Vendor and industry certifications that validate AI and ML skills on a résumé. Includes exam details, prep paths, and multi-course professional certificates.
Sorted cheapest first. Click a column header to re-sort. Working professionals and career changers.
| Course | Level | Duration | Price | Certificate | |
|---|---|---|---|---|---|
IBM · Coursera |
intermediate | 13 courses, approx. 4 months at 10 hrs/week | Free to audit Free to audit · $49/mo |
Yes | Visit |
IBM · Coursera |
beginner | 16 courses, approx. 6 months at 6 hrs/week | Free to audit Free to audit · $49/mo |
Yes | Visit |
Microsoft · Coursera |
intermediate | 5 courses, approx. 6 months at 7 hrs/week | Free to audit Free to audit · $49/mo |
Yes | Visit |
GitHub · Microsoft Learn |
intermediate | 100-minute proctored exam | Paid Varies by country |
Yes | Visit |
Salesforce · Salesforce Trailhead |
beginner | Exam: 70 minutes, 40 questions | Paid $75 exam |
Yes | Visit |
Google Cloud |
beginner | Exam: 90 minutes, 50-60 multiple choice questions | Paid $99 exam |
Yes | Visit |
LangChain · LangChain Academy |
intermediate | 120-minute exam, 40 questions | Paid $99 |
Yes | Visit |
Microsoft · Microsoft Learn |
beginner | Exam: approx. 45-65 minutes | Paid $99 exam |
Yes | Visit |
Amazon Web Services · AWS Training |
beginner | Exam: 90 minutes, 65 questions | Paid $100 exam |
Yes | Visit |
NVIDIA · NVIDIA DLI |
beginner | Exam: 1 hour, 50-60 multiple choice questions | Paid $125 exam |
Yes | Visit |
Amazon Web Services · AWS Training |
intermediate | Exam: 130 minutes, 65 questions (MLA-C01) | Paid $150 exam |
Yes | Visit |
Microsoft · Microsoft Learn |
intermediate | Exam: 120 minutes | Paid $165 exam |
Yes | Visit |
Databricks · Databricks Academy |
intermediate | Exam: 90 minutes, 48 scored questions | Paid $200 exam |
Yes | Visit |
Google Cloud |
advanced | Exam: 2 hours, 50-60 multiple choice questions | Paid $200 exam |
Yes | Visit |
CompTIA |
advanced | Exam: 60 minutes, up to 60 multiple-choice and performance-based questions | Paid ~$293 exam |
Yes | Visit |
Amazon Web Services · AWS Training |
advanced | 180-minute exam, 75 questions | Paid $300 |
Yes | Visit |
Watch everything free; pay only if you want graded assignments and a credential.
A multi-course IBM program covering machine learning with Python, deep learning with Keras and PyTorch, and generative AI and LLM engineering, finishing with a capstone. Good for developers and data analysts who want a hands-on, portfolio-building AI engineering credential.
IBM's beginner-friendly path from Python basics to building LLM applications with prompt engineering, RAG, LangChain and fine-tuning. Suited to career changers and developers who want a job-ready generative AI engineering credential with hands-on labs.
Microsoft's five-course program on ML algorithms, Azure AI services, MLOps and deploying AI solutions, designed to prepare learners for Azure AI roles and certification exams. Best for developers with Python experience who want Microsoft-stack ML engineering skills.
Structured programs with instructors, cohorts, projects or formal credentials.
A proctored exam on using GitHub Copilot responsibly, its features across plans, data and architecture, prompt engineering and context crafting, developer productivity, and privacy and content-exclusion safeguards. For developers and tech leads who want a recognised credential showing they can use an AI coding assistant well.
An entry-level Salesforce credential covering AI fundamentals, ethical and responsible AI, data quality for AI and Salesforce's AI capabilities. Ideal for Salesforce admins, consultants and business users who need to speak confidently about AI in CRM.
A business-oriented Google Cloud certification on generative AI concepts, Google's gen AI offerings and how to drive adoption and responsible use in an organization. Built for leaders, product managers and consultants who want a vendor credential without hands-on technical requirements.
An online-proctored exam covering four equally weighted domains: building, testing, deploying and monitoring agents with LangChain and LangSmith. For engineers who have completed LangChain Academy's free courses and want a vendor credential for production agent work.
Microsoft's entry-level AI certification covering AI workloads, machine learning principles, computer vision, NLP and generative AI on Azure and Microsoft Foundry. A low-cost first credential for career changers, students and business users working in Microsoft-centric organizations.
A foundational AWS certification validating knowledge of AI/ML and generative AI concepts, AWS AI services (Bedrock, SageMaker) and responsible AI. Designed for business analysts, project managers and sales or product staff who work alongside AI builders rather than build models themselves.
An associate-level NVIDIA certification on the fundamentals of generative AI and large language models, including prompt engineering, data preparation, model training and deployment on NVIDIA platforms. Attractive for engineers and technical PMs who want a hardware-vendor-backed gen AI credential.
Validates the ability to build, deploy, monitor and operationalize ML models on AWS using SageMaker and related services; AWS recommends at least a year of hands-on experience. The main AWS credential for ML engineers and data scientists now that the ML Specialty exam has retired.
Validates designing, building and deploying generative AI and agentic solutions, computer vision, text analysis and information extraction using Python and Microsoft Foundry. The successor to AI-102, aimed at developers and AI engineers shipping production AI apps on Azure.
Validates using Databricks and MLflow to perform basic ML tasks including data exploration, feature engineering, model training, tuning and deployment. A practical credential for data scientists and engineers working in Databricks-based lakehouse environments.
Google Cloud's professional-level certification for architecting, building, productionizing and monitoring ML solutions on Vertex AI and related services. Targeted at experienced ML engineers and data scientists who want one of the most respected cloud ML credentials.
CompTIA's vendor-neutral certification on securing AI systems and using AI in security operations, recommended for people with 3-4 years in IT and 2+ years in cybersecurity. Relevant for security professionals who need to govern and defend AI deployments.
AWS's professional-level exam for building and deploying production-ready generative AI solutions centred on Amazon Bedrock; AWS's March 2026 refresh added Amazon Bedrock AgentCore to its scope. For experienced developers on AWS who want a senior credential covering RAG, agents and responsible AI deployment.
Deployment, monitoring, data pipelines, and engineering practices for real AI systems.
Supervised and unsupervised learning, model evaluation, and the math behind it.
Online master's degrees, graduate certificates, and MicroMasters in AI.