Cindy Zhu.
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7 AI certificates for your resume, in the order to do them

Hey, it's Cindy 馃尡 Here are all seven from the reel, with the direct link, the duration the provider actually publishes, and what each one teaches.
btw the waitlist for AI System Club is now open! If you're keen on using AI to automate your content, video editing, job search, business or build AI agents, feel free to sign up (only if you want to hehe). Ps. the waitlist gets first dibs:)
the week at a glance

Seven days, seven credentials

  1. Day 1 路 Salesforce, Generative AI Overview and Tech Ecosystem. About 20 minutes, 2 units. Trailhead badge, two challenges.
  2. Day 2 路 Databricks, Generative AI Fundamentals. About 1 hr 25: roughly an hour of training plus a 20 to 25 minute assessment. Databricks badge, 80% to pass.
  3. Day 3 路 Atlassian, Rovo Fundamentals. A 1 hour prep course plus a 45 minute open-book exam. Free course and free exam, badge plus PDF.
  4. Day 4 路 Asana, AI for Work Skill Badge. 1 to 2 hours. Skill badge, 20-question quiz, and Asana says "This program is entirely free".
  5. Day 5 路 SAP, Introducing AI Fundamentals. 3 hr 5 min, 4 units, Beginner. SAP's page says it leads to an Achievement.
  6. Day 6 路 Kaggle, Intro to AI Ethics. Free, "provided at no cost". Certificate of completion.
  7. Day 7 路 SAS, AI Foundations Knowledge Badge. No time limit, no expiry, unlimited retakes with a 24 hour wait. SAS Knowledge Badge.
The five days that publish a length come to roughly 8 hours. Days 6 and 7 do not put a clock on themselves at all: Kaggle's page loads its hours figure in JavaScript so it was unreadable the day this was checked, and SAS deliberately has no time limit. So plan for about eight hours of real study plus two evenings you finish when you finish.

the money question

What "free" means on each of these

Five of these seven say free, in their own words, in a place you can read without an account. Two never print a price at all, in either direction, and it would be dishonest to fill that silence in for them. Here is where every claim actually comes from.

  • Salesforce, day 1. The module page shows no price and no "free" wording, which trips people up. Salesforce says it elsewhere: Trailhead is described on Salesforce's own blog as "the free online learning platform from Salesforce". A free Trailblazer account is required to earn the badge.
  • Databricks, day 2. Databricks never prints the word free on either page. Not on the course page, not on the accreditation page. What is stated is that you register for it, so treat registration as the cost you know about and check the price on the page yourself before you commit an evening.
  • Atlassian, day 3. The certificate page says "Quick and free", and it covers both halves: the on-demand prep course and the exam.
  • Asana, day 4. The clearest of the lot. The page states "This program is entirely free" in plain words.
  • SAP, day 5. No SAP page prints a price for this one either. The badge mechanism is documented (you earn it by completing the course), but the cost is not, so the same rule applies as Databricks: read the page before you plan around it.
  • Kaggle, day 6. Prints it directly: "provided at no cost".
  • SAS, day 7. The assessment page prints Pricing "Free", alongside Time limit "None" and Expiration "None".
Three honest notes before you start. Day 1 issues a badge, not a certificate: it sits on your Trailblazer profile and can go on LinkedIn, but call it what it is. Day 3's certificate is valid for 12 months, after which you retake the same free exam to renew, and it is the only one here with an expiry. And day 7 has a prerequisite the overview page does not spell out: SAS asks you to complete its qualifying courses before the assessment, without naming them on that page, so budget time to go and find them.

all seven links

Day 1: Salesforce, Generative AI Overview and Tech Ecosystem

Open the module 路 2 units 路 about 20 mins 路 Trailhead badge, +200 points, no coding

What it is. The fastest credential on the list and the reason Monday is easy. Two units: "Explore the Capabilities of Generative AI" at about 10 minutes, then "Understand the Technology Ecosystem of Generative AI" at about 10 minutes.

What it actually teaches. What generative AI can and cannot do, then the technology sitting underneath it, at a level pitched deliberately at an end user rather than a developer. Foundational on purpose, which is why it belongs first rather than being skipped.

What you walk away with. A badge on your Trailblazer profile worth 200 points, which you can add to LinkedIn.

The honest bit. Each unit ends in a challenge you have to pass, so it is earned rather than handed over, and a free Trailblazer account is required. This is a badge, not a certificate, and there is no PDF and no credential ID. Salesforce is a name recruiters know, so it is still worth twenty minutes.

