By a Certified AWS AI Practitioner, Dale Rose | AIF-C01 Score: 1000/1000
There is a version of this article that lists ten links, slaps “free” and “paid” labels on them, and calls it a day.
This is not that article.
What I am sharing here is the actual study system I used to score a perfect 1000 out of 1000 on the AWS Certified AI Practitioner exam (AIF-C01), the specific resources, the order I used them in, the reasons certain tools worked and others did not, and the honest mistakes I almost made along the way.
I have been working in cloud infrastructure for several years. I have held AWS certifications before. I know what a well-constructed AWS exam looks like and how to study for one. But the AIF-C01 caught me off guard in one important way: it is not a memory test. It is a reasoning and application test. The difference between candidates who pass comfortably and those who struggle is not how many flashcards they reviewed, but whether they built a mental model of how AI services fit together on AWS, and whether they can apply that model to novel scenarios under pressure.
That realization shaped everything about how I prepared. And it is the lens through which I want to walk you through every resource below.
Who This Article Is For — And Who It Is Not For
Before we go further, let me be direct about scope.
If you are looking for a quick two-week cram plan, this article will still help you, but I would encourage you to reconsider the timeline. The AIF-C01 covers seven domains, including Generative AI concepts, Foundation Model selection, Amazon Bedrock architecture, SageMaker workflows, Prompt Engineering, Responsible AI principles, and AI Security on AWS. Candidates who rush through this material tend to score in the 700s and leave feeling blindsided by the exam.
If you want to pass with genuine confidence, not just scrape over the 720 passing threshold, then read this in full. The system I used is deliberate, layered, and sequenced for a reason.
The Four-Layer System That Produced a Perfect Score
Before listing individual resources, I want to explain the architecture of my preparation. Every resource I used served one of four specific functions:
Layer 1 — Video: Build a complete mental map of the AWS AI ecosystem. Understand what each service does, why it exists, and how it connects to adjacent services.
Layer 2 — Reading: Lock in precision. Definitions, service limits, edge cases, the subtle differences between Amazon Rekognition and Amazon Comprehend, when Bedrock is the right choice versus SageMaker — all of this lives in written form.
Layer 3 — Hands-on Labs: Develop instinct. The exam presents scenarios. Scenarios become obvious when you have actually seen the service behave in practice. Reading about prompt engineering is not the same as doing it.
Layer 4 — Practice Exams: Build exam fitness. Time management, question pattern recognition, and the discipline to eliminate wrong answers rather than searching for the perfect one. This is a skill that only develops through repetition under timed conditions.
The sequence matters. Jumping to practice exams before the video and reading is like taking a driving test before you have sat in a car. You will fail not because you are unintelligent, but because you have no context for the decisions being asked of you.
Learn more about some of the best exam preparation resources online in 2026 for AWS Certification preparation.
Use the layers in order. Here is everything I put in each one.
Layer 1 — Video Lectures: Build Your Mental Model Before You Touch Anything Else
Andrew Brown (ExamPro) — freeCodeCamp Full Course
Cost: Free Time investment: 15 hours:
This was my starting point, and I recommend it as yours too. Andrew Brown has built his reputation on thorough, honest AWS certification content, and his AIF-C01 course — published for free on freeCodeCamp’s YouTube channel — is the most comprehensive free resource available for this exam at the time of writing.
What makes this course stand out is not just depth — it is Andrew’s ability to explain why AWS built each service the way it did. When you understand the reasoning behind the architecture, scenario questions become significantly easier to navigate. You are not guessing from a list of services; you are reasoning from first principles.
Watch this first. Take notes. Do not rush it. The 15 hours of investment here will save you twice that in confusion later.
AWS Skill Builder — Official Exam Prep Learning Plan
Cost: Free (Standard Plan) Link: https://skillbuilder.aws/learning-plan/3NRN71QZR2/exam-prep-plan-aws-certified-ai-practitioner-aifc01–english/FBV4STG94B
After Andrew Brown’s course, go directly to the official AWS Skill Builder exam prep learning plan. This is content built by the same people who wrote the exam. It tells you — in explicit terms — which services, task statements, and knowledge domains are in scope.
