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Generative AI for Executives and Business Leaders
IBM AI Academy
IBM AI Academy
AI is disrupting every aspect of business and daily life. Author Arthur C. Clarke famously said that “Any sufficiently advanced technology is indistinguishable from magic.” But artificial intelligence (AI) is not magic. It’s math and science, and it’s going to touch every aspect of our lives.
Read more
AI is disrupting every aspect of business and daily life. Author Arthur C. Clarke famously said that “Any sufficiently advanced technology is indistinguishable from magic.” But artificial intelligence (AI) is not magic. It’s math and science, and it’s going to touch every aspect of our lives.
Read more
AI is disrupting every aspect of business and daily life. Author Arthur C. Clarke famously said that “Any sufficiently advanced technology is indistinguishable from magic.” But artificial intelligence (AI) is not magic. It’s math and science, and it’s going to touch every aspect of our lives.
IBM AI Academy offers this course with as part of its initiative to bring awareness at executive levels on the capabilities of AI. Led by IBM thought leaders, this course provides lessons and learnings that are appropriate for CXOs or line of business leaders. The course will provide foundation level understanding of generative AI. You will learn about what generative AI is, how generative AI can create business value, the importance of AI trust and transparency, and how apply generative AI to key use cases like customer service and application modernization.
This is a short self-paced course where you hear from IBM's thought leaders.
Come join us in our effort to help you get started with AI adoption!
Register for this course and see more details by visiting:
OpenCourser.com/course/59cjhx/generative
What's inside
Syllabus
Generative AI for Business Leaders: Overview
This module will get you started with some key events in the history of artificial intelligence (AI). You will learn about the importance of generative AI to businesses and get introduced to different approaches to applying generative AI. You will also learn about foundation models and their benefits. This module will explore issues like AI hallucination, bias, and risk and learn how applying AI ethics and governance builds trust. You will have the opportunity to review the different ways to put AI to work in a business. You will gain insights on using generative AI to improve your service and delight your customers. Finally, delve into the use of AI in application modernization and some best practices to gain a competitive edge.
Good to know
Good to know
Know what's good ,
what to watch for , and
possible dealbreakers
Helps executives get started with AI adoption
Emphasizes the application of generative AI for business value
Taught by IBM thought leaders
Relevant to executives and business leaders looking to understand generative AI
Covers the importance of AI trust and transparency
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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 Executives and Business Leaders with these
activities:
Review foundations of AI
Show steps
Reviewing the basic concepts of AI will help you grasp the advanced concepts covered in this course more easily.
Browse courses on
Machine Learning Basics
Show steps
-
Read introductory articles on AI
-
Watch videos讲解ing AI concepts
-
Take a short online course on AI
Review core AI concepts
Show steps
Review core AI concepts like machine learning, deep learning, and natural language processing to refresh your knowledge and prepare for this course.
Browse courses on
AI Fundamentals
Show steps
-
Revisit textbooks and course materials from previous AI courses
-
Attend online webinars or workshops on AI fundamentals
Learn the Fundamentals of Generative AI
Show steps
Get familiar with the foundational concepts of generative AI to lay a solid groundwork for the course.
Browse courses on
Generative AI
Show steps
-
Watch introductory videos and read articles on generative AI
-
Follow tutorials on how to build simple generative AI models
-
Experiment with pre-trained generative AI models from IBM
18 other activities
Expand to see all activities and additional details
Show all 21 activities
Review Basic Machine Learning Concepts
Show steps
Review foundational machine learning concepts to prepare for the course and ensure a solid understanding of the underlying principles.
Browse courses on
Supervised Learning
Show steps
-
Read introductory articles or blog posts on supervised and unsupervised learning.
-
Explore online tutorials or videos on basic machine learning algorithms, such as linear regression or decision trees.
-
Practice implementing simple machine learning algorithms in a programming language of your choice.
Join a study group on generative AI
Show steps
Joining a study group will provide you with the opportunity to discuss generative AI concepts with other learners and get feedback on your work.
