Written by the AgileFever editorial team. Facts checked on November 6, 2026 against the official pages of the organizations named in this post. AgileFever sells training for some of the topics covered here, and we say so wherever it applies. Every exam figure below comes from the page of the company that runs the exam. Fees exclude local tax and currency fees.
Search for an LLM certification and you get a mix: vendor exams with a proctor and a fee, course completion certificates, law degrees that share the abbreviation, and lists that repeat each other. This post covers the credentials run by the technology owners, what each one proves, and how to check that a certificate is real.
If you are weighing one Claude exam against the cloud exams, our CCA-F vs cloud AI certifications post goes deeper on that pair. This one covers the whole field, including what a generative AI certification can and cannot tell an employer.
LLM certification: which exams exist today
We list only exams the technology owner runs itself, and only ones the owner’s page shows as current. Where a page does not print a figure, the cell says so. Microsoft prices exams by country, so it has no single dollar fee.
| Exam and owner | Level | Questions | Length | Fee (USD) | Validity | Prerequisites |
|---|---|---|---|---|---|---|
| Claude Certified Architect – Foundations (CCA-F), Anthropic | Foundations | 60 | 120 min | $125; 50% off for Select, Preferred and Global Premier partners | 12 months; free on-time renewal | Must work at a Claude Partner Network organization; company email; age 18+ |
| AWS Certified AI Practitioner | Foundational | 65 | 90 min | $100 | 3 years | None. AWS suggests its cloud essentials courses for newcomers |
| AWS Certified Generative AI Developer – Professional | Professional | 75 | 180 min | $300 | 3 years on renewal (AWS recertification page) | None required. 2+ years building on AWS or open-source tools and 1 year of hands-on generative AI recommended |
| Microsoft Azure AI Fundamentals (AI-901) | Fundamentals | Not published | Not published | Set by country | Does not expire | Python syntax and Azure resource familiarity expected. Passing score 700 |
| Microsoft Azure AI Apps and Agents Developer Associate (AI-103) | Associate | Not published | 120 min | Set by country | Renew yearly, free, open-book | Python app development experience expected |
| Google Cloud Generative AI Leader | Business level | 50 to 60 | 90 min | $99 | 3 years | None. Any job role |
| Google Cloud Professional Machine Learning Engineer | Professional | 50 to 60 | 120 min | $200 | Renewal exam adds 2 years | None required. 3+ years in industry, 1+ on Google Cloud recommended |
| NVIDIA Generative AI LLM (NCA-GENL) | Associate | 50 to 60 | 60 min | $125 | 2 years; renew by retaking | Basic understanding of generative AI and LLMs |
| NVIDIA Generative AI LLMs Professional (NCP-GENL) | Professional | 60 to 70 | 120 min | $200 | 2 years; renew by retaking | 2 to 3 years of practical AI or ML work with LLMs |
| Databricks Certified Generative AI Engineer Associate | Associate | 45 scored | 90 min | $200 | 2 years; renew on the current version | None. 6+ months of hands-on generative AI recommended |
Sources: the exam pages of Anthropic Partner Academy, AWS, Microsoft Learn, Google Cloud, NVIDIA and Databricks, plus AWS’s recertification page and Google’s renewal FAQ, all read on November 6, 2026. Owners can change fees and formats. Confirm on the exam page before you pay. The NVIDIA professional page shows a “Coming soon” label beside its register link, so confirm availability first.
Three details sit inside that table. First, CCA-F is the only exam with an employer gate: Anthropic’s FAQ says certification is open to people who work at organizations in the Claude Partner Network, and personal email addresses do not work for sign-in. Second, validity runs from 12 months to three years, which changes how often you pay. Third, experience expectations differ: Google’s leader exam is open to any role, with or without technical experience, while the professional exams recommend years of hands-on work.
What each LLM certification measures
The title of an exam tells you less than its topic list. Here is what each owner says its exam covers.
- CCA-F: making design choices with Claude Code, the Claude Agent SDK, the Claude API and MCP. Domain weights: agentic architecture and orchestration 27%, Claude Code configuration and workflows 20%, prompt engineering and structured output 20%, tool design and MCP integration 18%, context management and reliability 15%.
- NVIDIA NCA-GENL: core machine learning and AI knowledge 30%, software development 24%, experimentation 22%, data analysis 14%, trustworthy AI 10%.
- NVIDIA NCP-GENL: model optimization 17%, GPU acceleration 14%, prompt engineering 13%, fine-tuning 13%, with deployment, evaluation and monitoring below 10% each.
