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Brian Charles
This condensed course is designed to equip business leaders with an essential understanding of generative artificial intelligence and tools to help your organization adapt to this transformative new technology.
By the end of this course, you'll have a deeper understanding of how generative AI can revolutionize your business operations and provide you with the skills and knowledge needed to implement it successfully. Join us on this exciting journey!
Register for this course and see more details by visiting:
OpenCourser.com/course/n3r4ob/generative
What's inside
Learning objectives
- Describe what generative artificial intelligence is.
- Identify likely impacts of generative ai on your industry or corporate function.
- Develop internal policies or tools to guide strategic decision-making around generative ai within your organization.
- Describe what generative artificial intelligence is.
- Identify likely impacts of generative ai on your industry or corporate function.
- Develop internal policies or tools to guide strategic decision-making around generative ai within your organization.
Good to know
Good to know
Know what's good ,
what to watch for , and
possible dealbreakers
Suitable for those new to generative AI, providing foundational knowledge and practical tools
Taught by Brian Charles, an experienced practitioner in generative AI
Delivers practical guidance on implementing generative AI within organizations
Provides insights into the potential impacts of generative AI on various industries
Recommended for business leaders seeking to understand and harness the power of generative AI
May require prior knowledge of basic AI concepts for optimal comprehension
Save this course
Save Generative AI for Business Leaders to your list so you can find it easily later:
Save
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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 Generative AI for Business Leaders with these
activities:
Review prerequisite courses
Show steps
Refine knowledge of the foundational concepts and techniques in data science and machine learning to enhance understanding of generative AI.
Browse courses on
Business Intelligence
Show steps
-
Revisit key concepts from introductory data science courses, such as data wrangling, data exploration, and supervised learning algorithms.
-
Review fundamental machine learning techniques, including linear regression, logistic regression, and decision trees, to refresh understanding of model building and evaluation.
Review Generative Adversarial Networks (GANs)
Show steps
GANs will provide a strong foundation for this course, especially how they relate to Generative AI in business operations.
Browse courses on
GANs
Show steps
-
Read through the GAN tutorials provided by TensorFlow
-
Watch videos about how GANs are used in industry
-
Implement a simple GAN in your favorite language
Review Computer Science and Mathematics I
Show steps
Refresh knowledge of the basic Computer Science and 数学 that serves as the foundation of this course.
Browse courses on
Computer Science
Show steps
-
Review lecture notes and assignments from prerequisite courses.
-
Solve practice problems and exercises.
13 other activities
Expand to see all activities and additional details
Show all 16 activities
Review Computer Science and Mathematics II
Show steps
Ensure a strong understanding of the essential concepts from Computer Science and 数学 required to excel in this course.
Browse courses on
Computer Science
Show steps
-
Review materials from more advanced courses and textbooks.
-
Complete practice problems and coding challenges.
Practice Implementing Generative AI Models
Show steps
Enhance your programming skills and deepen your understanding of generative AI through regular practice and problem-solving.
Show steps
-
Find coding challenges and exercises related to generative AI.
-
Attempt to solve the problems independently.
-
Review solutions and learn from mistakes.
Join Generative AI Study Groups or Communities
Show steps
Enhance understanding and stay up-to-date with generative AI advancements by engaging in discussions and sharing knowledge with peers.
Show steps
-
Identify online forums, discussion groups, or communities dedicated to generative AI.
-
Join these communities to participate in discussions, ask questions, and share your insights with other learners and practitioners.
Explore hands-on examples of generative AI implementation
Show steps
Identify practical applications of generative AI to improve your understanding.
Browse courses on
Generative AI
Show steps
-
Review introductory tutorials on generative AI concepts.
-
Walk through examples of text, image, and audio generation.
-
Experiment with different generative AI platforms.
Explore Generative AI Tools and Resources
Show steps
Gain practical experience with generative AI tools and resources to enhance comprehension of their capabilities and applications.
Show steps
-
Identify and familiarize yourself with popular generative AI tools and platforms, such as OpenAI's GPT-3, Google's Imagen, and Midjourney, to understand their features and limitations.
-
Follow online tutorials and demonstrations to learn how to use these tools effectively for tasks like text generation, image creation, and code generation.
Create a Repository of Generative AI Resources
Show steps
Consolidate resources related to generative AI to supplement and reinforce your understanding throughout the course.
