Machine Learning Program Tulsa

Learn how to create machine learning models that enable computer applications to operate without direct human interference.

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What is Machine Learning?

Machine learning refers to software applications that find solutions and predict outcomes without being explicitly programmed to do so. It’s the process of programming computers to identify patterns in data and solve problems with minimal to no human interference.

What is the difference between Artificial Intelligence (AI) and Machine Learning?

Artificial Intelligence refers to computers that are programmed to think “like” a human and perform tasks on their own, while machine learning refers to the specific processes different programs use to build knowledge and memory. Machine learning techniques and algorithms are the building blocks of any artificial intelligence.

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Computer Science & Machine Learning
20 Months
Computer Science & Machine Learning

Computer Science & Machine Learning

Credential Earned: Diploma

Certification/Licensure: Not applicable. There is no licensure or certification requirement to work in this field.

Delivery Method: DE-Blended

In this program, students will learn from the ground up all of the pieces necessary to build machine learning models using everything from Numpy and Tensorflow to Keras. This learning will be applied to real-world situations to prepare students for future professional experiences.

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Next Start Date

Apr 29, 2024

Applications of Machine Learning

Machine learning has a wide variety of applications that span several in-demand industries.

Natural Language Processing

Teaching computers to understand human languages like English

Computer Vision

Enabling computers to identify, analyze, and understand digital images and videos

Pattern Recognition

Algorithms for detecting patterns to classify data or make predictions

Data Analytics

Using statistical and machine learning tools to analyze complex datasets

Career Opportunities

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Atlas School does not guarantee employment. Graduates in this program can reasonably expect to find job opportunities as a:

Junior ML Ops Engineer

Business Process Analyst

Support Services Analyst

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Hear from our alumni

“Atlas is a place that will welcome you with open arms regardless of your background or circumstance, and fosters the breadth of foundational skills, both technical and interpersonal, that you'll need to be successful as a programmer!”

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Colson Scott

“The people are kind and passionate, the culture is driven and creative, and the students are from all different kinds of backgrounds and interests. Atlas School focused on important soft and hard skills that set me apart from typical university students and gave me a significant advantage in the application and hiring processes.”

2  /  2

Isaac Green

Included in all Atlas School Programs:

Technical Writing

Technical writing is an invaluable skill and an excellent way to articulate and share knowledge.


Collaboration is key to a successful business. Students learn project management, interpersonal communication, and team collaboration skills.

Mock Interviews

It’s not enough to know the answers to the questions – students must be able to clearly communicate their thought processes and understanding to potential employers.

The Framework

The Framework provides the structure, order, and balance necessary to maintain a productive peer learning environment and helps students succeed throughout their careers.


Whiteboarding is an essential skill in the tech industry, both for effective planning and for excelling in tech interviews.

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Atlas School is an excellent place for you to become a great coder!

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