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Veronica Moran
and
Fatima Bdair
AI is the hottest, most exciting technology to burst onto the scene in recent years. Its impact is so big, it is revolutionizing industries all over the globe. If you are an executive, you may be wondering how to harness AI's incredible power for your organization. Well, this course is going to show you how to do just that.
Read more
AI is the hottest, most exciting technology to burst onto the scene in recent years. Its impact is so big, it is revolutionizing industries all over the globe. If you are an executive, you may be wondering how to harness AI's incredible power for your organization. Well, this course is going to show you how to do just that.
Read more
AI is the hottest, most exciting technology to burst onto the scene in recent years. Its impact is so big, it is revolutionizing industries all over the globe. If you are an executive, you may be wondering how to harness AI's incredible power for your organization. Well, this course is going to show you how to do just that.
This Short Course was created to help leaders in organizations harness the power of AI to create long-term value for their businesses.
By completing this course you'll be able to develop and execute an effective AI Strategy for your organization that enables efficiency, growth, and an increased competitive advantage.
More specifically, in this 1.5-hour long course, you will learn how to develop your organization's GenAI capability to enable the sustainable delivery of AI-powered solutions, analyze the potential applications of GenAI in your organization, identify opportunities for improvement and expansion, and apply a governance structure that assures the implementation of GenAI solutions that are ethical and compliant with legislation.
This course is unique because it will give you all the essentials you will need to turn your organization into an AI-fueled powerhouse.
Register for this course and see more details by visiting:
OpenCourser.com/course/t84pw4/build
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What's inside
Syllabus
Build and Execute an Organisational AI Strategy
The course emphasizes the significance of AI in today's technological landscape, highlighting its transformative impact across industries. Led by Veronica Moran, this course focuses on empowering executives to harness AI's potential for organizational growth. Veronica, an expert in technology and innovation, specializes in leveraging emerging technologies like AI to create value for organizations. By completing this course, you will gain the tools necessary to establish sustainable AI capabilities within your organization; improve AI literacy among your staff; and identify, prioritize and implement AI solutions that are aligned with business goals, ethical and compliant.
Read more
Syllabus
Build and Execute an Organisational AI Strategy
The course emphasizes the significance of AI in today's technological landscape, highlighting its transformative impact across industries. Led by Veronica Moran, this course focuses on empowering executives to harness AI's potential for organizational growth. Veronica, an expert in technology and innovation, specializes in leveraging emerging technologies like AI to create value for organizations. By completing this course, you will gain the tools necessary to establish sustainable AI capabilities within your organization; improve AI literacy among your staff; and identify, prioritize and implement AI solutions that are aligned with business goals, ethical and compliant.
Read more
Lesson 1: Crafting a GenAI Capability for Sustainable AI Solutions
In this lesson, you will learn how to evaluate an organization's current GenAI capability. You'll explore how to conduct an audit and analyze an organization's capability in comparison to a capability maturity model. Then, you'll delve into the four key steps involved in designing a GenAI capability that is customized to any organization.
Lesson 2: Harnessing AI: Initiatives For Improving Your Business
In this lesson, you will explore real-world examples and learn how to to harness GenAI to mitigate against disruption, introduce efficiencies, and increase revenue for your organization.
Lesson 3: Structuring GenAI for Ethical Compliance
In this lesson, you will explore the issues of AI ethics and regulatory compliance, and gain tools for implementing an AI governance structure.
