By Aminu Abdullahi

AI for Everyone
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.

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

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.

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
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.

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
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.

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
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.

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
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.

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 an AI with ChatGPT4 (Udemy)

Artificial Intelligence A-Z 2024
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.

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)
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.

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
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.

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

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.

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
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.

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

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.

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
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.

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
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.

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 person or online. However, many students start with the exam guide and sample questions or complete the Machine Learning Engineer learning path, which includes online and in-person training courses.

Key Course Details

Best for Machine learning engineers with at least 3 years of experience and some experience with Google platforms
Experience required No prior experience is required
Course fee No course(s) required to complete certification
Duration 2 hours
Supported language(s) English, German, Spanish, French, Portuguese, Mandarin, and more
Study resources
  • Exam guide
  • Sample questions
  • Machine Learning Engineer learning path with online training, in-person classes, and more
Study format Self-paced studying with a timed examination
Certificate fee $200

Post Graduate Program in AI and Machine Learning

Post Graduate Program in AI and Machine Learning
Post Graduate Program in AI and Machine Learning

The Post Graduate Program in AI and Machine Learning is a collaboration among Simplilearn, Purdue University, and IBM for business professionals who want to improve their AI and ML knowledge and skills through an online bootcamp format. Many users select this certification program for its collaborative learning format and for the blend of academic and applied business AI knowledge they can gain from Purdue and IBM.

Course Content

The program is split into foundations, core, capstone, and elective courses:

  • Foundations: Mathematics & Statistics Essentials
  • Foundations: Programming Refresher
  • Foundations: Python for Data Science (IBM)
  • Core: Applied Data Science with Python
  • Core: Machine Learning
  • Core: Deep Learning with TensorFlow (IBM)
  • Core: Deep Learning Specialization
  • Core: Essentials of Generative AI, Prompt Engineering & ChatGPT
  • Capstone
  • Elective master classes and advanced courses on computer vision, NLP, speech recognition, reinforcement learning, etc.

Key Course Details

Best for Business leaders and emerging leaders looking to advance their careers with applied AI and ML knowledge
Experience required At least two years of work experience, a bachelor’s degree, and a basic understanding of mathematics and programming
Course fee $4,500
Duration 11 months
Supported language(s) Unknown
Study resources
  • Online bootcamp
  • Capstones and hands-on projects
  • Integrate labs and tools
  • Hackathons
Study format Online courses with cohort-wide learning schedules
Certificate fee Included with course fee

AI Applications for Growth

AI Applications for Growth
AI Applications for Growth

AI Applications for Growth from Northwestern University’s Kellogg School of Management is an executive education program that teaches business leaders how to use AI and ML in a way that benefits businesses and customers alike. It is an online program that is primarily designed for C-level executives and business leaders across sales, marketing, and IT roles.

Course Content

The program is primarily divided into eight module topics:

  • Module One: The AI Revolution: Trends, Tools, and Applications
  • Module Two: AI and Customer Experience Management
  • Module Three: AI and Operations Management
  • Module Four: AI and Business Support Functions
  • Module Five: AI Applications in Select Industries
  • Module Six: AI Applications in Autonomous Vehicles and Transportation
  • Module Seven: Transforming Your Business with AI: Strategy and Capabilities
  • Module Eight: Transforming Your Business with AI: Organization and Society

Key Course Details

Best for Business executives and IT managers and leaders
Experience required None
Course fee $2,850 (currently on sale for $2,736)
Duration Two months at 4–6 hours per week (estimated)
Supported language(s) Unknown
Study resources
  • Video lectures
  • Webinars
  • Office hours
  • Quizzes
  • Discussion groups
  • Final project
  • Enterprise case studies
Study format Self-paced
Certificate fee Included in course fee

Professional Certificate Program in Machine Learning & Artificial Intelligence

Professional Certificate Program in Machine Learning & Artificial Intelligence
Professional Certificate Program in Machine Learning & Artificial Intelligence

The Professional Certificate Program in Machine Learning & Artificial Intelligence is a professional education certification program from MIT that emphasizes the applications of AI and ML in a few emerging areas, like the Internet of Things (IoT), smart manufacturing, computer vision, and industry-specific automations and analytics. It is ideally designed for mid-level business leaders who still manage some of the day-to-day operations that AI touches.

