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Michael A M Davies
While other programmes are organised around AI technologies, this programme is focused on creating value in your business. Throughout the two phases of this programme, you'll gain a solid understanding of the characteristics of the technology and then work to gain clarity regarding your business challenge and your data source, so you can select the appropriate AI technologies to connect the two.
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What's inside
Syllabus
Module 1: The business value of AI and ML
Module 2: What are AI and ML
Module 3: The possibilities of AI
Read more
Syllabus
Module 1: The business value of AI and ML
Module 2: What are AI and ML
Module 3: The possibilities of AI
Read more
Traffic lights
Traffic lights
Read about what's good
what should give you pause and
possible dealbreakers
Appropriate for learners who want to understand how to use AI technologies to create a value in their business
Facilitates bridging the gap between the characteristics of AI technology and the business challenge and data source
Clarifies how AI can be leveraged to generate value within a business
Builds AI competency within the learners
Requires learners to come in with a solid understanding of the characteristics of AI technology
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Reviews summary
Strategic ai for organizational impact
According to students, this course provides a valuable strategic overview of AI's impact on business, particularly for non-technical professionals and leaders. Learners found it effective in offering actionable insights on how to leverage AI to create business value and foster organizational AI capacity. The course is praised for its clear explanations and structured approach, making complex concepts accessible. However, some learners noted a lack of deep technical detail, suggesting it's more suited for strategic understanding than hands-on implementation. It's considered ideal for those seeking to understand AI's implications for their work and organization without delving into the underlying code.
Provides a strong foundation, but requires further study.
"It's a fantastic starting point for understanding AI's business side, but not a standalone for deep technical roles."
"I now have a clear roadmap for building AI capacity, though further technical exploration will be needed."
"The course sets the stage for strategic thinking; one might need additional resources for implementation details."
Modules are well-organized and delivered by expert instructors.
"The module structure was logical and the content was presented in a highly engaging manner."
"I found the lectures and materials to be very clear and comprehensive, providing a solid foundation."
"The instructors from London Business School provided expert insights and real-world examples, making the learning process effective."
Demystifies AI concepts for non-technical management roles.
"As a non-technical professional, I found the explanations of what AI and ML are incredibly clear and easy to follow."
"The content is designed for strategic thinkers, not engineers, making it accessible to those who need to understand the possibilities of AI for their business."
"It helped me grasp complex AI concepts without needing a technical background, empowering me in discussions about new ways of working."
Offers practical guidance for integrating AI into business strategy.
"The course brilliantly highlights how to leverage AI to create business value, shifting focus from technology to strategy."
"I appreciated the strong emphasis on the business value of AI and ML, which was directly applicable to my role."
"This course is perfect for understanding AI's strategic implications and how to build AI capacity within an organization."
Focuses on strategy, not hands-on AI implementation or coding.
"While excellent for strategy, the course lacks hands-on technical labs or detailed coding examples."
"I was hoping for more practical implementation insights, but it's primarily a high-level strategic overview."
"If you're a data scientist or AI engineer, this course might be too introductory regarding technical aspects."
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 New Ways of Working in an AI World with these
activities:
Review basic statistics and probability concepts
Show steps
Ensure you have a solid foundation in these concepts.
Browse courses on
Statistics
Show steps
-
Review notes or textbooks.
-
Solve practice problems.
Read 'Artificial Intelligence: A Modern Approach'
Show steps
Gain a comprehensive overview of AI and ML concepts and techniques.
View
Melania
on Amazon
Show steps
-
Read assigned chapters.
-
Summarize key concepts.
-
Complete end-of-chapter exercises.
Complete exercises from the textbook
Show steps
Reinforce your understanding of course concepts through repetitive exercises.
Show steps
-
Identify relevant exercises in the textbook.
-
Solve exercises independently.
-
Check your answers and identify areas for improvement.
Two other activities
Expand to see all activities and additional details
Show all five activities
Develop a presentation on a specific AI application
Show steps
Enhance your understanding of AI applications and their impact on businesses.
Browse courses on
AI Applications
Show steps
-
Choose an AI application to research.
-
Gather information on its functionality and business impact.
-
Create slides and prepare a demo (optional).
Build a prototype AI solution for a business problem
Show steps
Apply your knowledge to create a practical AI solution that addresses real-world problems.
Browse courses on
AI Development
Show steps
-
Identify a business problem.
-
Design and develop an AI solution.
-
Test and evaluate the prototype.
-
Document the project.
Review basic statistics and probability concepts
Show steps
Ensure you have a solid foundation in these concepts.
Browse courses on
Statistics
Show steps
Show steps
Show steps
- Review notes or textbooks.
- Solve practice problems.
Read 'Artificial Intelligence: A Modern Approach'
Show steps
Gain a comprehensive overview of AI and ML concepts and techniques.
View
Melania
on Amazon
Show steps
Show steps
Show steps
- Read assigned chapters.
- Summarize key concepts.
- Complete end-of-chapter exercises.
Complete exercises from the textbook
Show steps
Reinforce your understanding of course concepts through repetitive exercises.
Show steps
Show steps
Show steps
- Identify relevant exercises in the textbook.
- Solve exercises independently.
- Check your answers and identify areas for improvement.
Two other activities
Expand to see all activities and additional details
Show all five activities
Develop a presentation on a specific AI application
Show steps
Enhance your understanding of AI applications and their impact on businesses.
Browse courses on
AI Applications
Show steps
Show steps
Show steps
- Choose an AI application to research.
- Gather information on its functionality and business impact.