Good to know
Good to know
Know what's good ,
what to watch for , and
possible dealbreakers
Can help executives adopt AI to transform their businesses and become more competitive
Provides a practical approach to AI strategy development and implementation
Suitable for executives with existing knowledge of AI and strategic planning
Emphasis on ethical and regulatory compliance ensures responsible AI adoption
Led by experienced technology and innovation expert, Veronica Moran
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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 Build and Execute an Organisational AI Strategy with these
activities:
Make a GenAI capability checklist
Show steps
Develop a checklist of skills and knowledge to help assess current GenAI capabilities and growth opportunities
Show steps
-
Review the course syllabus
-
Identify key concepts
-
Create a list of skills and knowledge
-
Prioritize the skills and knowledge
-
Create a checklist and assessment plan
Read `Artificial Intelligence: A Modern Approach`
Show steps
This book provides a comprehensive overview of AI concepts and algorithms. Reviewing this book can help put some extra wind in your sails as you begin this course.
View
Melania
on Amazon
Show steps
-
Read the book from cover to cover.
-
Take notes and highlight important passages.
-
Complete the exercises and assignments at the end of each chapter.
Review Basic Math Concepts
Show steps
Math is a fundamental building block for AI. Review basic math concepts, such as probability, statistics and linear algebra to make sure that you have a solid foundation before beginning this course.
Browse courses on
Algebra
Show steps
-
Review your notes from previous math courses.
-
Take practice problems and quizzes.
-
Ask your instructor or a tutor for help with any concepts that you don't understand.
Eight other activities
Expand to see all activities and additional details
Show all 11 activities
Organize Your Course Materials
Show steps
Having your course materials well organized prior to the start of the course will enable you to find the resources that you need effortlessly as you begin to take this course.
Browse courses on
Artificial Intelligence
Show steps
-
Set up a dedicated folder or notebook for the course.
-
File your notes, assignments, and other materials in an organized manner.
-
Create a system for tracking your progress and deadlines.
Learn about the Basics of Artificial Intelligence
Show steps
Artificial Intelligence is the foundational technology for this course. Review the basics of how AI works before starting this course to improve your understanding of the materials covered.
Browse courses on
Artificial Intelligence
Show steps
-
Watch tutorial videos on YouTube or Coursera about Artificial Intelligence.
-
Read articles and blog posts about Artificial Intelligence.
-
Participate in online discussions about Artificial Intelligence.
Start a Study Group
Show steps
Working with peers can provide a space for you to ask questions and better understand the materials covered in this course.
Browse courses on
Artificial Intelligence
Show steps
-
Find a few classmates who are also taking the course.
-
Meet regularly to discuss the course material.
-
Work together on assignments and projects.
Explore GenAI use cases and applications
Show steps
Find examples of GenAI applications to understand how it can be used in different industries and sectors
Browse courses on
AI Strategy
Show steps
-
Research GenAI use cases
-
Identify industries and sectors
-
Explore specific examples
-
Analyze the benefits and challenges
-
Create a summary report
Build an AI Resources Collection
Show steps
Having access to supplemental materials can help you build knowledge quicker and with more ease. Create a compilation of resources that will make it easier to find materials for this course and future use.
Browse courses on
Artificial Intelligence
Show steps
-
Collect links to websites, articles, and videos about Artificial Intelligence.
-
Organize resources into folders or a spreadsheet.
-
Share your compilation with other students or online.
Attend an AI Workshop
Show steps
Workshops provide an immersive experience that can provide you with new insights and skills. Seek out a workshop on AI to help improve your learning outcomes from this course.
Browse courses on
Artificial Intelligence
Show steps
-
Find a workshop that covers topics relevant to your interests.
-
Register for the workshop.
-
Attend the workshop and actively participate in the activities.
Develop a case study on AI implementation
Show steps
Create a detailed case study to demonstrate the implementation of AI in an organization
Browse courses on
AI Impact
Show steps
-
Identify an organization implementing AI
-
Research the AI solutions
-
Gather data and evidence
-
Analyze the results
-
Write a compelling case study
Practice AI-Related Coding Problems
Show steps
The best way to improve your understanding of AI is to try writing code for AI algorithms. Practice writing code for common AI problems to better your comprehension of course materials.
Browse courses on
Artificial Intelligence
Show steps
-
Find online coding challenges or tutorials for AI-related problems.
