As technology is growing, artificial intelligence is evolving with time. Due to AI the landscape is transforming and reshaping the industries, demanding expertise in AI. The demand for professionals is increasing which makes AI education very essential. Individuals are now engaging themselves in certification courses so that they can compete in new markets. In modern era, several AI certifications are important that can provide comprehensive training. These courses will help in setting future goals and impact career advancement. Here, we will discuss in detail the top 10 AI certifications.

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Microsoft Certified: Azure AI Engineer Associate

Your proficiency in designing, creating, and implementing AI solutions on Microsoft Azure is verified by this certification. It covers machine learning, cognitive services, Azure AI services, and AI fundamentals. Microsoft offers an Azure AI Engineer Associate certification that attests to a person’s proficiency in developing and executing AI solutions utilizing Azure technologies. It includes Azure Applied AI services and Azure Cognitive Services.

Microsoft claims that upon completing this course, you will be able to plan and oversee the implementation of an Azure AI solution. It will enable a person to implement solutions for knowledge mining, conversational AI, image and video processing, and natural language processing.

Experience Required

• Proficiency with C# and Python programming.
• The prerequisites for each learning path differ.

Course Details

• The duration of this course is 114 hours and 37 minutes.
• English and 12 other languages are supported languages for this course.
• Assessment can be done through online exams.
• The fee for this course is $165. A certification fee is also included.

 IBM AI Engineering Professional Certificate

This course will help you to learn new skills and will enhance the knowledge that is required for AI engineers. It covers computer vision, natural language processing, deep learning, and machine learning. The completion of this intermediate-level certification takes about two months. Python libraries, deep learning, artificial intelligence, machine learning, hierarchical clustering, image processing, and other subjects are covered. It will require ten hours a week to finish. It consists of six courses that teach students how to write Python code to implement different classification techniques.

It includes regression trees, decision trees, and K-nearest neighbors (KNN). This course also teaches how to build Deep Neural Networks using PyTorch; and how to process and analyze images for computer vision problems. The final course includes a deep learning AI capstone project.

Experience required

The IBM AI Engineering Professional Certificate is an intermediate-level course that is best suited for people with some prior programming and computer science experience. There are no specific prerequisites.

Course Details

• The supported language for this course will be English. 
• Assessment will be done through quizzes.
• The fee for this course is $49. It also includes a subscription.

Google AI Certification

This certification attests to your proficiency in applying Google Cloud AI to practical problem-solving. It covers computer vision, natural language processing, deep learning, and machine learning. The basics of artificial intelligence are covered, along with how AI affects our day-to-day activities. Six modules make up the lessons, which should take 30 hours to finish. There is no cost for the course.

Fundamentals of Google AI Certification

• Covering the fundamentals of AI is the course’s primary goal. 
• Students can enroll in this course without any prior coding experience because it is intended for beginners. 
• The basics of artificial intelligence are covered, along with how AI affects our day-to-day activities.
• Six modules make up the lessons, which should take 30 hours to finish.
• There is no cost for the course. 
• Students will be able to define artificial intelligence (AI), understand its workings, and recognize associated technologies after finishing this course. 

Certified Artificial Intelligence Scientist (CAIS)

The United States Artificial Intelligence Institute’s Certified Artificial Intelligence Scientist certification is among the best in artificial intelligence.  Many AI topics, including computer vision with reinforcement learning, deep learning, and machine learning, are covered in this extensive curriculum. To improve practical AI skills, CAIS also offers real-world projects and experiential training.

Key Course Details

• The duration of this course is 4-25 weeks.
• The fee for this course is $894. The certification fee is also included.
• The economics of AI is also included in the course content.

Artificial Intelligence A-Z™

The Artificial Intelligence A-Z™ course is an online learning program that caters to a wide audience, from beginners with no prior AI knowledge to professionals. This course was created by Udemy. Participants are free to move through the material at their own pace. Each module is divided into manageable segments. The course can be completed in a short period by dedicating more time each day. 

Fee Structure

It is a one-time payment and will provide lifetime access to course material. The fee for this course is $34.99, making it cost-effective. The course fee includes a 30-day money-back guarantee. This time is ample to decide about the method of teaching and content of the course.

