COURSE PREVIEWAbout this course
Pass the AWS Certified AI Practitioner (AIF-C01) on your first attempt - with 6 full-length, exam-realistic practice tests.
This course gives you 390 unique multiple-choice questions (6 x 65 questions) built strictly to the official AWS Exam Guide v1.4 blueprint. Every question includes a thorough explanation that tells you why the correct answer is right and why each distractor is wrong - so you actually learn the material instead of just memorizing answers.
What you get:
6 full practice exams - 65 questions each, 90-minute timer, 70% pass mark (matches the real exam exactly)
390 unique questions - no recycling between exams
Domain-weighted - every exam follows the official 20% / 24% / 28% / 14% / 14% domain split
Scenario-based - 70%+ of questions are "A company..." / "A team needs..." style, just like the real exam
Detailed explanations for every question, anchored to AWS services and the Well-Architected Framework
Lifetime access - retake as many times as you like, on any device
Mobile-friendly - practice on the online learning app while commuting
Domains covered (matches AWS Exam Guide v1.4):
Domain 1 - Fundamentals of AI and ML (20%): AI/ML/DL terminology, supervised vs. unsupervised vs. reinforcement learning, ML lifecycle, MLOps, evaluation metrics
Domain 2 - Fundamentals of Generative AI (24%): tokens, embeddings, foundation models, multi-modal, Amazon Bedrock, SageMaker JumpStart, Amazon Q, PartyRock
Domain 3 - Applications of Foundation Models (28%): model selection, RAG, vector databases, agents, prompt engineering, fine-tuning, RLHF, evaluation (ROUGE, BLEU, BERTScore)
Domain 4 - Guidelines for Responsible AI (14%): Bedrock Guardrails, SageMaker Clarify, Model Monitor, Augmented AI (A2I), bias/variance, model cards, human-centered design
Domain 5 - Security, Compliance, Governance (14%): IAM, KMS, Macie, PrivateLink, prompt injection defense, AWS Config, Audit Manager, Artifact, CloudTrail, GenAI Security Scoping Matrix
Who this course is for:
Anyone preparing for the AWS Certified AI Practitioner (AIF-C01) exam
Cloud and IT professionals validating their generative AI knowledge
Solutions architects, data engineers, and ML enthusiasts moving into the GenAI space
Students and career changers looking for a foundational AWS AI certification
How to use this course:
Diagnostic round - take Practice Exam 1 to identify weak domains
Targeted study - review explanations and re-read AWS docs for any domain you scored under 70%
Practice exams 2-5 - take one every 2-3 days, reviewing every wrong answer in depth
Final readiness check - take Practice Exam 6 under timed exam conditions. If you score 75%+ consistently, you are ready
30-day money-back guarantee - if this course doesn't help you prepare for the AIF-C01, online learning's 30-day refund policy has you covered. Click "Buy now" and start your AWS Certified AI Practitioner journey.
What you'll learn
- Pass the AWS Certified AI Practitioner (AIF-C01) exam on your first attempt with confidence
- Master all 5 official exam domains: AI/ML fundamentals, Generative AI, Foundation Models, Responsible AI, and Security & Governance
- Identify the right AWS AI service (Bedrock, SageMaker, Q, Comprehend, Rekognition, Textract) for any business scenario
- Apply prompt engineering, RAG, fine-tuning, and FM evaluation techniques (ROUGE, BLEU, BERTScore) to real workloads
- Implement responsible AI controls (Bedrock Guardrails, SageMaker Clarify, Model Monitor) to mitigate bias and hallucinations
- Secure generative AI workloads with IAM, KMS, Macie, PrivateLink, and the GenAI Security Scoping Matrix
Before you begin
- No prior AI or machine learning experience required - the AIF-C01 is a foundational certification
- Basic familiarity with cloud computing concepts is helpful but not required
- A free AWS account is recommended if you want to explore the services hands-on (not required)
- A quiet 90 minutes per practice exam to simulate real test conditions
Who this is for
- Candidates preparing for the AWS Certified AI Practitioner (AIF-C01) certification
- Cloud, IT, and data professionals adding generative AI to their skill set
- Solutions architects, developers, and DevOps engineers entering the AI/ML space
- Students, career changers, and self-learners pursuing their first AWS certification
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