-
Attempt to solve the problems on your own.
-
Check your solutions against the provided answers or ask for help from others.
Make a GenAI capability checklist
Show steps
Develop a checklist of skills and knowledge to help assess current GenAI capabilities and growth opportunities
Show steps
Show steps
Show steps
- Review the course syllabus
- Identify key concepts
- Create a list of skills and knowledge
- Prioritize the skills and knowledge
- Create a checklist and assessment plan
Read `Artificial Intelligence: A Modern Approach`
Show steps
This book provides a comprehensive overview of AI concepts and algorithms. Reviewing this book can help put some extra wind in your sails as you begin this course.
View
Melania
on Amazon
Show steps
Show steps
Show steps
- Read the book from cover to cover.
- Take notes and highlight important passages.
- Complete the exercises and assignments at the end of each chapter.
Review Basic Math Concepts
Show steps
Math is a fundamental building block for AI. Review basic math concepts, such as probability, statistics and linear algebra to make sure that you have a solid foundation before beginning this course.
Browse courses on
Algebra
Show steps
Show steps
Show steps
- Review your notes from previous math courses.
- Take practice problems and quizzes.
- Ask your instructor or a tutor for help with any concepts that you don't understand.
Eight other activities
Expand to see all activities and additional details
Show all 11 activities
Organize Your Course Materials
Show steps
Having your course materials well organized prior to the start of the course will enable you to find the resources that you need effortlessly as you begin to take this course.
Browse courses on
Artificial Intelligence
Show steps
Show steps
Show steps
- Set up a dedicated folder or notebook for the course.
- File your notes, assignments, and other materials in an organized manner.
- Create a system for tracking your progress and deadlines.
Learn about the Basics of Artificial Intelligence
Show steps
Artificial Intelligence is the foundational technology for this course. Review the basics of how AI works before starting this course to improve your understanding of the materials covered.
Browse courses on
Artificial Intelligence
Show steps
Show steps
Show steps
- Watch tutorial videos on YouTube or Coursera about Artificial Intelligence.
- Read articles and blog posts about Artificial Intelligence.
- Participate in online discussions about Artificial Intelligence.
Start a Study Group
Show steps
Working with peers can provide a space for you to ask questions and better understand the materials covered in this course.
Browse courses on
Artificial Intelligence
Show steps
Show steps
Show steps
- Find a few classmates who are also taking the course.
- Meet regularly to discuss the course material.
- Work together on assignments and projects.
Explore GenAI use cases and applications
Show steps
Find examples of GenAI applications to understand how it can be used in different industries and sectors
Browse courses on
AI Strategy
Show steps
Show steps
Show steps
- Research GenAI use cases
- Identify industries and sectors
- Explore specific examples
- Analyze the benefits and challenges
- Create a summary report
Build an AI Resources Collection
Show steps
Having access to supplemental materials can help you build knowledge quicker and with more ease. Create a compilation of resources that will make it easier to find materials for this course and future use.
Browse courses on
Artificial Intelligence
Show steps
Show steps
Show steps
- Collect links to websites, articles, and videos about Artificial Intelligence.
- Organize resources into folders or a spreadsheet.
- Share your compilation with other students or online.
Attend an AI Workshop
Show steps
Workshops provide an immersive experience that can provide you with new insights and skills. Seek out a workshop on AI to help improve your learning outcomes from this course.
Browse courses on
Artificial Intelligence
Show steps
Show steps
Show steps
- Find a workshop that covers topics relevant to your interests.
- Register for the workshop.
- Attend the workshop and actively participate in the activities.
Develop a case study on AI implementation
Show steps
Create a detailed case study to demonstrate the implementation of AI in an organization
Browse courses on
AI Impact
Show steps
Show steps
Show steps
- Identify an organization implementing AI
- Research the AI solutions
- Gather data and evidence
- Analyze the results
- Write a compelling case study
Practice AI-Related Coding Problems
Show steps
The best way to improve your understanding of AI is to try writing code for AI algorithms. Practice writing code for common AI problems to better your comprehension of course materials.
