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Mark J Grover
and
Ray Lopez, Ph.D.
This course is intended for business and technical professionals involved in strategic decision-making focused on bringing AI into their enterprises. Through the use of a conceptual model called “The AI Ladder”, participants in this course will learn the requirements, terms and concepts associated with successfully developing and deploying AI solutions in their enterprises. After completing this course you will be able to explain and describe each of the steps required to ensure success when you build and deploy AI solutions in your business enterprise.
Register for this course and see more details by visiting:
OpenCourser.com/course/ps86gc/the
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What's inside
Syllabus
Traffic lights
Traffic lights
Read about what's good
what should give you pause and
possible dealbreakers
Introduces learners to AI technologies and emphasizes the importance of data architecture when implementing AI solutions
Provides a structured framework (AI Ladder) for understanding the steps involved in successful AI deployment
Helps learners identify the requirements and concepts associated with AI solutions
Suitable for both business and technical professionals involved in strategic decision making related to AI
Taught by experienced instructors (Mark J Grover and Ray Lopez) recognized for their expertise in AI
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Reviews summary
Strategic ai deployment framework
According to students, "The AI Ladder" offers a clear and practical framework for deploying AI in enterprises. Learners particularly commend its focus on information architecture, highlighted by the critical insight that 'there is no AI without IA,' which many found invaluable and often overlooked in other courses. While the course provides a solid strategic overview, it is intentionally high-level, making it ideal for business and technical leaders but less suited for those seeking deep technical dives. Recent feedback indicates the content remains highly relevant, suggesting continuous updates have addressed earlier concerns about outdated material.
Content appears current, addressing earlier concerns.
"Outdated examples and some of the technology references feel a bit old. The core framework is okay, but the supporting content needs an update."
"The course content was well-organized and presented clearly. The material is highly relevant for today's enterprise challenges."
"I found the course content current and applicable to modern enterprise needs, suggesting it has been updated since earlier reviews."
Instructor explains complex ideas in an understandable way.
"The instructor explained complex ideas in an understandable way."
"The lectures were clear and the concepts well-articulated."
"The instructor was excellent and made the content easy to follow."
Highlights the critical role of data and IA in AI success.
"I appreciated the focus on information architecture, which many other courses neglect."
"The 'no AI without IA' concept was particularly insightful."
"The focus on data readiness and governance (IA) is invaluable for my work."
Provides a practical, enterprise-level AI deployment model.
"Excellent course for understanding the strategic aspects of AI deployment. The AI Ladder framework is incredibly practical..."
"Truly helped me connect the dots between data strategy and AI deployment. The AI Ladder provides a clear roadmap."
"I learned a lot about structuring AI projects from a business perspective. This is essential for anyone leading AI initiatives."
A strategic overview, not a deep technical dive.
"Some sections felt a bit high-level, but that's expected for an executive-focused course."
"It's definitely more for the business side than for technical architects. I didn't get hands-on guidance."
"This was too high-level for me; I already knew most of this from general business reading."
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 The AI Ladder: A Framework for Deploying AI in your Enterprise with these
activities:
Review the basics of machine learning and AI
Show steps
Refreshing your foundational understanding of machine learning and AI will provide a solid basis for learning more advanced concepts covered in this course.
Browse courses on
Machine Learning
Show steps
-
Review online tutorials or articles on machine learning and AI fundamentals.
-
Go through lecture notes or textbooks from previous courses or resources on these topics.
Complete online tutorials on the AI Ladder framework
Show steps
Completing guided tutorials on the AI Ladder framework will provide you with a structured approach for understanding and implementing AI solutions in your enterprise.
Show steps
-
Enroll in online courses or workshops that offer tutorials on the AI Ladder framework.
-
Follow along with video tutorials or demonstrations on how to apply the AI Ladder in real-world scenarios.
Attend a workshop on AI implementation and best practices
Show steps
Attending a workshop on AI implementation and best practices will expose you to practical insights and strategies used by industry experts.
Browse courses on
AI Implementation
Show steps
-
Research and identify relevant workshops or conferences on AI implementation and best practices.
-
Register for and attend the workshop, actively participating in discussions and taking notes.
One other activity
Expand to see all activities and additional details
Show all four activities
Practice applying the AI Ladder framework to real-world business cases
Show steps
Practicing applying the AI Ladder framework to real-world scenarios will enhance your ability to identify and solve business challenges using AI.
Show steps
-
Identify a specific business problem or opportunity that could benefit from AI solutions.
-
Map the problem or opportunity to the appropriate step(s) in the AI Ladder framework.
-
Develop a plan for implementing an AI solution based on the AI Ladder framework.
-
Evaluate the effectiveness of your AI solution and make adjustments as needed.
Review the basics of machine learning and AI
Show steps
Refreshing your foundational understanding of machine learning and AI will provide a solid basis for learning more advanced concepts covered in this course.
Browse courses on
Machine Learning
Show steps
Show steps
Show steps
- Review online tutorials or articles on machine learning and AI fundamentals.
- Go through lecture notes or textbooks from previous courses or resources on these topics.
Complete online tutorials on the AI Ladder framework
Show steps
Completing guided tutorials on the AI Ladder framework will provide you with a structured approach for understanding and implementing AI solutions in your enterprise.
Show steps
Show steps
Show steps
- Enroll in online courses or workshops that offer tutorials on the AI Ladder framework.
- Follow along with video tutorials or demonstrations on how to apply the AI Ladder in real-world scenarios.
Attend a workshop on AI implementation and best practices
Show steps
Attending a workshop on AI implementation and best practices will expose you to practical insights and strategies used by industry experts.
Browse courses on
AI Implementation
Show steps
Show steps
Show steps
- Research and identify relevant workshops or conferences on AI implementation and best practices.
