Feature
There’s a growing demand for artificial intelligence (AI) engineers with the skills to develop AI software. To serve that demand, there are plenty of certifications in AI engineering — from comprehensive programs by academic institutions to introductory overviews and platform-specific courses by major AI companies. Here, we look at some of the top certification programs for AI engineers.
1. UConn Engineering AI Boot Camp
Certifying organization: University of Connecticut
Skills learned: Preparing and analyzing data for models and applications; using supervised and unsupervised learning; model optimization; legal and ethical considerations in AI.
Requirements: No programming skills required. Bachelor’s degree/two years work experience in business, finance, statistics or a related field recommended.
Duration: Nine hours a week for 24 weeks
Test: Nine challenges and three team-based projects
Cost: Currently $10,995
2. IBM AI Engineering Professional Certificate
Certifying organization: IBM
Skills learned: Understand machine learning (ML), deep learning, neural networks and algorithms, such as classification, regression, clustering and dimensional reduction; deploy algorithms on Apache Spark; implement supervised and unsupervised machine learning models; build deep learning models and neural networks.
Requirements: Some related experience
Duration: Two months at 10 hours a week
Test: Build models and create programs
Cost: Currently $49 a month
Skills learned: Building AI-based applications using Azure AI Services, Azure AI Search and Azure OpenAI.
Requirements: Software engineers familiar with C# or Python; knowledge about using REST-based APIs to build computer vision, language analysis, knowledge mining, intelligent search and generative AI programs.
Duration: 25 hours, self-paced or instructor-led
Test: 100-minute certification exam
Cost: Currently $165
4. Artificial Intelligence Engineer
Certifying organization: Artificial Intelligence Board of America
Skills learned: Essentials of AI, ML and programming, natural language processing (NLP), neural networks and deep learning.
Requirements: Tracks are available for those with associate’s, bachelor’s or master’s degrees in computer science, data science or related disciplines, such as mathematics or statistics. Those with an associate’s degree must have two years of work experience in computing.
Duration: Self-paced, up to 180 days after registration
Test: Proctored online exam
Cost: Currently $550
5. Certified Artificial Intelligence Engineer
Certifying organization: United States Artificial Intelligence Institute
Skills learned: AI and ML, deep learning, computer vision and generative adversarial networks (GANs), natural language processing and reinforcement learning.
Requirements: An associate’s degree plus two years of programming experience, a bachelor’s degree or an in-progress bachelor’s degree plus basic proficiency in a programming language.
Duration: Eight to 10 hours a week for four to 25 weeks
Test: Certification exam
Cost: Currently $691
6. Machine Learning Engineer
Certifying organization: Google
Skills learned: Machine learning, TensorFlow, feature engineering, production ML systems, computer vision fundamentals, natural language systems processing, recommendation systems, ML operations, pipelines and data preparation.
Requirements: At least three years of industry experience, including at least a year of designing and managing solutions with Google Cloud, is recommended before taking the certification exam.
Duration: Learning path consists of 15 activities, most ranging from eight to 32 hours
Exam: Two-hour proctored exam
Cost: Currently $200
Skills learned: Programming and data preparation; machine learning fundamentals and AI ethics; and natural language processing and AI applications.
Requirements: Bachelor’s degree/two years of experience in business, finance, statistics, management or a related field recommended.
Duration: 24 weeks, including nine hours a week of live classes, and 20 hours a week of homework and projects.
Test: Required projects
Cost: Currently $14,495
8. AI Engineering Specialization
Certifying organization: Scrimba
Skills learned: Basics of AI engineering; building AI agents that interact with APIs; using text embeddings and vector databases.
Requirements: Knowledge of basic HTML, CSS and JavaScript
Duration: One month at 10 hours a week
Test: Complete an AI app project
Cost: Currently $49 a month
9. Designing and Building AI Products and Services
Certifying organization: MIT
Skills learned: The four stages of AI product design; differentiating among ML algorithms; applying ML to practical problems; and designing intelligent human-machine interfaces.
Requirements: knowledge of calculus, linear algebra, statistics and probabilities and basic Python experience are beneficial.
Duration: Eight weeks at six hours a week
Cost: Currently $2,950
10. Artificial Intelligence Graduate Certificate
Certifying organization: Stanford University School of Engineering
Skills learned: The principles and methodologies of AI and electives, including natural language processing, vision, data mining and robotics.
Requirements: Bachelor’s degree with a GPA of 3.0 or better, college-level calculus and linear algebra, familiarity with probability theory, programming experience, including familiarity with Linux, Java/JavaScript, C/C++, Python or similar languages
Duration: Four courses within three academic years, each running eight to 10 weeks and requiring 15-20 hours a week.
