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Artificial Intelligence

Top AI Certifications to Stand Out to Employers

Tech Hiring Company Chicago - Peterson Technology Partners
Tech Hiring Company Chicago - Peterson Technology Partners
AI Certifications 2025

As the race to digital transformation continues, more and more organizations are feeling the pressure to implement AI solutions. It’s been established that AI skills are in demand. For example, Robert Half’s 2025 Salary Guide reveals that 54% of hiring managers are seeking completely new skill combinations linked to AI.  

Employers are now ready to separate the ChatGPT prompt engineers from the machine learning engineers. That’s why leveraging AI certifications to boost your resume is a great strategy. 

In this PTP Report, we’re listing the top AI certifications for career advancement, whether you’re a tech professional looking to upgrade your skills, a manager looking to lead your team into the future, or a non-tech professional looking to pivot into the exciting, lucrative field of AI. 

Top AI Certifications

Certified Artificial Intelligence Scientist (CAIS)  

Issued by the United States Artificial Intelligence Institute (USAII), this is among the best AI certifications for senior professionals with little technological experience—i.e., managers, directors, and CXOs—who want to better lead their teams into the age of AI. This program focuses on strategic and secure AI use for business and finance.  

Microsoft Certified: Azure AI Engineer Associate  

A study by Revelio Labs found that postings for jobs requiring Azure skills rose to 34% from 21% in 2017, making this one of the most in-demand AI certifications recognized by employers.  

This certification—which focuses on building, deploying, and managing AI solutions on Microsoft Azure—is ideal for AI engineers, data scientists, data engineers, and other IT professionals looking for a competitive edge. 

IBM AI Engineering Professional Certificate  

Offered by Coursera, this certification helps professionals build a solid foundation in deep learning and machine learning algorithms. This program consists of practical projects using in-demand tools and frameworks like Keras, PyTorch, and TensorFlow.  

Participants will be able to demonstrate their deep learning and machine learning capabilities. 

AWS Certified Machine Learning – Specialty  

This foundational certification assesses participants’ knowledge of AI, ML, and genAI concepts and use cases on the AWS cloud platform, including a beta exam. In addition to covering foundational AI concepts, this program also covers responsible AI practices and security and compliance for AI systems. 

[Learn how businesses are moving toward practical AI implementation in this PTP Report.] 

Professional Certificate in Machine Learning and Artificial Intelligence  

Taught by MIT’s AI professors, this program operates like a traditional college course, taking place in the summer either online or on MIT’s campus. The course is recommended for professionals with at least three years in computer science, statistics, physics, or electrical engineering, who want to learn more about predictive modeling. 

Google Professional Machine Learning Engineer  

This program equips professionals with fundamentals in machine learning that are immediately applicable to the current problems businesses face. Participants will learn to create, deploy, and fine-tine models for real-world use cases, mastering tools like TensorFlow and Vertex AI. 

Deep Learning Specialization 

Designed by Andrew Ng, Founder & CEO of DeepLearning.AI, this program teaches participants to build and train deep neural networks. Combining foundational concepts with practical applications, it is an ideal course for professionals looking to land roles like Deep Learning Engineer, Computer Vision Specialist, and AI Researcher. 

TensorFlow Developer Certificate  

This course, which calls itself “Your Gateway to Machine Learning,” is perfect for professionals looking to begin their AI journey. TensorFlow is one of the most popular open-source machine learning libraries, and gaining proficiency can help developers, data scientists, engineers, and AI researchers excel in their careers. 

Artificial Intelligence Graduate Certificate  

The AI graduate certificate by Stanford University School of Engineering covers the intricate technologies that form AI—from probabilistic models to natural language processing to robotics.  

This course has robust prerequisites, including the completion of one or two required courses and two or three elective courses, with a 3.0 grade or higher. 

Artificial Intelligence Engineer (AIE) Certification Process by the Artificial Intelligence Board of America (ARTiBA) 

The ARTiBA offers a three-track AI learning deck, where each track is designed for various educational levels (Associate’s, Bachelor’s, and Master’s).  

This program is ideal for professionals who want to level up into senior positions, whether as individual contributors or managers. 

[Learn more about the rising demand of AI skills in this PTP Report.] 

Conclusion 

Ready to arm yourself for the age of AI? These AI certification courses will help you stand out to employers and grow your career. Remember, pursuing IT certifications is a commitment of time, energy, and money; rather than trying to collect them all, choose the right certifications for your level of expertise and desired career path. 

When you’re ready to show off your qualifications to potential tech employers, make sure to browse PTP’s job board for your next opportunity. PTP has been matching IT talent with top companies for over 27 years. Join our premiere talent pipeline to set yourself up for tech career success. 

FAQ 

 

Where do you list IT certifications on your resume? 

Typically, certifications are listed at the bottom of your resume. However, it’s best to lead with the most important qualifications, so if you don’t yet have a ton of relevant work experience, you may want to list certifications at the top.

 

What other IT roles benefit from certifications? 

Any professional in data science/analytics, project management, cybersecurity, IT infrastructure, or the cloud will likely require or at least benefit from obtaining certifications.

 

Can I build a successful career in AI without certifications? 

Yes, as long as you can prove you are qualified via work experience and projects. That said, top certification courses like the ones listed above come ready with the most current, in-demand teachings, and having them on your resume is a straightforward signal to employers that you are equipped with relevant knowledge and skills. 

WRITTEN BY

Nick Shah
Nick Shah

CEO of PTP

As the race to digital transformation continues, more and more organizations are feeling the pressure to implement AI solutions. It’s been established that AI skills

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