Browse courses on
Generative AI
Show steps
-
Find a study group on generative AI
-
Attend study group meetings regularly
-
Participate in discussions and share your ideas
Discuss Generative AI Use Cases with Peers
Show steps
Engage in discussions with fellow learners to share insights and explore practical applications of generative AI.
Show steps
-
Join a study group or online forum dedicated to generative AI
-
Participate in discussions on different use cases of generative AI
-
Share your own experiences and ideas with your peers
Explore Generative AI Use Cases
Show steps
Expand your knowledge of generative AI applications in various industries to gain practical insights into its potential impact and use cases.
Browse courses on
Generative AI Applications
Show steps
-
Identify industries or domains that are actively leveraging generative AI.
-
Research specific use cases of generative AI, such as text generation, image creation, or data augmentation.
-
Explore case studies or success stories to understand how generative AI is driving innovation and value.
Explore Generative AI Case Studies
Show steps
Gain practical understanding of Generative AI through real-world examples.
Browse courses on
Generative AI Applications
Show steps
-
Identify a specific industry or business challenge
-
Research and gather case studies on Generative AI solutions
-
Analyze the case studies to understand the problem, approach, and outcomes
Follow tutorials on generative AI
Show steps
Following guided tutorials will provide you with hands-on experience with generative AI and help you understand its practical applications.
Browse courses on
Generative AI
Show steps
-
Find tutorials on generative AI
-
Choose a tutorial that matches your skill level
-
Follow the tutorial step-by-step
-
Experiment with different generative AI models
Participate in a generative AI hackathon
Show steps
Participating in a generative AI hackathon will challenge you to solve a problem using generative AI and provide you with the opportunity to learn from other participants.
Browse courses on
Generative AI
Show steps
-
Find a generative AI hackathon
-
Form a team or work individually
-
Develop a solution to the hackathon challenge
-
Submit your solution
Practice with AI-based tools
Show steps
Get hands-on experience with generative AI tools like ChatGPT or DALL-E 2 to apply your knowledge and gain practical skills.
Browse courses on
Generative AI Tools
Show steps
-
Experiment with different generative AI tools and explore their capabilities
-
Develop small projects or experiments using generative AI tools
Join a generative AI study group
Show steps
Engage with peers and discuss generative AI concepts, share experiences, and collaborate on projects to enhance your learning.
Show steps
-
Join online forums or communities dedicated to generative AI
-
Participate in discussions, ask questions, and share your insights
Develop a Generative AI Business Case
Show steps
Apply your understanding of generative AI to create a business case for its implementation in a specific scenario.
Show steps
-
Identify a business problem or opportunity
-
Research how generative AI can address this problem or opportunity
-
Develop a plan for implementing generative AI
-
Estimate the potential benefits and risks of the implementation
-
Present your business case to stakeholders
Build a Generative AI Prototype
Show steps
Apply your understanding by developing a hands-on Generative AI project.
Browse courses on
AI Development
Show steps
-
Choose a specific generative AI model to work with
-
Gather and prepare data for training
-
Build and train your generative AI model
-
Evaluate the performance of your model
Write a blog post about generative AI
Show steps
Writing a blog post about generative AI will help you organize your thoughts and understanding of the topic, and it can also be a valuable resource for other learners.
Browse courses on
Generative AI
Show steps
-
Choose a topic for your blog post
-
Research the topic and gather information
-
Write your blog post
-
Publish your blog post
Participate in generative AI competitions
Show steps
Put your skills to the test and gain valuable experience by participating in generative AI competitions to challenge yourself and showcase your abilities.
Show steps
-
Identify and register for relevant generative AI competitions
-
Collaborate with a team or work independently on competition projects
Attend a Generative AI Workshop
Show steps
Participate in a hands-on workshop to gain practical experience in building and deploying generative AI models.
Show steps
-
Identify and register for a generative AI workshop
-
Prepare for the workshop by reviewing the materials
-
Attend the workshop and actively participate in the exercises
-
Follow up after the workshop by implementing what you've learned
Build a Generative AI Project
Show steps
Apply your understanding of generative AI by building a practical project, such as a text generator, image synthesizer, or data augmentation tool.
