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

  • 4.7
Approx. 3 hours to complete

Course Summary

The IBM AI Ladder Framework is a comprehensive approach to implementing AI in any organization. This course covers the framework and its five stages, as well as the tools and techniques needed to succeed in each stage.

Key Learning Points

  • The AI Ladder Framework covers five stages of AI implementation: Business Strategy, Data Foundation, AI Models, Operations, and Scale.
  • The course provides practical guidance on each stage, including tools and techniques for success.
  • Through case studies and real-world examples, learners will gain a better understanding of the AI Ladder Framework in action.

Related Topics for further study


Learning Outcomes

  • Understand the IBM AI Ladder Framework and its five stages
  • Learn practical tools and techniques for successful AI implementation
  • Apply the AI Ladder Framework to real-world scenarios

Prerequisites or good to have knowledge before taking this course

  • Basic understanding of AI concepts
  • Familiarity with business strategy and operations

Course Difficulty Level

Intermediate

Course Format

  • Online
  • Self-paced

Similar Courses

  • Applied AI with DeepLearning
  • Building AI Applications

Related Education Paths


Notable People in This Field

  • Andrew Ng
  • Fei-Fei Li

Related Books

Description

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.

Outline

  • Introduction to AI and the AI Ladder
  • Course Introduction and Overview
  • IBM's position on the journey to AI
  • Our Story: Fundamentals of AI
  • Our Story: Machine Learning
  • Our Story: AI Specializations
  • Our Story: Example from Amsel Health
  • Summary: AI is about three things
  • No AI Without IA Introduction
  • Value Proposition
  • Our Story: No AI Without IA
  • Collect Data Introduction
  • Ladder to AI: Collect
  • Our Story: Collect Data
  • Organize Data Introduction
  • Ladder to AI: Organize
  • Our Story: Organize Data
  • Analyze Data Introduction
  • Ladder to AI: Analyze
  • Our Story: Analyze Data
  • Infuse AI Introduction
  • Ladder to AI: Infuse
  • Our Story: Infuse AI
  • What is IBM Watson? (in case you are curious)
  • Accelerate your journey to AI!
  • Drivers of AI
  • A helpful framework for understanding the next video
  • Modernizing your information architecture
  • Collect: Making data simple and accessible
  • Organizing your data
  • Analyzing your data
  • Infuse AI
  • Where are you on your Journey to AI? (interactive)
  • Introduction to AI and the AI Ladder: Summary/Review
  • Check for Understanding: Introduction to the AI Ladder and Fundamentals of AI
  • Check for Understanding: No AI Without IA
  • Check for Understanding: Collect Data
  • Check for Understanding: Organize Data
  • Check for Understanding: Analyze Data
  • Check for Understanding: Infuse AI
  • End of Module Quiz: Introduction to AI and the AI Ladder

Summary of User Reviews

Discover the IBM AI Ladder Framework and learn how to create an AI strategy that delivers business value. Users are raving about this course, citing its comprehensive curriculum and practical approach to AI implementation.

Key Aspect Users Liked About This Course

The course provides a practical approach to AI implementation that helps learners create an AI strategy that delivers business value.

Pros from User Reviews

  • Comprehensive curriculum that covers all aspects of the AI Ladder Framework
  • Practical approach to AI implementation that helps learners apply the concepts to their work
  • Engaging and knowledgeable instructors who provide clear explanations and examples
  • Opportunities to collaborate and learn from other students in the course

Cons from User Reviews

  • Some users found the course material to be too technical or advanced for beginners
  • The course may require a significant time commitment to complete
  • The course does not provide hands-on experience with AI tools or technologies
  • Some users found the assessments to be too challenging or unclear
  • The course may not be suitable for those looking for an overview of AI concepts rather than a deep dive into implementation
English
Available now
Approx. 3 hours to complete
Mark J Grover, Ray Lopez, Ph.D.
IBM
Coursera

Instructor

Mark J Grover

  • 4.7 Raiting
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