Cornell University

How this program compares

At an estimated $29.1K in total tuition, the Certificate in Machine Learning 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 related field such as computer science, engineering, or data science is typically required, along with relevant professional experience for technical professionals, developers, or managers. GRE is not required; a strong quantitative background and programming skills are preferred.

About This Program

This professional certificate program provides a practical foundation in implementing machine learning algorithms using Python and the NumPy library. Coursework concentrates on Generative AI and LLMs and Deep Learning. Most students complete it in about 0.33 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 machine learning skills to advance as Data Scientist in Cross-Industry AI Graduates frequently move into roles such as Data Scientist, with reported salaries around $120,000.

Career Outcomes

Gain machine learning skills to advance as Data Scientist in Cross-Industry AI

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

What You'll Learn

• Build foundational intuition for large language models (LLMs) and effective prompt engineering techniques.
• Design and implement AI agents with tools, memory, and autonomous reasoning capabilities.
• Apply retrieval-augmented generation (RAG) to integrate external data into ML models.
• Develop strategies for AI governance, ethics, and organizational deployment.

Curriculum Highlights

The program consists of sequential courses covering problem-solving with machine learning, linear classifiers, model selection, and advanced generative models.

Top Employers

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

Admissions

A bachelor's degree in a related field such as computer science, engineering, or data science is typically required, along with relevant professional experience for technical professionals, developers, or managers. GRE is not required; a strong quantitative background and programming skills are preferred.

Application Materials

• Statement of Purpose: Required
• Letters of Recommendation: 2–3
• 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+)