Page 78 - AI & Machine Learning for Beginners: A Guided Workbook

Goal Setting – Defining Your AI Learning Objectives

To effectively build AI literacy, it helps to set SMART goals—ones
that are Specific, Measurable, Achievable, Relevant, and Time-
bound.

SMART vs. Non-SMART AI Learning Goals

SMART Goal Example:

"Complete an introductory AI/ML course on Coursera

within the next 3 months and apply learned concepts by
building a simple ML model." (Specific: Taking a course,
Measurable: Course completion, Achievable: Beginner-friendly
course, Relevant: Supports AI literacy, Time-bound: 3 months)
Non-SMART Goal Example:

"Become an AI expert someday." (This lacks specificity, a

measurable outcome, and a clear timeframe.)
Your AI Learning Goals
Think about what you hope to achieve by increasing

your AI literacy. Define 1-2 SMART goals for your learning
journey:
Goal 1:

(Specific) ______________________________________________________________,
(Measurable) __________________________________________________________,
(Achievable) ___________________________________________________________,
(Relevant) _____________________________________________________________,
(Time-bound) _________________________________________________________.
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