Course Content

• Introduction to AI
• Python Programming for AI
• Data Preprocessing and Exploration
• Supervised Learning Algorithms
• Unsupervised Learning Algorithms
• Deep Learning
• Natural Language Processing (NLP)
• Reinforcement Learning
• Real-World Applications

Artificial Intelligence Engineer (AIE)

This certificate will enable you able in design, create, and implement AI solutions. It covers computer vision, natural language processing, deep learning, and machine learning. The Artificial Intelligence Board of America (ARTiBA), a professional membership organization committed to advancing artificial intelligence (AI) practices, provides the Artificial Intelligence Engineer (AIE) certification process.

People who want to become certified as AIEs must go through a rigorous evaluation process that measures their proficiency in a variety of AI-related fields. 

Course Content

• Essentials of Artificial Intelligence & Machine Learning.
• Essentials of AI & ML Programming.
• Essentials of Natural Language Processing.
• Essentials of Neural Networks & Deep Learning.

Key Course Details

It is an advanced-level course. The fee is $550 which includes the certification fee. 

Artificial Intelligence Graduate Certificate

The organization that awards the Artificial Intelligence Graduate Certificate is Stanford School of Engineering. It necessitates a substantial time investment because it is structured like a degree program. You should plan on spending 15 to 20 hours a week on lectures and homework. You must pass three elective courses and one required course with a B (3.0) or higher to be eligible for the certificate.

The principles and practices of AI, machine learning, computational logic, natural language processing, natural language understanding, robotics, deep learning, computer vision, and more are covered in this program.

The Essentials of Artificial Intelligence Graduate Certificate

On average, the cost can range from $18,928 – $23,296. It can vary depending on the textbooks, software, and other resources. The duration is 1 to 3 years, depending on the learner’s pace. 

NVIDIA Deep Learning Fundamentals

You will learn the foundations of deep learning in this course. It covers subjects like deep learning frameworks, recurrent neural networks, and convolutional neural networks. Users can learn and customize AI skills from the NVIDIA Deep Learning Institute. Through a combination of practical, open-source projects and project-based assessments, students in this program will learn. This course is free of cost.

Experience Required

It is advised that candidates for the certification know the fundamentals of Python and Linux. It is also recommended that candidates for the certification program have prior teaching or training experience.

Course Content

All students wishing to become certified should follow this course content

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

DeepLearning.AI Deep Learning Specialization

Using deep learning to solve practical problems is what this specialization teaches you. Topics like deep learning frameworks, recurrent neural networks, and convolutional neural networks are covered. Created by Andrew Ng, co-founder of Google Brain and a prominent figure in the AI community, this specialization provides participants with a hands-on and in-depth exploration of deep learning.

Fee Structure

Coursera’s standard pricing model can decide the fee structure. Learners have the option to pay per course. The option of a discounted rate is also available. Payment options are flexible. 

Course Content

• Neural Networks and Deep Learning
• Improving Deep Neural Networks: Hyperparameter Tuning, Regularization, and Optimization
• Structuring Machine Learning Projects
• Convolutional Neural Networks (CNNs)
• Sequence Models

MIT Professional Education AI Certification

If you are a technical product leader, technology professional, technology consultant, or entrepreneur looking to expand your knowledge of AI technology principles and tools and learn about different design processes used in AI-based products, this 8-week course is perfect for you. It helps to have some familiarity with Python as well as knowledge of statistics, probability, linear algebra, calculus, and probability. 

Program Highlights

• Insights and examples from renowned MIT faculty.
• Market-ready skills for evaluating the opportunity for AI solutions and making the case for it.
• Advance your knowledge through crowdsourcing, demos, and design-support activities.

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Conclusion

As technology is growing rapidly, professional courses are crucial for professionals in their careers. The top 10 AI certifications are mentioned above. All courses help to learn unique skills and provide theoretical knowledge. Investing in AI certification will open doors for exciting opportunities that will define the future. The field of Artificial Intelligence (AI) is advancing, and acquiring a relevant certification is essential for professionals. It is essential for those who are aiming to stay competitive in this dynamic landscape. 

The diverse nature of these certifications will make individuals specialize in different areas. These certificates provide a structure to set the skills for future development. Certification from a reputable institution will increase the worth of your certification. AI domain can open doors to exciting career opportunities. The certifications highlighted in this article serve as a roadmap for professionals. This course will help to make career goals and choices.