People who take the time to learn about AI have a better chance of finding success in the field. The value of the artificial intelligence (AI) industry is projected to reach US$ 1,597.1 billion by 2030, per estimates from Precedence Research. Artificial intelligence is poised to become the defining technology for facilitating the transformation of businesses and making them more competitive. If you are starting your career, getting certified in AI will set you apart from the competition. To advance in your work, we recommend the following artificial intelligence certifications:
1. Google AI
Key Features
- There are no hard and fast rules.
- It is recommended that you have some familiarity with programming fundamentals.
- Fee-Free Courses
- Having prior knowledge of Python is recommended but not needed.
What I Like
As was previously noted, the online platform has an option that lets you zero in on the specific kind of material and industries that most interest you. Because of this, the course material varies by major and skill level. One video, “The seven steps of Machine Learning,” provides a basic introduction to creating ML models and guides beginners through it.
What I dislike
But if you’re an experienced software engineer with a background in AI who wants to build an ML model, I’m not sure this course is necessary.
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2. Master the Fundamentals of AI and Machine Learning (LinkedIn Learning)
Key Features
- Conceptual Groundwork for AI: Intelligent Robots
- Beginning Deep Learning
- Timespan: 9 hours, 27 minutes
- Introduction to Machine Learning: Algebra Linear
- Beginning Deep Learning
- TensorFlow with Natural Language Processing for Deep Learning
- In-Depth Python Tutorial on Computer Vision
- The Basics of Reinforcement Learning
What I like
The courses assume familiarity with mathematics and minimal familiarity with programming. You can access various practice files, the LinkedIn Learning portal, and even extra video lessons.
What I dislike
I imagine the cost to be quite high.
Price of Master the Fundamentals of AI and Machine Learning (LinkedIn Learning)
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3. IBM Applied AI Professional Certificate (Coursera)
Key Features
- Knowledge of maths and programming fundamentals is helpful.
- Courses are either free or bundled with A Paid Membership to Coursera
- Having prior knowledge of Python is recommended but not needed.
- Tests, peer reviews, and practical exercises
What I like
You’ll also learn how to use existing AI expertise in your products and services. As a result of completing the IBM Applied AI Professional Certificate program, you will have created multiple projects that showcase your expertise in applying AI and developing AI-driven solutions.
What I dislike
The cost of the certificate must be substantial, considering that it is bundled into the subscription price of $39 a month.
Price of IBM Applied AI Professional Certificate (Coursera)
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4. Artificial Intelligence: Business Strategies and Applications (UC Berkeley)
Key Features
- There is a predetermined set of steps that all participants must take.
- Online courses with a teacher present
- It helps to have some familiarity with management and business principles.
- Having a fundamental familiarity with AI technology and its potential uses is helpful.
What I like
Many Study Tools, including the UC Berkeley platform, educational videos, books, and case studies, are available.
What I dislike
The price tag is prohibitive, considering there will only be two months of instruction.
Price of Artificial Intelligence: Business Strategies and Applications (UC Berkeley)
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5. AI for Everyone by Andrew Ng (via Coursera)
Key Features
- Create experiments in machine learning and data science
- Take on the debates over AI’s impact on society and ethics
- Explore the potential business applications of AI
- Finding the limits of artificial intelligence.
What I like
This course is designed for those with little to no background in artificial intelligence, and it explains concepts like artificial neural networks, deep learning, machine learning, and data science. The course is entirely web-based and will take about 12 hours of your time.
What I dislike
Certificates are free with a subscription or can be purchased separately for $49.
Price of AI for Everyone by Andrew Ng (via Coursera)
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6. Artificial Intelligence A-Z 2023: Build an AI with ChatGPT4 (Udemy)
Key Features
- The ability to program at a basic level (with Python, ideally).
- Independent study at one’s own pace
- Math skills are equivalent to those taught in a high school setting.
- Tests and real-world assignments
- Zero AI IQ or knowledge required.
What I like
This course emphasizes learning by doing, or “active learning,” with the help of guided experiments and hands-on activities. This Udemy best-seller is perfect for anyone interested in learning the fundamentals of AI application development.
What I dislike
You can now expect to meet any issue, as the course has been modified to include ChatGPT4 in the AI construction process.
Price of Artificial Intelligence A-Z 2023: Build an AI with ChatGPT4 (Udemy)
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7. Intro to TensorFlow for Deep Learning- Udacity
Key Features
- Free
- The length of the program is around 2 months.
- There is no prerequisite knowledge of AI or TensorFlow.
- Convolutional Neural Networks: A Tool for Better Vision
What I like
In this free, intermediate-level course, learn how to use the TensorFlow machine learning framework to create deep learning applications. Topics covered range from NLP to forecasting time series to transferring knowledge between systems.
What I dislike
The course is very hands-on, and the only prerequisite is knowledge of Python.
Price of Intro to TensorFlow for Deep Learning- Udacity
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8. Microsoft Certified Azure AI Fundamentals
Key Features
- An elementary familiarity with AI principles and Azure features is recommended but not needed.
- Real-world applications of artificial intelligence across industries
- Implementing AI solutions: lessons learned from real-world Azure projects
What I like
Microsoft regularly revises the course material to reflect the most up-to-date skillsets in the artificial intelligence (AI) industry. In doing so, you’ll show that you understand typical AI and ML workloads and how Azure features can help with them.
What I dislike
Prior knowledge or expertise with programming is helpful but not required for this course.
Price of Microsoft Certified Azure AI Fundamentals
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9. Certified Artificial Intelligence Engineer — United States Artificial Intelligence Institute
Key Features
- A primer on these subjects
- Approximately 8-10 hours each week of detailed video for each session
What I like
You can choose between two application tracks based on your educational and professional history. It covers several areas: artificial intelligence, machine learning, deep learning, reinforcement learning, machine vision, NLP, and RL.
What I dislike
Students at undergraduate or graduate levels or professionals with less than two years of experience are eligible to apply. All of the videos and study guides are included in the $581 price.
Price of Certified Artificial Intelligence Engineer — United States Artificial Intelligence Institute
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10. MicroMasters® Program in Artificial Intelligence by Columbia University (edX)
Key Features
- Learn the basics of artificial intelligence.
- Take classes taught by industry leaders at Columbia University.
- Implement machine learning ideas into practical contexts
- Create and use neural networks to their full potential.
What I like
The course material is free to access online, with certification costing extra. The course also features a variety of other learning activities, such as quizzes, programming tasks, peer-reviewed assignments, online discussion boards, and video lectures. Both theoretical and practical aspects are covered extensively throughout the courses, with several exercises and projects provided.
What I dislike
To get a certificate from Columbia University’s MicroMasters program, students must subscribe and complete all required courses.
Price of MicroMasters® Program in Artificial Intelligence by Columbia University (edX)
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Conclusion
Certified professionals in artificial intelligence have completed a comprehensive training program. In today’s data-driven world, executives need a thorough understanding of the ethical implications of AI and the risks it poses to individuals and businesses. Obtaining these credentials could help them in their pursuit.