Course Content

All students must complete the five days of core coursework in the following two courses:

  • Machine Learning for Big Data and Text Processing: Foundations
  • Machine Learning for Big Data and Text Processing: Advanced

Students must complete an additional 11 days of coursework from the program’s elective catalog:

  • Advanced Data Analytics for IIoT and Smart Manufacturing
  • AI for Computational Design and Manufacturing
  • AI Strategies and Roadmap: Systems Engineering Approach to AI Development and Deployment
  • Applied Data Science Program: Leveraging AI for Effective Decision-Making
  • Bioprocess Data Analytics and Machine Learning
  • Deep Learning for AI and Computer Vision
  • Designing Efficient Deep Learning Systems
  • Foundations of Data and Models: Regression Analysis
  • Graph Algorithms and Machine Learning
  • Machine Learning for Healthcare
  • Machine Learning for Materials Informatics
  • Reinforcement Learning
  • Advanced Reinforcement Learning

Key Course Details

Best for Current professionals with at least 3 years of experience in a technical field and other professionals looking to integrate AI and ML into their workflows
Experience required None
Course fee Prices per course vary; no overall program cost information is available: Range from $2,500 to $4,700
Duration Self-paced, though all students must complete course requirements within 36 months; the program includes 16 days of qualifying Short Programs courses in Professional Education
Supported language(s) Unknown
Study resources
  • Short Programs courses
  • Online learning
  • Hands-on projects
Study format In-person and online scheduled courses and lectures
Certificate fee $325 application fee; no additional certificate costs

AI for Non-Technical People: A Hands-On Beginner’s Course

AI for Non-Technical People: A Hands-On Beginner’s Course
AI for Non-Technical People: A Hands-On Beginner’s Course

AI for Non-Technical People: A Hands-On Beginner’s Course

AI for Non-Technical People: A Hands-On Beginner’s Course is a short AI training course from Udemy that is designed specifically for business professionals and individuals with no AI or technical experience. The program focuses on the history of AI, practical applications of AI, and the basics of how to build an AI model. Compared to most courses in this guide, this is a great starting point if you’re simply interested in AI but don’t have any foundational skills or experience in related subject matter.

Course Content

The course is divided into four main modules:

  • Introduction to Artificial Intelligence
  • Fundamentals of AI
  • Ethical Considerations
  • Hands-On Project

In the hands-on project portion, users will receive training to build and test an audio model.

Key Course Details

Best for Beginners who are interested in AI and how it works
Experience required None
Course fee $11.99 to $84.99, depending on time of purchase
Duration 1 hour and 16 minutes of online training plus time for hands-on project completion
Supported language(s) English
Study resources
  • On-demand video training
  • Hands-on projects
Study format Self-paced
Certificate fee Included with course fee

Intel Edge AI Certification

Intel Edge AI Certification
Intel Edge AI Certification

The Intel Edge AI Certification is a certification program offered by Intel to users who want to demonstrate their hands-on skills with Intel Edge, AI, and other developer tools. The certification program is less focused on traditional coursework and more focused on hands-on projects and skill development. Though this certification is highly specific to Intel and its products, it’s a good training ground for anyone who wants a more technical training program.