Browse courses on
Artificial Intelligence
Show steps
Show steps
Show steps
- Find online coding challenges or tutorials for AI-related problems.
- Attempt to solve the problems on your own.
- Check your solutions against the provided answers or ask for help from others.
Career center
Learners who complete Build and Execute an Organisational AI Strategy will develop knowledge and skills
that may be useful to these careers:
AI Engineer
AI Engineer
AI Engineers design, develop, and maintain artificial intelligence systems. This course will help you build a foundation in AI and learn how to apply it to real-world business scenarios. This will give you the skills you need to be successful in this role.
Machine Learning Engineer
Machine Learning Engineer
Machine Learning Engineers build and maintain machine learning models. This course will help you build a foundation in AI and learn how to apply it to real-world business scenarios. This will give you the skills you need to be successful in this role.
Data Scientist
Data Scientist
Data Scientists analyze data, build models, and develop solutions to business problems. This course will help you build a foundation in AI and learn how to apply it to real-world business scenarios. This will give you the skills you need to be successful in this role.
Data Analyst
Data Analyst
Data Analysts collect, analyze, and interpret data to help businesses make decisions. This course will help you build a foundation in AI and learn how to apply it to real-world business scenarios. This will give you the skills you need to be successful in this role.
Business Analyst
Business Analyst
Business Analysts identify and solve business problems. This course will help you build a foundation in AI and learn how to apply it to real-world business scenarios. This will give you the skills you need to be successful in this role.
Product Manager
Product Manager
Product Managers plan and develop new products. This course will help you build a foundation in AI and learn how to apply it to real-world business scenarios. This will give you the skills you need to be successful in this role, especially if you want to work on AI-powered products.
Project Manager
Project Manager
Project Managers plan and execute projects. This course will help you build a foundation in AI and learn how to apply it to real-world business scenarios. This will give you the skills you need to be successful in this role, especially if you are working on AI-related projects.
Software Engineer
Software Engineer
Software Engineers design, develop, and maintain software systems. This course will help you build a foundation in AI and learn how to apply it to real-world business scenarios. This will give you the skills you need to be successful in this role, especially if you are working on AI-powered software.
Quantitative Analyst
Quantitative Analyst
Quantitative Analysts use mathematical and statistical methods to analyze data and make predictions. This course will help you build a foundation in AI and learn how to apply it to real-world business scenarios. This will give you the skills you need to be successful in this role, especially if you are working on AI-powered financial models.
Operations Research Analyst
Operations Research Analyst
Operations Research Analysts use mathematical and analytical techniques to solve business problems. This course will help you build a foundation in AI and learn how to apply it to real-world business scenarios. This will give you the skills you need to be successful in this role, especially if you are working on AI-powered optimization problems.
Management Consultant
Management Consultant
Management Consultants help businesses solve problems and improve their performance. This course will help you build a foundation in AI and learn how to apply it to real-world business scenarios. This will give you the skills you need to be successful in this role, especially if you are working on AI-related consulting projects.
Data Architect
Data Architect
Data Architects design and manage data systems. This course will help you build a foundation in AI and learn how to apply it to real-world business scenarios. This will give you the skills you need to be successful in this role, especially if you are working on AI-powered data systems.
Chief Technology Officer
Chief Technology Officer
Chief Technology Officers are responsible for the technology strategy and operations of a company. This course will help you build a foundation in AI and learn how to apply it to real-world business scenarios. This will give you the skills you need to be successful in this role, especially if you are working on AI-related technology initiatives.
Chief Information Officer
Chief Information Officer
Chief Information Officers are responsible for the information technology systems and operations of a company. This course will help you build a foundation in AI and learn how to apply it to real-world business scenarios. This will give you the skills you need to be successful in this role, especially if you are working on AI-related IT initiatives.
