AI certifications: What employers actually want in 2026
It might be tempting for IT pros to line up certification training to start the year, especially in artificial intelligence. There are indeed a few that are best-bets to help advance a worker or job candidate.
But several staffing experts caution that certifications should be tied to workplace experiences to be of greatest value, and that the array of certifications one might hold should complement each other. Each certification should measure an ability to tie technology proficiency to business needs – not just the ‘how to do it,’ but also the ‘why to do it.’
“It is important when hiring and managing IT pros to understand their areas of strength and how to map projects accordingly,” explains Amalia Barthel, AI instructor at the Info-Tech Research Group, a global IT research and advisory firm. “We look at their certifications, of course, but that has to be matched with their experience.”
Opinions differ on the value of certifications overall
There is some debate on the overall value of tech certifications versus demonstrated experience with various tools and platforms in a current or former job role. Where there tends to be agreement is over the demand for certifications for new, high demand, and hard-to-acquire skills, such as AI. The value for long-established technologies quickly loses steam.
“I think that candidate quality is often negatively correlated with the number of certificates they have or they list on their resume,” explains Paddy Lambros, CEO Dex, developer of an AI career agent. “Beyond a bachelors, masters or PHD, I wouldn’t recommend an AI certificate of any kind, especially one you pay for. If you feel strongly you must do certificates then do the free online courses from reputable sources, such as Stanford’s free CS course.”
Otherwise, Lambros says, “to put it frankly, these certificates do nothing to make you a better candidate. If you want to stand out in AI, then build a prototype, a tool, or an example of the work in Lovable that is relevant to the role that you are going for. No one else does this, it’s virtually free, and so much more impressive.”
What managers look for in certifications cited on a resume
There are a number of certifications that address products from the top tier tech companies, Barthel explains. For her, certifications on Information Security, IT Governance, IT Risk, as well as MIT or Stanford or similarly renowned technical credentials, come first; product specific certifications come second – such as Azure, IBM, Nvidia, and Salesforce.
When looking at an IT pro’s certification value, “my criteria are: longevity of that credential, reputation of the issuer, conditions to maintain that certification, and how wide and deep is the knowledge tested to prove that an individual holding that credential has a thorough understanding and application of that area,” Barthel explains.
Job search engine Metaintro tracks trends in job postings, including the most popular technical certifications, explains CEO Lacey Kaelani. The platform runs on open source data and processes more than 600 million jobs in near real time.
“We match job seekers with every job opportunity worldwide, directly in a seamless, chat-based Thread experience,” Kaelani says. The company can analyze the number of job postings that show, if any, AI certifications that are trending in required or ‘nice to have’ sections of a job description.
The AI certifications most wanted by employers
Kaelani says the three most common certifications for AI that employers request are:
- AWS Certified Machine Learning: This certifies the practical expertise to design, build and operate machine learning solutions on AWS. Additionally, it tests an applicant’s knowledge of data engineering, exploratory data analysis, and machine learning implementation and operations. This certification signifies a candidate’s ability to implement and maintain AI in production environments, not just theoretical.
- Google Cloud Professional Machine Learning Engineer: This certifies the expertise to design, build and execute ML models using Google Cloud. It encompasses how to frame an ML problem, prepare data, develop and deploy ML models, and create automated processes for creating ML models. This certification demonstrates the capability to implement AI in a cloud-native fashion.
- Microsoft Certified Azure AI Engineer Associate: This certification tests the ability to design and build AI solutions using both Azure Cognitive Services and Machine Learning along with the use of Knowledge Mining for Solutions, both using Azure AI.
“The majority of the most successful certifications are cloud-platform specific, rather than about AI general theory,” Kaelani explains.
Niche tech and AI topics with the highest value
Niche area artificial intelligence and machine learning certifications are still a rare find on job applications, Kaelani says. General AI certifications from universities and training providers are more common, but they have less value to employers than technology-specific certifications.
Most IT certifications are very technical, with the exception of the AIGP from IAPP (International Association of Privacy Professionals), which are mostly held by legal professionals and some privacy compliance professionals, Barthel explains.
“The technical ones tend to be found in very technical groups,” Barthel says. “There is a wide gap between understanding how to build an AI capability and compliance program versus how to work with models and build AI applications and agents.”
The market for AI certifications is shifting
Niche and advanced technical certifications are in very high demand due to the hype cycle we are in with AI, Barthel says. But she expect to see a shift towards understanding how to build business capabilities with existing COTS AI applications and agents.
“At the moment, the market is building from code up,” Barthel says. “That will soon be in the past. What is important with AI is to build knowledge around the business requirements to automate with AI, as well as integration with the current IT infrastructure. These types of skills, knowledge, and credentials are future proof.”
“Job postings show that positions requiring these certifications provide a 15% to 25% salary increase over those without a certification requirement,” Kaelani says. “These certifications are extremely beneficial for candidates seeking to transition into AI from a traditional IT position and help to fill the gap of credibility when making that transition.”
Finding the best AI certifications
Barthel advises IT pros to choose certifications that are ‘future proof.’
“Models are fast evolving, and we are now talking about agents taking over,” Barthel says. “All the existing certifications are not accredited yet by any internationally recognized body. It is important to participate in projects where one would learn the skills, as this will be more telling on a resume than a particular certification. The earlier information security, privacy and IT governance are still very relevant, but the knowledge needs to be expanded.”
To get started, Kaelani recommends IT pros select a certification that’s relevant to their tech stack; obtain real-world experience before earning a certification, and then strategically collect certifications, generate a portfolio that complements the certification, and then budget your time and money realistically.
“Certifications are indicators, and are not replacements for experience,” Kaelani explains. “IT professionals that are excelling in AI possess both experience and certification. The IT professionals that are utilizing their certifications to establish a baseline competency and are building projects that demonstrate their level of proficiency are experiencing the most success in AI.”
