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Jeff Maggioncalda, Coursera CEO
This course is primarily focused on preparing your organization for the successful integration of Generative AI. It emphasizes the importance of engaging and training your workforce on GenAI, discussing the unique aspects of a GenAI transformation, and offering practical guidance on readying your organization. Strategies for skilling your workforce on GenAI are provided, ensuring that everyone from executives to team members can effectively utilize this technology.
Read more
This course is primarily focused on preparing your organization for the successful integration of Generative AI. It emphasizes the importance of engaging and training your workforce on GenAI, discussing the unique aspects of a GenAI transformation, and offering practical guidance on readying your organization. Strategies for skilling your workforce on GenAI are provided, ensuring that everyone from executives to team members can effectively utilize this technology.
Read more
This course is primarily focused on preparing your organization for the successful integration of Generative AI. It emphasizes the importance of engaging and training your workforce on GenAI, discussing the unique aspects of a GenAI transformation, and offering practical guidance on readying your organization. Strategies for skilling your workforce on GenAI are provided, ensuring that everyone from executives to team members can effectively utilize this technology.
The course also underscores the importance of engaging key stakeholders, including the board of directors, partners, and customers, on GenAI. It offers insights on effective communication about GenAI and its implications for your business, ensuring all stakeholders are well-informed and aligned with the organization's GenAI strategy.
Register for this course and see more details by visiting:
OpenCourser.com/course/885afx/empowering
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What's inside
Syllabus
Empowering and transforming your organization with GenAI
This short course focuses on preparing your organization for the successful integration of Generative AI. It emphasizes the importance of engaging and training your workforce on GenAI, discussing the unique aspects of a GenAI transformation and offering practical guidance on readying your organization. Strategies for skilling your workforce on GenAI are provided, ensuring that everyone from executives to team members can effectively utilize this technology. The course also underscores the importance of engaging key stakeholders, including the board of directors, partners, and customers, on GenAI. It offers insights on effective communication about GenAI and its implications for your business, ensuring all stakeholders are well-informed and aligned with the organization's GenAI strategy.
Good to know
Good to know
Know what's good ,
what to watch for , and
possible dealbreakers
Teaches the steps to organize a team by using Generative AI integration, which is increasingly used in the industry
Teaches developing leadership in a team to integrate Generative AI, which is essential for business success
Emphasizes engaging with stakeholders, such as investors and board members, on Generative AI, which is a strategic move for business
Provides a roadmap for successfully integrating Generative AI into an organization's operations and culture
Teaches strategies to ensure effective communication among key stakeholders about Generative AI, which is crucial for aligned implementation
May require prior knowledge or experience in Generative AI for a deeper understanding
Save this course
Save Empowering and Transforming Your Organization with GenAI 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 Empowering and Transforming Your Organization with GenAI with these
activities:
Complete the MIT Introduction to Computer Science and Programming in Python Tutorial
Show steps
This tutorial will introduce you to the basics of Python programming.
Browse courses on
Python
Show steps
-
Sign up for the MIT Introduction to Computer Science and Programming in Python tutorial on edX.
-
Complete each lesson and its associated exercises.
-
Ask questions in the discussion forum if you need help.
Review Structure and Interpretation of Computer Programs
Show steps
Review this foundational text to refresh your understanding of programming fundamentals.
View
Structure and Interpretation of Computer...
on Amazon
Show steps
-
Read each chapter thoroughly, taking notes and highlighting key concepts.
-
Work through the exercises at the end of each chapter, implementing the solutions in a programming language of your choice.
-
Discuss the book's ideas with other students or a mentor to deepen your understanding.
Code Daily for at least 30 Minutes
Show steps
Regular coding practice reinforces concepts and improves proficiency.
Browse courses on
Coding
Show steps
-
Set aside a dedicated time each day to code.
-
Choose a project or problem to work on.
-
Write and test your code.
-
Review your code and identify areas for improvement.
Four other activities
Expand to see all activities and additional details
Show all seven activities
Compile a List of Resources on Generative AI
Show steps
Compiling a list of resources will broaden your understanding of Generative AI and its applications.
Browse courses on
Generative AI
Show steps
-
Search for articles, tutorials, and other resources on Generative AI.
-
Organize the resources into a coherent list.
-
Share your list with other students or a mentor for feedback.
Design a Custom Python Script to Automate a Task
Show steps
Creating a custom Python script will solidify your understanding of Python's capabilities and its practical applications.
Browse courses on
Automation
Show steps
-
Identify a task that you want to automate.
-
Design a Python script that automates the task.
-
Test and refine your script to ensure that it works correctly.
Contribute to an Open Source Project Related to Generative AI
Show steps
Contributing to an open source project will provide hands-on experience with Generative AI and its applications.
Browse courses on
Generative AI
Show steps
-
Identify an open source project related to Generative AI that you are interested in contributing to.
-
Read the project's documentation and familiarize yourself with its codebase.
-
Identify an area where you can make a contribution.
