Artificial Intelligence has become a huge part of various industries and activities such as Manufacturing, Advertising, Content Creation, Customer Service, Legal, etc.
More and more companies are integrating AI into their systems, processes, and products. According to one report, Global Edge Artificial Intelligence (AI) Software Market Size is likely to reach USD 5,241.46 million by 2032.
This has resulted in many students and employees wondering if is there any certification for artificial intelligence.
Well, yes there are plenty of AI certifications available that can help you learn the basic understanding of AI, its applications, strategies, etc, and advance your career with better opportunities.
In this article, we are going to take a look at What’s the Best Artificial Intelligence Certification for beginners, professionals, and AI enthusiasts in the market. So, let’s get started.
Best Artificial Intelligence Certification
We have collected some of the world’s best artificial intelligence certifications that can help enhance your knowledge of AI and ML and increase opportunities for you in the AI domain.
1. Artificial Intelligence Graduate Program by Stanford University School of Engineering
Stanford University School of Engineering provides a graduate certification in Artificial Intelligence that provides detailed knowledge regarding the principles and methodologies of AI technology.
This certification includes all the foundations of AI including machine learning, knowledge representation, robotics, probabilistic models, and natural language processing.
Students can select their desired path from a variety of electives including Robotics, Natural language processing, Vision, and Data mining.
AI Courses are taught by some of the most prominent Stanford faculties whose research is at the forefront of emerging AI developments, including Andrew Ng, Christopher Manning, Chelsea Finn, Percy Liang, and Jeanette Bohg.
Requirements:
To pursue this certification you need a Bachelor’s Degree with a 3.0 grade point average. Mastery of the prerequisite subject matter including probability, calculus, statistics, and linear algebra, and experience programming in C/C++, Java, Python, or other similar languages.
2. Designing and Building AI Products and Services by MIT xPro
Designing and Building AI Products and Services by MIT xPro is an online course developed for technical product leaders, technology consultants, technology professionals, and entrepreneurs who want to gain knowledge about AI technology, its fundamentals, and tools.
The duration of this course is 8 weeks which takes place for 6 hours per week. This course can help guide and explore people to various design processes that involve numerous AI-based products.
The topics of this course will include stages involved in designing an AI-based product with a major focus on the specifics including the cost metrics and technical requirements.
You will identify various machine learning algorithms. In addition to unsupervised and semi-supervised methods of machine learning algorithms and identifying superhuman intelligence used in an AI product.
Prerequisites:
This course is perfect for technical product managers, technology professionals, consultants, UI/UX designers, entrepreneurs, and AI startup founders.
3. Artificial Intelligence: Business Strategies and Applications by UC Berkeley Executive Education and Emeritus
This course provides in-depth learning about the basic applications of Artificial intelligence for those in businesses.
In addition to AI’s current capabilities and potential, this program also provides detailed information about the reach of machine learning, automation, and robotics.
This program consists of a total 8 modules which are: Introduction to AI and Business, Machine Learning Basics, Neural Networks and Deep Learning, Key Applications: Computer Vision and Natural Language Processing, Robotics, AI Strategy, AI and Organizations: Building Your AI Team, and The Future of AI in Business.
Prerequisites:
This course is specially developed for Senior leaders, Functional business heads, Senior managers and executives who have experience in managing teams and AI-driven projects, Mid-career professionals, Data Scientists, analysts, and professionals.
4. IBM Applied AI Professional Certificate (via Coursera)
IBM’s AI Professional Certificate can help kickstart your career in Artificial intelligence.
This program provides an in-depth understanding and definition of AI, its application, and use cases, and provides essential information and understanding of various terms such as Machine learning, Deep learning, and Neural networks.
This certification helps students learn about the process of creating an AI chatbot and virtual assistants without the use of any programming and deploying them on websites. Build an AI-powered solution using Python, APIs, and IBM Watson AI services with simple and minimal coding needs.
Requirements:
Anyone can apply for this course, whether you are a student, developer, technology consultant, people with non-technical backgrounds, etc.
5. AI for Everyone by Andrew Ng (via Coursera)
AI for Everyone by Andrew Ng is a beginner-level course on Artificial intelligence that covers basic topics of AI along with common AI terminology such as Machine learning, Deep learning, Neural networks, and Data science.
This program consists of 4 modules: What is AI, Building AI Projects, Building AI in your company, and AI and Society. This course is largely non-technical, although engineers can enroll to gain knowledge regarding the business aspects of AI.
This course provides a clearer picture of the things AI can and not do, how to spot opportunities to apply AI to issues in your company, how to work with an AI team and develop an AI strategy, how to navigate ethical and societal discussion, and more.
The best part about this course is that it’s available in 8 languages and users can switch between translations using the language menu after they enroll.
Requirements:
This course is available for everyone and anyone with or without technical expertise can enroll for this AI program.
6. Introduction to TensorFlow for Artificial Intelligence, Machine Learning, and Deep Learning (via Coursera)
This Deeplearning.ai program covers best practices using TensorFlow, an open-source framework. This course contains 4 modules: A New Programming Paradigm, an Introduction to Computer Vision, Enhancing Vision with Convolutional Neural Networks, and Using Real-world Images.
