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Top 10 Professional AI Certifications
The leading professional certifications in AI, from cloud providers, AI labs and independent bodies, ranked for the value they give professionals and the teams that hire them.
The best AI certification in the world for 2027 is the AWS Certified Generative AI Developer – Professional (Amazon Web Services), followed by the Google Cloud Professional Machine Learning Engineer and the Microsoft Certified: Azure AI Apps and Agents Developer Associate.
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1 AWS Certified Generative AI Developer – ProfessionalAmazon Web ServicesProfessional · AIP-C01 100.0
Pillar scores
- The credential
- Issuing body
- Amazon Web Services
- Level
- Professional
- Exam code
- AIP-C01
- Availability
- Open to all
- The exam
- Exam fee
- $300
- Exam length
- 180 minutes
- Questions
- 75 (65 scored)
- Passing score
- 750 of 1,000
- Assessment
- Proctored exam, at a test center or online
- Recommended experience
- 2 years building on AWS or open source, 1 year with generative AI
- Valid for
- 3 years
- The program
- What it covers
- Foundation model integration, data and RAG with vector stores, Amazon Bedrock with Agents and AgentCore, AI safety, security and governance, cost and operational efficiency, testing and troubleshooting
- Best for
- Developers and AI engineers taking generative AI to production on AWS
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2 Google Cloud Professional Machine Learning EngineerGoogle CloudProfessional · PMLE 93.2
Pillar scores
- The credential
- Issuing body
- Google Cloud
- Level
- Professional
- Exam code
- PMLE
- Availability
- Open to all
- The exam
- Exam fee
- $200
- Exam length
- 120 minutes
- Questions
- 50 to 60
- Passing score
- Pass or fail, not published
- Assessment
- Proctored exam, at a test center or online
- Recommended experience
- 3 years in industry, 1 year on Google Cloud
- Valid for
- 2 years
- The program
- What it covers
- Framing business problems as ML, low-code and custom models, scaling prototypes, serving, pipelines and MLOps, monitoring in production; classic ML and generative AI on the Gemini Enterprise Agent Platform
- Best for
- ML engineers and data scientists working on Google Cloud
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3 Microsoft Certified: Azure AI Apps and Agents Developer AssociateMicrosoftAssociate · AI-103 84.0
Pillar scores
- The credential
- Issuing body
- Microsoft
- Level
- Associate
- Exam code
- AI-103
- Availability
- Open to all; replaced AI-102 on 30 June 2026
- Official page
- learn.microsoft.com/en-us/credentials/certifications/azure-ai-apps-and-agents-developer-associate
- The exam
- Exam fee
- $165
- Exam length
- 120 minutes
- Questions
- Not published
- Passing score
- 700 of 1,000
- Assessment
- Proctored exam, at a test center or online
- Recommended experience
- Python development and Microsoft Foundry
- Valid for
- 1 year, renewed free online
- The program
- What it covers
- Planning and managing an Azure AI solution, generative AI and agentic solutions (the largest domain), computer vision, text analysis and information extraction, on Microsoft Foundry with RAG and responsible AI
- Best for
- Developers building AI apps and agents in Microsoft organizations
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4 AWS Certified Machine Learning Engineer – AssociateAmazon Web ServicesAssociate · MLA-C02 78.4
Pillar scores
- The credential
- Issuing body
- Amazon Web Services
- Level
- Associate
- Exam code
- MLA-C02
- Availability
- Open to all; MLA-C02 in beta, generally available from 14 January 2027
- The exam
- Exam fee
- $150
- Exam length
- 170 minutes
- Questions
- 85 in the beta
- Passing score
- 720 of 1,000
- Assessment
- Proctored exam, at a test center or online
- Recommended experience
- 1 year with SageMaker AI and Bedrock, 1 year in development, data engineering or DevOps
- Valid for
- 3 years
- The program
- What it covers
- Data preparation for ML and AI, model development including foundation models, deployment and orchestration, operations, monitoring and security; RAG, fine-tuning, agents and guardrails
- Best for
- ML and MLOps engineers on AWS
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5 Databricks Certified Generative AI Engineer AssociateDatabricksAssociate 70.5
Pillar scores
- The credential
- Issuing body
- Databricks
- Level
- Associate
- Availability
- Open to all
- The exam
- Exam fee
- $200
- Exam length
- 90 minutes
- Questions
- 45 scored
- Assessment
- Proctored exam, online
- Recommended experience
- 6 months building generative AI on Databricks
- Valid for
- 2 years
- The program
- What it covers
- Designing and building LLM applications on the Lakehouse: RAG and Vector Search, chains and agents, Model Serving, MLflow evaluation and monitoring, governance in Unity Catalog
- Best for
- Data and ML engineers on Databricks
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6 NVIDIA-Certified Associate: Generative AI LLMsNVIDIAAssociate · NCA-GENL 69.6
Pillar scores
- The credential
- Issuing body
- NVIDIA
- Level
- Associate
- Exam code
- NCA-GENL
- Availability
- Open to all
- The exam
- Exam fee
- $125
- Exam length
- 60 minutes
- Questions
- 50 to 60
- Assessment
- Proctored exam, online
- Recommended experience
- A basic understanding of machine learning and generative AI
- Valid for
- 2 years
- The program
- What it covers
- Core machine learning and deep learning, software development, experimentation, data analysis and trustworthy AI, with the NVIDIA stack for LLMs: NeMo, TensorRT, Triton and RAG
