By the end of this course, learners will be able to explain core Artificial Intelligence concepts, apply Python libraries for numerical computing, and analyze data using professional visualization techniques with confidence.
Apply Artificial Intelligence Using Python for Beginners
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Gain insight into a topic and learn the fundamentals.
Beginner level
Recommended experience
7 hours to complete
Flexible schedule
Learn at your own pace
What you'll learn
Explain core Artificial Intelligence concepts and how Python supports AI workflows.
Apply NumPy for numerical computing and data manipulation.
Analyze and visualize data using Matplotlib and Seaborn to identify patterns and insights.
Skills you'll gain
Details to know
Shareable certificate
Add to your LinkedIn profile
Recently updated!
January 2026
Assessments
9 assignments
Taught in English
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There are 3 modules in this course
This module introduces learners to the fundamentals of Artificial Intelligence using Python, guiding them through course orientation, environment setup, and core numerical computing concepts required for AI and data analysis.
What's included
6 videos3 assignments
This module focuses on transforming data into meaningful visual insights by introducing core Python visualization libraries and teaching learners how to create and customize plots for data analysis and interpretation.
What's included
6 videos3 assignments
This module advances learners’ data visualization skills by leveraging Seaborn to create statistical and relational plots that support exploratory data analysis and AI-driven insights.
What's included
5 videos3 assignments
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