live format and superb facilitators are frequently highlighted. While it excels at sparking ideas and providing a strong starting point, some learners note it is a fast-paced session and not a deep dive into specific AI models, which might leave those seeking extensive technical depth wanting more. It's widely considered a valuable workshop experience for career foresight, though it’s not a standalone comprehensive course.
A fast-paced overview, not a deep dive; managing expectations is key.
"While it's great for understanding the *concept*, it's important to remember it's a workshop, so it doesn't go deep into specific AI models."
"The idea behind the workshop is excellent, but it felt a bit rushed. I think more time was needed for the practical exercises."
"Useful for a quick dive into AI's impact on roles... just be aware that it's designed to be a starting point, not a deep dive."
"No real depth, and the 'live' aspect didn't add much value. Expected more from a workshop on such a critical topic."
Instructors and the live workshop format are engaging and effective.
"The instructor was engaging and the flow of the session was perfect. Highly recommend for any professional."
"The live format was engaging. I appreciated the specific prompts and examples."
"The facilitator was superb, guiding us through complex ideas with ease."
Directly addresses evolving job roles and future-proofing skills with AI.
"It really made me think about how my role will evolve and gave me practical tools to prepare."
"The focus on using AI to redefine job descriptions and anticipate future skills is exactly what I needed."
"A solid session for understanding the evolving landscape... a good way to frame my thinking about career adaptation."
Offers valuable hands-on experience applying AI to career roles.
"Absolutely fantastic workshop! The hands-on experience with Generative AI was invaluable."
"The focus on using AI to redefine job descriptions and anticipate future skills is exactly what I needed. It was a fast-paced but highly effective session."
"I walked away with concrete strategies for leveraging AI in my domain. This is truly how upskilling should be done."
Some learners felt prior AI knowledge was implicitly assumed.
"The hands-on part was too short and assumed everyone had the same base knowledge."
"I think the pre-requisites could have been clearer, as some attendees struggled with the AI concepts."

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 Future Role Workshop Lab with these activities:
Review foundational concepts in machine learning
Refreshes foundational knowledge in machine learning, which is essential for understanding generative AI
Browse courses on Machine Learning
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  • Review textbooks or online resources on machine learning fundamentals
  • Practice solving machine learning problems
Review python basics
Refreshes basic python knowledge for students to prepare for the course
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  • Review the official python documentation
  • Complete coding challenges on leetcode
  • Review basic python syntax and data structures
Join a study group or online community
Engaging with peers helps reinforce concepts and provides diverse perspectives
Browse courses on Generative AI
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  • Find relevant online communities or forums
  • Introduce yourself and ask questions
  • Participate in discussions and share your knowledge
Five other activities
Expand to see all activities and additional details
Show all eight activities
Follow tutorials on using generative AI
Generative AI is a new and rapidly developing field, following tutorials provides a helpful foundation in this course
Browse courses on Generative AI
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  • Find reputable tutorials on online code learning platforms
  • Follow the tutorials step-by-step and practice the exercises provided
  • Experiment with different generative AI models
Write a blog post or article on generative AI
Reinforces understanding through writing and helps students summarize and explain key concepts
Browse courses on Generative AI
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  • Choose a specific topic related to generative AI
  • Research and gather information from reliable sources
  • Write a well-structured and informative blog post or article
Create a personal project using generative AI
Develops practical skills in using generative AI and allows for focused application of course concepts
Browse courses on Generative AI
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  • Identify a specific problem or task that generative AI can solve
  • Research and select an appropriate generative AI model
  • Build and train the generative AI model
  • Test and evaluate the performance of the generative AI model
Contribute to open-source generative AI projects
Provides practical experience and exposes students to real-world generative AI applications
Browse courses on Generative AI
Show steps
  • Identify reputable open-source generative AI projects
  • Review the project documentation and codebase
  • Make meaningful contributions to the project
Develop a presentation on generative AI for a specific audience
Develops communication skills and forces students to synthesize their understanding of generative AI
Browse courses on Generative AI
Show steps
  • Identify the target audience and presentation goals
  • Research and gather relevant information
  • Create a clear and engaging presentation
  • Practice and deliver the presentation effectively

Career center

Learners who complete Future Role Workshop Lab will develop knowledge and skills that may be useful to these careers:

