Walsh University

How this program compares

At an estimated $2.9K in total tuition, the AI and Machine Learning Certificate sits roughly 75% below the $11.4K average for AI certificate programs in our database — placing it in the 6th 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 a minimum GPA of 3.0 and relevant programming or quantitative background. GRE is not required, but professional experience may be preferred.

About This Program

This hands-on course provides an overview of AI and machine learning applications to help participants build smart solutions for real-world business challenges. Coursework concentrates on Machine Learning and AI Engineering / Applied AI. Most students complete it in about 1 year.

Estimated total tuition is $2.9K, below the $11.4K average for AI certificate programs in our database and in the 6th percentile on cost at this level. That makes it one of the more affordable options for students weighing return on investment.

Gain machine learning skills to advance as Machine Learning Engineer in Engineering AI Graduates frequently move into roles such as Machine Learning Engineer, with reported salaries around $120,000.

Career Outcomes

Gain machine learning skills to advance as Machine Learning Engineer in Engineering AI

• 1. Machine Learning Engineer
• 2. AI Data Analyst
• 3. AI Specialist
• 4. Data Scientist

What You'll Learn

• Implement supervised and unsupervised machine learning models
• Build and train deep neural networks for AI applications
• Apply Python libraries like TensorFlow and Scikit-Learn to real-world data
• Develop AI solutions for data analysis and predictive modeling

Curriculum Highlights

Coursework includes interactive case studies in text understanding, computer vision, and data mining, with a focus on data preparation, model selection, and testing.

Top Employers

Top employers include tech companies like Google, Amazon, Microsoft, and IBM.

Admissions

A bachelor's degree in a related field such as computer science, engineering, or data science is typically required, along with a minimum GPA of 3.0 and relevant programming or quantitative background. GRE is not required, but professional experience may be preferred.

Application Materials

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