Learn how to select the right AI solution type by distinguishing when rule-based automation fits better than AI, and when an agent's autonomy and tool use make it the right approach. You will also cover how multi-agent patterns are orchestrated, why deployed systems need monitoring for model drift, and how a transparent tool classification framework limits shadow AI risk.
AI Business - AI Solutions and Enterprise Considerations
AI Business - AI Solutions and Enterprise Considerations
This course is part of AWS AI Business Strategist Professional Certificate
Instructor: AWS Instructor
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Gain insight into a topic and learn the fundamentals.
Beginner level
Recommended experience
1 hour to complete
Flexible schedule
Learn at your own pace
What you'll learn
Determine when rule-based automation is the right answer and when AI is the right answer
Explain why AI systems need ongoing monitoring and identify the warning signs of drift
Establish a Shadow AI tool classification framework and recommend governance actions
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Recently updated!
October 2026
Assessments
6 assignments
Taught in English
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This course is part of the AWS AI Business Strategist Professional Certificate
When you enroll in this course, you'll also be enrolled in this Professional Certificate.
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There is 1 module in this course
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