Planning AI Implementation

Artificial Intelligence    |    Beginner
  • 13 Videos | 49m 40s
  • Includes Assessment
  • Earns a Badge
Likes 45 Likes 45
This 13-video course explores how artificial intelligence (AI) can be leveraged, how to plan an AI implementation from setup to architecture, and the issues surrounding incorporating it into an enterprise for machine learning. Learners will explore the three legs of AI: how it applies intelligence-like behavior to machines. You will then examine how machine learning adds to this intelligence-like behavior, and the next generation with deep learning. This course discusses strategies for implementation of AI, organizational challenges surrounding the adoption of AI, and the need for training of both personnel and machines. Next, learn the role of data and algorithms in AI implementation. Learners continue by examining several ways in which an organization can plan and develop AI capability; the elements organizations need to understand how to assess AI needs and tools; management challenges; and the impact on personnel. You will learn about pitfalls in using AI, and what to avoid. Finally, you will learn about data issues, data quality, training concepts, overfitting, and bias.

WHAT YOU WILL LEARN

  • describe how adopting an AI strategy requires proper expectations and buy-in
    specify the various organizational challenges surrounding the adoption of AI
    describe personnel training and how an AI implementation requires training
    describe the role that data and algorithms play in an organizational AI implementation
    specify why AI is commonly misinterpreted as substitution for personnel and how it should be considered as a complement to personnel
    describe the ways that an organization can plan and develop AI capability
  • describe the challenges facing management when developing an AI solution and how it can impact personnel
    specify the pitfalls of AI and why they should be avoided
    describe the common elements of an organizational AI strategy
    specify the various issues surrounding data, data quality, and the concepts of training, overfitting, and bias
    describe the elements organizations need to understand in order to assess AI needs and tools
    discuss the various aspects of AI an organization needs to address to plan for AI

IN THIS COURSE

  • Playable
    1. 
    Course Overview
    1m 15s
    UP NEXT
  • Playable
    2. 
    Setting Expectations
    4m 54s
  • Locked
    3. 
    Challenges of AI
    2m 55s
  • Locked
    4. 
    The Importance of Training
    6m 31s
  • Locked
    5. 
    The Need for Data and Algorithms
    3m 27s
  • Locked
    6. 
    Understanding the Human Problem
    3m 26s
  • Locked
    7. 
    Developing Organizational Capability
    3m 18s
  • Locked
    8. 
    Management Challenges
    3m 47s
  • Locked
    9. 
    Avoiding AI Pitfalls
    5m 5s
  • Locked
    10. 
    Developing a Strategy
    2m 15s
  • Locked
    11. 
    Data Quality
    1m 54s
  • Locked
    12. 
    AI Needs and Tools
    3m 1s
  • Locked
    13. 
    Exercise: Describe AI Planning Considerations
    2m 22s

EARN A DIGITAL BADGE WHEN YOU COMPLETE THIS COURSE

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Digital badges are yours to keep, forever.

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