30 Top AI Certifications: Hotlist of 2024

Artificial intelligence (AI) certification is a credential awarded to individuals who possess a certain level of proficiency in an AI job-related task. AI certifications are a great way to boost career growth for tech professionals.
AI certifications demonstrate understanding and competence in various aspects of AI, such as machine learning, natural language processing, computer vision, robotics, and AI software.
The demand for professionals with AI certifications is great – and growing: The artificial intelligence market size is projected to grow from $515.31 billion in 2023 to more than $2 trillion by 2030, at a scorching compound annual growth rate (CAGR) of 21.6% – and with this growth comes enormous demand for AI experts.
This guide analyzes the best AI certifications to help you advance your careers and stay up to date with the latest AI technologies.
Best AI Certification: Comparison Chart
Here is a head-to-head summary chart of ten leading AI certification courses with their features, certifying institutions, and prices. See below for the rest of the list.

AI Certification
Certifying Body
Duration
Study Resources
AI Experience Level
Course Fee

AI for Everyone (Coursera)
DeepLearning.AI
10 hours

Coursera platform
Video lectures
Readings

Beginner level
Free (audit) or Coursera subscription or $49 for individual course purchase

Certified Artificial Intelligence Scientist (CAIS)
United States Artificial Intelligence Institute
4 – 25 weeks

Study books
Self-paced videos
Practice code

Advanced
$894

Computer Science for Artificial Intelligence
Harvard University
5 months

Self-paced videos

Beginner or mid-level
$518 (currently on sale for $466.20)

Fundamentals of Google AI for Web-Based Machine Learning
Google
3 months

Self-paced videos

Beginner/mid-level
$498 (currently on sale for $358.20)

IBM AI Engineering Professional Certificate
IBM
2 months at 10 hours a week

Coursera platform
Video lectures
Readings

Intermediate level
Free (audit) or Coursera subscription or $49 for individual course purchase

Artificial Intelligence A-Z 2024: Build an AI with ChatGPT4 (Udemy)
SuperDataScience Team and other instructors
17 hours

On-demand videos
20 articles
3 downloadable resources

Beginner/mid-level
$20 per month (personal plan) or $149.99 course purchase fee

Artificial Intelligence Engineer (AIE) Certification Process by the Artificial Intelligence Board of America (ARTiBA)
ARTiBA
N/A

A copy of the AI Engineer’s Handbook
Practice tests for AiE exam on the myARTiBA candidate dashboard
AiE Study Guide

Advanced
$550

Artificial Intelligence Graduate Certificate
Stanford School of Engineering
1 to 3 years, depending on the learner’s pace

Self-study resources
Free recordings of Stanford AI courses

Advanced level
$18,928 – $23,296

Microsoft Certified: Azure AI Engineer Associate
Microsoft
114 hours, 37 minutes

AI-102 exam prep videos on Learn
AI-102 study guide
Demo the exam experience by visiting our exam sandbox

Intermediate or advanced level
$165 for U.S. candidate

Professional Certificate Program in Machine Learning & Artificial Intelligence
MIT Professional Education
16 days of qualifying Short Programs courses in Professional Education

Short Programs courses
In-person and online learning
Hands-on projects

Beginner to intermediate
$325 application fee and per-course fees

TABLE OF CONTENTS
ToggleBest AI Certification: Comparison ChartBest 30 AI Certifications 2024AI For Everyone (Coursera)Certified Artificial Intelligence Scientist (CAIS)Computer Science for Artificial Intelligence Fundamentals of Google AI For Web-Based Machine LearningIBM AI Engineering Professional CertificateArtificial Intelligence A-Z 2024: Build AI With ChatGPT4 (Udemy)Artificial Intelligence Engineer (AIE) Certification Process By The Artificial Intelligence Board Of America (ARTiBA)Artificial Intelligence Graduate CertificateMicrosoft Certified: Azure AI Engineer AssociateArtificial Intelligence: Business Strategies And ApplicationsAI For Business LeadersJetson AI CertificationProfessional Machine Learning Engineer (Google Cloud)Post Graduate Program In AI and Machine LearningAI Applications For GrowthProfessional Certificate Program In Machine Learning & Artificial IntelligenceAI For Non-Technical People: A Hands-On Beginner’s CourseIntel Edge AI CertificationGraduate Certificate In Ethical Artificial IntelligenceChatGPT / AI Ethics: Ethical Intelligence In An AI WorldDesigning And Building AI Products And ServicesArtificial Intelligence Professional ProgramIBM Applied AI Professional CertificateIntroduction To TensorFlow for Artificial Intelligence, Machine Learning, And Deep LearningCertNexus Certified Artificial Intelligence Practitioner Professional CertificateOxford Artificial Intelligence ProgrammeArtificial Intelligence: Implications For Business StrategyColumbia Engineering Online Artificial Intelligence ProgramBabsonX: AI For LeadersIntro To AI EthicsKey Benefits of Earning an AI Certification How to Choose the Best AI Certification for YouFrequently Asked Questions (FAQs)Bottom Line: AI Certifications