Based on this modulus, students will learn a soft introduction to Machine Learning and Deep Learning, solve problems of computer vision with just a few lines of code, understand deep neural networks, and more.
This program is also available in 8 languages and students can switch between translations using the language menu after they enroll. This is one of four courses that are included in the DeepLearning.AI TensorFlow Developer Professional Certificate.
Prerequisites:
This course is perfect for a software developer looking to build a scalable AI-powered algorithm that needs to understand the basis and the methods of how to use the tool in order to build it. This course helps teach students the best practices using TensorFlow.
7. Artificial Intelligence A-Z: Learn How to Build an AI (via Udemy)
This is an excellent course that can help students learn key AI concepts and intuition training. This course can help students transform from a beginner to expert in AI skills.
This course will provide a precise and straightforward guide on how to build an AI, along with an understanding of the theory behind AI, Real-world problems associated with Artificial Intelligence, Q-Learning, and much more.
In addition, this program also helps you learn how to code self-improving AI for a range of purposes and helps you understand how codes come together.
It also provides downloadable Python code templates for every AI you build in the course. Udemy provides a team of professional Data Scientists to help you learn about AI properly.
Requirements:
Anyone who is interested in Artificial Intelligence can enroll in this course and gain a better and more detailed knowledge about AI. Although you need to be familiar with High School Maths and Basic Python knowledge.
8. Artificial Intelligence: Reinforcement Learning in Python (via Udemy)
This course by Udemy provides a complete guide to Reinforcement Learning, with Stock Trading and Online Advertising Applications.
This program will help students learn about gradient-based supervised machine learning methods for reinforcement learning and implement 17 types of reinforcement learning algorithms.
Apart from this, students will also learn about the relationship between psychology and reinforcement learning along with learning reinforcement on a technical level. So, if you are someone who wants to learn about Reinforcement then this course is perfect for you.
Requirements:
Any Student or professional who wants to learn about artificial intelligence, data science, machine learning, and deep learning can sign up for this course.
It is suggested to have knowledge of Calculus, Probability, Object-oriented programming, Python coding (if/else, loops, lists, dicts, sets), Numpy coding (matrix and vector operations), Linear regression, and Gradient descent.
9. Artificial Intelligence Engineer (AIE) Certification Process by the Artificial Intelligence Board of America (ARTiBA)
The Artificial Intelligence Engineer (AIE) is one of the most powerful qualifications in Artificial intelligence as it helps build a future that comes too soon. The AiE™ certification process helps position its users as expert AI engineers and technologists due to the basis of knowledge and skills.
The AIE course by ARTiBA covers a wide range of AI topics that can help enhance students’ knowledge. The course covers an enormous range of AI concepts of Neural networks, Deep learning, Machine learning, Natural language processing, Supervised learning, Regression, and more.
Requirements:
This course can be pursued by both students as well as professionals although you need to have a certain level of experience and education requirements including associate’s (AIE track 1), bachelor’s (AIE track 2), and master’s (AIE track 3) degrees.
In track 1, you need two years of work experience in any computation subfunctions. For tracks 2 and 3 you only require an understanding of programming, while the work experience is not mandatory.
10. Master the Fundamentals of AI and Machine Learning (via LinkedIn Learning)
This is an amazing program that can provide precise and straightforward knowledge and learning of how AI and machine learning work.
With this course, you can learn how leading companies are using AI and machine learning to change the way they do business and much more. With this program students and professionals can learn about various aspects of AI such as Neural networks, Machine learning, and much more.
The Master the Fundamentals of AI and Machine Learning includes 10 courses which are as follows:
- AI Accountability Essential Training
- AI The LinkedIn Way: A Conversation
- Artificial Intelligence for Project Managers
- Artificial Intelligence Foundations: Thinking Machines
- Learning XAI: Explainable Artificial Intelligence,
- AI Algorithms for Gaming,
- Artificial Intelligence Foundations: Machine Learning,
- Artificial Intelligence Foundations: Neural Networks,
- Cognitive Technologies: The Real Opportunities for Business
- Artificial Intelligence for Cybersecurity
Requirements:
This course is open to everyone and anyone can enroll in this LinkedIn Learning program to gain mastery in AI and ML.
FAQ’s
Is a certificate in AI worth it?
Yes, getting a certificate in AI will help enhance your knowledge about Artificial Intelligence especially if you are a beginner which can help set yourself apart from other tech talents and help advance your career resulting in more job opportunities.
Is AI 900 certification worth it?
Yes, AI 900 certification is definitely worth it for those individuals who want to understand the concept of AI and Microsoft Azure AI services thoroughly. This certification is excellent for beginners as well as non-technical professionals who want to enhance their knowledge of Artificial Intelligence.
Conclusion
Artificial Intelligence is taking over the world with various companies accessing AI technologies to perform their automation tasks, research, customer support, and much more, helping businesses become more productive.
This has increased the demand for AI certifications in the market and more students and professionals are now looking forward to enrolling in an AI course to understand the basis, AI Business strategies, Fundamentals of AI, How to build an AI, and much more.
Therefore, above we have listed down some of the best AI certifications that can help improve your knowledge of AI. We hope this article has helped you find a suitable course for yourself.