Course Content

Rather than taking premade coursework, students of this certification will complete specific projects and build their own edge AI solutions portfolio. These are some of the projects that are part of this certification program:

  • Supermarket Retail Loss Prevention with Classification
  • Industrial Worker Safety with Object Detection
  • Smart City Data Augmentation with Style Transfer

Key Course Details

Best for Intel product users and professionals interested in developing AI and edge computing competencies
Experience required
  • Intermediate Python programming knowledge
  • Experience working with JupyterLab or Jupyter Notebook
  • Knowledge of CNN-based architectures and deep learning layers
  • Experience working with the Linux command line
  • Experience with OpenCV
Course fee Free
Duration 13 foundational learning plan courses plus three hands-on modules; self-paced, so time to completion varies
Supported language(s) English, German, Spanish, French, Portuguese, Mandarin, Vietnamese, Bahasa Indonesia, and more
Study resources
  • Self-paced online training
  • Virtual classrooms
  • Hands-on projects
  • Assessments
  • Access to edge AI tools and platforms
Study format Self-paced
Certificate fee Certain aspects of certification may cost an additional $99 per year

Graduate Certificate in Ethical Artificial Intelligence

Graduate Certificate in Ethical Artificial Intelligence
Graduate Certificate in Ethical Artificial Intelligence

The Graduate Certificate in Ethical Artificial Intelligence from San Francisco State University is a more academic approach to AI certification that considers the ethics of AI from all angles, using courses in computer science, business management, and philosophy to illustrate the importance of ethical practices with emerging technologies. The course culminates in a 10-page research paper, making this a much more collegiate and academic program than most others on this list.

Course Content

One course from each of the following categorical groups must be completed to earn this graduate certificate:

  • AI Technologies and Applications (computer science coursework)
    • AI Explainability and Ethics
    • Data Mining
    • Pattern Analysis and Machine Intelligence
  • Business Ethics and Regulatory Compliance (management coursework)
    • Ethics and Compliance in Business
  • Ethical Principles (philosophy coursework)
    • Philosophy and Current Applications of Artificial Intelligence
    • Philosophical Issues in Artificial Intelligence

All students must also complete an independent study and research/reflection paper from the perspective of their chosen discipline.

Key Course Details

Best for Current San Francisco State University graduate students and others looking to learn about AI in a multidisciplinary program that covers the philosophy, business strategy, and technical elements behind AI.
Experience required Students of this program must be current graduate students at SFSU or be willing to apply for admission into a graduate business certificate program and have at least a bachelor’s degree. Ideally, students will come from a philosophy, business, or computer science background, as these are the primary disciplines covered in the program.
Course fee Dependent on current registration status with SFSU
Duration 10 course units, with three each coming from approved computer science, business management, and philosophy courses; 1 course unit for independent study.
Supported language(s) Unknown
Study resources
  • Multi-disciplinary and multi-college resources
  • In-person and online courses
  • Research paper
Study format In-person and online scheduled courses
Certificate fee All students must pay a $7 processing fee for the certification

ChatGPT / AI Ethics: Ethical Intelligence in an AI World

ChatGPT / AI Ethics: Ethical Intelligence in an AI World
ChatGPT / AI Ethics: Ethical Intelligence in an AI World

ChatGPT / AI Ethics: Ethical Intelligence in an AI World is a short certification course and program from Udemy that focuses on ethical AI from the angle of some of the emerging generative AI tools that are becoming popular in business and everyday use. Upon completion of this course, students should be able to apply ethical principles and best practices to the usage of ChatGPT and similar generative AI platforms.

Course Content

The course is divided into four main sections with multiple lectures each:

  • Introduction
  • The 5 Ethical Principles Applied to Working with AI / Artificial Intelligence
  • Ethics in the Age of AI: Unraveling Deeper Issues Amidst Current Concerns
  • Concluding Section

Key Course Details

Best for Beginners who are looking to begin using generative AI tools or who are interested in using them in an ethical, compliant way
Experience required None
Course fee $11.99 to 54.99, depending on time of purchase
Duration Two hours of video training
Supported language(s) English
Study resources
  • On-demand video training
  • Downloadable learning resources
Study format Self-paced
Certificate fee Included with course fee

Designing and Building AI Products and Services

Designing and Building AI Products and Services
Designing and Building AI Products and Services

Designing and Building AI Products and Services is an AI-based product design certification course offered by Emeritus in conjunction with MIT xPRO. It’s an 8-week program designed for technology professionals and entrepreneurs.