- Databricks Generative AI Engineer Associate: application development 30%, assembling and deploying apps 22%, design 14%, data preparation 14%, evaluation and monitoring 12%, governance 8%.
- AWS AI Practitioner: foundational AI, machine learning and generative AI concepts and use cases on AWS. AWS Generative AI Developer Professional: production generative AI applications with services such as Amazon Bedrock, plus security, deployment, monitoring and cost.
- Microsoft AI-901 and AI-103: AI-901 splits into identifying AI concepts (40 to 45%) and implementing solutions with Microsoft Foundry (55 to 60%). AI-103 assesses managing Azure AI solutions, generative AI and agents, vision, text analysis and information extraction.
- Google Generative AI Leader: gen AI fundamentals, Google Cloud’s offerings, output techniques and business strategy. Google Professional ML Engineer: building, serving, automating and monitoring ML and generative AI solutions, including Model Garden and Vertex AI Agent Builder.
The pattern: a vendor’s exam tests that vendor’s stack. CCA-F leaves the cloud out; the cloud exams test one platform’s services. No exam works as a single LLM engineer certification, because no single owner covers all models and all clouds. Lists of the best LLM certifications tend to hide that.
Exam fees and minutes, side by side
These two charts use only figures the owners print. The Microsoft exams are left out because Microsoft sets the price by country and prints no single fee.
Sources: Anthropic Partner Academy, AWS, Google Cloud, NVIDIA and Databricks exam pages, read November 6, 2026. Partner discounts and local taxes not included.
Sources: the same owner pages plus the Microsoft Learn AI-103 page. Anthropic says to plan about 135 minutes of seat time for its 120-minute exam.
Fee and length rise together at the professional level. The associate and foundational exams cluster between $99 and $200. Eligibility, platform fit and validity matter more than fee.
What an LLM certification proves, and what it does not
A credential records one event: a person passed an exam against a blueprint, on a date, under the owner’s rules. It does not show you can build, run or fix a system.
| Question an employer asks | What the credential shows | What it does not show |
|---|---|---|
| Does this person know the vocabulary and design options? | They answered questions on the published topic list at or above the pass mark | Whether they apply that knowledge under real constraints and deadlines |
| Can they ship a working LLM application? | Scenario-based exams show judgment about trade-offs in described situations | That they have shipped anything. Only a portfolio, a code review or a work sample shows that |
| Is their knowledge current? | The date earned and the expiry date. A 12-month or 2-year term means a recent exam or renewal | Skill in tools released after the exam version they passed |
| Do they work on our stack? | A vendor exam covers that vendor’s products | Skill on other clouds or other model families |
| Did they earn it alone? | A proctored exam, online or at a test center, with ID checked at check-in | Anything about a course completion certificate, which records attendance or a quiz, not a proctored test |
No exam owner publishes figures that tie a pass to a salary or a hiring result, so treat any such claim in an ad as unsupported. “I passed this exam on this date”, backed by a project you can show, carries more weight than the badge alone. For one example, see is Claude Certified Architect worth it.
Which credential type fits your role and goal
Use this table as a starting point. The last column is our judgment, not guidance from any exam owner.
| Role and goal | Credential type | Examples from the list above | Why |
|---|---|---|---|
| Manager or consultant who needs to speak about gen AI with clients | Owner-run foundational or business-level exam | Google Generative AI Leader, AWS AI Practitioner, Microsoft AI-901 | No coding required for the first two. Short, inexpensive, and the pass proves you know the platform’s terms. |
| Developer building LLM apps on a main cloud | Role-based associate or professional exam on that cloud | Microsoft AI-103, AWS Generative AI Developer Professional, Google Professional ML Engineer | These test deployment, security and cost on the platform where you will run the app. |
| Developer or architect building agents with Claude at a partner firm | Model-maker exam | Anthropic CCA-F | Matches the design scenarios you meet at work and counts toward your firm’s standing in the network. |
| Data or ML engineer working with model optimization and serving | Exam run by a hardware or data-platform owner | NVIDIA NCA-GENL or NCP-GENL, Databricks Generative AI Engineer Associate | Closer to model, GPU and data-pipeline work than the cloud exams. |
| Career switcher with no hands-on work yet | Foundational exam, plus projects | A foundational exam from the list, then a portfolio | A professional exam assumes months of building. Build first, then certify. |
Pick the vendor whose products you use or expect to use in the next year. A certificate for a stack you will never touch adds cost and no signal.
CCA-F needs employment at a Claude Partner Network organization. Others list no prerequisites but recommend months of hands-on work.
No hands-on work yet: foundational or business-level. Six months or more of building: associate. Two to three years: professional.
