University of California, Irvine
Certificate in Machine and Deep Learning
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 $4.6K in total tuition, the Certificate in Machine and Deep Learning sits roughly 60% below the $11.4K average for AI certificate programs in our database β placing it in the 18th 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 a STEM field such as computer science, mathematics, or engineering is typically required, along with basic programming knowledge in Python and familiarity with linear algebra and statistics.
About This Program
This specialized online program provides professionals with the skills to leverage large datasets and develop self-improving systems for competitive business advantage. Coursework concentrates on Deep Learning and Machine Learning. Most students complete it in about 1 year.
Estimated total tuition is $4.6K, below the $11.4K average for AI certificate programs in our database and in the 18th percentile on cost at this level. That makes it one of the more affordable options for students weighing return on investment.
Gain deep learning skills to advance as Deep Learning Engineer in Cross-Industry AI Graduates frequently move into roles such as Deep Learning Engineer, with reported salaries around $120,000.
Career Outcomes
Gain deep learning skills to advance as Deep Learning Engineer in Cross-Industry AI
- 1. Machine Learning Engineer
- 2. AI Research Specialist
- 3. Data Scientist
- 4. Deep Learning Developer
What You'll Learn
- Implement machine learning algorithms for predictive modeling and data analysis.
- Design and train deep neural networks for complex pattern recognition tasks.
- Optimize models using techniques like regularization, hyperparameter tuning, and transfer learning.
- Deploy machine learning solutions in real-world applications with scalable frameworks.
Curriculum Highlights
The program requires three core courses in ML, AI, and neural networks plus elective units, totaling 10 units of specialized study.
Top Employers
Top employers include tech companies like Google, Amazon, Microsoft, and NVIDIA.
Admissions
A bachelor's degree in a STEM field such as computer science, mathematics, or engineering is typically required, along with basic programming knowledge in Python and familiarity with linear algebra and statistics.
Application Materials
- Statement of Purpose: Required
- Letters of Recommendation: 2β3
- 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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