Do not go looking for the Salesforce Certified AI Associate. Salesforce retired that certification in February 2026. Plenty of older listicles still recommend it. This module is a different, and still live, thing.

Day 2: Databricks, Generative AI Fundamentals

Open the course 路 then the accreditation 路 about an hour of training plus a 20 to 25 minute assessment 路 Databricks badge, 80% to pass, no coding

What it is. Two pages, one credential, and the pairing is the point: the course teaches it and the separate accreditation assessment is what actually earns you the badge. Databricks is the data platform a very large share of enterprise AI work runs on, so the logo lands in exactly the industries that are cautious about AI hires.

What it actually teaches. Generative AI at a business-literacy level rather than an engineering one: what large language models are, where they get applied, and the risks and governance questions that come with putting them near real company data. The accreditation page is the one to read for the current syllabus, because it is the page tied to the assessment.

What you walk away with. A Databricks badge, which Databricks itself tells you to put on LinkedIn and on your r茅sum茅. That matters more than it sounds: a badge the issuer explicitly pitches for a r茅sum茅 is a badge you can list without overselling it.

The honest bit. Two things. The assessment needs 80% to pass, so it is earned rather than collected. And Databricks does not print a price anywhere on either page, so do not let anyone tell you it is confirmed free. What is certain is that you register for an account first. Check the cost on the page before you block out the evening.


Day 3: Atlassian, Rovo Fundamentals

Open the certificate 路 free prep course 路 1 hour course + a 45 minute exam 路 free course, free exam, no coding

What it is. The fastest credential here with a real exam behind it, and the best value on the list if you want something that says "certificate" rather than "badge" without paying for it. Atlassian's own framing is "Quick and free".

What it actually teaches. Finding, learning and acting on information using Rovo's Search, Chat and Agents across Atlassian tools and connected third-party apps. In practice it is a proper grounding in how an AI layer sits on top of a company's existing systems, which is the shape most workplace AI is taking.

What you walk away with. A Rovo Fundamentals certificate: a digital badge plus a downloadable PDF you can attach anywhere.

The detail that makes this the least stressful exam of the week. It is 20 multiple choice questions, 45 minutes, open book, and un-proctored. There is no secure browser to install and nothing watching you. Do the free hour-long prep path first and you will be comfortably inside the time.

The honest bit. The certificate is valid for 12 months and then needs renewing, though renewing is just retaking the same free exam, with no continuing-education units to collect. That makes it the only credential in this week with an expiry date, so diary it at eleven months.


Day 4: Asana, AI for Work Skill Badge

Open the badge series 路 5 parts 路 1 to 2 hours 路 free skill badge, no coding

What it is. The easiest genuine win of the week, and the one most directly about using AI in an office job rather than understanding AI in the abstract. Asana states it plainly: "This program is entirely free."

What it actually teaches. Five parts: Asana for Agentic Work Management (20 mins), Boost personal productivity with AI (20 min), Maximize team impact with AI (20 min), Drive organizational clarity with AI (20 min), then the wrap-up and quiz (30 min). The middle three are the useful ones, because they are about delegating real work rather than tool clicks.

What you walk away with. An Asana Academy skill badge, earned by passing a 20-question quiz with at least 80%.

The honest bit. You need to be logged in. Existing Asana users log in as normal; new users are enrolled in a trial, which is free but is still an account you are creating. You also have a 30 day enrolment window to finish once you start, so do not begin it and wander off. There is a separate AI Studio Foundations badge on the same academy, which needs a paid Asana add-on and is not this one.


Day 5: SAP, Introducing AI Fundamentals

Open the course 路 4 units 路 3 hr 5 min 路 Beginner 路 Course Completion badge, no coding

What it is. The enterprise-brand day, and the longest published sit of the week. SAP runs the back office of a very large share of the world's big companies, so the logo carries weight in exactly the industries that are slowest to hire on AI skills and most impressed by them.

What it actually teaches. Beginner-level AI fundamentals across four units, framed for business use rather than for building. It is the most conventional "explain AI properly" course on the list, and the one that fills gaps the shorter days skip over.

What you walk away with. A Course Completion badge issued by SAP Learning's own badge engine, not by Credly. Worth getting right, because plenty of write-ups say Credly and that is the wrong platform for this one. It still gets its own verifiable record and can go on LinkedIn.

The honest bit. You earn the badge by passing the quizzes, so it is not a watch-and-collect, and a free SAP Learning account is needed. And as with day 2, SAP never prints a price for this course, so nobody can honestly confirm it is free. Check the page before you plan an evening around it.


