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An Introduction to Interactive Programming in Python (Part 2)
Coursera
4 weeks, 4 hours a week
4 weeks, 4 hours a week
|
Self-Paced
|
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Principles of Computing (Part 2)
Coursera
4 weeks, 4 hours a week
4 weeks, 4 hours a week
|
Self-Paced
|
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Principles of Computing (Part 1)
Coursera
5 weeks, 4 hours a week
5 weeks, 4 hours a week
|
Self-Paced
|
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Algorithmic Thinking (Part 1)
Coursera
4 weeks, 4 hours a week
4 weeks, 4 hours a week
|
Self-Paced
|
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|
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Intro to Data Analysis
Udacity
20 hours
20 hours
|
Self-Paced
|
|
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AWS Cloud Practitioner Essentials
Coursera
13 weeks, 3 hours a week
13 weeks, 3 hours a week
|
Self-Paced
|
|
|
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|
Data Analysis with Python
freeCodeCamp
300 hours
300 hours
|
Self-Paced
|
|
|
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Cloud Machine Learning Engineering and MLOps
Coursera
3 weeks, 5 hours a week
3 weeks, 5 hours a week
|
Self-Paced
|
|
|
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Machine Learning Operations (MLOps): Getting Started
Coursera
4 weeks, 1 hour a week
4 weeks, 1 hour a week
|
Self-Paced
|
|
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Python Data Visualization
Coursera
4 weeks, 2 hours a week
4 weeks, 2 hours a week
|
Self-Paced
|
|
|
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|
Software Engineering
|
Available until Oct 9, 2026
|
|
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Data Science and Agile Systems for Product Management
edX
4 weeks, 2-3 hours a week
4 weeks, 2-3 hours a week
|
Self-Paced
|
|
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MLOps for Scaling TinyML
edX
7 weeks, 2-4 hours a week
7 weeks, 2-4 hours a week
|
Self-Paced
|
|
|
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Python Basics for Data Science
edX
3 weeks, 4-10 hours a week
3 weeks, 4-10 hours a week
|
Self-Paced
|
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|
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|
Exam Readiness: AWS Certified Advanced Networking - Specialty (Digital)
Independent
9 hours
9 hours
|
Self-Paced
|
|
|
|
|
AWS Cloud Practitioner Essentials (Digital)
Independent
7 hours
7 hours
|
Self-Paced
|
|
|
|
|
Introduction to Scripting in Python
Coursera
Specialization
4 weeks, 10 hours a week
4 weeks, 10 hours a week
|
|
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DevOps, DataOps, MLOps
Coursera
5 weeks, 9 hours a week
5 weeks, 9 hours a week
|
Self-Paced
|
|
|
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Machine Learning Operations (MLOps) with Vertex AI: Manage Features
Coursera
4 weeks, 1 hour a week
4 weeks, 1 hour a week
|
Self-Paced
|
|
|
|
|
Data Science Pipelines
Udacity
18 hours
18 hours
|
Self-Paced
|
|
|
|
|
Data Analysis with Python - Full Course for Beginners (Numpy, Pandas, Matplotlib, Seaborn)
freeCodeCamp
4-5 hours
4-5 hours
|
Self-Paced
|
|
|
|
|
Data Analysis with Python Course - Numpy, Pandas, Data Visualization
freeCodeCamp
10 hours
10 hours
|
Self-Paced
|
|
|
|
|
Exam Prep: AWS Certified SysOps Administrator – Associate
|
No Longer Offered
|
|
|
|
|
CS107: C++ Programming
Saylor University
40 hours
40 hours
|
Self-Paced
|
|
|
|
|
CS302: Software Engineering
Saylor University
41 hours
41 hours
|
Self-Paced
|
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