A curated directory of 15 AI and machine learning certifications and courses from leading cloud providers, universities, and training platforms.
Validates technical ability in implementing and operationalizing ML workloads on AWS, positioning you for in-demand ML engineering roles.
Successor to the AWS Certified Machine Learning – Specialty, which has been retired.Validates the ability to design, build, and productionize ML models to solve business challenges on Google Cloud.
Demonstrates fundamental AI concepts related to developing software and services with Microsoft Azure to create AI solutions.
IBM's current hub for watsonx, machine learning, and generative AI courses and professional certificates.
The original AI Enterprise Workflow certification has been retired.A career-starter certification in AI engineering, covering machine learning, deep learning, NLP, and generative AI fundamentals.
A job-guaranteed bootcamp teaching the fundamentals of machine learning and deep learning, with 1-on-1 mentorship and a portfolio of projects.
An executive program from Northwestern's Kellogg School exploring generative and agentic AI strategy for business leaders.
A learning path covering predictive analytics, decision trees, explainable AI, and codeless machine learning tools.
A certificate program from Purdue University in collaboration with IBM, covering AI and machine learning career skills.
The first course in Andrew Ng's Machine Learning Specialization from DeepLearning.AI and Stanford University.
An understanding of machine learning to implement, evaluate, and improve machine learning algorithms, from Cornell University.
A 10-week program covering the mathematical foundations and implementation of core machine learning algorithms. The program page now redirects to Emeritus, which delivers Carnegie Mellon's executive online courses.
A dual-perspective online short course on AI and generative AI applications from MIT Sloan School of Management and MIT CSAIL.
Apply AI design principles and machine learning fundamentals to develop AI-based product proposals.
Connects automation, prediction, and personalization to measurable business outcomes through executive-level AI strategy training.
Cloud-vendor credentials (AWS, Google Cloud, Microsoft, IBM), university programmes (such as MIT, Stanford, Berkeley, Kellogg and Cornell), bootcamps and industry certifications, 15 in all.
Some change over time. The page notes that the AWS Certified Machine Learning – Specialty has been retired in favour of the Machine Learning Engineer – Associate, and that IBM's original AI Enterprise Workflow certification has been retired.
It depends on your background and goal. Cloud-vendor fundamentals credentials are a common starting point for practitioners, while university executive programmes target business leaders. Compare each provider's own description, prerequisites and cost.
No. It is a curated list with links to each provider's official page. Prices, exam formats and availability change, so confirm details with the provider.