- Best for
- Developers starting with LLMs and GPU-accelerated AI
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7 Claude Certified Architect – FoundationsAnthropicFoundations · CCAR-F 69.5
Pillar scores
- The credential
- Issuing body
- Anthropic
- Level
- Foundations
- Exam code
- CCAR-F
- Availability
- Employees of Claude Partner Network member firms
- Official page
- pearsonvue.com/us/en/anthropic.html
- The exam
- Exam fee
- $125
- Exam length
- 120 minutes
- Questions
- 60, on four production scenarios
- Passing score
- 720 of 1,000
- Assessment
- Proctored exam by Pearson VUE, closed book
- Recommended experience
- 6 months with the Claude API, Agent SDK, Claude Code and MCP
- Valid for
- 12 months, renewed free
- The program
- What it covers
- Agent architecture and orchestration, tool design and MCP, Claude Code configuration, prompt engineering, structured output and context management
- Best for
- Architects and developers at consulting and integration firms working with Claude
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8 AWS Certified AI PractitionerAmazon Web ServicesFoundational · AIF-C01 51.9
Pillar scores
- The credential
- Issuing body
- Amazon Web Services
- Level
- Foundational
- Exam code
- AIF-C01
- Availability
- Open to all
- The exam
- Exam fee
- $100
- Exam length
- 90 minutes
- Questions
- 65 (50 scored)
- Passing score
- 700 of 1,000
- Assessment
- Proctored exam, at a test center or online; no code
- Recommended experience
- Up to 6 months of exposure to AI on AWS; no prerequisites
- Valid for
- 3 years
- The program
- What it covers
- AI and ML fundamentals, generative AI fundamentals, applications of foundation models, responsible AI, security, compliance and governance
- Best for
- Managers, product, sales and business roles, and developers new to AI
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9 IBM Generative AI Engineering Professional CertificateIBMProfessional certificate 50.3
Pillar scores
- The credential
- Issuing body
- IBM
- Level
- Professional certificate
- Availability
- Open to all, on Coursera
- The exam
- Assessment
- Graded course assignments and hands-on projects; no proctored exam
- Recommended experience
- None; about 6 months at a few hours a week
- Valid for
- Does not expire
- The program
- What it covers
- Python, machine learning and deep learning, transformers, prompt engineering, fine-tuning with LoRA, RLHF and DPO, RAG, LangChain and agents, with portfolio projects
- Best for
- Career changers on the way to generative AI engineering
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10 Artificial Intelligence Governance ProfessionalIAPPProfessional · AIGP 48.6
Pillar scores
- The credential
- Issuing body
- IAPP
- Level
- Professional
- Exam code
- AIGP
- Availability
- Open to all
- Official page
- iapp.org/certify/aigp
- The exam
- Exam fee
- $799
- Exam length
- 165 minutes
- Questions
- 100 (85 scored), about a third on case studies
- Passing score
- 300 on a scale of 100 to 500
- Assessment
- Proctored exam, at a test center or online
- Recommended experience
- None required
- Valid for
- 2 years, with 20 continuing education credits
- The program
- What it covers
- Foundations of AI governance, laws and standards (EU AI Act, NIST AI RMF, ISO/IEC 42001), governing AI development, governing AI deployment and use
- Best for
- Legal, privacy, risk and compliance professionals, and product leaders responsible for AI
No credentials match these filters.
Questions about the Top 10 Professional AI Certifications
What is the best AI certification in the world?
According to RankingLab's Top 10 Professional AI Certifications (edition 2027.0), the best AI certification is the AWS Certified Generative AI Developer – Professional (Amazon Web Services). It is followed by the Google Cloud Professional Machine Learning Engineer and the Microsoft Certified: Azure AI Apps and Agents Developer Associate.
What are the top 10 professional AI certifications in 2027?
1. AWS Certified Generative AI Developer – Professional (Amazon Web Services), 2. Google Cloud Professional Machine Learning Engineer, 3. Microsoft Certified: Azure AI Apps and Agents Developer Associate, 4. AWS Certified Machine Learning Engineer – Associate (Amazon Web Services), 5. Databricks Certified Generative AI Engineer Associate, 6. NVIDIA-Certified Associate: Generative AI LLMs, 7. Claude Certified Architect – Foundations (Anthropic), 8. AWS Certified AI Practitioner (Amazon Web Services), 9. IBM Generative AI Engineering Professional Certificate and 10. Artificial Intelligence Governance Professional (IAPP). The full list, with scores, uncertainty bands and the facts behind each entry, is in the Top 10 Professional AI Certifications.
How does RankingLab rank professional AI certifications?
This ranking examines the professional certifications in AI that matter most to professionals and to the teams that hire them, from cloud providers and AI labs to independent bodies. Technical foundations, reputation in the market and practical application count most, alongside the connection to business, the depth of the program and its exam, and the grounding in AI it gives. Every entry first passes the verification gate, the evidence is gathered and cross-checked by RankingLab's research engine, and doctoral-level experts decide every position.
Is the ranking independent?
Yes. RankingLab is an independent, not-for-profit research lab. No issuer can pay for inclusion or position, and the methodology is published in full. It was published on 29 October 2026.