I use Skill Builder as a calibration tool. After watching the freeCodeCamp course, I go through the official plan to identify any areas where my understanding felt thin. Those gaps become my priority reading list for Layer 2.
The free tier of Skill Builder gives you access to all the digital course content you need. You do not have to pay for the enhanced plan unless you want lab access, which I will cover separately.
Stéphane Maarek — Ultimate AWS AI Practitioner Course (Udemy)
Cost: Paid (~$15–20 on sale) Link: https://www.udemy.com/course/aws-ai-practitioner-certified/
I will be honest: I considered skipping this course after watching Andrew Brown’s content. I am glad I did not.
Stéphane’s teaching style is different. Where Andrew excels at breadth and conceptual depth, Stéphane is extraordinarily precise about exam-relevant details. His explanations of Amazon Bedrock — including knowledge bases, agents, guardrails, and model evaluation — are the clearest I encountered across all the resources I reviewed.
Over 2.5 million students have taken Stéphane’s AWS courses. That number reflects genuine quality, not marketing. If you are going to spend money on one video course, spend it here. Wait for a Udemy sale — the course regularly drops to under $20.
Tutorials Dojo — AIF-C01 Video Course 2026
Cost: Paid Link: https://portal.tutorialsdojo.com/courses/aws-certified-ai-practitioner-aif-c01-video-course-2026/
Jon Bonso and the Tutorials Dojo team have a specific expertise that sets them apart from other course providers: they systematically study the exam pattern. Their video course is structured domain by domain, mirroring the official exam blueprint, which makes it excellent for targeted revision.
I used this course during the final two weeks of preparation, specifically to revisit domains where my practice test scores indicated weakness. If your time is limited and you need to triage, Tutorials Dojo’s structured format makes that triage easy.
Layer 2: Reading Materials: Precision Is the Difference Between 720 and 1000
AWS Official Exam Guide PDF
Cost: Free Link: https://d1.awsstatic.com/training-and-certification/docs-ai-practitioner/AWS-Certified-AI-Practitioner_Exam-Guide.pdf
Read this document twice. Once at the very start of your preparation — before any videos — so you understand exactly what is in scope. And once again, in the final week before your exam, use it as a checklist against your knowledge.
The exam guide lists every task statement AWS will test you on. It is not comprehensive enough to study directly, but it is the authoritative map of the territory. Every resource I list below is oriented around this map.
Do not skip this step. Candidates who have not read the exam guide often spend time studying material that simply does not appear on the exam.
Jayendra Patil — AIF-C01 Learning Path
Cost: Free Link: https://jayendrapatil.com/aws-certified-ai-practitioner-aif-c01-exam-learning-path/
Jayendra Patil is one of the most respected names in the AWS certification community. He achieved a perfect score on the AIF-C01 exam, and his study notes reflect that level of preparation.
What distinguishes his learning path is the technical precision. He covers nuances that most video courses simplify away — the specific differences between synchronous and asynchronous inference on SageMaker, the exact conditions under which Amazon Titan models are appropriate versus third-party models on Bedrock, and the governance framework distinctions between Responsible AI principles. These details appear in the harder questions on the exam, and Jayendra’s notes are where I found many of them.
This is my most-recommended free reading resource. Bookmark it early and return to it repeatedly.
Tutorials Dojo — AIF-C01 Exam Guide and Study Path
Cost: Free Link: https://tutorialsdojo.com/aws-certified-ai-practitioner-aif-c01-exam-guide/
Tutorials Dojo’s free exam guide is a domain-level study path that maps the exam blueprint to the right resources. I used it as an organizational backbone — a way to ensure I had covered every domain systematically rather than studying whatever felt interesting.
If you are someone who studies better with a structured checklist than an open-ended reading list, start here and use it as your master document throughout preparation.
Tutorials Dojo — Study Guide eBook (300+ Pages)
Cost: Paid Link: https://portal.tutorialsdojo.com/product/study-guide-ebook-aws-certified-ai-practitioner-aif-c01/
This was my primary reference document during the final month of preparation. Over 300 pages of structured notes, cheat sheets, service comparisons, and domain summaries — all written specifically for the AIF-C01 exam.