Best 30 AI Certifications 2024
Artificial intelligence certification programs usually involve completing training courses, passing assessments or exams, and meeting specific criteria set by certifying bodies or organizations. All of the AI certs below include some mix of these tasks – but they take very different approaches. This includes the amount of time and expertise required to complete the AI certification, so study the requirements carefully to make sure the program is a fit for you.
AI For Everyone (Coursera)
AI for Everyone
Non-technical professionals looking for a beginner-friendly AI certification course may find the AI for Everyone course beneficial. The course is hosted on Coursera and taught by the famed AI pioneer Andrew Ng, courtesy of DeepLearning.AI.
This course is designed to provide a comprehensive introduction to AI concepts, terminology, and applications without requiring any prior technical knowledge. It aims to equip non-technical professionals with the necessary understanding and skills to navigate the AI landscape.
The course consists of approximately 10 hours of video lectures, quizzes, and exercises to reinforce learning. Upon completion, students will receive a certificate from Coursera, which can be shared on professional platforms.

Get AI for Everyone

Course Content
This course has four modules:

What is AI? – 1 hour to complete.
Building AI Project –  1 hour to complete.
Building AI In Your Company –  2 hours to complete.
AI and Society –  1 hour to complete.

Key Course Details

Best for
Non-technical individuals

Experience required
No prerequisites. Suitable for both technical and non-technical individuals

Course fee
Free (audit), or included with Coursera subscription

Duration
7 hours

Supported language(s)
8 languages, including English and Bahasa Indonesia (otomatis)

Assessments
Quizzes

Study resources
Coursera platform, video lectures, readings

Study format
Self-paced online learning

Certificate fee
Included in subscription, or $49 for individual course purchase

For more information about AI companies that may hire professionals with AI certs, see our guide: 150+ Top AI Companies 2024
Certified Artificial Intelligence Scientist (CAIS)
Certified Artificial Intelligence Scientist
The Certified Artificial Intelligence Scientist course offered by the United States Artificial Intelligence Institute is one of the top certifications in artificial intelligence. This comprehensive program covers various AI topics, such as machine learning, deep learning, and Computer Vision with Reinforcement Learning. CAIS also provides hands-on training and real-world projects to enhance practical skills in AI.

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Course Content
This exam includes the following general domains and their percentage weights on the exam:

Artificial Intelligence and Machine Learning (18%).
Strategic Data Science and Management (15%).
The Economics of AI (12%).
Supervised Deep Learning and Computer Vision (18%).
AI in Marketing (10%).
Reinforcement Learning (RL) (12%).
Artificial Intelligence, Cloud, and Security (15%).

Key Course Details

Best for
Senior professionals such as business leaders like Managers, Delivery Managers, Program Managers, Directors, and CXOs

Experience required

PATH 01: Bachelor’s degree or equivalent in any academic discipline and at least five years of experience in AI, ML, Data Science, Business Analytics, Business Intelligence, Project Management, or any Programming language
PATH 02: ​​Master’s degree or equivalent in any academic discipline and at least four years experience in AI, ML, Data Science, Business Analytics, Business Intelligence, Engineering, Finance, and Management
PATH 03: Must have completed CAIC or other equivalent certification and at least four years experience for Bachelor’s Degree holders and three years experience for Masters Degree holders

Course fee
$894

Duration
4-25 weeks or 8 –10 hours per Week

Supported language(s)
English

Study resources

Personalized Study-Books
Workshop-based eLearning
Self-paced videos
Lab-based eLearning with practice code

Study format
Self-paced

Certificate fee
Included in the course fee

To see many of the leading tools used by AI pros, read our guide: Top Generative AI Apps and Tools
Computer Science for Artificial Intelligence 
Computer Science for Artificial Intelligence
Beginners new to the field of computer science and AI may want to consider the Computer Science for Artificial Intelligence course offered by three experts from Harvard University: Doug Lloyd and Brian Yu, who are Senior Preceptors in Computer Science at Harvard University, and David J. Malan, a Gordon McKay Professor of the Practice of Computer Science at Harvard University.
This self-paced Harvard certificate includes two courses, including CS50’s Introduction to Computer Science and CS50’s Introduction to Artificial Intelligence with Python. The course provider claims learners can finish the certification program in five months.
The course offers hands-on projects, which can help learners gain exposure to the theory behind graph search algorithms, classification, optimization, reinforcement learning, and other topics in artificial intelligence.

