We may earn an affiliate commission when you visit our partners.
Introduction to Generative AI for Executives and Business Leaders
IBM AI Academy
IBM AI Academy
The Generative AI for Executives and Business Leaders, presented by IBM AI Academy, explores topics and assets that span three core learning areas: strategic essentials, key elements for enterprise AI, and how to put AI to work.
Read more
The Generative AI for Executives and Business Leaders, presented by IBM AI Academy, explores topics and assets that span three core learning areas: strategic essentials, key elements for enterprise AI, and how to put AI to work.
Read more
The Generative AI for Executives and Business Leaders, presented by IBM AI Academy, explores topics and assets that span three core learning areas: strategic essentials, key elements for enterprise AI, and how to put AI to work.
This course is designed for executives and business leaders. In addition, line of business leaders and practitioners curious about the rapidly developing field of generative AI and its capabilities across industries and domains can benefit by taking the course.
Register for this course and see more details by visiting:
OpenCourser.com/course/j5d2j3/introduction
What's inside
Learning objectives
- Understand the history and impact of generative ai for business.
- Learn about the importance of your data in relation to generative ai.
- Know the importance of trusted, transparent and governed ai.
- Apply generative ai to key use cases like customer service and application modernization.
- Understand the history and impact of generative ai for business.
- Learn about the importance of your data in relation to generative ai.
- Know the importance of trusted, transparent and governed ai.
- Apply generative ai to key use cases like customer service and application modernization.
Syllabus
Module 1: Generative AI for Business Leaders: Overview
Lesson 0: Welcome to the course
Lesson 1: Strategic essentials
Lesson 2: Elements of AI in enterprise
Read more
Syllabus
Module 1: Generative AI for Business Leaders: Overview
Lesson 0: Welcome to the course
Lesson 1: Strategic essentials
Lesson 2: Elements of AI in enterprise
Read more
Lesson 3: Putting AI to work
Lesson 4: Final quiz and course wrap up
Good to know
Good to know
Know what's good ,
what to watch for , and
possible dealbreakers
Teaches the importance of trusted, transparent, and governed AI, which is critical for responsible implementation in business
Explores the strategic essentials of generative AI for executives and business leaders, providing valuable insights for decision-making
Introduces key elements of enterprise AI, helping learners understand how generative AI fits into larger organizational strategies
Provides practical guidance on applying generative AI to key use cases, such as customer service and application modernization
Examines the history and impact of generative AI for business, offering a comprehensive understanding of its evolution and significance
Save this course
Save Introduction to Generative AI for Executives and Business Leaders to your list so you can find it easily later:
Save
Save
Activities
Coming soon
We're preparing activities for
Introduction to Generative AI for Executives and Business Leaders.
These are activities you can do either before, during, or after a course.
Career center
Learners who complete Introduction to Generative AI for Executives and Business Leaders will develop knowledge and skills
that may be useful to these careers:
Data Scientist
Data Scientist
Data Scientists analyze data to extract insights and build predictive models. They use a variety of statistical and machine learning techniques to solve business problems. The course can help you build a foundation in generative AI, which is a rapidly growing field with a high demand for skilled professionals.
Machine Learning Engineer
Machine Learning Engineer
Machine Learning Engineers build and deploy machine learning models. They work with data scientists to identify the right models for a given problem and then develop and deploy those models in a production environment. The course can help you learn about the key elements of enterprise AI and how to put AI to work in key use cases.
Chief Data Officer
Chief Data Officer
Chief Data Officers oversee an organization's data. They manage data storage, protection, analytics, and reporting to help drive business decisions. The course can help you understand the importance of data in relation to generative AI and how to use data to drive business outcomes.
AI Architect
AI Architect
AI Architects design and build AI systems. They work with business leaders and technical teams to ensure that AI systems are aligned with business goals and that they are scalable, reliable, and secure. The course can help you understand the strategic essentials of AI and how to put AI to work in key use cases.
Chief AI Officer
Chief AI Officer
Chief AI Officers are responsible for developing and executing an organization's AI strategy. They work with business leaders to identify AI use cases and ensure that AI is used ethically and responsibly. The course can help you understand the history and impact of generative AI for business, the importance of trusted, transparent, and governed AI, and how to put AI to work in key use cases.
