Planning AI Implementation
Artificial Intelligence
| Beginner
- 13 Videos | 44m 10s
- Includes Assessment
- Earns a Badge
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
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describe how adopting an AI strategy requires proper expectations and buy-inspecify the various organizational challenges surrounding the adoption of AIdescribe personnel training and how an AI implementation requires trainingdescribe the role that data and algorithms play in an organizational AI implementationspecify why AI is commonly misinterpreted as substitution for personnel and how it should be considered as a complement to personneldescribe the ways that an organization can plan and develop AI capability
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describe the challenges facing management when developing an AI solution and how it can impact personnelspecify the pitfalls of AI and why they should be avoideddescribe the common elements of an organizational AI strategyspecify the various issues surrounding data, data quality, and the concepts of training, overfitting, and biasdescribe the elements organizations need to understand in order to assess AI needs and toolsdiscuss the various aspects of AI an organization needs to address to plan for AI
IN THIS COURSE
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1.Course Overview1m 15sUP NEXT
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2.Setting Expectations4m 54s
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3.Challenges of AI2m 55s
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4.The Importance of Training6m 31s
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5.The Need for Data and Algorithms3m 27s
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6.Understanding the Human Problem3m 26s
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7.Developing Organizational Capability3m 18s
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8.Management Challenges3m 47s
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9.Avoiding AI Pitfalls5m 5s
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10.Developing a Strategy2m 15s
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11.Data Quality1m 54s
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12.AI Needs and Tools3m 1s
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13.Exercise: Describe AI Planning Considerations2m 22s
EARN A DIGITAL BADGE WHEN YOU COMPLETE THIS COURSE
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