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Jeff Maggioncalda, Coursera CEO
This is a lesson from the comprehensive program, Navigating Generative AI for Leaders.
Read more
This is a lesson from the comprehensive program, Navigating Generative AI for Leaders.
Read more
This is a lesson from the comprehensive program, Navigating Generative AI for Leaders.
In this lesson, you’ll learn how Coursera CEO, Jeff Maggioncalda, leverages generative AI models to be a more effective CEO. Jeff will discuss how he uses AI covering everything from his set up and model choices, through hands-on prompting examples.
He will introduce you to three prompting strategies: Basic Query mode, Context Enhanced mode and Thought Partner mode and provide examples of how he puts them to work in his day to day as Coursera’s CEO. Jeff will explain the methods and guide you through hands-on exercises leveraging Coursera’s Playground labs, a private sandbox where you can interact with a powerful large-language model (LLM), side-by-side with Jeff.
Jeff will also walk you through an exercise that enables you to use AI to anticipate how your role may evolve in the future. This exercise will help you understand what you should do to prepare for the future of work, including what skills, knowledge, and abilities you may need to acquire, as well as how to mitigate potential risks.
Register for this course and see more details by visiting:
OpenCourser.com/course/0a9vog/use
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What's inside
Syllabus
Use Generative AI as Your Thought Partner
This module explores the use of Generative AI (GenAI) as a strategic tool for employees. It guides users on setting up a GenAI playground, crafting effective prompts, and critically evaluating model responses. The course demonstrates GenAI's capabilities in handling queries and acting as a thought partner, with practical exercises and readings to enhance understanding. Learners who complete this module will be equipped to work alongside a large language model to enhance and sharpen their thinking.
Read more
Syllabus
Use Generative AI as Your Thought Partner
This module explores the use of Generative AI (GenAI) as a strategic tool for employees. It guides users on setting up a GenAI playground, crafting effective prompts, and critically evaluating model responses. The course demonstrates GenAI's capabilities in handling queries and acting as a thought partner, with practical exercises and readings to enhance understanding. Learners who complete this module will be equipped to work alongside a large language model to enhance and sharpen their thinking.
Read more
Use Generative AI to Explore Your Future Role
This module trains users to improve their skills in using Generative AI to see how their personal job role might change because of generative AI. Users will describe their current job role and then use GenAI to envision how their job might change because of GenAI. The module also covers how Generative AI can enhance job satisfaction and identifies the necessary skills and knowledge for future success.
Good to know
Good to know
Know what's good ,
what to watch for , and
possible dealbreakers
Provides guidance on utilizing a powerful large-language model (LLM) as a strategic tool
Delivers hands-on exercises and real-world examples to reinforce learning concepts
Imparts strategies to refine prompts and critically evaluate AI responses
Empowers learners with techniques to leverage AI for personal growth and development
Provides tools to forecast future job roles and prepare for emerging trends
Leverages a sandbox environment for safe and experimental AI interactions
Save this course
Save Use Generative AI as Your Thought Partner 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 Use Generative AI as Your Thought Partner with these
activities:
Review AI Basics
Show steps
Review fundamental AI concepts to set the stage for more in-depth learning
Browse courses on
Artificial Intelligence
Show steps
-
Revisit core concepts of AI such as algorithms, data structures, and complexity analysis
-
Complete online tutorials or exercises on basic AI algorithms
-
Participate in online discussions or forums to engage with other learners and experts
Review linear algebra
Show steps
Linear algebra is a key tool for understanding generative AI models and their applications. Reviewing it will strengthen your foundation for the course.
Browse courses on
Linear Algebra
Show steps
-
Read a textbook or online notes on linear algebra.
-
Solve practice problems.
-
Try implementing some linear algebra algorithms in Python.
Connect with Generative AI Experts
Show steps
Accelerate your learning by seeking guidance and insights from experienced Generative AI professionals.
Show steps
-
Identify potential mentors through online platforms, industry events, or personal connections.
