Schedule
Machine Learning runs October 13 - December 13, 2026. Registration closes October 20.
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Master Machine Learning, the Engine Behind Artificial Intelligence
Gain the skills to understand, build, and apply machine learning models in real-world scenarios. Whether you鈥檙e a business professional, data enthusiast, or tech beginner, this flexible, noncredit program gives you the foundation to thrive in today鈥檚 AI-driven world with no prior coding or math background required. Build your knowledge of machine learning and the data science behind AI learning models.
Self-paced, flexible online machine learning course to level up your skills
This self-paced machine learning course allows you to progress through modules, video lectures, and machine learning exercises to learn and improve your skills whenever it fits your schedule. There are no fixed deadlines or class times for this machine learning course, so you can balance your studies with work, family, or other commitments while learning online.
Format
Self-paced and online, allowing education to fit within your busy schedule. Learners have up to 8 weeks to complete the course.
Cost
$795 per student plus a $35 transaction fee per payment. All learning materials are included with tuition. Group discounts available.
Certificate and Learning Outcomes
In this beginner-friendly course, learners discover how machines learn from data and power today鈥檚 Artificial Intelligence. They explore how Machine Learning (ML) works, experiment with simple models, and gain an understanding of the major types of ML like supervised, unsupervised, and reinforcement learning, through interactive examples. The course also introduces the ethical dimensions of intelligent systems, learning algorithms, emphasizing bias, fairness, and accountability. By the end of the course, learners develop a clear understanding of emerging career pathways in AI, ML, and data analytics, gaining the confidence to continue their growth in this high-demand field.
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Machine Learning Literacy
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Data Understanding & Preparation聽
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Basic Python for Machine Learning聽
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Exploratory Data Analysis (EDA)
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Understanding Machine Learning Models
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Feature Awareness
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Model Evaluation Basics
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Use of Machine Learning Tools & Platforms聽
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Ethical & Responsible AI Awareness
You may request to receive a digital badge that will be embedded with the competencies learned. This badge can be added to your resume, LinkedIn page, portfolio, or even shared with your current or future employer. Students who successfully complete the course will also receive a certificate of completion.
Meet your Machine Learning course instructor
Dr. Ranjidha Rajan
Dr. Ranjidha Rajan will be the instructor for this Introduction to Machine Learning course. She holds a doctoral degree in Learning Analytics and brings an interdisciplinary background that bridges data science, education, and technology. At 海角社区, she teaches courses on data visualization, programming languages, and learning algorithms. Her research focuses on AI in education, deep learning analytics, and data visualization, with a special interest in how a generative AI model can enhance teaching, research, and advance student learning.
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Questions?
For questions, contact Brandy Schooler at 303-615-1234 or [email protected].
Contact Us
Email usPhone: 303-615-1234
Office Location:
Jordan Student Success Building
3rd Floor – #330
Auraria Campus
Mailing Address:
海角社区
Innovative and Lifelong Learning
P.O. Box 173362
Campus Box 6
Denver, CO 80217-3362