The course provides learners with an exhaustive understanding of the design principles and applications of AI across various industries. Participants will learn about the stages involved in the design of AI-based products and the fundamentals of machine and deep learning algorithms.

The program is particularly beneficial for technical product managers, technology professionals, and technology consultants who work with AI-based products and solutions. It is also suitable for founders of AI startups and UI/UX designers responsible for managing the user experience of AI-based applications.

Course Content

  • Week 1: Introduction to the AI Design Process
  • Week 2: AI Technology Fundamentals – Machine Learning
  • Week 3: AI Technology Fundamentals – Deep Learning
  • Week 4: Designing Artificial Machines to Solve Problems
  • Week 5: Designing Intelligent Human-Computer Interaction (HCI)
  • Week 6: Superminds: Designing Organizations that Combine Artificial and Human Intelligence
  • Week 7: Marketplace Frontiers of AI Design: Research
  • Week 8: Marketplace Frontiers of AI Design: Practice

Key Course Details

Best for Technical product leaders, UI/UX designers, technology professionals, technology consultants, or entrepreneurs
Experience required Basic Python experience and knowledge of calculus, linear algebra, statistics, and probabilities
Course fee $2,625
Duration 8 weeks, online, 6 hours per week
Supported language(s) English
Study resources
  • Short Programs courses
  • Online learning
  • Hands-on projects
Study format Online courses
Certificate fee Included in the course fee

Artificial Intelligence Professional Program

Artificial Intelligence Professional Program
Artificial Intelligence Professional Program

Offered by Stanford School of Engineering and led by AI experts, the Artificial Intelligence Professional Program course equips participants with the skills and knowledge to build their own AI models and algorithms, innovate and create new solutions for real-world challenges, debug and optimize code, evaluate performance, implement generative language models, and conduct research in the AI field.

The course is offered online and the pace is set by the instructor. Participants will also have the opportunity to collaborate with a group of learners and receive feedback from course facilitators.

Course Content

  • Machine Learning
  • Deep Learning
  • Natural Language Processing and Understanding
  • Supervised and Unsupervised Learning
  • Reinforcement Learning
  • Graph Neural Networks (GNNs)
  • Multi-Task and Meta-Learning

Key Course Details

Best for Working professionals
Experience required
  • Proficiency in Python
  • College calculus and linear algebra
  • Probability theory
Course fee $1,750 per course
Duration 10 weeks per course, 10-15 hours per week
Supported language(s) English
Study resources
  • Short programs courses
  • Online learning
  • Hands-on projects
Study format Online, instructor-paced
Certificate fee Included in the course fee

IBM Applied AI Professional Certificate

IBM Applied AI Professional Certificate
IBM Applied AI Professional Certificate

Taught by six instructors with a combined total of over 3.7 million learners, the IBM Applied AI Professional Certificate is an online program offered by IBM on Coursera. It’s designed for individuals looking to learn how to create AI-powered applications like AI chatbots and virtual assistants.

The program consists of courses covering AI techniques, machine learning, deep learning, natural language processing, image classification, image processing, IBM Watson AI services, OpenCV, and APIs. Participants will learn how to build and deploy machine learning models and use IBM Watson services for AI applications.

Course Content

  • Introduction to AI
  • Generative AI: Introduction and Applications
  • Generative AI: Prompt Engineering Basics
  • Building AI-Powered Chatbots Without Programming
  • Python for Data Science, AI & Development
  • Developing AI Applications with Python and Flask
  • Building AI Applications with Watson APIs

Key Course Details

Best for Beginner level
Experience required No specific prerequisite
Course fee Free (audit), or included with Coursera subscription
Duration 3 months at 10 hours a week
Supported language(s) 20 Languages
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

Introduction to TensorFlow for Artificial Intelligence, Machine Learning, and Deep Learning

Introduction to TensorFlow for Artificial Intelligence, Machine Learning, and Deep Learning
Introduction to TensorFlow for Artificial Intelligence, Machine Learning, and Deep Learning

Introduction to TensorFlow for Artificial Intelligence, Machine Learning, and Deep Learning is a certification course offered by Deeplearning.ai on Coursera. The course covers essential topics such as the fundamentals of machine learning, neural networks, deep learning, and TensorFlow. It includes hands-on practical exercises and assignments to help learners gain valuable experience in using TensorFlow to solve real-world problems.