Browse courses on
AI Applications
Show steps
-
Define a specific problem or challenge that you want to address using generative AI.
-
Choose an appropriate generative AI technique and develop a model.
-
Train and evaluate your model using relevant datasets.
-
Deploy your model and integrate it with a user interface or application.
Build a generative AI project
Show steps
Building a generative AI project will allow you to apply your knowledge and skills to a real-world problem.
Browse courses on
Generative AI
Show steps
-
Identify a problem that can be solved using generative AI
-
Choose a generative AI model
-
Train the model on your data
-
Deploy the model and evaluate its performance
Explore advanced generative AI techniques
Show steps
Delve into advanced generative AI techniques to enhance your understanding of the latest developments and research in the field.
Browse courses on
Generative Adversarial Networks (GANs)
Show steps
-
Follow online tutorials or courses on advanced generative AI techniques
-
Read research papers and attend conferences on generative AI
Develop a generative AI solution for a business problem
Show steps
Developing a generative AI solution for a business problem will allow you to apply your knowledge and skills to a real-world challenge and demonstrate the value of generative AI.
Browse courses on
Generative AI
Show steps
-
Identify a business problem that can be solved using generative AI
-
Develop a generative AI solution
-
Deploy the solution and evaluate its impact
Review foundations of AI
Show steps
Reviewing the basic concepts of AI will help you grasp the advanced concepts covered in this course more easily.
Browse courses on
Machine Learning Basics
Show steps
Show steps
Show steps
- Read introductory articles on AI
- Watch videos讲解ing AI concepts
- Take a short online course on AI
Review core AI concepts
Show steps
Review core AI concepts like machine learning, deep learning, and natural language processing to refresh your knowledge and prepare for this course.
Browse courses on
AI Fundamentals
Show steps
Show steps
Show steps
- Revisit textbooks and course materials from previous AI courses
- Attend online webinars or workshops on AI fundamentals
Learn the Fundamentals of Generative AI
Show steps
Get familiar with the foundational concepts of generative AI to lay a solid groundwork for the course.
Browse courses on
Generative AI
Show steps
Show steps
Show steps
- Watch introductory videos and read articles on generative AI
- Follow tutorials on how to build simple generative AI models
- Experiment with pre-trained generative AI models from IBM
18 other activities
Expand to see all activities and additional details
Show all 21 activities
Review Basic Machine Learning Concepts
Show steps
Review foundational machine learning concepts to prepare for the course and ensure a solid understanding of the underlying principles.
Browse courses on
Supervised Learning
Show steps
Show steps
Show steps
- Read introductory articles or blog posts on supervised and unsupervised learning.
- Explore online tutorials or videos on basic machine learning algorithms, such as linear regression or decision trees.
- Practice implementing simple machine learning algorithms in a programming language of your choice.
Join a study group on generative AI
Show steps
Joining a study group will provide you with the opportunity to discuss generative AI concepts with other learners and get feedback on your work.
Browse courses on
Generative AI
Show steps
Show steps
Show steps
- Find a study group on generative AI
- Attend study group meetings regularly
- Participate in discussions and share your ideas
Discuss Generative AI Use Cases with Peers
Show steps
Engage in discussions with fellow learners to share insights and explore practical applications of generative AI.
Show steps
Show steps
Show steps
- Join a study group or online forum dedicated to generative AI
- Participate in discussions on different use cases of generative AI
- Share your own experiences and ideas with your peers
Explore Generative AI Use Cases
Show steps
Expand your knowledge of generative AI applications in various industries to gain practical insights into its potential impact and use cases.
Browse courses on
Generative AI Applications
Show steps
Show steps
Show steps
- Identify industries or domains that are actively leveraging generative AI.
- Research specific use cases of generative AI, such as text generation, image creation, or data augmentation.
- Explore case studies or success stories to understand how generative AI is driving innovation and value.
Explore Generative AI Case Studies
Show steps
Gain practical understanding of Generative AI through real-world examples.