Chief Data Officer
Chief Data Officer
Chief Data Officers are responsible for the data strategy and operations of a company. This course will help you build a foundation in AI and learn how to apply it to real-world business scenarios. This will give you the skills you need to be successful in this role, especially if you are working on AI-related data initiatives.
For more career information including salaries, visit:
OpenCourser.com/course/t84pw4/build
Reading list
We've selected 19 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
Build and Execute an Organisational AI Strategy.
Provides a comprehensive overview of AI and its applications across various industries. It discusses the benefits and challenges of AI, making it a valuable resource for understanding the basics of AI and its potential impact on organizations.
Save
Provides a practical guide to implementing AI in businesses, covering topics such as strategy, data, and talent. It is essential reading for business leaders who want to understand and leverage AI to gain a competitive advantage.
Save
This textbook comprehensive guide to deep learning, a subfield of AI that has revolutionized many industries. It is essential reading for anyone who wants to understand and apply deep learning techniques.
Provides a collection of case studies from companies that have successfully implemented AI. It offers practical insights and best practices for businesses that want to leverage AI to achieve their goals.
Examines the impact of AI on the workplace and explores strategies for organizations to adapt and thrive in an AI-driven world.
Provides a practical guide to digital transformation, helping businesses to develop and implement a strategy for success in the digital age. It valuable resource for executives who want to leverage AI and other digital technologies to drive growth and innovation.
Save
Explores the potential implications of AI and other emerging technologies for humanity. It offers a thought-provoking perspective on the future of human society.
Save
Explores the impact of AI on the workplace and the future of work. It provides insights for individuals and organizations who want to prepare for and thrive in the AI era.
This classic book explores the challenges that large organizations face when trying to innovate. It provides valuable insights for executives who want to avoid the pitfalls of disruption and embrace the opportunities of AI.
Provides a practical guide to implementing the Lean Startup methodology, which is designed to help startups build and validate their products and services quickly and efficiently. It valuable resource for AI entrepreneurs who want to bring their innovations to market quickly and effectively.
Provides a comprehensive overview of the Fourth Industrial Revolution, which is characterized by the convergence of digital, physical, and biological technologies. It explores the impact of this revolution on businesses, societies, and individuals.
Offers a hands-on approach to building AI models using Python libraries such as Fastai and PyTorch. It assumes some programming knowledge, making it suitable for learners with a technical background.
Offers a non-technical introduction to AI. It explains AI concepts in plain language and provides historical context, making it accessible to learners with diverse backgrounds.
Explores the ethical implications of AI and discusses issues such as privacy, bias, and accountability.
Collection of articles from Harvard Business Review on the topic of AI in business. It provides insights on how organizations can leverage AI to gain competitive advantage.
This report from the World Economic Forum examines the impact of AI on the workplace and discusses strategies for organizations and governments to prepare for the future.
Provides a technical and philosophical exploration of the ethics of AI algorithms. It covers topics such as fairness, accountability, and transparency.
Comprehensive textbook on AI that covers theoretical foundations, algorithms, and applications. It is suitable for learners with a strong background in mathematics and computer science.
Comprehensive textbook on reinforcement learning. It covers topics such as Markov decision processes, value functions, and reinforcement learning algorithms. It is suitable for learners with a strong background in mathematics and computer science.
For more information about how these books relate to this course, visit:
OpenCourser.com/course/t84pw4/build
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Level
Intermediate
Via
Coursera
Institution
Coursera Instructor Network
Instructors
Veronica Moran
Fatima Bdair
Language
English
Good to know
Can help executives adopt AI to transform their businesses and become more competitive
Provides a practical approach to AI strategy development and implementation
Suitable for executives with existing knowledge of AI and strategic planning
Emphasis on ethical and regulatory compliance ensures responsible AI adoption
Led by experienced technology and innovation expert, Veronica Moran
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