College of San Mateo
Certificate of Specialization in Machine Learning and AI
Last reviewed June 2026 by the AI Graduate editorial team. Program data is compiled and verified from official university sources β see our methodology.
How this program compares
At an estimated $552 in total tuition, the Certificate of Specialization in Machine Learning and AI sits roughly 95% below the $11.4K average for AI certificate programs in our database β placing it in the 0th percentile on cost among the 236 we track at this level. It is one of the 57% of programs in our database offered fully or partly online.
Admission Snapshot
Typical admitted student: A bachelor's degree in computer science, engineering, mathematics, or a related field with a minimum GPA of 3.0 is required, along with demonstrated programming experience in Python or equivalent. Prerequisites may include linear algebra, calculus, and introductory statistics.
About This Program
This skills-based specialization is designed to introduce students to the field of AI and establish professional credibility through technical expertise. Coursework concentrates on Machine Learning and AI Engineering / Applied AI. Most students complete it in about 1 year.
Estimated total tuition is $552, below the $11.4K average for AI certificate programs in our database and in the 0th percentile on cost at this level. That makes it one of the more affordable options for students weighing return on investment.
Gain machine learning skills to advance as Machine Learning Engineer in Cross-Industry AI Graduates frequently move into roles such as Machine Learning Engineer, with reported salaries around $120,000.
Career Outcomes
Gain machine learning skills to advance as Machine Learning Engineer in Cross-Industry AI
- 1. Machine Learning Engineer
- 2. AI Data Scientist
- 3. AI Research Analyst
- 4. Computer Vision Specialist
What You'll Learn
- Implement supervised and unsupervised machine learning algorithms on real datasets.
- Design and train deep neural networks for tasks like image recognition and sequence modeling.
- Apply reinforcement learning techniques to optimize decision-making agents.
- Evaluate AI models for bias, fairness, and ethical implications.
Curriculum Highlights
Coursework includes probability for computing, search algorithms, robotics, knowledge representation, and programming with Python and TensorFlow.
Top Employers
Top employers include Google, Amazon, Microsoft, and Meta.
Admissions
A bachelor's degree in computer science, engineering, mathematics, or a related field with a minimum GPA of 3.0 is required, along with demonstrated programming experience in Python or equivalent. Prerequisites may include linear algebra, calculus, and introductory statistics.
Application Materials
- Statement of Purpose: Required
- Letters of Recommendation: 2
- Resume: Required
- Transcripts: Official transcripts required
Academic Requirements
- Degree Required: Bachelor's degree
- GRE/GMAT: Not Required
- TOEFL/IELTS: Required for international students (TOEFL 80+ / IELTS 6.5+)
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