Browse courses on
Generative AI Applications
Show steps
Show steps
Show steps
- Identify a specific industry or business challenge
- Research and gather case studies on Generative AI solutions
- Analyze the case studies to understand the problem, approach, and outcomes
Follow tutorials on generative AI
Show steps
Following guided tutorials will provide you with hands-on experience with generative AI and help you understand its practical applications.
Browse courses on
Generative AI
Show steps
Show steps
Show steps
- Find tutorials on generative AI
- Choose a tutorial that matches your skill level
- Follow the tutorial step-by-step
- Experiment with different generative AI models
Participate in a generative AI hackathon
Show steps
Participating in a generative AI hackathon will challenge you to solve a problem using generative AI and provide you with the opportunity to learn from other participants.
Browse courses on
Generative AI
Show steps
Show steps
Show steps
- Find a generative AI hackathon
- Form a team or work individually
- Develop a solution to the hackathon challenge
- Submit your solution
Practice with AI-based tools
Show steps
Get hands-on experience with generative AI tools like ChatGPT or DALL-E 2 to apply your knowledge and gain practical skills.
Browse courses on
Generative AI Tools
Show steps
Show steps
Show steps
- Experiment with different generative AI tools and explore their capabilities
- Develop small projects or experiments using generative AI tools
Join a generative AI study group
Show steps
Engage with peers and discuss generative AI concepts, share experiences, and collaborate on projects to enhance your learning.
Show steps
Show steps
Show steps
- Join online forums or communities dedicated to generative AI
- Participate in discussions, ask questions, and share your insights
Develop a Generative AI Business Case
Show steps
Apply your understanding of generative AI to create a business case for its implementation in a specific scenario.
Show steps
Show steps
Show steps
- Identify a business problem or opportunity
- Research how generative AI can address this problem or opportunity
- Develop a plan for implementing generative AI
- Estimate the potential benefits and risks of the implementation
- Present your business case to stakeholders
Build a Generative AI Prototype
Show steps
Apply your understanding by developing a hands-on Generative AI project.
Browse courses on
AI Development
Show steps
Show steps
Show steps
- Choose a specific generative AI model to work with
- Gather and prepare data for training
- Build and train your generative AI model
- Evaluate the performance of your model
Write a blog post about generative AI
Show steps
Writing a blog post about generative AI will help you organize your thoughts and understanding of the topic, and it can also be a valuable resource for other learners.
Browse courses on
Generative AI
Show steps
Show steps
Show steps
- Choose a topic for your blog post
- Research the topic and gather information
- Write your blog post
- Publish your blog post
Participate in generative AI competitions
Show steps
Put your skills to the test and gain valuable experience by participating in generative AI competitions to challenge yourself and showcase your abilities.
Show steps
Show steps
Show steps
- Identify and register for relevant generative AI competitions
- Collaborate with a team or work independently on competition projects
Attend a Generative AI Workshop
Show steps
Participate in a hands-on workshop to gain practical experience in building and deploying generative AI models.
Show steps
Show steps
Show steps
- Identify and register for a generative AI workshop
- Prepare for the workshop by reviewing the materials
- Attend the workshop and actively participate in the exercises
- Follow up after the workshop by implementing what you've learned
Build a Generative AI Project
Show steps
Apply your understanding of generative AI by building a practical project, such as a text generator, image synthesizer, or data augmentation tool.
Browse courses on
AI Applications
Show steps
Show steps
Show steps
- Define a specific problem or challenge that you want to address using generative AI.
- Choose an appropriate generative AI technique and develop a model.
- Train and evaluate your model using relevant datasets.
- Deploy your model and integrate it with a user interface or application.
Build a generative AI project
Show steps
Building a generative AI project will allow you to apply your knowledge and skills to a real-world problem.
Browse courses on
Generative AI
Show steps
Show steps
Show steps
- Identify a problem that can be solved using generative AI
- Choose a generative AI model
- Train the model on your data
- Deploy the model and evaluate its performance
Explore advanced generative AI techniques
Show steps
Delve into advanced generative AI techniques to enhance your understanding of the latest developments and research in the field.
