Purdue University

How this program compares

At an estimated $8.4K in total tuition, the Post Graduate Certificate in AI and Machine Learning sits roughly 26% below the $11.4K average for AI certificate programs in our database — placing it in the 46th 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: Applicants typically need a bachelor's degree in a related field such as computer science, engineering, mathematics, or a quantitative discipline. Some programs may require programming experience or foundational knowledge in mathematics and statistics, though specific prerequisites vary by institution.

About This Program

An online credential that builds foundational skills in AI and computing, serving as a valuable stepping stone toward the completion of a full master's degree. Coursework concentrates on Generative AI and LLMs and Natural Language Processing (NLP). Most students complete it in about 0.92 years.

Estimated total tuition is $8.4K, below the $11.4K average for AI certificate programs in our database and in the 46th percentile on cost at this level. That puts it in the mid-range on price among comparable programs.

Gain technical 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 $125,000.

Career Outcomes

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

• 1. Machine Learning Engineer
• 2. Data Scientist
• 3. AI/ML Systems Architect
• 4. AI Solutions Consultant

What You'll Learn

• Design and implement machine learning models for real-world applications using supervised and unsupervised learning techniques
• Develop deep learning solutions including neural networks, computer vision, and natural language processing systems
• Apply ethical frameworks and responsible AI principles to address bias, transparency, and societal impact in AI systems
• Execute end-to-end AI/ML projects from data analysis through model deployment and evaluation

Curriculum Highlights

The program requires nine credit hours of coursework covering interdisciplinary AI fundamentals, the societal impacts of AI, and governance of emerging technologies.

Top Employers

Top employers for AI and machine learning professionals include Google, Microsoft, Amazon, IBM, OpenAI, and major financial institutions like JPMorgan Chase and Goldman Sachs.

Admissions

Applicants typically need a bachelor's degree in a related field such as computer science, engineering, mathematics, or a quantitative discipline. Some programs may require programming experience or foundational knowledge in mathematics and statistics, though specific prerequisites vary by institution.

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 professional experience)
• GRE/GMAT: Not Required
• TOEFL/IELTS: Required for international students (TOEFL 80+ / IELTS 6.5+)