-
Reach out to your selected mentors, introducing yourself and expressing your interest in learning from them.
-
Establish regular communication channels and schedule meetings to discuss Generative AI concepts and applications.
12 other activities
Expand to see all activities and additional details
Show all 15 activities
Attend AI Conferences and Workshops
Show steps
Stay up-to-date with the latest AI trends and connect with experts
Show steps
-
Research upcoming AI conferences and workshops
-
Attend sessions, engage in discussions, and network with other professionals
-
Follow up with newfound connections and explore collaborations
Explore Generative AI Model Capabilities
Show steps
Expand your knowledge of Generative AI by exploring interactive tutorials and demonstrations.
Show steps
-
Identify online platforms or websites that provide interactive Generative AI tutorials.
-
Choose a tutorial that aligns with your interests or learning objectives.
-
Follow the tutorial, actively engaging with the demonstrations and examples.
Experiment with Prompts
Show steps
Practice crafting effective prompts to optimize AI interactions
Show steps
-
Explore online resources and tutorials on best practices for prompt engineering
-
Experiment with different prompt formats and techniques
-
Analyze and refine prompts based on AI responses
Complete Guided Code Walkthroughs
Show steps
Sharpen your understanding of Generative AI capabilities by practicing coding alongside tutorials.
Show steps
-
Find a coding platform or tutorial website offering guided code walkthroughs.
-
Select a walkthrough that aligns with your skill level.
-
Step through the code, understanding each line and its purpose.
Attend Generative AI Workshops
Show steps
Gain hands-on experience and learn from industry experts by attending Generative AI workshops.
Show steps
-
Identify relevant Generative AI workshops or training programs.
-
Register and attend the workshops, actively participating in discussions and exercises.
-
Connect with fellow attendees and workshop leaders to expand your network.
Collaborate on AI Projects
Show steps
Engage in collaborative projects to strengthen your AI skills
Show steps
-
Form a study group or join an online community focused on AI
-
Work together on AI projects, such as developing models or exploring new applications
-
Provide feedback and support to other group members
Participate in Generative AI Competitions
Show steps
Challenge yourself and gain recognition by participating in competitions that showcase Generative AI skills.
Show steps
-
Identify Generative AI competitions or hackathons that align with your interests.
-
Form a team or participate individually, depending on the competition format.
-
Develop and submit a solution that demonstrates your understanding and application of Generative AI.
-
Receive feedback and recognition for your participation and performance.
Develop Generative AI Use Cases
Show steps
Strengthen your ability to apply Generative AI by creating use cases that demonstrate its potential.
Show steps
-
Identify a specific business or industry context.
-
Define a problem or opportunity that Generative AI can address.
-
Develop a detailed use case outlining how Generative AI can be implemented.
-
Present or share your use case with others to gather feedback and insights.
Develop a Generative AI Use Case
Show steps
Apply your understanding of AI to develop a practical use case for your organization
Browse courses on
Generative AI Applications
Show steps
-
Identify a business problem or opportunity that can be addressed with generative AI
-
Design a solution that leverages generative AI capabilities
-
Create a prototype or mock-up to demonstrate the use case
Create a Generative AI-Powered Solution
Show steps
Showcase your mastery of Generative AI by developing a functional solution that leverages its capabilities.
Show steps
-
Identify a real-world problem or challenge that can be addressed with Generative AI.
-
Design and develop a Generative AI solution, implementing appropriate models and techniques.
-
Test and evaluate the solution's performance and accuracy.
-
Document and present your solution, highlighting its benefits and potential impact.