Test: Varies by course
Cost: Currently $23,296
1. UConn Engineering AI Boot Camp
Certifying organization: University of ConnecticutSkills learned: Preparing and analyzing data for models and applications; using supervised and unsupervised learning; model optimization; legal and ethical considerations in AI.
Requirements: No programming skills required. Bachelor’s degree/two years work experience in business, finance, statistics or a related field recommended.
Duration: Nine hours a week for 24 weeks
Test: Nine challenges and three team-based projects
Cost: Currently $10,995
2. IBM AI Engineering Professional Certificate
Certifying organization: IBMSkills learned: Understand machine learning (ML), deep learning, neural networks and algorithms, such as classification, regression, clustering and dimensional reduction; deploy algorithms on Apache Spark; implement supervised and unsupervised machine learning models; build deep learning models and neural networks.
Requirements: Some related experience
Duration: Two months at 10 hours a week
Test: Build models and create programs
Cost: Currently $49 a month
3. Azure AI Engineer Associate
Certifying organization: MicrosoftSkills learned: Building AI-based applications using Azure AI Services, Azure AI Search and Azure OpenAI.
Requirements: Software engineers familiar with C# or Python; knowledge about using REST-based APIs to build computer vision, language analysis, knowledge mining, intelligent search and generative AI programs.
Duration: 25 hours, self-paced or instructor-led
Test: 100-minute certification exam
Cost: Currently $165
4. Artificial Intelligence Engineer
Certifying organization: Artificial Intelligence Board of AmericaSkills learned: Essentials of AI, ML and programming, natural language processing (NLP), neural networks and deep learning.
Requirements: Tracks are available for those with associate’s, bachelor’s or master’s degrees in computer science, data science or related disciplines, such as mathematics or statistics. Those with an associate’s degree must have two years of work experience in computing.
Duration: Self-paced, up to 180 days after registration
Test: Proctored online exam
Cost: Currently $550
5. Certified Artificial Intelligence Engineer
Certifying organization: United States Artificial Intelligence InstituteSkills learned: AI and ML, deep learning, computer vision and generative adversarial networks (GANs), natural language processing and reinforcement learning.
Requirements: An associate’s degree plus two years of programming experience, a bachelor’s degree or an in-progress bachelor’s degree plus basic proficiency in a programming language.
Duration: Eight to 10 hours a week for four to 25 weeks
Test: Certification exam
Cost: Currently $691
6. Machine Learning Engineer
Certifying organization: GoogleSkills learned: Machine learning, TensorFlow, feature engineering, production ML systems, computer vision fundamentals, natural language systems processing, recommendation systems, ML operations, pipelines and data preparation.
Requirements: At least three years of industry experience, including at least a year of designing and managing solutions with Google Cloud, is recommended before taking the certification exam.
Duration: Learning path consists of 15 activities, most ranging from eight to 32 hours
Exam: Two-hour proctored exam
Cost: Currently $200
7. AI Boot Camp
Certifying organization: Columbia UniversitySkills learned: Programming and data preparation; machine learning fundamentals and AI ethics; and natural language processing and AI applications.
Requirements: Bachelor’s degree/two years of experience in business, finance, statistics, management or a related field recommended.
Duration: 24 weeks, including nine hours a week of live classes, and 20 hours a week of homework and projects.
Test: Required projects
Cost: Currently $14,495
8. AI Engineering Specialization
Certifying organization: ScrimbaSkills learned: Basics of AI engineering; building AI agents that interact with APIs; using text embeddings and vector databases.
Requirements: Knowledge of basic HTML, CSS and JavaScript
Duration: One month at 10 hours a week
Test: Complete an AI app project
Cost: Currently $49 a month
9. Designing and Building AI Products and Services
Certifying organization: MITSkills learned: The four stages of AI product design; differentiating among ML algorithms; applying ML to practical problems; and designing intelligent human-machine interfaces.
Requirements: knowledge of calculus, linear algebra, statistics and probabilities and basic Python experience are beneficial.
Duration: Eight weeks at six hours a week
Cost: Currently $2,950
10. Artificial Intelligence Graduate Certificate
Certifying organization: Stanford University School of EngineeringSkills learned: The principles and methodologies of AI and electives, including natural language processing, vision, data mining and robotics.
Requirements: Bachelor’s degree with a GPA of 3.0 or better, college-level calculus and linear algebra, familiarity with probability theory, programming experience, including familiarity with Linux, Java/JavaScript, C/C++, Python or similar languages
Duration: Four courses within three academic years, each running eight to 10 weeks and requiring 15-20 hours a week.
Test: Varies by course
Cost: Currently $23,296