The certification course is ideal for individuals interested in AI, ML, and DL, including students, software engineers, data scientists, and anyone seeking to expand their knowledge and skills in TensorFlow.

Course content

  • A New Programming Paradigm
  • Introduction to Computer Vision
  • Enhancing Vision and Convolutional Neural Network
  • Using Real-World Images

Key Course Details

Best for Intermediate level
Experience required No specific prerequisite
Course fee Free (audit), or included with Coursera subscription
Duration Approximately 18 hours
Supported language(s) 20 Languages
Assessments Quizzes
Study resources Coursera, video lectures, readings
Study format Self-paced online learning
Certificate fee Included in subscription, or $49 for individual course purchase

CertNexus Certified Artificial Intelligence Practitioner Professional Certificate

CertNexus Certified Artificial Intelligence Practitioner Professional Certificate
CertNexus Certified Artificial Intelligence Practitioner Professional Certificate

The CertNexus Certified Artificial Intelligence Practitioner (CAIP) Professional Certificate is designed for data scientists looking to enhance their skills and knowledge in the AI space.

To earn CertNexus’s CAIP Professional Certificate, learners need to complete the CAIP specialization, which provides a comprehensive understanding of AI and ML concepts, workflows, algorithms, and technologies. The specialization covers topics such as data analysis, model training, regression, classification, clustering, advanced algorithms, and deep learning.

Course Content

  • Solve business problems with AI and ML.
  • Follow an ML workflow.
  • Build regression, classification, and clustering models.
  • Build decision trees, SVMs, and artificial neural networks.
  • Preparing for your CertNexus certification exam.

​​Key Course Details

Best for Intermediate level
Experience required No specific prerequisite
Course fee Free (audit), or included with Coursera subscription
Duration 2 months at 10 hours a week
Supported language(s) 19 Languages
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

Oxford Artificial Intelligence Programme

Oxford Artificial Intelligence Programme
Oxford Artificial Intelligence Programme

The Oxford Artificial Intelligence Programme is a certification course offered by Saïd Business School at the University of Oxford in collaboration with digital education provider GetSmarter. The program aims to provide a sound understanding of AI, including its history, functionality, capabilities, and limitations. The course consists of six weeks of online learning, including empirical research and real-life case studies.

This program is ideal for business professionals looking to blend business with technology, as it allows them to understand AI’s potential as well as its legal and ethical considerations and discover how AI could be applied to benefit their organizations.

Course content

  • Module 1: Artificial Intelligence Ecosystem
  • Module 2: AI and Machine Learning: Understanding the Black Box
  • Module 3: Understanding Deep Learning and Neural Networks
  • Module 4: Working With Intelligent Machines
  • Module 5: The Ethics of Artificial Intelligence
  • Module 6: How to Drive AI in Your Business

​​Key Course Details

Best for Managers and business leaders as well as technical professionals, such as CIOs, IT managers, and business analysts
Experience required No specific prerequisite
Course fee $1,958
Duration 6 weeks, 7–10 hours per week
Supported language(s) Unknown
Assessments Quizzes, practical assignments, and more
Study resources Video lectures, readings
Study format Self-paced learning, entirely online
Certificate fee Included in the course fee

Artificial Intelligence: Implications for Business Strategy

Artificial Intelligence: Implications for Business Strategy
Artificial Intelligence: Implications for Business Strategy

The Artificial Intelligence: Implications for Business Strategy certification course is a six-week online program that provides a foundational understanding of AI and its business implications. It is prepared to provide business leaders with the knowledge to transform their organizations by leveraging AI technologies for business growth.

