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Korea Advanced Institute of Science and Technology(KAIST)
Practical Python for AI Coding 1
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  2. Computer Science
  3. Software Development

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Korea Advanced Institute of Science and Technology(KAIST)

Practical Python for AI Coding 1

Youngsun Kwon

Instructor: Youngsun Kwon

11,485 already enrolled

Included with Coursera Plus

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Learn more

7 modules
Gain insight into a topic and learn the fundamentals.
4.6

(86 reviews)

Beginner level

Recommended experience

Recommended experience

Beginner level

No experience in coding is required, so all are welcome!

1 week to complete
at 10 hours a week
Flexible schedule
Learn at your own pace

7 modules
Gain insight into a topic and learn the fundamentals.
4.6

(86 reviews)

Beginner level

Recommended experience

Recommended experience

Beginner level

No experience in coding is required, so all are welcome!

1 week to complete
at 10 hours a week
Flexible schedule
Learn at your own pace
  • About
  • Modules
  • Recommendations
  • Testimonials
  • Reviews

Skills you'll gain

  • Computer Programming Tools
  • Python Programming
  • Development Environment
  • Integrated Development Environments
  • Data Manipulation
  • Tensorflow
  • Keras (Neural Network Library)
  • Programming Principles
  • Data Structures
  • Jupyter
  • Program Development
  • Artificial Intelligence and Machine Learning (AI/ML)
  • Artificial Intelligence
  • NumPy

Details to know

Shareable certificate

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Assessments

7 assignments

Taught in English

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There are 7 modules in this course

Introduction video: https://youtu.be/TRhwIHvehR0

This course is for a complete novice of Python coding, so no prior knowledge or experience in software coding is required. This course selects, introduces, and explains Python syntaxes, functions, and libraries that were frequently used in AI coding. In addition, this course introduces vital syntaxes, and functions often used in AI coding and explains the complementary relationship among NumPy, Pandas, and TensorFlow, so this course is helpful for even seasoned python users. This course starts with building an AI coding environment without failures on learners’ desktop or notebook computers to enable them to start AI modeling and coding with Scikit-learn, TensorFlow, and Keras upon completing this course. Because learners have an AI coding environment on their computers after taking this course, they can start AI coding and do not need to join or use the cloud-based services.

What's included

6 videos1 assignment

6 videos•Total 80 minutes
  • Objectives of this course•10 minutes
  • Concept of programming language•9 minutes
  • Introducing Python language•10 minutes
  • Installing Python with Anaconda distribution•14 minutes
  • Building AI coding environment : Explanation•14 minutes
  • Building AI coding environment : Demonstration•20 minutes
1 assignment•Total 20 minutes
  • Week 1 Quiz•20 minutes

What's included

5 videos1 assignment

5 videos•Total 63 minutes
  • Installing JupyterLab•10 minutes
  • Using JupyterLab•20 minutes
  • Basic rules and concepts of Python•12 minutes
  • Data types•9 minutes
  • Clear, concise and compact coding•9 minutes
1 assignment•Total 20 minutes
  • Week 2 Quiz•20 minutes

What's included

5 videos1 assignment

5 videos•Total 64 minutes
  • Getting familiar with Jupyter lab and notebook•16 minutes
  • Indentation, string and Boolean concepts, and triple quotes•14 minutes
  • Integers and floats•11 minutes
  • Type change and dynamic value assignment•8 minutes
  • Basic concept and use of if-clause•13 minutes
1 assignment•Total 20 minutes
  • Week 3 Quiz•20 minutes

What's included

6 videos1 assignment

6 videos•Total 80 minutes
  • If...elif...else statement•13 minutes
  • More complex if-clause use cases•11 minutes
  • While-loop•13 minutes
  • for-loop•16 minutes
  • Augmented assignment and lazy evaluation•16 minutes
  • Use of break and continue in loops(maybe retake)•8 minutes
1 assignment•Total 20 minutes
  • Week 4 Quiz•20 minutes

What's included

6 videos1 reading1 assignment

6 videos•Total 75 minutes
  • Basic rules of creating functions•13 minutes
  • Functions taking multiple inputs•12 minutes
  • Functions with default values and taking inputs of an arbitrary number •9 minutes
  • Reusing functions created and Using __name__=='__main__' syntax•15 minutes
  • Standard library and importing modules and libraries•13 minutes
  • Random number generation•11 minutes
1 reading•Total 10 minutes
  • circle_features.py file used in video #4•10 minutes
1 assignment•Total 20 minutes
  • Week 5 Quiz•20 minutes

What's included

6 videos1 assignment

6 videos•Total 88 minutes
  • Concept and slicing of lists•17 minutes
  • Concept of tuples and unpacking•10 minutes
  • Enumerate function and modifying lists•12 minutes
  • Sorting and searching elements•11 minutes
  • List comprehensions and two dimensional lists•13 minutes
  • Filter, lambda, map and zip functions•23 minutes
1 assignment•Total 20 minutes
  • Week 6 Quiz•20 minutes

What's included

5 videos1 reading1 assignment

5 videos•Total 50 minutes
  • Introduction to dictionary•12 minutes
  • Dictionary iteration•8 minutes
  • Dictionary: Sorting and comprehension expressions•8 minutes
  • Word counting with dictionary•8 minutes
  • Concept and operations off sets•12 minutes
1 reading•Total 10 minutes
  • dream.txt file video #4•10 minutes
1 assignment•Total 20 minutes
  • Week 7 Quiz•20 minutes

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Instructor

Instructor ratings

Instructor ratings

We asked all learners to give feedback on our instructors based on the quality of their teaching style.

4.7 (29 ratings)
Youngsun Kwon
Youngsun Kwon
Korea Advanced Institute of Science and Technology(KAIST)
2 Courses•12,547 learners

Offered by

Korea Advanced Institute of Science and Technology(KAIST)

Offered by

Korea Advanced Institute of Science and Technology(KAIST)

The Korea Advanced Institute of Science and Technology (KAIST) was established in 1971 by the Korean government as the nation’s first research-intensive graduate school for science, engineering and technology. It has now grown into one of the world’s best universities, delivering top notch education and research programs for undergraduate and graduate students. KAIST encourages interdisciplinary and convergent research across a wide spectrum of disciplines, as well as strong collaborations with industry and global institutions.

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Learner reviews

4.6

86 reviews

  • 5 stars

    70.93%

  • 4 stars

    22.09%

  • 3 stars

    2.32%

  • 2 stars

    2.32%

  • 1 star

    2.32%

Showing 3 of 86

D
DK
5

Reviewed on Jul 9, 2023

Very cool, useful training - strongly recommended

N
NW
5

Reviewed on Feb 23, 2025

This course was a great learning experience. It was easy to understand and implement. Thank you !!!!

Y
YS
5

Reviewed on Aug 13, 2024

use of easy to understand language in lecture helped a lot

View more reviews
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