Contribute to Open-Source AI Projects
Show steps
Gain practical experience and contribute to the advancement of AI
Browse courses on
AI Development
Show steps
-
Identify open-source AI projects that align with your interests
-
Contribute to code development, documentation, or testing
-
Engage with the project community and learn from other contributors
Mentor Aspiring AI Professionals
Show steps
Share your knowledge and inspire the next generation of AI leaders
Show steps
-
Connect with students, junior professionals, or underrepresented groups interested in AI
-
Provide guidance, mentorship, and support in their AI learning journey
-
Share insights from your own experiences and foster a positive learning environment
Review AI Basics
Show steps
Review fundamental AI concepts to set the stage for more in-depth learning
Browse courses on
Artificial Intelligence
Show steps
Show steps
Show steps
- Revisit core concepts of AI such as algorithms, data structures, and complexity analysis
- Complete online tutorials or exercises on basic AI algorithms
- Participate in online discussions or forums to engage with other learners and experts
Review linear algebra
Show steps
Linear algebra is a key tool for understanding generative AI models and their applications. Reviewing it will strengthen your foundation for the course.
Browse courses on
Linear Algebra
Show steps
Show steps
Show steps
- Read a textbook or online notes on linear algebra.
- Solve practice problems.
- Try implementing some linear algebra algorithms in Python.
Connect with Generative AI Experts
Show steps
Accelerate your learning by seeking guidance and insights from experienced Generative AI professionals.
Show steps
Show steps
Show steps
- Identify potential mentors through online platforms, industry events, or personal connections.
- Reach out to your selected mentors, introducing yourself and expressing your interest in learning from them.
- Establish regular communication channels and schedule meetings to discuss Generative AI concepts and applications.
12 other activities
Expand to see all activities and additional details
Show all 15 activities
Attend AI Conferences and Workshops
Show steps
Stay up-to-date with the latest AI trends and connect with experts
Show steps
Show steps
Show steps
- Research upcoming AI conferences and workshops
- Attend sessions, engage in discussions, and network with other professionals
- Follow up with newfound connections and explore collaborations
Explore Generative AI Model Capabilities
Show steps
Expand your knowledge of Generative AI by exploring interactive tutorials and demonstrations.
Show steps
Show steps
Show steps
- Identify online platforms or websites that provide interactive Generative AI tutorials.
- Choose a tutorial that aligns with your interests or learning objectives.
- Follow the tutorial, actively engaging with the demonstrations and examples.
Experiment with Prompts
Show steps
Practice crafting effective prompts to optimize AI interactions
Show steps
Show steps
Show steps
- Explore online resources and tutorials on best practices for prompt engineering
- Experiment with different prompt formats and techniques
- Analyze and refine prompts based on AI responses
Complete Guided Code Walkthroughs
Show steps
Sharpen your understanding of Generative AI capabilities by practicing coding alongside tutorials.
Show steps
Show steps
Show steps
- Find a coding platform or tutorial website offering guided code walkthroughs.
- Select a walkthrough that aligns with your skill level.
- Step through the code, understanding each line and its purpose.
Attend Generative AI Workshops
Show steps
Gain hands-on experience and learn from industry experts by attending Generative AI workshops.
Show steps
Show steps
Show steps
- Identify relevant Generative AI workshops or training programs.
- Register and attend the workshops, actively participating in discussions and exercises.
- Connect with fellow attendees and workshop leaders to expand your network.
Collaborate on AI Projects
Show steps
Engage in collaborative projects to strengthen your AI skills
Show steps
Show steps
Show steps
- Form a study group or join an online community focused on AI
- Work together on AI projects, such as developing models or exploring new applications
- Provide feedback and support to other group members
Participate in Generative AI Competitions
Show steps
Challenge yourself and gain recognition by participating in competitions that showcase Generative AI skills.
Show steps
Show steps
Show steps
- Identify Generative AI competitions or hackathons that align with your interests.
- Form a team or participate individually, depending on the competition format.
- Develop and submit a solution that demonstrates your understanding and application of Generative AI.
- Receive feedback and recognition for your participation and performance.
Develop Generative AI Use Cases
Show steps
Strengthen your ability to apply Generative AI by creating use cases that demonstrate its potential.
Show steps
Show steps
Show steps
- Identify a specific business or industry context.