The course covers key AI technologies such as ML, NLP, and robotics and explores their implications for business strategy. It focuses on the organizational and managerial aspects of AI rather than the technical dimensions. The certification course is developed by professionals from the MIT Sloan School of Management and the MIT Computer Science and Artificial Intelligence Laboratory (CSAIL).

Course content

  • Module 1: An Introduction to Artificial Intelligence
  • Module 2: Machine Learning in Business
  • Module 3: Natural Language Processing in Business
  • Module 4: Robotics in Business
  • Module 5: Artificial Intelligence in Business and Society
  • Module 6: The Future of Artificial Intelligence

​​Key Course Details

Best for Strategic decision-makers — such as aspiring managers, current managers, and high-level executives
Experience required No specific prerequisite
Course fee $3,200
Duration 6 weeks, 6–8 hours per week
Supported language(s) Unknown
Assessments Quizzes, practical assignments, and more
Study resources Video lectures, readings
Study format Self-paced learning, entirely online
Certificate fee Included in the course fee

Columbia Engineering Online Artificial Intelligence Program

Columbia Engineering online Artificial Intelligence program
Columbia Engineering online Artificial Intelligence program

Hosted on the edX platform, the Columbia Engineering online AI program certification course is a non-credit, non-degree executive education program provided by Columbia University’s Fu Foundation School of Engineering and Applied Science.

The AI program certification course covers a range of topics related to AI, including machine learning, deep learning, natural language processing, computer vision, and robotics. Students will learn about the algorithms, models, and techniques used in AI applications and gain hands-on experience through practical exercises and projects.

To apply for this course, you must submit:

  • An online application.
  • University transcripts.
  • Résumé or CV.
  • A 500-word personal or professional statement.
  • An application fee of $85 (waivers available).

Course Content

  • Intro to AI and Business for AI
  • Algorithms and Machine Learning
  • Neural Networks and Deep Learning (DL)
  • Natural Language Processing and Speech
  • Computer Vision and Robotics
  • Security, Privacy, Policy

​​Key Course Details

Best for Tech professionals and business leaders
Experience required Prior programming experience (knowledge of Python, Java, C, or C++ is preferred). A bachelor’s degree is also recommended
Course fee $22,000
Duration 18 months
Supported language(s) Unknown
Assessments Quizzes, exercises, and projects.
Study resources Video lectures, readings
Study format In-person and online
Certificate fee Included in the course fee

BabsonX: AI for Leaders

BabsonX: AI for Leaders
BabsonX: AI for Leaders

BabsonX: AI for Leaders certification course is an online learning program offered by Babson College in partnership with edX. The course provides business leaders with a comprehensive understanding of AI and its strategic implications for business decision-making and innovation. Through this program, participants will be able to develop the necessary skills to harness AI for business growth and competitive advantage.

BabsonX: AI for Leaders is ideal for executives, managers, and entrepreneurs seeking to drive AI-driven transformations within their organizations.

Course Content

  • How platform business models and AI technologies complement each other
  • The characteristics of leaders that embrace AI powered platform business models
  • Where to look for data and what data is valuable to your business and AI
  • How you can get started and the 5 steps for success – which we call PIVOT
  • How your organization and team can catch-up with today’s leaders
  • The economics of these new technologies and business models
  • The 7 attributes of AI led organizations

​​Key Course Details

Best for Leaders, board members, executives, and team leaders
Experience required None
Course fee $249
Duration 4 weeks, 4–6 hours per week
Supported language(s) English
Assessments 25+ exercises and exams
Study resources 40+ videos lectures, real-world case studies, articles
Study format Self-paced, online
Certificate fee Included in the course fee

Intro to AI Ethics

Intro to AI Ethics
Intro to AI Ethics

The Intro to AI Ethics certification course is a 4-hour online course that provides an introduction to the ethical considerations and implications of AI. It covers topics such as identifying bias in AI, ensuring AI fairness, and implementing human-centered design in AI systems. The course is self-paced, allowing participants to complete it at their own convenience, and it is offered for free.

Course Content

  • Introduction to AI ethics.
  • Human-centered design for AI.
  • Identifying bias in AI.
  • AI fairness.
  • Model cards.