- Register for and attend the workshop, actively participating in discussions and taking notes.
One other activity
Expand to see all activities and additional details
Show all four activities
Practice applying the AI Ladder framework to real-world business cases
Show steps
Practicing applying the AI Ladder framework to real-world scenarios will enhance your ability to identify and solve business challenges using AI.
Show steps
Show steps
Show steps
- Identify a specific business problem or opportunity that could benefit from AI solutions.
- Map the problem or opportunity to the appropriate step(s) in the AI Ladder framework.
- Develop a plan for implementing an AI solution based on the AI Ladder framework.
- Evaluate the effectiveness of your AI solution and make adjustments as needed.
Career center
Learners who complete The AI Ladder: A Framework for Deploying AI in your Enterprise will develop knowledge and skills
that may be useful to these careers:
Data Scientist
Data Scientist
The AI Ladder: A Framework for Deploying AI in Your Enterprise is a good starting point for aspiring Data Scientists. The course offers an overview of different AI technologies and their business applications. Additionally, the AI Ladder framework provides a step-by-step guide that can help you successfully implement AI-based solutions in your organization
Machine Learning Engineer
Machine Learning Engineer
The course can be helpful for Machine Learning Engineers who want to gain a better understanding of the business context and considerations for deploying AI solutions. The AI Ladder framework can help you communicate with stakeholders and ensure that your ML projects are aligned with business objectives.
Data Architect
Data Architect
The AI Ladder framework provides guidance on data architecture and information management practices that are essential for successful AI deployments. By understanding the importance of data quality, data governance, and data integration, you'll be well-equipped to design and implement data architectures that support AI initiatives in your organization.
Business Analyst
Business Analyst
The course provides a solid foundation for Business Analysts who want to work on AI projects. It offers an overview of AI technologies, their business applications, and the AI Ladder framework. This framework can help you understand the business value of AI and how to evaluate and prioritize AI projects.
AI Consultant
AI Consultant
The course can provide valuable insights for AI Consultants who work with clients to develop and implement AI solutions. The AI Ladder framework can help you guide clients through the process of identifying, evaluating, and implementing AI solutions that meet their business needs.
Product Manager
Product Manager
The AI Ladder framework can aid Product Managers in understanding the technical and business aspects of AI. The course will help you develop AI-powered products that meet customer needs while aligning with your organization's goals.
Data Engineer
Data Engineer
The course provides insights into the data engineering practices that are essential for successful AI deployments. It covers topics such as data collection, data cleaning, and data transformation, which can help you build a strong foundation in data engineering for AI.
Software Engineer
Software Engineer
The course can be beneficial for Software Engineers who want to develop AI-based software applications. The AI Ladder framework provides guidance on the software development process for AI solutions, including requirements gathering, design, implementation, and testing.
Business Intelligence Analyst
Business Intelligence Analyst
The course can provide valuable insights for Business Intelligence Analysts who want to use AI to enhance their analysis and reporting. The AI Ladder framework can help you identify opportunities for AI-driven insights and develop effective strategies for implementing AI in your organization.
Project Manager
Project Manager
The AI Ladder framework can help Project Managers understand the key steps involved in planning and executing AI projects. The course can provide insights into the challenges and risks associated with AI projects and how to mitigate them effectively.
IT Manager
IT Manager
The course can be beneficial for IT Managers who oversee the implementation and management of AI solutions in their organizations. The AI Ladder framework provides a roadmap for successful AI deployments, including infrastructure requirements, security considerations, and change management strategies.
For more career information including salaries, visit:
OpenCourser.com/course/ps86gc/the
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
The AI Ladder: A Framework for Deploying AI in your Enterprise.
Save
Is the definitive reference on deep learning, covering everything from the basics to the latest research. It must-read for anyone looking to learn more about this rapidly growing field.
Provides a comprehensive introduction to convex optimization, covering a wide range of topics from the basics to the latest research. It great resource for anyone looking to learn more about the mathematical foundations of convex optimization.
Comprehensive introduction to statistical learning, covering a wide range of topics from linear regression to support vector machines. It great resource for anyone looking to learn more about the mathematical foundations of machine learning.
Comprehensive introduction to pattern recognition and machine learning, covering a wide range of topics from Bayesian networks to deep learning. It great resource for anyone looking to learn more about the mathematical foundations of machine learning.
Provides a comprehensive introduction to reinforcement learning, covering a wide range of topics from the basics to the latest research. It great resource for anyone looking to learn more about the mathematical foundations of reinforcement learning.
Provides a hands-on introduction to machine learning using Python. It covers a wide range of topics, from data preprocessing to model evaluation. It great resource for anyone looking to learn more about how to use machine learning in practice.
Provides a practical guide to deep learning using Fastai and PyTorch. It covers a wide range of topics, from data preprocessing to model training. It great resource for anyone looking to learn more about how to build and train deep learning models.
Provides a practical guide to data science for business leaders. It covers a wide range of topics, from data collection and preparation to model building and deployment. It great resource for anyone looking to learn more about how data science can be used to improve business outcomes.
Provides a comprehensive overview of information architecture, covering everything from the basics to the latest trends. It great resource for anyone looking to learn more about how to design and organize information effectively.
For more information about how these books relate to this course, visit:
OpenCourser.com/course/ps86gc/the
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Level
Introductory
Via
Coursera
Institution
IBM
Instructors
Mark J Grover
Ray Lopez, Ph.D.
Language
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آذربایجان دیلی
This course belongs to a
collection
called
IBM AI Foundations for Business. It's comprised of two courses:
- The AI Ladder: A Framework for Deploying AI in your Enterprise (viewing)
- Introduction to Artificial Intelligence (AI)
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