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Course Content

Understanding of computer science and programming.
Graph search algorithms.
Reinforcement learning.
Machine learning.
Artificial intelligence principles.
How to design intelligent systems.
How to use AI in Python programs.

Key Course Details

Best for
Beginners

Experience required
No prerequisites. Basic understanding of computer programming concepts is a plus

Course fee
$518 (currently on sale for $466.20)

Duration
5 months or 7–22 hours per week

Supported language(s)
English

Study resources
Self-paced videos

Study format
Self-paced

Certificate fee
Included in the course fee

Fundamentals of Google AI For Web-Based Machine Learning
Fundamentals of Google AI for Web-Based Machine Learning
This certification course is designed to help learners understand what AI really is and what it isn’t. Jason Mayes, a Senior Developer Relations Engineer for TensorFlow.js, and Laurence Moroney, Lead AI Advocate – both from Google – cover the relationship between data, machine learning, and artificial intelligence to help you discuss and use these technologies with others.
This program has two courses: Google AI for everyone, which can be completed in 4 weeks, and Google AI for JavaScript developers with TensorFlow.js, which can be completed in 7 weeks.

Get Fundamentals of Google AI

Course Content

How machine learning works and how ML, AI, and deep learning fit together.
Applied AI and what programming AI looks like.
Introduction and overview of the TensorFlow.js library and the advantages of using ML in JavaScript.
Ways to consume existing machine learning models.
How to write custom models from a blank canvas (Linear Regression, Convolutional Neural Network).
How to use industry-standard pre-made models for object detection or natural language processing.
How to convert Python models to TensorFlow.js format to run them client side in a web browser.

Key Course Details

Best for
Beginners

Experience required
No prior experience

Course fee
$538.20

Duration
3 months or 3–4 hours per week

Supported language(s)
English

Study resources
Self-paced videos

Study format
Self-paced

Certificate fee
Included in the course fee

For more information about the leading machine learning software used by AI professionals, read our guide: Best Machine Learning Platforms
IBM AI Engineering Professional Certificate
IBM AI Engineering Professional Certificate
Taught by seven experts, this intermediate-level certificate course offered by IBM takes approximately two months at 10 hours per week to complete. It consists of six courses, which will teach learners how to write Python code that implements various classification techniques, including K-nearest neighbors (KNN), decision trees, and regression trees; image processing and analysis techniques for computer vision problems; and how to build Deep Neural Networks using PyTorch — the last course includes an AI capstone project with deep learning.
By completing this certificate, students will gain the knowledge and skills needed to start a career in AI engineering or further their existing careers.

Get IBM AI Engineering Professional Certificate

Course Content

Machine Learning with Python.
Introduction to Deep Learning & Neural Networks with Keras.
Introduction to Computer Vision and Image Processing.
Deep Neural Networks with PyTorch.
Building Deep Learning Models with TensorFlow.
AI Capstone Project with Deep Learning.

Key Course Details

Best for
Intermediate level

Experience required
No specific prerequisite

Course fee
Free (audit), or included with Coursera subscription

Duration
Two months at 10 hours a week

Supported language(s)
English

Assessments
Quizzes

Study resources
Coursera platform, video lectures, readings

Study format
Self-paced online learning

Certificate fee
Included in subscription, or $49 for individual course purchase

Artificial Intelligence A-Z 2024: Build AI With ChatGPT4 (Udemy)
Artificial Intelligence A-Z 2024
With over 231,410 students, Artificial Intelligence A-Z 2024 is a best seller on Udemy. It is best for AI, machine learning, or deep learning enthusiasts.
The course teaches learners how to make a virtual self-driving car; develop an AI to beat games; understand Q-learning, deep Q-learning, and deep convolutional Q-learning; and solve real-world problems with AI. The instructors provide learners with downloadable Python code templates for every AI they build in the course.

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Course content

Part 0: Fundamentals of Reinforcement Learning.
Part 1: Deep Q-Learning.
Part 2: Deep Convolutional Q-Learning.
Part 3: A3C.

