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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.
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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.
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.
To discover today’s top generative AI certifications to boost your career, see our guide: 12 Best Generative AI Certifications 2024
AI For Everyone (Coursera)
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)
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 |
|
| Course fee | $894 |
| Duration | 4-25 weeks or 8 –10 hours per Week |
| Supported language(s) | English |
| Study resources |
|
| 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
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
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
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 AI With ChatGPT4 (Udemy)
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 |
|
| 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)
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 |
|
| 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
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 |
|
| 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 |
|
| Study format | Online, instructor-led |
| Certificate fee | Included in the course fee |
Microsoft Certified: 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 |
|
| 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 |
|
| 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
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 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 |
|
| Study format | Self-paced |
| Certificate fee | Included with course fee |
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 |
|
| Study format | Self-paced |
| Certificate fee | Free |
Professional Machine Learning Engineer (Google Cloud)
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 |
|
| Study format | Self-paced studying with a timed examination |
| Certificate fee | $200 |
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 |
|
| Study format | Online courses with cohort-wide learning schedules |
| Certificate fee | Included with course fee |
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 |
|
| Study format | Self-paced |
| Certificate fee | Included in course fee |
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 |
|
| 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 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 |
|
| Study format | Self-paced |
| Certificate fee | Included with course fee |
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 |
|
| 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 |
|
| Study format | Self-paced |
| Certificate fee | Certain aspects of certification may cost an additional $99 per year |
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 |
|
| 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 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 |
|
| Study format | Self-paced |
| Certificate fee | Included with course fee |
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 |
|
| Study format | Online courses |
| Certificate fee | Included in the course fee |
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 |
|
| Course fee | $1,750 per course |
| Duration | 10 weeks per course, 10-15 hours per week |
| Supported language(s) | English |
| Study resources |
|
| Study format | Online, instructor-paced |
| Certificate fee | Included in the course fee |
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 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
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
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
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
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 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
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.
- 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.
- Course format and delivery: Consider your preferred mode of learning, whether it’s online, in-person classroom training, or a combination of both.
- Instructor expertise: Check the qualifications, industry experience, and expertise of the course instructors.
- Course resources: Consider the support and resources available during and after the course.
- Cost: Evaluate the course fees and compare them with the value and benefits you will receive. Consider any financial aid or scholarships available.
- 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.
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.