The cheat sheets in particular are exceptional. They distill multi-page service documentation into one- or two-page summaries that capture exactly the details that appear on the exam. I printed the key cheat sheets and reviewed them every morning during my final two weeks.
If you are going to buy one reading resource, this is it.
Layer 3 — Hands-On Labs: The Exam Tests What You Have Done, Not Just What You Have Read
This is the layer most candidates skip. It is also the layer that most directly separates high scorers from those who barely pass.
The AIF-C01 exam is scenario-heavy. Every difficult question presents a business situation and asks you to select the most appropriate AWS AI service or architectural approach. Candidates who have only read about these services are working from abstraction. Candidates who have actually used them are working from memory and intuition.
You do not need to spend hundreds of dollars on AWS credits to get hands-on experience for this exam.
AWS PartyRock
Cost: Free Link: https://partyrock.aws
PartyRock is AWS’s browser-based GenAI playground powered by Amazon Bedrock. You can build multi-model AI applications without creating an AWS account, without configuring IAM permissions, and without spending a dollar.
I spent three hours on PartyRock experimenting with different Foundation Models — comparing outputs from Claude, Llama, and Titan models for the same prompt. That three-hour session gave me an intuitive understanding of model selection and prompt engineering that no amount of reading had produced.
Build something on PartyRock. It does not need to be sophisticated. The act of choosing a model, writing a prompt, observing the output, and iterating on that prompt will teach you more about generative AI on AWS than reading five articles about it.
AWS Workshops
Cost: Free Link: https://workshops.aws
AWS Workshops are guided, self-paced lab experiences built by AWS engineers. The Bedrock and SageMaker workshops in particular are directly relevant to the AIF-C01 exam.
I completed the Amazon Bedrock Getting Started workshop and the Responsible AI with Amazon SageMaker workshop during my preparation. Both took roughly two hours each and both gave me concrete experience that showed up in how I approached scenario questions on the actual exam.
Search for workshops tagged “generative AI,” “machine learning,” and “responsible AI” to find the most relevant content.
AWS Skill Builder — Standard Free Plan
Cost: Free Link: https://skillbuilder.aws
Beyond the official exam prep learning plan, Skill Builder’s free tier includes digital courses, short guided lab experiences, and hands-on practice scenarios that are directly aligned with the exam blueprint. There is no reasonable justification for not using this resource.
Edurely — AIF-C01 Labs and Practice Tests
Cost: Paid Link:https://edurely.com/dumps/aws-certified-ai-practitioner-exam-dumps/
If you prefer a single platform for both hands-on labs and practice questions, edurely provides that. Their lab environments are pre-configured, which removes the setup friction that often prevents candidates from getting hands-on time with services like Bedrock and SageMaker.
I used Edurely primarily during the third and fourth weeks of preparation to fill gaps in hands-on experience across services I had not covered through the free workshops.
Layer 4 — Practice Exams: Do Not Walk Into the Exam Without These
Jon Bonso / Tutorials Dojo — AIF-C01 Practice Exams
Cost: Paid Link: https://portal.tutorialsdojo.com/courses/aws-certified-ai-practitioner-aif-c01-practice-exams/
These are the gold standard for AWS practice exams, and that reputation is earned. Tutorials Dojo practice tests do three things exceptionally well.
First, the questions are scenario-based and written at the right difficulty level — challenging enough to expose real gaps, but not artificially tricky in ways that do not reflect the actual exam.
Second, every question comes with a detailed explanation that covers not just why the correct answer is right, but why each incorrect answer is wrong. Learning from wrong answers is where the real score improvement happens.
Third, the domain-based filtering lets you target your weakest areas rather than grinding through full sets repeatedly. When my scores in the Responsible AI domain were lower than I wanted, I ran three consecutive domain-filtered sets on that topic alone and watched my performance improve measurably.
These practice exams raised my mock test scores by approximately 20 percentage points over the course of two weeks. They are not optional.
Stéphane Maarek & Abhishek Singh — Udemy Practice Exams
Cost: Paid (~$15 on sale) Link: https://www.udemy.com/course/practice-exams-aws-certified-ai-practitioner/
The second paid practice resource I used regularly. Stéphane and Abhishek collectively hold over 20 AWS certifications, and their practice questions reflect that deep familiarity with how AWS writes exam questions.