- Create slides and prepare a demo (optional).
Build a prototype AI solution for a business problem
Show steps
Apply your knowledge to create a practical AI solution that addresses real-world problems.
Browse courses on
AI Development
Show steps
Show steps
Show steps
- Identify a business problem.
- Design and develop an AI solution.
- Test and evaluate the prototype.
- Document the project.
Career center
Learners who complete New Ways of Working in an AI World will develop knowledge and skills
that may be useful to these careers:
Data Scientist
Data Scientist
A Data Scientist uses scientific methods, processes, algorithms, and systems to extract knowledge and insights from data in various forms, both structured and unstructured. This course may be useful as it provides a foundation in the business value of AI and ML, as well as the possibilities and applications of AI.
Machine Learning Engineer
Machine Learning Engineer
A Machine Learning Engineer designs, develops, and maintains machine learning models and systems. This course helps build a foundation in the business value of AI and ML, as well as the possibilities and applications of AI, which may be useful for success in the role.
Artificial Intelligence Architect
Artificial Intelligence Architect
An Artificial Intelligence Architect designs and develops AI systems and solutions. This course helps build a foundation in the business value of AI and ML, as well as the possibilities and applications of AI, which may be useful for success in the role.
Business Analyst
Business Analyst
A Business Analyst analyzes business processes and systems to improve efficiency and effectiveness. This course provides a foundation in the business value of AI and ML, which may be useful in understanding the potential of AI to improve business outcomes.
Product Manager
Product Manager
A Product Manager manages the development and launch of new products and services. This course helps build a foundation in the business value of AI and ML, as well as the possibilities and applications of AI, which may be useful for success in the role.
Data Analyst
Data Analyst
A Data Analyst collects, analyzes, and interprets data to identify trends and patterns. This course helps build a foundation in the business value of AI and ML, as well as the possibilities and applications of AI, which may be useful for success in the role.
Software Engineer
Software Engineer
A Software Engineer designs, develops, and maintains software systems. This course helps build a foundation in the business value of AI and ML, as well as the possibilities and applications of AI, which may be useful for success in the role.
Project Manager
Project Manager
A Project Manager plans, executes, and closes projects. This course provides a foundation in the business value of AI and ML, which may be useful in understanding the potential of AI to improve project outcomes.
Consultant
Consultant
A Consultant provides advice and guidance to organizations on a variety of topics. This course provides a foundation in the business value of AI and ML, which may be useful in understanding the potential of AI to improve organizational performance.
Marketing Manager
Marketing Manager
A Marketing Manager develops and executes marketing campaigns to promote products and services. This course helps build a foundation in the business value of AI and ML, as well as the possibilities and applications of AI, which may be useful for success in the role.
Sales Manager
Sales Manager
A Sales Manager leads and manages a team of sales professionals to achieve sales goals. This course provides a foundation in the business value of AI and ML, which may be useful in understanding the potential of AI to improve sales performance.
Operations Manager
Operations Manager
An Operations Manager plans, organizes, and manages the daily operations of an organization. This course provides a foundation in the business value of AI and ML, which may be useful in understanding the potential of AI to improve operational efficiency.
Financial Analyst
Financial Analyst
A Financial Analyst analyzes financial data to make investment recommendations. This course provides a foundation in the business value of AI and ML, which may be useful in understanding the potential of AI to improve investment performance.
Human Resources Manager
Human Resources Manager
A Human Resources Manager plans and executes HR programs and initiatives. This course provides a foundation in the business value of AI and ML, which may be useful in understanding the potential of AI to improve HR outcomes.
Supply Chain Manager
Supply Chain Manager
A Supply Chain Manager plans, organizes, and manages the flow of goods and services. This course provides a foundation in the business value of AI and ML, which may be useful in understanding the potential of AI to improve supply chain performance.
For more career information including salaries, visit:
OpenCourser.com/course/u4fohw/new
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
New Ways of Working in an AI World.
A foundational work on RL, this book provides a comprehensive overview of the algorithms and techniques used in RL systems, making it a valuable reference for advanced learners.
Save
A foundational work in the field of DL, this book covers the architectures, algorithms, and applications of DL models, providing a valuable reference for advanced learners.
A beginner-friendly introduction to the foundations of AI and ML, this book provides a solid background for understanding the course concepts.
A hands-on guide to implementing DL models using Python, this book provides practical insights into the coding and implementation aspects of AI systems.
Save
A practical guide to leveraging AI for business advantage, this book offers insights into how organizations can adopt and implement AI technologies effectively.
Save
A thought-provoking exploration of the history and future of AI, this book provides a broad perspective on the potential impact of AI on society and the economy.
An exploration of the ethical and societal implications of AI, this book examines the challenges and opportunities of developing AI systems that are aligned with human values.
An examination of the challenges of aligning AI systems with human values, this book offers insights into the philosophical and technical complexities of developing AI systems that are ethically and socially responsible.
A comprehensive examination of the ethical considerations surrounding AI development and deployment, this book offers a valuable resource for understanding the ethical implications of AI systems.
For more information about how these books relate to this course, visit:
OpenCourser.com/course/u4fohw/new
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Level
Intermediate
Via
Coursera
Institution
London Business School
Instructor
Michael A M Davies
Language
English
This course belongs to a
collection
called
Future Ready Company. It's comprised of four courses:
- Business for Good: Fundamentals of Corporate Responsibility
- New Ways of Working in an AI World (viewing)
- Introduction to Digital Transformation: Change & Disruption
- Agile Organisation: Strategies for Business Resilience
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