​​Key Course Details

Best for All levels and proficiency
Experience required None
Course fee Free
Duration 4 hours
Supported language(s) English
Assessments N/A
Study resources Videos lectures
Study format Self-paced, online
Certificate fee Free

Key Benefits of Earning an AI Certification 

There are several compelling reasons to take AI courses and certifications:

  • Skill development: AI courses provide an opportunity to develop new skills and gain a deep understanding of artificial intelligence concepts.
  • Career advancement: By acquiring AI skills and certifications, you can stand out, increase your employability, and access higher-paying job roles.
  • Industry recognition: AI certifications serve as a recognized proof of your competency.
  • Personal growth: AI courses challenge you to think critically, innovate, and approach problems from a different perspective.
  • Market demand: The skills gained through AI courses and certifications are highly sought after by industries across sectors, including healthcare, finance, retail, manufacturing, and more. These courses can open up diverse job prospects and increase your job market value.

How to Choose the Best AI Certification for You

When researching the best AI certification course for you, you must consider certain factors unique to your professional career. The best AI certification course for you will depend on your learning objectives, current field/industry knowledge, and learning budget. The list below can help you select the best course for you.

  1. Learning objectives: Look for a course that covers the specific areas of AI that you are interested in or want to specialize in, such as machine learning, natural language processing, or computer vision. Also consider the depth and breadth of the course curriculum to ensure it aligns with your learning goals.
  2. Course format and delivery: Consider your preferred mode of learning, whether it’s online, in-person classroom training, or a combination of both.
  3. Instructor expertise: Check the qualifications, industry experience, and expertise of the course instructors.
  4. Course resources: Consider the support and resources available during and after the course.
  5. Cost: Evaluate the course fees and compare them with the value and benefits you will receive. Consider any financial aid or scholarships available.
  6. Certification and career outcomes: Check if the course provides a recognized certification upon completion and consider the career outcomes and job placement records of the course graduates.

Remember that AI is a practical field, so seek courses that emphasize hands-on projects and real-world applications.

Frequently Asked Questions (FAQs)

We answered some commonly asked questions to help you prep for the AI cert course and determine which AI certification to get first.

How Do You Prepare for an AI Certification?

Preparing for an AI certification requires a combination of fundamental knowledge and practical skills. To achieve this, you must familiarize yourself with the certification requirements, assess your existing knowledge, and gather relevant study materials, such as textbooks, online courses, tutorials, video lectures, or practice exams. You also need to create a study plan to enable you to gain hands-on experience for the AI certification.

Which AI certification should I get first?

The choice of which AI certification to pursue first depends on various factors unique to you, including your background, career goals and the specific areas of AI that interest you.

For example, our evaluation found that BabsonX: AI for Leaders and Artificial Intelligence: Implications for Business Strategy are ideal for business leaders, while Fundamentals of Google AI for Web-Based Machine Learning, Computer Science for Artificial Intelligence and AI for Everyone are quality resources for beginners.

AI experts looking to advance their careers may find advanced courses like AIE Certification Process by ARTiBA, IBM AI Engineering Professional Certificate and CAIS a suitable certification.

Can you get a job in AI with just certifications?

While AI certifications can certainly enrich your resume and demonstrate your knowledge and skills in a particular area of AI, they alone may not be sufficient to land a job. Employers often look for a combination of education, certifications, practical experience and strong problem-solving skills.

Bottom Line: AI Certifications

AI is currently a sweet spot of growth in the technology sector and will likely remain so for a very long time as many organizations now incorporate AI into their solution stacks. Acquiring an AI cert should not be a matter of just ticking a box on your resume but rather a genuine pursuit of knowledge and skill development.

We recommend that you carefully consider your career objectives, skill level, and interests before choosing an AI certification, as this will help you find a certification that aligns perfectly with your professional goals.

Read next: The AI Market: An Overview

To learn more about future direction in AI, to help you better plan your career in this rapidly changing sector, see our guide:  The Future of Artificial Intelligence.

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