The AI Ladder: A Framework for Deploying AI in your Enterprise from Coursera

What's inside

Syllabus

Introduction to AI and the AI Ladder

This course is designed for business and technical leaders who are considering AI-based solutions for business challenges in their enterprises. First, this course will provide learners with a business-oriented summary of today's technologies and themes in AI. Following this summary, we will cover the concept of modernizing your information architecture (IA), summarized in the phrase, "...there is no AI without IA". Most people think implementing AI is all about using AI technologies, but the reality is quite different. While you may be able to build small AI projects just focusing on AI technologies, the projects that will have the most impact on your business will require you to leverage not just AI technologies but other technologies related to data: your information architecture. Next, learners will be introduced to the concept of the AI Ladder. The AI Ladder is a framework for understanding the work and processes that are necessary for the successful deployment of AI-based solutions in large enterprises. This course will cover each step of the AI Ladder, explaining the relevance of each step and the work involved at each step. After completing this course learners will be equipped with a powerful set of strategic tools to use in successfully developing, deploying, and maintaining AI-based business solutions.

Good to know

Know what's good

, what to watch for

, 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

Reviews summary

Ibm enterprise ai implementation framework

Learners say this thoughtful, well-structured course provides a simplified framework to implement AI in business. This is a great course for non-technical professionals who want to understand how AI can be integrated into their organizations to drive business and make informed decisions. The concepts are easy to understand, thanks to real-world examples and case studies.

Instructor is engaging and well-spoken.

"Excellent course for those who want to explore Business Aspects of Artificial Intelligence"

"Ray Lopez made the material sound authentic, and natural."

"Ray Lopez, Ph.D. did a fantastic job!"

Step-by-step guide to deploying AI in business.

"Learned a lot. Great<br>Course."

"Excellent course for those who want to explore Business Aspects of Artificial Intelligence"

"This course is so excited. As a high school student, I felt it is very much useful for my future endeavors."

Concepts are supported by practical examples.

"This course is so excited. As a high school student, I felt it is very much useful for my future endeavors."

"Real-world examples<br>of AI in business."

"The use of stories aids in communicating the concepts and applications, adding depth and resonance to the learning experience."

Concepts are easy to understand.

"Very well structured, easy to understand - and very valuable content."

"The AI Ladder course is very informative and presented in a very simplified and effective manner."

"The material is delivered with a simple, repetitive structural pattern, making it easy to grasp the concepts being presented."

Some learners find the content to be boring.

"I was left wanting in this course"

"The content is good however the videos are terribly boring."

"There are no subtitles other than English. From the pros: fast and clear."

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

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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

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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

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Completing guided tutorials on the AI Ladder framework will provide you with a structured approach for understanding and implementing AI solutions in your enterprise.

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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

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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

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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

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Practice applying the AI Ladder framework to real-world business cases

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Practicing applying the AI Ladder framework to real-world scenarios will enhance your ability to identify and solve business challenges using AI.

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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

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

See salaries and explore the career path for Data Scientist

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.

See salaries and explore the career path for Machine Learning Engineer

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.

See salaries and explore the career path for Data Architect

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.

See salaries and explore the career path for Business Analyst

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.

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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.

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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.

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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.

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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.

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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.

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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.

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