Cornell University

How this program compares

Budget-wise, $29.1K puts this certificate program at the 97th percentile on cost — about 165% above the $11.0K average across 180 comparable listings. It is one of the 54% of programs in our database offered fully or partly online.

Admission Snapshot

Typical admitted student: A bachelor's degree in a technical field such as computer science, engineering, or related discipline is typically required, along with basic programming knowledge in Python; professional experience in data science or software development is preferred but not always mandatory.

About This Program

This professional certificate program provides a comprehensive introduction to implementing machine learning algorithms using Python and NumPy to solve real-world data science problems. Coursework concentrates on Deep Learning and Machine Learning. Most students complete it in about 0.3 years.

Develop intuition for large language models and effective prompt engineering techniques.

Budget planners should note $29.1K estimated total tuition (97th percentile among AI certificate programs, above the $11.0K average). Applicants should weigh that premium against the program's outcomes and brand.

It is one of 56 AI-related programs we track in New York, of which about 43% offer an online option. On price, it comes in cheaper than about 71% of the New York programs in our data, where typical tuition runs near $59.9K.

Graduates frequently move into roles such as Machine Learning Engineer, with reported salaries around $120,000.

Career Outcomes

The Machine Learning Certificate at Cornell University (Ithaca, New York) is oriented toward Machine Learning Engineer hiring, with alumni reporting pay near $120,000. Its focus on Deep Learning and Machine Learning maps directly to how employers screen for specialized skills rather than generic degrees. Federal projections for this occupational area point to roughly 23% growth this decade — verify the current figure on the BLS Occupational Outlook Handbook before you rely on it.

• 1. Machine Learning Engineer
• 2. AI Developer
• 3. Data Scientist
• 4. AI Product Manager

What You'll Learn

• Develop intuition for large language models and effective prompt engineering techniques.
• Build scalable AI applications using retrieval-augmented generation and agentic architectures.
• Implement autonomous AI agents with tools, memory, and reasoning capabilities.
• Apply AI strategy frameworks for ethical deployment and organizational impact.

Curriculum Highlights

Coursework covers problem-solving with machine learning, estimating probability distributions, linear classifiers, decision trees, kernel machines, and deep learning neural networks.

Top Employers

Top employers include tech companies like Google, Amazon, Microsoft, and Meta, as well as AI startups and consulting firms.

Admissions

Admission to Cornell University's Machine Learning Certificate generally expects a bachelor's degree or equivalent. The GRE is not required here — a growing norm among AI programs — so applicants can often lead with coursework, projects and recommendations instead. Deadlines, testing policies and funding change year to year, so confirm the current requirements on the official program page before applying.

Application Materials

• Statement of Purpose: Required
• Letters of Recommendation: 2–3
• Resume: Required
• Transcripts: Official transcripts required

Frequently Asked Questions