- Define a problem or opportunity that Generative AI can address.
- Develop a detailed use case outlining how Generative AI can be implemented.
- Present or share your use case with others to gather feedback and insights.
Develop a Generative AI Use Case
Show steps
Apply your understanding of AI to develop a practical use case for your organization
Browse courses on
Generative AI Applications
Show steps
Show steps
Show steps
- Identify a business problem or opportunity that can be addressed with generative AI
- Design a solution that leverages generative AI capabilities
- Create a prototype or mock-up to demonstrate the use case
Create a Generative AI-Powered Solution
Show steps
Showcase your mastery of Generative AI by developing a functional solution that leverages its capabilities.
Show steps
Show steps
Show steps
- Identify a real-world problem or challenge that can be addressed with Generative AI.
- Design and develop a Generative AI solution, implementing appropriate models and techniques.
- Test and evaluate the solution's performance and accuracy.
- Document and present your solution, highlighting its benefits and potential impact.
Contribute to Open-Source AI Projects
Show steps
Gain practical experience and contribute to the advancement of AI
Browse courses on
AI Development
Show steps
Show steps
Show steps
- Identify open-source AI projects that align with your interests
- Contribute to code development, documentation, or testing
- Engage with the project community and learn from other contributors
Mentor Aspiring AI Professionals
Show steps
Share your knowledge and inspire the next generation of AI leaders
Show steps
Show steps
Show steps
- Connect with students, junior professionals, or underrepresented groups interested in AI
- Provide guidance, mentorship, and support in their AI learning journey
- Share insights from your own experiences and foster a positive learning environment
Career center
Learners who complete Use Generative AI as Your Thought Partner will develop knowledge and skills
that may be useful to these careers:
Machine Learning Engineer
Machine Learning Engineer
A Machine Learning Engineer is a software engineer who specializes in developing and deploying machine learning models. They work with data scientists to identify the best machine learning algorithms for a given problem, and then they develop and deploy the models. This course may be useful for Machine Learning Engineers who want to learn how to use generative AI to improve their model development and deployment skills.
Data Analyst
Data Analyst
A Data Analyst collects, analyzes, and interprets data to identify trends and patterns. They use this information to make recommendations and inform decision-making. This course may be useful for Data Analysts who want to learn how to use generative AI to improve their data analysis and visualization skills.
Software Engineer
Software Engineer
A Software Engineer designs, develops, and maintains software applications. They work with users to define the requirements for a new application, and then they design and develop the application to meet those requirements. This course may be useful for Software Engineers who want to learn how to use generative AI to improve their software development skills.
Data Scientist
Data Scientist
A Data Scientist is a professional who uses data to solve business problems. They collect, clean, and analyze data to identify trends and patterns. They then use this information to develop predictive models and make recommendations. This course may be useful for Data Scientists who want to learn how to use generative AI to improve their data analysis and modeling skills.
Analyst
Analyst
An Analyst gathers, interprets, and analyzes data to identify trends and patterns. They use this information to make recommendations and inform decision-making. This course may be useful for Analysts who want to learn how to use generative AI to improve their data analysis and visualization skills.
Business Analyst
Business Analyst
A Business Analyst works with businesses to identify and solve problems. They analyze business processes, identify areas for improvement, and develop solutions. This course may be useful for Business Analysts who want to learn how to use generative AI to improve their problem-solving and analysis skills.
Financial Analyst
Financial Analyst
A Financial Analyst gathers, analyzes, and interprets financial data to make recommendations and inform decision-making. They work with clients to identify investment opportunities, develop financial models, and make recommendations on financial decisions. This course may be useful for Financial Analysts who want to learn how to use generative AI to improve their data analysis and modeling skills.
Product Manager
Product Manager
A Product Manager is responsible for the development and launch of new products. They work with engineers, designers, and marketers to define the product vision, roadmap, and features. This course may be useful for Product Managers who want to learn how to use generative AI to improve their product development and launch processes.