Key Course Details

Best for
Beginner or mid-level

Experience required
High School Maths and basic Python knowledge

Course fee
$20 per month (personal plan) or $149.99 course purchase fee

Duration
17 hours

Supported language(s)
English

Assessments
Quizzes and practical projects

Study resources

17 hours of on-demand video
20 articles
Three downloadable resources

Study format
Self-paced

Certificate fee
Included in the course fee

Artificial Intelligence Engineer (AIE) Certification Process By The Artificial Intelligence Board Of America (ARTiBA)
Artificial Intelligence Engineer (AIE)
The Artificial Intelligence Engineer (AIE) certification process is offered by the Artificial Intelligence Board of America (ARTiBA), which is a professional membership body dedicated to promoting and advancing AI practices.
To receive the AIE certification, individuals must undergo a structured evaluation process assessing their knowledge and skills in various AI-related domains. The certification process consists of the following steps:

Check your eligibility.
Create your myARTiBA account.
AIE registration confirmation.
Release of AIE learning material.
Prepare for the exam and register.
Certification award.

Get Artificial Intelligence Engineer (AIE) Certification Process

Course Content

Essentials of Artificial Intelligence & Machine Learning (27%).
Essentials of AI & ML Programming (21%).
Essentials of Natural Language Processing (26%).
Essentials of Neural Networks & Deep Learning (26%).

Key Course Details

Best for
Advanced level

Experienced required

AIE Track 1: Learner should have completed an Associate degree or diploma in Computer Science or Information Technology or any other related discipline, plus a ​​minimum of 2 years of work history in any of the computing sub-functions.
AIE Track 2: Learner should have completed a bachelor’s degree in Computer Science or Information Technology or any other related discipline, plus a ​​minimum of 2 years of work-history in any computing sub-functions and must have a good understanding of computer programming.
AIE Track 3: Current and past students have a Master’s degree in Computer Science or Information Technology or any other related discipline plus a ​​minimum two years of work history in any computing sub-functions; must have a good understanding of computer programming.

Course fee
$550

Duration
N/A

Supported language(s)
English

Study resources
A copy of the Ai Engineer’s HandbookPractice tests for AiE exam on the myARTiBA candidate dashboardAiE Study Guide

Study format
Self-study

Certificate fee
Included in the course fee

To learn about the leading AI software programs built and used by AI professionals, see our guide:  Best Artificial Intelligence Software 2024
Artificial Intelligence Graduate Certificate
Artificial Intelligence Graduate Certificate
Stanford School of Engineering is the issuing body of the Artificial Intelligence Graduate Certificate. This particular certification process is a bit different from the ones we have analyzed so far: It requires a significant time commitment, as it’s designed like a proper degree course – you should expect an average of 15-20 hours per week for the lecture and homework assignments. To earn the certificate, you must complete one required course and three elective courses and receive a B (3.0) or better in each course.
This program covers various aspects of AI, including the principles and techniques of AI, ML, computational logic, NLP, NLU, robotics, deep learning, computer vision, and more.

Get Artificial Intelligence Graduate Certificate

Course Content

Artificial intelligence principles and techniques.
Machine learning.
Natural language processing with deep learning.
Computer vision.
Reinforcement learning.

Key Course Details

Best for
Those looking for degree-like certification in AI

Experience required

Strong backgrounds in programming (C/C++, python), linear algebra, calculus, as well as statistics and probability
Bachelor’s degree with a minimum 3.0 grade point average
Each course may have individual prerequisites

Course fee
$18,928 – $23,296

Duration
1–3 years, depending on the learner’s pace

Supported language(s)
English

Assessments
Homework, exams

Study resources

Self-study resources
Free recordings of Stanford AI courses

Study format
Online, instructor-led

Certificate fee
Included in the course fee

Microsoft Certified: Azure AI Engineer Associate
Azure AI Engineer Associate
Azure AI Engineer Associate is a certification offered by Microsoft that validates an individual’s skills in designing and implementing AI solutions using Azure technologies such as Azure Cognitive Services and Azure Applied AI services.
According to Microsoft, this course will allow you to plan and manage an Azure AI solution and implement image and video processing solutions, natural language processing solutions, knowledge mining solutions, and conversational AI solutions.
You can prepare for this certification in two ways: self-paced and instructor-led training.

Get Microsoft Certified: Azure AI Engineer Associate

Course Content

Prepare for AI engineering.
Provision and manage Azure AI services.
Process and translate text with Azure AI services.
Process and translate speech with Azure AI speech services.
Create a language understanding solution with Azure AI Language.
Build a question-answering solution.
Build custom text analytics solutions.
Create conversational AI solutions.
Create computer vision solutions with Azure AI Vision.
Extract text from images and documents.
Implement knowledge mining with Azure Cognitive Search.
Develop generative AI solutions with Azure OpenAI Service.

