Machine learning operations certificates
Machine learning operations (MLOps) certificates are designed to cover the basics of machine learning, with a heavy emphasis on practical applications in the real world. They are best suited for motivated learners who already have some foundational knowledge in statistics and Python, though you do not need to be an expert.
Learn about machine learning operations certificates and how to decide whether to pursue this course of study.
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Why earn a machine learning operations certificate online?
Short program
Many programs last just three to four months. Rather than spending years earning a bachelor’s degree, you can quickly focus on what you need to know.
Real-world applications
Machine learning operations certificate programs focus on helping students learn to handle challenges in the real world.
Multiple areas of focus
There are numerous certificates, each with a slightly different focus. Whether you want to learn the fundamentals or hone in on a particular area, such as large language models, you will likely find an appropriate program.
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What you'll learn
A machine learning operations certificate will teach you what you need to know to start working with sophisticated artificial intelligence (AI) models. Depending on the specific course you choose, examples include:
- Data science
- Python
- Reinforcement learning
- AI algorithms
- Clustering
- Deep neural networks
- Data drift and anomalies
What can you do with a certificate in machine learning operations?
Machines learning operations certificates are designed to teach students the basics of working with AI. With further education, here are a few possible occupations you may qualify for, with their required skills and salary data provided by the Bureau of Labor Statistics (BLS):
Data scientist
use machine learning to mine large datasets for useful information. They develop models and algorithms to tell powerful computers what to do and then present their findings as charts or other graphics. This is often a promotion from a data analyst role, as analysts typically work under the supervision of data scientists.
- Required skills: Statistics, , Python, data analytics, , data visualization
- Median annual salary (May 2023):$108,020
Database administrator or architect
Database administrators and architects develop and maintain sophisticated databases to host company data. They often use machine learning to automate periodic testing and modifications of those systems, as well as to maintain updated permissions files for access.
- Required skills:, machine learning, network management
- Median annual salary (May 2023): $117,450
Information research scientist
Information research scientists are on the cutting edge of computer technology. They conduct experiments to solve complex problems and frequently publish their results. In addition to machine learning operations certification, this role typically requires a bachelor’s or master’s degree in computer science.
- Required skills: Computer science, machine learning, problem-solving, algorithms, programming, robotics
- Median annual salary (May 2023):$145,080
Frequently asked questions
Published July 9, 2025