AI Strategy Consultant
AI Strategy Consultant
AI Strategy Consultants help organizations develop and execute their AI strategies. They work with business leaders to identify AI use cases, develop AI roadmaps, and build AI teams. The course can help you understand the history and impact of generative AI for business, the importance of trusted, transparent, and governed AI, and how to put AI to work in key use cases.
IT Manager
IT Manager
IT Managers are responsible for managing an organization's IT infrastructure. They work with business leaders to ensure that IT systems are aligned with business goals and that they are secure and reliable. The course can help you understand the key elements of enterprise AI and how to put AI to work in key use cases, which can be valuable for IT Managers who want to help their organizations adopt AI.
CIO
CIO
CIOs are responsible for overseeing an organization's IT strategy and operations. They work with business leaders to ensure that IT is aligned with business goals and that it is delivering value to the organization. The course can help you understand the strategic essentials of AI and how to put AI to work in key use cases, which can be valuable for CIOs who want to help their organizations adopt AI.
CEO
CEO
CEOs are responsible for the overall success of an organization. They work with the board of directors to set the strategic direction of the organization and to ensure that the organization is meeting its goals. The course can help you understand the history and impact of generative AI for business, the importance of trusted, transparent, and governed AI, and how to put AI to work in key use cases, which can be valuable for CEOs who want to help their organizations adopt AI.
COO
COO
COOs are responsible for the day-to-day operations of an organization. They work with the CEO to implement the strategic direction of the organization and to ensure that the organization is running smoothly. The course can help you understand the key elements of enterprise AI and how to put AI to work in key use cases, which can be valuable for COOs who want to help their organizations adopt AI.
CMO
CMO
CMOs are responsible for marketing and sales. They work with the CEO to develop and execute the marketing and sales strategy of the organization. The course can help you understand the strategic essentials of AI and how to put AI to work in key use cases, such as customer service and application modernization, which can be valuable for CMOs who want to help their organizations adopt AI.
Business Analyst
Business Analyst
Business Analysts analyze business processes and identify opportunities for improvement. They work with business leaders to develop and implement new solutions. The course can help you understand the history and impact of generative AI for business, the importance of trusted, transparent, and governed AI, and how to put AI to work in key use cases, which can be valuable for Business Analysts who want to help their organizations adopt AI.
CTO
CTO
CTOs are responsible for the technology strategy and operations of an organization. They work with the CEO to ensure that the organization is using technology to its full potential. The course can help you understand the history and impact of generative AI for business, the importance of trusted, transparent, and governed AI, and how to put AI to work in key use cases, which can be valuable for CTOs who want to help their organizations adopt AI.
Product Manager
Product Manager
Product Managers are responsible for developing and launching new products. They work with engineers, designers, and marketers to bring new products to market. The course can help you understand the strategic essentials of AI and how to put AI to work in key use cases, which can be valuable for Product Managers who want to develop AI-powered products.
Data Architect
Data Architect
Data Architects design and build data management systems. They work with data engineers to ensure that data is stored, processed, and analyzed efficiently. The course can help you understand the importance of data in relation to generative AI and how to use data to drive business outcomes.
For more career information including salaries, visit:
OpenCourser.com/course/j5d2j3/introduction
Reading list
We've selected 17 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
Introduction to Generative AI for Executives and Business Leaders.
Provides real-world examples of how companies are using AI and ML to solve problems. It covers a wide range of use cases, from customer service to fraud detection.
Explores the impact of AI on the workplace and how businesses can adapt to the changing landscape. It provides practical advice on how to integrate AI into business processes, manage the workforce, and create a culture of innovation.
Provides a practical guide to using AI in business. It covers topics such as AI applications, data analytics, machine learning, and AI ethics.
Provides a hands-on approach to machine learning using Python libraries such as Scikit-Learn, Keras, and TensorFlow. It covers topics such as data preprocessing, model selection, and hyperparameter tuning.
Practical guide to building deep learning models using Fastai and PyTorch. It provides a step-by-step approach to developing and deploying deep learning solutions for various applications.
Provides a comprehensive guide to deep learning using Python and the Keras library. It covers topics such as convolutional neural networks, recurrent neural networks, and generative adversarial networks.