Chief Technology Officer
Chief Technology Officer
A Chief Technology Officer is a senior-level manager who leads an organization's technology and IT departments. They develop and implement the organization's technology strategy, manage IT budgets, and oversee the development and implementation of new technologies. This course may be useful for Chief Technology Officers who want to learn how to use generative AI to improve their decision-making, identify new opportunities, and stay ahead of the competition.
Marketing Manager
Marketing Manager
A Marketing Manager is responsible for planning and executing marketing campaigns. They work with a team of marketers to develop and implement marketing strategies, and they track the results of marketing campaigns. This course may be useful for Marketing Managers who want to learn how to use generative AI to improve their marketing research and analysis skills.
Operations Manager
Operations Manager
An Operations Manager is responsible for planning and executing the day-to-day operations of an organization. They work with a team of employees to ensure that the organization runs smoothly and efficiently. This course may be useful for Operations Managers who want to learn how to use generative AI to improve their planning and scheduling skills.
Consultant
Consultant
A Consultant provides advice and guidance to organizations on a variety of business issues. They work with clients to identify problems, develop solutions, and implement change. This course may be useful for Consultants who want to learn how to use generative AI to improve their research and analysis skills.
Sales Manager
Sales Manager
A Sales Manager is responsible for leading and managing a sales team. They work with sales representatives to develop and implement sales strategies, and they track the results of sales campaigns. This course may be useful for Sales Managers who want to learn how to use generative AI to improve their sales forecasting and analysis skills.
Project Manager
Project Manager
A Project Manager is responsible for planning, executing, and closing projects. They work with stakeholders to define project goals, timelines, and budgets. This course may be useful for Project Managers who want to learn how to use generative AI to improve their project planning and management skills.
Customer Success Manager
Customer Success Manager
A Customer Success Manager is responsible for managing relationships with customers. They work with customers to ensure that they are satisfied with the products or services that they have purchased. This course may be useful for Customer Success Managers who want to learn how to use generative AI to improve their customer relationship management skills.
For more career information including salaries, visit:
OpenCourser.com/course/0a9vog/use
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
Use Generative AI as Your Thought Partner.
Save
Provides a comprehensive overview of deep learning. It great resource for anyone looking to build and deploy deep learning models.
Provides a comprehensive overview of reinforcement learning. It great resource for anyone looking to build and deploy reinforcement learning models.
Explores the potential future of AI and its impact on society. It thought-provoking read for anyone interested in the long-term implications of AI.
Save
Explores the potential risks and benefits of superintelligence, a hypothetical type of AI that would be far more intelligent than humans. It must-read for anyone interested in the future of AI and its potential impact on humanity.
Provides a comprehensive overview of large language models. It great resource for anyone looking to build and deploy large language models.
Save
Explores the history and future of AI and the potential for a master algorithm that could solve any problem. It fascinating read for anyone interested in the future of AI and its potential impact on society.
Explores the ethical and safety challenges of AI and proposes a framework for ensuring that AI is used for good.
Provides a comprehensive overview of generative adversarial networks. It great resource for anyone looking to build and deploy generative adversarial networks.
Provides a comprehensive overview of deep learning techniques for natural language processing. It valuable resource for anyone looking to build AI models that can understand and generate human language.
For more information about how these books relate to this course, visit:
OpenCourser.com/course/0a9vog/use
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Level
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Via
Coursera
Institution
Coursera
Instructor
Jeff Maggioncalda, Coursera CEO
Language
English
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Good to know
Provides guidance on utilizing a powerful large-language model (LLM) as a strategic tool
Delivers hands-on exercises and real-world examples to reinforce learning concepts
Imparts strategies to refine prompts and critically evaluate AI responses
Empowers learners with techniques to leverage AI for personal growth and development
Provides tools to forecast future job roles and prepare for emerging trends
Leverages a sandbox environment for safe and experimental AI interactions
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