Cornell University

How this program compares

At an estimated $29.1K in total tuition, the Machine Learning Certificate sits about 155% above the $11.4K average for AI certificate programs in our database — placing it in the 96th 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 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.

Estimated total tuition is $29.1K, above the $11.4K average for AI certificate programs in our database and in the 96th percentile on cost at this level. Applicants should weigh that premium against the program's outcomes and brand.

Gain deep 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 deep learning skills to advance as Machine Learning Engineer in Cross-Industry AI

• 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

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.

Application Materials

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

Academic Requirements

• Degree Required: Bachelor's degree or equivalent
• GRE/GMAT: Not Required
• TOEFL/IELTS: Required for international students (TOEFL 80+ / IELTS 6.5+)