Reading list

We've selected 25 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 Future Role Workshop Lab.
This recent book directly addresses the contemporary topic of remote and hybrid work models, examining the challenges and opportunities they present for both employees and employers. It provides practical insights and analysis on a highly relevant aspect of the future of work.
Reframes AI as a 'prediction machine,' explaining its economic implications in a clear and accessible way. It's excellent for deepening the understanding of AI's impact on business strategy and decision-making, which is crucial for comprehending the future of work in an AI-driven world.
Provides a practical guide to using generative AI, covering the different techniques and tools available. It is written by two leading experts in the field, Josh Patterson and Adam Gibson.
Provides a deep historical analysis of the relationship between technology and work, offering valuable context for understanding the current wave of automation. It's excellent for those seeking a more academic and in-depth understanding of the long-term trends shaping the future of work.
This seminal work examines how companies are profiting from the pervasive collection and use of personal data, a phenomenon with significant implications for the nature of work, privacy, and power dynamics in the digital age. It provides a critical perspective on the technological future.
A concise precursor to 'The Second Machine Age,' this book offers a quick yet insightful overview of the initial impacts of technological acceleration on employment and inequality. It's valuable for gaining a broad understanding and serves as good prerequisite reading before diving into more detailed analyses.
Drawing lessons from the military, this book presents a new model for organizational structure and leadership in a complex and rapidly changing world. It's highly relevant for understanding how teams and organizations need to adapt for the future of work.
Is considered a foundational text on how computer technology is reshaping the job market and the types of skills that are becoming more valuable. It provides essential background for understanding the historical context of the future of work.
Based on research from Accenture, this book provides a framework for how businesses can integrate AI and human talent to create new forms of work and achieve greater innovation. It's a practical guide for professionals and organizations adapting to AI.
Explores the rapid convergence of various exponential technologies and their potential to disrupt industries and transform daily life, including work. It offers a forward-looking perspective on the scale and speed of change we can anticipate.
Offers a broad overview of how robots, AI, and automation are impacting the job market and society. It explores policy implications and potential societal responses, making it useful for a general understanding of the challenges and opportunities presented by the future of work.
Identifies twelve technological forces that will shape the next thirty years, many of which have direct implications for the future of work, such as AI, ubiquitous access, and new forms of interaction. It helps in understanding the broader technological landscape.
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Challenges the conventional wisdom of extreme specialization, arguing that a breadth of experience and interdisciplinary thinking is increasingly valuable in a complex world. It offers a relevant perspective on the skills needed for the future of work.
Explores new organizational paradigms beyond traditional hierarchical structures, offering insights into more agile, self-managing, and purpose-driven ways of working. It provides a deeper understanding of potential future organizational models.
Provides a business-oriented perspective on generative AI, discussing its potential impact on industries and how companies can use it to gain a competitive advantage. It is written by three leading experts in the field, Thomas Davenport, Rajeev Ronanki, and Nitin Mittal.
Provides a thought-provoking exploration of the future of generative AI, discussing its potential benefits and risks. It is written by Gary Marcus, a leading researcher in the field.
Written by Google's former head of HR, this book offers practical insights into building a high-performing culture and attracting talent. While not solely focused on the future, it provides valuable lessons from a leading tech company on managing and motivating a modern workforce.
Explores the relationship between generative AI and the creative process, discussing how generative AI can be used to enhance creativity. It is written by Margaret Boden, a leading researcher in the field.
Explores the potential applications of generative AI in healthcare, discussing how it could be used to improve patient care and accelerate drug discovery. It is written by Eric Topol, a leading researcher in the field.
Explores the philosophical implications of generative AI, discussing how it challenges our understanding of mind and consciousness. It is written by Daniel C. Dennett, a leading philosopher in the field.
Explores the potential applications of generative AI in climate change, discussing how it could be used to model climate change and develop solutions. It is written by Andrew Ng, a leading researcher in the field.
Explores the potential impact of generative AI on the law, discussing how it could be used to automate legal processes and improve access to justice. It is written by Ryan Abbott, a leading researcher in the field.
Explores the potential impact of generative AI on the economy, discussing how it could be used to create new jobs and improve productivity. It is written by two leading experts in the field, Erik Brynjolfsson and Andrew McAfee.
Explores the potential impact of generative AI on society, discussing how it could be used to solve social problems and improve quality of life. It is written by Kai-Fu Lee, a leading researcher in the field.

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