-
Fork the project and make your changes.
-
Submit a pull request to the original project.
Build a Generative AI Application
Show steps
Building a Generative AI application will test your understanding of the technology and its practical implementation.
Browse courses on
Machine Learning
Show steps
-
Define the scope of your project.
-
Gather the necessary data and resources.
-
Choose a Generative AI model.
-
Train and evaluate your model.
-
Deploy your application and monitor its performance.
Complete the MIT Introduction to Computer Science and Programming in Python Tutorial
Show steps
This tutorial will introduce you to the basics of Python programming.
Browse courses on
Python
Show steps
Show steps
Show steps
- Sign up for the MIT Introduction to Computer Science and Programming in Python tutorial on edX.
- Complete each lesson and its associated exercises.
- Ask questions in the discussion forum if you need help.
Review Structure and Interpretation of Computer Programs
Show steps
Review this foundational text to refresh your understanding of programming fundamentals.
View
Structure and Interpretation of Computer...
on Amazon
Show steps
Show steps
Show steps
- Read each chapter thoroughly, taking notes and highlighting key concepts.
- Work through the exercises at the end of each chapter, implementing the solutions in a programming language of your choice.
- Discuss the book's ideas with other students or a mentor to deepen your understanding.
Code Daily for at least 30 Minutes
Show steps
Regular coding practice reinforces concepts and improves proficiency.
Browse courses on
Coding
Show steps
Show steps
Show steps
- Set aside a dedicated time each day to code.
- Choose a project or problem to work on.
- Write and test your code.
- Review your code and identify areas for improvement.
Four other activities
Expand to see all activities and additional details
Show all seven activities
Compile a List of Resources on Generative AI
Show steps
Compiling a list of resources will broaden your understanding of Generative AI and its applications.
Browse courses on
Generative AI
Show steps
Show steps
Show steps
- Search for articles, tutorials, and other resources on Generative AI.
- Organize the resources into a coherent list.
- Share your list with other students or a mentor for feedback.
Design a Custom Python Script to Automate a Task
Show steps
Creating a custom Python script will solidify your understanding of Python's capabilities and its practical applications.
Browse courses on
Automation
Show steps
Show steps
Show steps
- Identify a task that you want to automate.
- Design a Python script that automates the task.
- Test and refine your script to ensure that it works correctly.
Contribute to an Open Source Project Related to Generative AI
Show steps
Contributing to an open source project will provide hands-on experience with Generative AI and its applications.
Browse courses on
Generative AI
Show steps
Show steps
Show steps
- Identify an open source project related to Generative AI that you are interested in contributing to.
- Read the project's documentation and familiarize yourself with its codebase.
- Identify an area where you can make a contribution.
- Fork the project and make your changes.
- Submit a pull request to the original project.
Build a Generative AI Application
Show steps
Building a Generative AI application will test your understanding of the technology and its practical implementation.
Browse courses on
Machine Learning
Show steps
Show steps
Show steps
- Define the scope of your project.
- Gather the necessary data and resources.
- Choose a Generative AI model.
- Train and evaluate your model.
- Deploy your application and monitor its performance.
Career center
Learners who complete Empowering and Transforming Your Organization with GenAI will develop knowledge and skills
that may be useful to these careers:
CEO
CEO
CEOs are responsible for the overall management of an organization. They may work on a variety of projects, such as developing new strategies, improving financial performance, or launching new products or services. This course may be useful for CEOs who want to learn more about Generative AI and how it can be used to improve their organization.
CIO
CIO
CIOs are responsible for the management of the IT systems of an organization. They may work on a variety of projects, such as developing new IT systems, implementing new technologies, or providing IT support to employees. This course may be useful for CIOs who want to learn more about Generative AI and how it can be used to improve their IT systems.
Data Scientist
Data Scientist
Data Scientists use data to solve problems and make predictions. They may work on a variety of projects, such as developing new products, improving customer service, or identifying fraud. This course may be useful for Data Scientists who want to learn more about Generative AI and how it can be used to improve their work.
Software Engineer
Software Engineer
Software Engineers design, develop, and maintain software applications. They may work on a variety of projects, such as developing new features, fixing bugs, or improving performance. This course may be useful for Software Engineers who want to learn more about Generative AI and how it can be used to improve their work.
Product Manager
Product Manager
Product Managers are responsible for the development and marketing of products. They may work on a variety of projects, such as developing new products, improving existing products, or launching new marketing campaigns. This course may be useful for Product Managers who want to learn more about Generative AI and how it can be used to improve their products.
Business Analyst
Business Analyst
Business Analysts help organizations improve their business processes. They may work on a variety of projects, such as analyzing data, developing new processes, or implementing new technologies. This course may be useful for Business Analysts who want to learn more about Generative AI and how it can be used to improve their work.
Project Manager
Project Manager
Project Managers are responsible for planning, executing, and closing projects. They may work on a variety of projects, such as developing new products, implementing new technologies, or launching new marketing campaigns. This course may be useful for Project Managers who want to learn more about Generative AI and how it can be used to improve their projects.
