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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

Gen AI Playground
Through this live 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.

Good to know

Know what's good
, what to watch for
, 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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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
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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
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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
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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
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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
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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
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  • 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

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