Show steps
-
Gather articles, tutorials, and code repositories on generative AI.
-
Organize and categorize the resources for easy referencing.
-
Create a central repository or document accessible during the course.
Attend Industry Events on Generative AI
Show steps
Gain insights from industry experts and practitioners by attending workshops and conferences focused on generative AI applications and trends.
Show steps
-
Identify upcoming industry events, such as conferences, meetups, or webinars, that cover generative AI topics relevant to your interests.
-
Attend these events to listen to presentations, engage in discussions, and network with professionals in the field.
Explore Generative AI Platforms and Tools
Show steps
Gain hands-on experience working with generative AI by following tutorials and experimenting with various platforms and tools.
Show steps
-
Identify popular generative AI platforms and tools.
-
Follow tutorials and documentation to learn their functionalities.
-
Experiment with different models and settings to understand their capabilities.
Develop Use Cases for Generative AI in Your Industry
Show steps
Deepen understanding of the potential applications of generative AI within your industry by brainstorming and developing concrete use cases.
Show steps
-
Identify potential areas where generative AI can add value to your industry, such as content creation, customer service, or product development.
-
Brainstorm specific use cases for these areas, outlining the problem or opportunity, the generative AI solution, and the expected benefits.
-
Create a presentation or document summarizing your findings to share with colleagues or industry professionals.
Become a Peer Mentor
Show steps
Reinforce your knowledge by assisting and guiding fellow learners, fostering a supportive learning community.
Show steps
-
Volunteer in online forums or discussion groups.
-
Offer assistance and support to classmates.
-
Organize study sessions or workshops.
Apply Generative AI to Small-Scale Projects
Show steps
Solidify understanding of generative AI techniques by working on hands-on projects that involve applying these techniques to real-world scenarios.
Show steps
-
Choose a small-scale project that aligns with your industry or interests, such as generating marketing content, creating product prototypes, or developing educational materials.
-
Apply generative AI tools and techniques to complete the project, experimenting with different approaches and evaluating the results.
-
Document your project, including the problem statement, solution, and lessons learned, to reinforce your understanding and share your findings with others.
Build a Generative AI Application
Show steps
Apply the knowledge and skills acquired in the course to create a practical application that leverages generative AI.
Show steps
-
Define the scope and objectives of the project.
-
Choose appropriate generative AI models and techniques.
-
Develop and train the model.
-
Integrate the model into a functional application.
Attend Generative AI Workshops and Conferences
Show steps
Stay updated on the latest advancements and best practices in generative AI by attending industry events and workshops.
Show steps
-
Research and identify relevant generative AI workshops and conferences.
-
Attend the events and actively participate in discussions.
-
Network with experts and fellow practitioners.
Review prerequisite courses
Show steps
Refine knowledge of the foundational concepts and techniques in data science and machine learning to enhance understanding of generative AI.
Browse courses on
Business Intelligence
Show steps
Show steps
Show steps
- Revisit key concepts from introductory data science courses, such as data wrangling, data exploration, and supervised learning algorithms.
- Review fundamental machine learning techniques, including linear regression, logistic regression, and decision trees, to refresh understanding of model building and evaluation.
Review Generative Adversarial Networks (GANs)
Show steps
GANs will provide a strong foundation for this course, especially how they relate to Generative AI in business operations.
Browse courses on
GANs
Show steps
Show steps
Show steps
- Read through the GAN tutorials provided by TensorFlow
- Watch videos about how GANs are used in industry
- Implement a simple GAN in your favorite language
Review Computer Science and Mathematics I
Show steps
Refresh knowledge of the basic Computer Science and 数学 that serves as the foundation of this course.
Browse courses on
Computer Science
Show steps
Show steps
Show steps
- Review lecture notes and assignments from prerequisite courses.
- Solve practice problems and exercises.
13 other activities
Expand to see all activities and additional details
Show all 16 activities
Review Computer Science and Mathematics II
Show steps
Ensure a strong understanding of the essential concepts from Computer Science and 数学 required to excel in this course.
Browse courses on
Computer Science
Show steps
Show steps
Show steps
- Review materials from more advanced courses and textbooks.
- Complete practice problems and coding challenges.
Practice Implementing Generative AI Models
Show steps
Enhance your programming skills and deepen your understanding of generative AI through regular practice and problem-solving.