If the weights do not look like your job, choose another exam. The percentages are printed on the owner’s page or exam guide.
If you are not ready for a paid exam, start with the free LLM courses learning path and build the project first. For the operations side of LLM work, our LLMOps certification guide covers the credentials that sit there.
How to check an LLM certification is real and current
Lists of “top LLM certifications” mix real exams with course certificates and sometimes with names that do not match any program. Run these checks before you pay for prep or accept a credential on a resume.
- Find the owner’s page. The company that makes the model, cloud or platform should list the exam on its own site, with a fee, a length and a topic list. If only a reseller lists it, treat it as unconfirmed.
- Look for proctoring. Real exams are delivered online with a proctor or at a test center, with government ID. A page that grants a certificate after an untimed quiz is a completion certificate.
- Check the exam code and level. Names such as CCAR-F, AI-103 or NCA-GENL are specific. A vague title such as “Certified LLM Professional” with no code is a warning sign.
- Read the validity term. Credentials carry an expiry: 12 months for CCA-F, two years for NVIDIA and Databricks, three years for AWS and Google’s leader exam. A badge with no expiry date on a role-based exam deserves a question.
- Ask for the badge link. AWS tells employers to ask the earner for the digital badge link, which opens an issuer-verified page showing the issue date. Anthropic sends a Credly badge on a pass. Databricks hosts credentials at credentials.databricks.com and lets holders opt into a certified directory.
The Anthropic Partner Academy publishes one of the clearer owner pages for this: fee, discounts, retake waits, validity and renewal in one place. Read the Anthropic Partner Academy certification FAQ to see what a complete owner page looks like, then expect the same from any other exam you consider.
What employers can verify
| Item | Can an employer check it? | How |
|---|---|---|
| Issuer and exam name | Yes | The badge page shows the issuing company and credential name. AWS and Anthropic use Credly badges. |
| Expiry or renewal date | Yes, if the issuer sets one | On the badge or the issuer’s credential page. Databricks badges expire two years after award. |
| Proctored exam or course quiz | Yes, from the owner’s exam page | The exam page states how it is delivered. Anthropic exams are closed book, with ID checked at check-in. |
| Job performance | No | Use a work sample, a code review or a reference. |
Ask for the badge link, check issuer and date, then spend interview time on a task from your own work.
Where AgileFever fits
AgileFever sells training in this area. None of it replaces an exam owner’s own study guide, and a bootcamp is not a vendor credential. Our Claude Certified Architect Foundations program is 16 hours of live instruction built around the five CCA-F domains. As listed on November 6, 2026, it costs $450 or ₹25,000 (before 18% GST for buyers in India), with batches listed from November 7, 2026. Practice material is in our CCA-F practice questions guide.
For broader skills, the Gen AI BootCamp is a live, hands-on program. See the curriculum breakdown, the skills you build and whether it is worth it. For a view on whether any agent credential is needed, read Agentic AI certification: do you really need one.
Additional discounts are available. Contact us to know more.
Questions people ask
Is there an official LLM certification?
There is no single official one. Several technology owners run their own exams: Anthropic, AWS, Microsoft, Google Cloud, NVIDIA and Databricks each publish a fee, format and topic list. Pick the owner whose tools you use. Treat certificates from anyone else as completion records.
Which LLM certification is best for beginners?
A foundational or business-level exam suits people without hands-on experience. Google Generative AI Leader ($99, 90 minutes, any role) and AWS AI Practitioner ($100, 90 minutes) list no prerequisites. NVIDIA’s associate exam expects a basic understanding of generative AI and LLMs. Build a small project alongside the exam prep.
How much does an LLM certification cost?
Owner-run exams in this post range from $99 to $300 per attempt at list price: Google Generative AI Leader $99, AWS AI Practitioner $100, Anthropic CCA-F and NVIDIA NCA-GENL $125, Databricks, Google’s ML Engineer and NVIDIA’s professional exam $200, AWS Generative AI Developer Professional $300. Microsoft prices by country. Retakes cost the fee again.
Does an LLM engineer certification get you a job?
No owner publishes data linking a pass to hiring. A certification shows you passed an exam on a stated date. Employers still test skills through interviews and work samples. Use the credential next to a project you can show and explain.
Do LLM certifications expire?
Yes, for most. CCA-F lasts 12 months, NVIDIA and Databricks exams two years, AWS and Google’s leader exam three years. Microsoft’s associate credentials renew yearly through a free, open-book assessment, and its fundamentals credentials do not expire. Always read the expiry date on the badge.