Consultant
Consultant
Consultants help organizations solve problems and improve their performance. They may work on a variety of projects, such as developing new strategies, improving processes, or implementing new technologies. This course may be useful for Consultants who want to learn more about Generative AI and how it can be used to improve their clients' organizations.
Marketing Manager
Marketing Manager
Marketing Managers are responsible for developing and executing marketing campaigns. They may work on a variety of projects, such as developing new products, improving existing products, or launching new marketing campaigns. This course may be useful for Marketing Managers who want to learn more about Generative AI and how it can be used to improve their marketing campaigns.
Sales Manager
Sales Manager
Sales Managers are responsible for developing and executing sales strategies. They may work on a variety of projects, such as developing new products, improving existing products, or launching new sales campaigns. This course may be useful for Sales Managers who want to learn more about Generative AI and how it can be used to improve their sales strategies.
Customer Success Manager
Customer Success Manager
Customer Success Managers are responsible for ensuring that customers are satisfied with their products or services. They may work on a variety of projects, such as developing new products, improving existing products, or launching new customer support initiatives. This course may be useful for Customer Success Managers who want to learn more about Generative AI and how it can be used to improve their customer service.
Operations Manager
Operations Manager
Operations Managers are responsible for planning and executing the day-to-day operations of an organization. They may work on a variety of projects, such as developing new processes, improving existing processes, or implementing new technologies. This course may be useful for Operations Managers who want to learn more about Generative AI and how it can be used to improve their operations.
Human Resources Manager
Human Resources Manager
Human Resources Managers are responsible for managing the human resources of an organization. They may work on a variety of projects, such as recruiting new employees, developing training programs, or implementing new employee benefits. This course may be useful for Human Resources Managers who want to learn more about Generative AI and how it can be used to improve their human resources management.
Financial Manager
Financial Manager
Financial Managers are responsible for the financial management of an organization. They may work on a variety of projects, such as developing new budgets, forecasting financial performance, or implementing new financial systems. This course may be useful for Financial Managers who want to learn more about Generative AI and how it can be used to improve their financial management.
IT Manager
IT Manager
IT Managers are responsible for the management of the IT systems of an organization. They may work on a variety of projects, such as developing new IT systems, implementing new technologies, or providing IT support to employees. This course may be useful for IT Managers who want to learn more about Generative AI and how it can be used to improve their IT systems.
For more career information including salaries, visit:
OpenCourser.com/course/885afx/empowering
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
Empowering and Transforming Your Organization with GenAI.
Save
Offers practical advice on how organizations can use AI to gain a competitive advantage. It covers topics such as AI strategy, data management, and building an AI-ready workforce.
Save
Classic in the field of deep learning. It provides a comprehensive overview of the theory and practice of deep learning, covering topics such as neural networks, convolutional neural networks, and recurrent neural networks.
Provides a comprehensive introduction to reinforcement learning, covering topics such as Markov decision processes, value functions, and policy gradient methods.
Save
Provides a comprehensive overview of computer vision. It covers topics such as image formation, feature extraction, and object recognition..
Provides a comprehensive introduction to speech and language processing. It covers topics such as phonetics, phonology, and natural language understanding.
Provides a comprehensive introduction to human-computer interaction. It covers topics such as user experience design, cognitive psychology, and social psychology.
Provides a comprehensive introduction to information retrieval. It covers topics such as text representation, query processing, and evaluation metrics.
Save
Provides a comprehensive introduction to data mining. It covers topics such as data preprocessing, clustering, classification, and association rule mining.
Provides a practical introduction to machine learning using the R programming language. It covers topics such as data preprocessing, model fitting, and model evaluation.
For more information about how these books relate to this course, visit:
OpenCourser.com/course/885afx/empowering
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Level
Introductory
Via
Coursera
Institution
Coursera
Instructor
Jeff Maggioncalda, Coursera CEO
Language
English
Transcripts
Español
Français
Português
Deutsch
Italiano
中文
العربية
한국어
日本語
हिंदी
Nederlands
Svenska
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Türkçe
Polski
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magyar nyelv
Bahasa Indonesia
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This course belongs to a
collection
called
Navigating Generative AI for Leaders. It's comprised of four courses:
- Navigating Generative AI Risks for Leaders
- Setting a Generative AI Strategy
- The Role of the CEO in Navigating GenAI
- Empowering and Transforming Your Organization with GenAI (viewing)
Good to know
Teaches the steps to organize a team by using Generative AI integration, which is increasingly used in the industry
Teaches developing leadership in a team to integrate Generative AI, which is essential for business success
Emphasizes engaging with stakeholders, such as investors and board members, on Generative AI, which is a strategic move for business
Provides a roadmap for successfully integrating Generative AI into an organization's operations and culture
Teaches strategies to ensure effective communication among key stakeholders about Generative AI, which is crucial for aligned implementation
May require prior knowledge or experience in Generative AI for a deeper understanding
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