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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Machine Learning
20 Months
Machine Learning

Machine Learning

credential earned: Diploma

Semester Credits: 70

program length in weeks: 75*

Clock Hours: 1725

Anticipated outside hours: Students can expect to spend approximately two (2) hours of outside work for every one (1) hour of the course contact hours.

Method of delivery: Blended

Eligibility for licensure: This institution is not accredited by an accrediting agency recognized by the United States Department of Education. This program does not lead to occupations that require licensure in Oklahoma or other states.

*Weeks may be extended depending on holiday and break schedules.

The Machine Learning diploma program provides an industry-aligned education that focuses on building machine learning models that can be used for predicting, making decisions, and enhancing human capabilities. This program focuses on utilizing a variety of tools, applications, and platforms to create algorithms and complex data structures that can be applied to actual business needs and real-world challenges.

Upon successful completion of the Machine Learning, graduates will have the skills necessary for an entry-level position in the Machine Learning and Data Analytics fields. Example job titles of graduates from this program are Machine Learning Engineer, Data Analyst Computer Programmer, and Computer Programmer Analyst.

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Next Start Date

Sep 3, 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!”

Colson Scott

Full-Stack Software Engineer

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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.”

Isaac Green

Machine Learning Engineer

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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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