Browse courses on
Generative Adversarial Networks (GANs)
Show steps
Show steps
Show steps
- Follow online tutorials or courses on advanced generative AI techniques
- Read research papers and attend conferences on generative AI
Develop a generative AI solution for a business problem
Show steps
Developing a generative AI solution for a business problem will allow you to apply your knowledge and skills to a real-world challenge and demonstrate the value of generative AI.
Browse courses on
Generative AI
Show steps
Show steps
Show steps
- Identify a business problem that can be solved using generative AI
- Develop a generative AI solution
- Deploy the solution and evaluate its impact
Career center
Learners who complete Generative AI for Executives and Business Leaders will develop knowledge and skills
that may be useful to these careers:
Marketing Manager
Marketing Manager
Marketing Managers develop and execute marketing campaigns. This course may be useful as it provides a foundation in generative AI.
Sales Manager
Sales Manager
Sales Managers lead sales teams and develop sales strategies. This course may be useful as it provides a foundation in generative AI.
Data Scientist
Data Scientist
Data Scientists use data to build models that can make predictions and recommendations. This course may be useful as it provides a foundation in generative AI.
Machine Learning Engineer
Machine Learning Engineer
Machine Learning Engineers build and deploy machine learning models. This course may be useful as it provides a foundation in generative AI.
Software Engineer
Software Engineer
Software Engineers design, develop, and maintain software applications. This course may be useful as it provides a foundation in generative AI.
Data Analyst
Data Analyst
Data Analysts use data to solve business problems. This course may be useful as it provides a foundation in generative AI.
Information Security Analyst
Information Security Analyst
Information Security Analysts protect a business's information systems from cyberattacks.
Financial Analyst
Financial Analyst
Financial Analysts provide financial advice to individuals and businesses. This course may be useful as it provides a foundation in generative AI.
Product Manager
Product Manager
Product Managers manage the development and launch of new products. This course may be useful as it provides a foundation in generative AI.
Operations Manager
Operations Manager
Operations Managers oversee the day-to-day operations of a business.
Business Intelligence Analyst
Business Intelligence Analyst
Business Intelligence Analysts use data to improve business outcomes. This course may be useful as it provides a foundation in generative AI.
Risk Manager
Risk Manager
Risk Managers identify and mitigate risks to a business.
Customer Success Manager
Customer Success Manager
Customer Success Managers ensure that customers are satisfied with a company's products or services. This course may be useful as it provides a foundation in generative AI.
Compliance Officer
Compliance Officer
Compliance Officers ensure that a business complies with all applicable laws and regulations.
Cybersecurity Analyst
Cybersecurity Analyst
Cybersecurity Analysts protect a business's information systems from cyberattacks.
For more career information including salaries, visit:
OpenCourser.com/course/59cjhx/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 Executives and Business Leaders.
Provides a non-technical overview of artificial intelligence (AI) for business leaders. It is helpful for executives who want to understand the potential of AI and how it can be used to improve their businesses.
Provides a non-technical overview of data science for business leaders. It is helpful for executives who want to understand how data science can be used to improve their businesses.
Save
Provides a comprehensive overview of AI for business leaders. It is helpful for executives who want to understand the potential of AI and how it can be used to improve their businesses.
Provides a comprehensive overview of ML for technical readers. It is helpful for executives who want to understand the mathematical foundations of ML.
Save
Provides a comprehensive overview of deep learning for technical readers. It is helpful for executives who want to understand the mathematical foundations of deep learning.
Provides a non-technical overview of generative AI. It is helpful for executives who want to understand the basics of generative AI and how it can be used to improve their businesses.
Provides a non-technical overview of ML. It is helpful for executives who want to understand the basics of ML and how it can be used to improve their businesses.
For more information about how these books relate to this course, visit:
OpenCourser.com/course/59cjhx/generative
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Effort
1 week of study, 3 hours/week
Level
Introductory
Via
Coursera
Institution
IBM
Instructor
IBM AI Academy
Language
English
Transcripts
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Good to know
Helps executives get started with AI adoption
Emphasizes the application of generative AI for business value
Taught by IBM thought leaders
Relevant to executives and business leaders looking to understand generative AI
Covers the importance of AI trust and transparency
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