Day 6: Kaggle, Intro to AI Ethics

Open the course 路 5 lessons 路 free, "provided at no cost", certificate of completion, light in-browser Python

What it is. The interview-answer day. AI ethics sounds like the soft option and is the opposite: it is the topic most likely to come up in an interview for any AI-adjacent role, and most candidates have nothing concrete to say about it.

What it actually teaches. Five lessons: Introduction to AI Ethics, Human-Centered Design for AI, Identifying Bias in AI, AI Fairness, and Model Cards. Four of the five come with a hands-on exercise, so you leave having actually measured a fairness problem rather than having read about one.

What you walk away with. A Kaggle certificate of completion, downloadable as a PDF and shareable to LinkedIn.

The honest bit. There is light Python, but all of it runs in the browser in Kaggle Notebooks with the code mostly written for you, so no setup and no install. Unlike almost every other Kaggle course this one has no prerequisite course, so you can start it cold. Kaggle does not issue a credential ID, so display it as a certificate of completion rather than implying an accredited qualification.

Why there is no duration on this one. Kaggle does publish an estimated hours figure, but the page builds it in JavaScript and it would not load the day this guide was checked, so I am not going to print a number I could not read. Open the page and the estimate will be sitting in the sidebar. In practice it depends entirely on how much you poke at the exercises.

Day 7: SAS, AI Foundations Knowledge Badge

Open the assessment 路 no time limit, no expiry 路 free, SAS Knowledge Badge, no coding on the badge track

What it is. The quietly best-designed credential on this list, and the reason is the rules. The assessment page prints Pricing "Free", Time limit "None", Expiration "None", and retakes "Unlimited. 24-hour wait period". A free, untimed, never-expiring, open-book credential with unlimited retakes is close to unheard of, which is why it closes the week rather than opening it.

What it actually teaches. AI foundations from a company that has been doing statistics for decades, so the framing is noticeably less hype-driven than most AI courses. The assessment itself is the credential; the learning sits in SAS's qualifying courses.

What you walk away with. A SAS Knowledge Badge, with its own shareable URL. SAS's own page calls it a SAS Knowledge Badge and never mentions Credly. SAS's own framing is that you can put it on LinkedIn, a r茅sum茅, a website or an email signature.

Do this one on the day you have least energy. The assessment is 20 to 30 questions, you need 80%, it is open book, and if you miss you simply wait 24 hours and go again as many times as you like. Nothing else here gives you that.
The prerequisite to sort out first. SAS asks you to complete its qualifying courses before you sit this assessment, and the overview page does not name which courses those are. So the first job on day 7 is finding them in SAS's own catalogue, not opening the assessment. A free SAS profile is needed either way, and the badge material was updated in June 2026, so earlier progress does not carry over.

two ways to run the week

If you don't have the full week

The one-evening version Days 1 and 3. The Salesforce badge in twenty minutes, then the Atlassian prep course and its open-book exam. Two credentials, two logos a recruiter knows, and one of them is an actual certificate with a PDF.
The career version Days 2 and 3. Databricks Generative AI Fundamentals and Atlassian Rovo Fundamentals. Both have a real assessment behind them with a pass mark, and both issue something verifiable, which reads very differently on a CV from five completion badges.

after the badges

Making them count

  1. 馃搶 Add each one the evening you earn it. LinkedIn, Licenses and certifications, issuer written properly: Salesforce Trailhead, Databricks, Atlassian, Asana, SAP, Kaggle, SAS. Seven entries appearing across one week reads as momentum in a way one entry never does.
  2. 馃棧 Be accurate about the type. Six of the seven are badges of one kind or another: a Trailhead badge (Salesforce), a Databricks badge, a skill badge (Asana), a Course Completion badge (SAP), a SAS Knowledge Badge (SAS), and Atlassian's badge plus PDF certificate. Kaggle is a certificate of completion. Not one of them is a vendor certification, and saying so precisely costs nothing. It is exactly the kind of accuracy that reads as competence in an interview.
  3. 馃搯 Track the one that expires. Atlassian at 12 months, renewed by retaking the same free exam. Put it in a calendar at eleven months, because a lapsed credential on a profile is worse than no credential. SAS explicitly never expires, and the rest publish no expiry.
  4. 馃敤 Pair the week with one real output. Use day 6 to write an actual model card for something you have built or used, or day 3 to document how an AI layer would sit over your current team's tools. Turning up with a credential and a result is a different conversation from turning up with seven badges.
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