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Optimize Python for Agentic AI

LearningMate

Instructor: LearningMate

Included with Coursera Plus

Gain insight into a topic and learn the fundamentals.
Intermediate level

Recommended experience

2 hours to complete
Flexible schedule
Learn at your own pace
Gain insight into a topic and learn the fundamentals.
Intermediate level

Recommended experience

2 hours to complete
Flexible schedule
Learn at your own pace

What you'll learn

  • Refactor Python code for AI agents to improve readability and performance. Apply coding standards and use profiling to optimize bottlenecks.

Details to know

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Recently updated!

December 2025

Assessments

3 assignments¹

AI Graded see disclaimer
Taught in English

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This course is part of the Agentic AI Development & Security Specialization
When you enroll in this course, you'll also be enrolled in this Specialization.
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There are 2 modules in this course

You start by understanding how professional AI systems depend not only on smart logic but also on clean, readable Python. When deadlines hit, messy code slows teams down. This module shows you why clarity and consistency matter for maintainability and collaboration. You will refactor a memory manager from an AI agent, practice adding type hints and docstrings, and run style checks with flake8. You will see how these conventions keep complex AI projects manageable—and you will apply them to produce production-quality Python.

What's included

2 videos1 reading1 assignment1 ungraded lab

Now that your code reads cleanly, it is time to make it run fast. Performance problems often hide in unexpected places. You will learn when to profile, how to interpret profiler data, and how to refactor Python for efficiency. By the end of this module, you will replace inefficient regex calls and confirm improvements through benchmarks. You will close the course by combining maintainability with performance in a final strategy report.

What's included

2 videos2 readings2 assignments1 ungraded lab

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LearningMate
Coursera
62 Courses653 learners

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¹ Some assignments in this course are AI-graded. For these assignments, your data will be used in accordance with Coursera's Privacy Notice.