Save
Provides a comprehensive overview of computer vision algorithms and their applications. It covers topics such as image formation, feature extraction, object recognition, and motion analysis.
Save
Provides a comprehensive overview of generative adversarial networks (GANs), a type of generative model that has shown promising results in generating realistic images, text, and other data.
Save
Comprehensive reference on deep learning. It covers the latest advances in the field, and provides a detailed explanation of the underlying mathematics.
Provides a comprehensive overview of statistical learning. It covers the latest advances in the field, and provides a detailed explanation of the underlying mathematics.
Provides a comprehensive overview of pattern recognition and machine learning. It covers the latest advances in the field, and provides a detailed explanation of the underlying mathematics.
Provides a comprehensive overview of reinforcement learning. It covers the latest advances in the field, and provides a detailed explanation of the underlying mathematics.
Provides a comprehensive overview of natural language processing. It covers the latest advances in the field, and provides a detailed explanation of the underlying mathematics.
Provides a comprehensive overview of machine learning from a probabilistic perspective. It covers the latest advances in the field, and provides a detailed explanation of the underlying mathematics.
Provides a comprehensive overview of artificial intelligence. It covers the latest advances in the field, and provides a detailed explanation of the underlying mathematics.
Provides a comprehensive overview of speech and language processing. It covers the latest advances in the field, and provides a detailed explanation of the underlying mathematics.
Provides a comprehensive overview of computer vision. It covers the latest advances in the field, and provides a detailed explanation of the underlying mathematics.
For more information about how these books relate to this course, visit:
OpenCourser.com/course/j5d2j3/introduction
Share
Similar courses
Here are nine courses similar to
Introduction to Generative AI for Executives and Business Leaders.
Generative AI for Executives and Business Leaders
OpenCourser.com/course/59cjhx/generative
Generative AI for Executives and Business Leaders
Most relevant
Generative AI for Business - A Leaders' Handbook
OpenCourser.com/course/nz2a1u/generative
Generative AI for Business - A Leaders' Handbook
Most relevant
Generative AI: Advance Your Human Resources (HR) Career
OpenCourser.com/course/jgh3ku/generative
Generative AI: Advance Your Human Resources (HR) Career
Most relevant
Generative AI: Introduction and Applications
OpenCourser.com/course/9kb75f/generative
Generative AI: Introduction and Applications
Most relevant
Generative AI: Prompt Engineering Basics
OpenCourser.com/course/4jqeyk/generative
Generative AI: Prompt Engineering Basics
Most relevant
Introduction to Generative AI
OpenCourser.com/course/ghwyk9/introduction
Introduction to Generative AI
Most relevant
Introduction to Prompt Engineering
OpenCourser.com/course/aub1l2/introduction
Introduction to Prompt Engineering
Most relevant
Business Strategy: Value Proposition Essentials
OpenCourser.com/course/1t6dc0/business
Business Strategy: Value Proposition Essentials
Most relevant
Generative AI for Executives
OpenCourser.com/course/8dkmc1/generative
Generative AI for Executives
Most relevant
Effort
2 to 3 hours per week for 1 week
Level
Introductory
Via
edX
Institution
IBM
Instructor
IBM AI Academy
Session
April 15, 2024
- December 31, 2024
Language
English
Transcript
English
Good to know
Teaches the importance of trusted, transparent, and governed AI, which is critical for responsible implementation in business
Explores the strategic essentials of generative AI for executives and business leaders, providing valuable insights for decision-making
Introduces key elements of enterprise AI, helping learners understand how generative AI fits into larger organizational strategies
Provides practical guidance on applying generative AI to key use cases, such as customer service and application modernization
Examines the history and impact of generative AI for business, offering a comprehensive understanding of its evolution and significance
Our mission
OpenCourser helps millions of learners each year. People visit us to learn workspace skills, ace their exams, and nurture their curiosity.
Our extensive catalog contains over 50,000 courses and twice as many books. Browse by search, by topic, or even by career interests. We'll match you to the right resources quickly.
Find this site helpful? Tell a friend about us.
Affiliate disclosure
We're supported by our community of learners. When you purchase or subscribe to courses and programs or purchase books, we may earn a commission from our partners.
Your purchases help us maintain our catalog and keep our servers humming without ads.
Thank you for supporting OpenCourser.
© 2016 - 2024 OpenCourser