Key Course Details

Best for
Software engineers

Experience required

Knowledge of Python and C# programming
Prerequisites vary based on each learning path

Course fee
$165 in the U.S. Price varies based on country

Duration
114 hours, 37 minutes

Supported language(s)
English and 12 others

Assessments
Online exams

Study resources

AI-102 exam prep videos on Learn
AI-102 study guide
Demo the exam experience by visiting our exam sandbox

Study format
Self-paced, instructor-led

Certificate fee
Included in the course fee

To learn about the newer AI companies, which are often actively hiring AI experts, read our guide: Generative AI Startups 
Artificial Intelligence: Business Strategies And Applications
Artificial Intelligence: Business Strategies and Applications
UC Berkeley designed this course for business professionals who are interested in understanding how AI can be leveraged to drive business growth and innovation. The course covers various aspects of AI and its application in different business contexts. It starts by explaining the fundamental concepts of AI and machine learning and then explores neural networks and deep learning, computer vision, and NLP.

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Course Content

Introduction–AI and business.
Machine learning basics.
Neural networks and deep learning.
Key applications: computer vision & natural language processing.
Robotics.
AI strategy.
AI and organizations: Building your AI team.
The future of AI in business.

Key Course Details

Best for
C-suite executives, senior managers, functional business heads

Experienced required
No specific prerequisites

Course fee
$2,492

Duration
Two months, online, 4—6 hours per week

Supported language(s)
English

Assessments
Capstone Project

Study resources
UC Berkeley platform, video lectures, readings, case studies

Study format
Instructor-led online learning

Certificate fee
Included in the course fee

AI For Business Leaders
AI for Business Leaders
AI for Business Leaders is an online nanodegree program from Udacity that teaches business leaders how to more effectively embed AI and ML technologies into their existing business technologies and strategies. It is considered an intermediate-level training program with real-world, hands-on projects, but beginners in AI who bring extensive business skills and expertise to the table can benefit from this course as well.

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Course Content

AI for Business Leaders Executive Program Introduction
Introduction to AI for Business Leaders
Getting Help
The Paradigm Shift
The Math Behind the Magic
Architectures of AI Systems
Working with Data
Accuracy, Bias, and Ethics
Gathering Feedback
Thinking Bigger
Delivering an ML/AI Strategy

A certificate is awarded based on the completion of these lessons and courses.
Key Course Details

Best for
Business leaders and strategists interested in using ML and AI more effectively

Experience required
Familiarity with basic probability and descriptive statistics and multiple years of experience in a business strategy role are preferred

Course fee
Udacity subscription for a minimum of $249 per month or $2,390 per year

Duration
2 months

Supported language(s)
Unknown

Study resources

Udacity platform resources
Online videos
Real-world project

Study format
Self-paced

Certificate fee
Included with course fee

Jetson AI Certification
Jetson AI Certification
The Jetson AI Specialist certification from NVIDIA Deep Learning Institute is a certification and training program that gives users a chance to learn and tailor AI skills to Jetson embedded computing technology and similar systems for machine learning applications. Students of this program will learn through a combination of hands-on, open-source projects, and project-based assessments.

Get Jetson AI Certification

Course Content
The Jetson AI Specialist certification requires all students to complete the Jetson AI Fundamentals course, which includes the following sections:

NVIDIA Deep Learning Institute’s Getting Started with AI on Jetson Nano course
JetBot (optional)
Hello AI World

Users who are interested in receiving a certificate must also complete the Getting Started with AI on Jetson Nano DLI course certificate and a project-based assessment.
Key Course Details

Best for
NVIDIA product users and open-source developers

Experience required
Basic familiarity with Python and Linux. Teaching or training experience required for the Jetson AI Ambassador certification program

Course fee
Free

Duration
4 hours of online content plus project time

Supported language(s)
Unknown

Study resources

Video tutorials
Open-source, hands-on project
Project-based assessment
Interactive notebooks

Study format
Self-paced

Certificate fee
Free

Professional Machine Learning Engineer (Google Cloud)
Professional Machine Learning Engineer
The Professional Machine Learning Engineer certification from Google Cloud is a skill-based exam and certification that determines how effectively ML engineers can design and architect, develop, automate and orchestrate, and monitor machine learning developments on Google Cloud platforms and technologies. No coursework is required to earn this certification; however, many users elect to complete a relevant Google Cloud training path to prepare for the exam.

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Course Content
Students are required to complete the 50–60 multiple choice and multiple select questions that make up the certification exam, which can be taken in