Show steps
Show steps
Show steps
- Find coding challenges and exercises related to generative AI.
- Attempt to solve the problems independently.
- Review solutions and learn from mistakes.
Join Generative AI Study Groups or Communities
Show steps
Enhance understanding and stay up-to-date with generative AI advancements by engaging in discussions and sharing knowledge with peers.
Show steps
Show steps
Show steps
- Identify online forums, discussion groups, or communities dedicated to generative AI.
- Join these communities to participate in discussions, ask questions, and share your insights with other learners and practitioners.
Explore hands-on examples of generative AI implementation
Show steps
Identify practical applications of generative AI to improve your understanding.
Browse courses on
Generative AI
Show steps
Show steps
Show steps
- Review introductory tutorials on generative AI concepts.
- Walk through examples of text, image, and audio generation.
- Experiment with different generative AI platforms.
Explore Generative AI Tools and Resources
Show steps
Gain practical experience with generative AI tools and resources to enhance comprehension of their capabilities and applications.
Show steps
Show steps
Show steps
- Identify and familiarize yourself with popular generative AI tools and platforms, such as OpenAI's GPT-3, Google's Imagen, and Midjourney, to understand their features and limitations.
- Follow online tutorials and demonstrations to learn how to use these tools effectively for tasks like text generation, image creation, and code generation.
Create a Repository of Generative AI Resources
Show steps
Consolidate resources related to generative AI to supplement and reinforce your understanding throughout the course.
Show steps
Show steps
Show steps
- Gather articles, tutorials, and code repositories on generative AI.
- Organize and categorize the resources for easy referencing.
- Create a central repository or document accessible during the course.
Attend Industry Events on Generative AI
Show steps
Gain insights from industry experts and practitioners by attending workshops and conferences focused on generative AI applications and trends.
Show steps
Show steps
Show steps
- Identify upcoming industry events, such as conferences, meetups, or webinars, that cover generative AI topics relevant to your interests.
- Attend these events to listen to presentations, engage in discussions, and network with professionals in the field.
Explore Generative AI Platforms and Tools
Show steps
Gain hands-on experience working with generative AI by following tutorials and experimenting with various platforms and tools.
Show steps
Show steps
Show steps
- Identify popular generative AI platforms and tools.
- Follow tutorials and documentation to learn their functionalities.
- Experiment with different models and settings to understand their capabilities.
Develop Use Cases for Generative AI in Your Industry
Show steps
Deepen understanding of the potential applications of generative AI within your industry by brainstorming and developing concrete use cases.
Show steps
Show steps
Show steps
- Identify potential areas where generative AI can add value to your industry, such as content creation, customer service, or product development.
- Brainstorm specific use cases for these areas, outlining the problem or opportunity, the generative AI solution, and the expected benefits.
- Create a presentation or document summarizing your findings to share with colleagues or industry professionals.
Become a Peer Mentor
Show steps
Reinforce your knowledge by assisting and guiding fellow learners, fostering a supportive learning community.
Show steps
Show steps
Show steps
- Volunteer in online forums or discussion groups.
- Offer assistance and support to classmates.
- Organize study sessions or workshops.
Apply Generative AI to Small-Scale Projects
Show steps
Solidify understanding of generative AI techniques by working on hands-on projects that involve applying these techniques to real-world scenarios.
Show steps
Show steps
Show steps
- Choose a small-scale project that aligns with your industry or interests, such as generating marketing content, creating product prototypes, or developing educational materials.
- Apply generative AI tools and techniques to complete the project, experimenting with different approaches and evaluating the results.
- Document your project, including the problem statement, solution, and lessons learned, to reinforce your understanding and share your findings with others.
Build a Generative AI Application
Show steps
Apply the knowledge and skills acquired in the course to create a practical application that leverages generative AI.
Show steps
Show steps
Show steps
- Define the scope and objectives of the project.
- Choose appropriate generative AI models and techniques.
- Develop and train the model.
- Integrate the model into a functional application.
Attend Generative AI Workshops and Conferences
Show steps
Stay updated on the latest advancements and best practices in generative AI by attending industry events and workshops.
Show steps
Show steps
Show steps
- Research and identify relevant generative AI workshops and conferences.
- Attend the events and actively participate in discussions.
- Network with experts and fellow practitioners.
