AI Certifications: A Key Asset for Recruiters in 2026

Companies Bet on AI for 2026

As the year 2026 approaches, more than a third of companies are considering strengthening their IT teams, particularly for automation and artificial intelligence projects. This trend highlights the growing importance of online certifications in the field of AI. With a multitude of training options available, it becomes crucial to understand which ones truly stand out.

A Range of Certifications Available

The online certification market is vast and varied. Among the most recognized are those offered by prestigious academic institutions such as Stanford University and MIT. Cloud computing giants like AWS, Google Cloud, and Microsoft Azure also provide their own certifications. Additionally, companies like IBM and DeepLearning.AI offer practical exams, while targeted certifications, such as those from Berkeley, cater to executives and consultants.

Louis Motta, an IT recruiter at Alliance4U, emphasizes that while professional experience is often paramount, certifications can play a key role for certain AI-related positions, particularly for developers and chief data officers. He notes that online certifications are becoming increasingly common on developers' resumes, especially among younger professionals.

Coursera: A Popular Platform

Among the many available platforms, Coursera stands out for the diversity and quality of its offerings. Louis Motta describes it as a comprehensive platform, providing structured pathways with training at various levels. Courses offered by renowned institutions such as Google, IBM, or Stanford are perceived as a mark of quality.

Coursera organizes courses into small units, incorporating multimedia elements and practical scenarios. The prices for individual certifications range from free to 99 euros. Among the popular training options is the Machine Learning specialization from Stanford University, led by Andrew Ng, a prominent figure in the field.

The platform also offers preparations for exams sought after by recruiters, such as the Google Cloud Professional Machine Learning Engineer title or the AWS Certified Machine Learning – Specialty, which are particularly in demand for technical profiles. Additionally, the AWS Certified AI Practitioner certification is mentioned as a popular option for those looking to acquire a solid foundation in AI.

DeepLearning.AI and DataCamp: The Practical Approach

Louis Motta highlights two other platforms focused on practical skills: DeepLearning.AI and DataCamp. These platforms are often cited by AI professionals for their pragmatic approach. DeepLearning.AI, via Coursera, offers professional certificates tailored to prompt engineering techniques and the creation of AI agents.

DataCamp, on the other hand, provides a professional certification valid for two years, aiming to democratize access to skills in data science and AI. It offers a free plan and an annual subscription of 14 euros per month for access to around 700 courses.

The Importance of Fundamentals

Before embarking on these training programs, Louis Motta stresses the necessity of mastering the fundamentals of AI. This includes knowing how to formulate a good prompt, clearly defining needs, and acting as a project manager. For this, curiosity and self-learning through articles or online videos are often sufficient.

In a second phase, for those looking to deepen their AI skills or create AI agents, certifications become an asset. However, Motta warns against certain expensive training programs that may not offer a good return on investment and emphasizes the importance of choosing secure certifications to avoid cheating.

In conclusion, selecting a certification that aligns with one's professional ambitions and market needs is crucial. According to the PwC barometer for 2025, workers with AI skills enjoy an average salary premium of 56% globally. In France, this premium is estimated at around 21% for AI-related positions.