Learn how to create machine learning models that enable computer applications to operate without direct human interference.Request Info
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.
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.
Credential Earned: Diploma
Certification/Licensure: Not applicable.
Delivery Method: DE-Blended
There is no licensure or certification requirement to work in this field.
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.
Next Start Date
Sep 5, 2023
Machine learning has a wide variety of applications that span several in-demand industries.
Alexa and Siri are more common examples, but even chatbots like ChatGPT are powered by machine learning.
Photo identification ranges from AI-generated artworks to programs that allow doctors to identify early-stage cancers.
Machine learning can be used to track traffic patterns or resource movement in order to optimize existing systems.
Movies use machine learning to create realistic-looking snowfall and particle effects, an incredibly resource-intensive process.
This program prepares you for a career within these fields as outlined by the U.S. Bureau of Labor Statistics (SOC).
Database and Network Administrators and Architects
Database Integration Architects
Software and Web Developers, Programmers, and Testers
Web and Digital Interface Designers
Graduates in this program can reasonably expect to get jobs as a Machine Learning Engineer, AI Engineer, Data Engineer, Data Scientist, Data Analyst, Big Data Developer, Machine Learning Infrastructure Developer, Python Developer, or TensorFlow Developer.
“Holberton 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!”
Full-Stack Software Engineer
“The people are kind and passionate, the culture is driven and creative, and the students are from all different kinds of backgrounds and interests. Holberton 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.”
Machine Learning Engineer
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.
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 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.
If you can make it through our application process, then Holberton School Tulsa is an excellent place for you to become a great coder!