Career center
Learners who complete Generative AI for Business Leaders will develop knowledge and skills
that may be useful to these careers:
Data Scientist
Data Scientist
Generative AI is a relatively new field and as such there is a huge demand for Data Scientists. This course will give you a solid foundation in the fundamentals of generative AI. You will learn the different types of generative AI models, how they work, and how they can be used to solve real-world problems.
Machine Learning Engineer
Machine Learning Engineer
Generative AI is a specialized form of machine learning. This course will help you build a foundation in machine learning, and learn how to apply generative AI to real-world problems.
Quantitative Analyst
Quantitative Analyst
Generative AI is a revolutionary technology that is having a major impact on the financial world. This course will help you understand how generative AI works and how it can be used to improve your financial analysis and forecasting.
Software Engineer
Software Engineer
Generative AI is a hot new technology and as such there is a huge demand for Software Engineers with experience in generative AI. This course will introduce you to generative AI and help you develop the skills you need to build generative AI applications.
Technologist
Technologist
Generative AI is a complex and evolving field. Stay ahead of the curve by taking this course, designed for professionals in the tech industry.
Strategy Consultant
Strategy Consultant
Generative AI can be used to develop and implement business strategies. This course will teach you how to use generative AI to identify opportunities and develop effective strategies for your organization.
Risk Manager
Risk Manager
Generative AI can be used to identify and mitigate risks. This course will teach you how to use generative AI to improve your risk management processes and protect your organization from harm.
Product Manager
Product Manager
Generative AI will have a major impact on the product development process. This course will teach you how to identify generative AI opportunities and how to develop and launch successful generative AI products.
Financial Analyst
Financial Analyst
Generative AI can be used to improve financial analysis and forecasting. This course will teach you how to use generative AI to make better decisions and improve your financial performance.
Marketing Manager
Marketing Manager
Generative AI is a powerful tool that can be used to create personalized marketing campaigns and content. This course will teach you how to use generative AI to improve your marketing efforts and reach your target audience more effectively.
Operations Manager
Operations Manager
Generative AI can be used to improve operational efficiency.
Data Analyst
Data Analyst
Generative AI can be used to automate many tasks that are typically performed by Data Analysts.
Business Analyst
Business Analyst
Generative AI can be used to automate many tasks that are typically performed by Business Analysts.
Business Student
Business Student
Are you a business student interested in generative AI? You must take this course. From the course description, it's evident that generative AI is poised to revolutionize the world of business, and this course will equip you with the foundational knowledge and problem-solving skills to succeed in this emergent field.
Project Manager
Project Manager
Generative AI can be used to improve project planning and execution. This course will teach you how to use generative AI to streamline your project management processes and improve your chances of success.
For more career information including salaries, visit:
OpenCourser.com/course/n3r4ob/generative
Reading list
We've selected seven 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
Generative AI for Business Leaders.
Provides a practical guide to using AI in business, including case studies and best practices.
Save
Provides a framework for understanding and using AI in business.
Provides a comprehensive overview of AI, including generative AI, and its potential impact on businesses. It is written in a clear and concise style, making it a good choice for readers who are interested in learning more about the topic.
Save
Provides a comprehensive overview of machine learning, a subfield of AI that is used to train generative AI models. It good choice for readers who are interested in learning more about the technical aspects of generative AI.
Provides a hands-on introduction to deep learning, a subfield of AI that is used to train generative AI models. It is written in a clear and concise style, making it a good choice for readers who are interested in learning more about the technical aspects of generative AI.
Provides a comprehensive overview of deep learning, a subfield of AI that is used to train generative AI models. It good choice for readers who are interested in learning more about the technical aspects of generative AI.
Provides a basic introduction to generative AI. It is written in a clear and concise style, making it a good choice for readers who are new to the topic.
For more information about how these books relate to this course, visit:
OpenCourser.com/course/n3r4ob/generative
Share
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Effort
1 to 2 hours per week for 2 weeks
Level
Intermediate
Via
edX
Institution
edX
Instructor
Brian Charles
Language
English
Transcript
English
Good to know
Suitable for those new to generative AI, providing foundational knowledge and practical tools
Taught by Brian Charles, an experienced practitioner in generative AI
Delivers practical guidance on implementing generative AI within organizations
Provides insights into the potential impacts of generative AI on various industries
Recommended for business leaders seeking to understand and harness the power of generative AI
May require prior knowledge of basic AI concepts for optimal comprehension
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