What I value specifically about this set is the diagram-rich explanations. Several architectural concepts — particularly around Bedrock agent flows and SageMaker pipeline architectures — are much clearer when explained visually, and these explanations deliver that.
Use this as your second practice set after Tutorials Dojo. The variation in question style between the two sets is valuable — it prevents you from pattern-matching to one format and forces genuine understanding.
PassITExams — 100+ Free Questions
Cost: Free Link: https://passitexams.com/download/aif-c01-dumps/#tab-wb_cptb_1
A solid free option for early-stage readiness checks. No account required, over 100 questions with AI-powered explanations, and fast enough to work through in a single sitting. I used this at the beginning of Week 5 as a baseline measurement before shifting to the paid practice sets.
Community Study Notes — GitHub
Cost: Free Link: https://github.com/vicsz/aif-c01-study-notes
Community-contributed study notes and practice questions from a candidate who passed AIF-C01. These are described as being close to actual exam question difficulty and they are a useful supplementary resource, particularly during the final week of preparation.
My Week-by-Week Study Timeline
For candidates who want a ready-made schedule, here is the exact timeline I followed:
Week 1: Andrew Brown’s freeCodeCamp course (full) + AWS Official Exam Guide PDF (read once through)
Week 2: AWS Skill Builder Official Learning Plan + Stéphane Maarek’s Udemy course (Bedrock and SageMaker modules prioritized)
Week 3: Jayendra Patil’s learning path + Tutorials Dojo Exam Guide + AWS PartyRock hands-on (3 hours minimum)
Week 4: AWS Workshops (Bedrock + Responsible AI) + Tutorials Dojo Study Guide eBook (full read, cheat sheets highlighted)
Week 5: First full Tutorials Dojo practice exam set (timed) → review every wrong answer → domain-filtered sets on weak areas → second full set
Week 6: Stéphane Maarek & Abhishek Udemy practice sets + Open Exam Prep for additional volume + final cheat sheet review + re-read the Exam Guide PDF once more
Five Things I Wish I Had Known Before Starting
1. Bedrock is the exam’s center of gravity. The exam focuses more heavily on Amazon Bedrock than on any other single service. Understand knowledge bases, agents, guardrails, model evaluation, and prompt management before anything else.
2. Responsible AI is not soft content. It has a dedicated exam domain, and it is tested with scenario-level specificity. AWS expects you to understand bias, fairness, explainability, transparency, and governance in concrete, applied terms — not just as abstract concepts.
3. The difference between services matters more than their individual features. The hardest questions ask you to choose between two reasonable-sounding services. Bedrock versus SageMaker. Comprehend versus Bedrock. Rekognition versus Lookout for Vision. Study the decision criteria for each choice.
4. PartyRock is worth more than it looks. Three hours on PartyRock taught me more about Foundation Model behavior and prompt engineering than any other single resource. Do not skip it because it looks like a toy.
5. Perfect scores come from reviewing wrong answers, not from accumulating correct ones. I spent more time on my practice test reviews than on the tests themselves. That discipline is what turned a potential 850 into a 1000.
Final Thoughts: Why This Certification Is Worth Your Time Right Now
The AWS Certified AI Practitioner certification sits at the intersection of two of the most significant shifts in the technology industry: the rapid democratization of AI tooling and the consolidation of that tooling on cloud platforms.
Employers are increasingly asking not just “do you understand cloud?” but “do you understand how AI runs on cloud?” The AIF-C01 answers that second question with an AWS-issued credential that is recognized globally.
Beyond the credential itself, the process of preparing for this exam will leave you with a working knowledge of Amazon Bedrock, SageMaker, and the AWS AI services ecosystem that translates directly into better architectural decisions in your day-to-day work.
I passed this exam with a perfect score. I am sharing this system because I know it works — not in theory, but in practice.
Use the resources in the order I have laid out. Work through all four layers. Do not skip the hands-on time. Review your wrong answers more carefully than you celebrate your right ones.
You will pass. And when you do, share what worked for you.
Have questions about any stage of this preparation? Drop them in the comments. I answer every serious question.
#AWSCertification #AIPractitioner #AIFC01 #AmazonBedrock #GenerativeAI #CloudCertification #AWSCloud
