[Practice Exams] AWS Certified AI Practitioner-Video(Part-1)

Name: [Practice Exams] AWS Certified AI Practitioner-Video(Part-1)
Rating: 4.5 (76 reviews)

Confidently Pass the AWS Certified AI Practitioner with Step-by-Step Video Explanations for Every Question

Created byPrashant Lakhera

Last updated 1/2026

English

English [Auto],

What you'll learn

Master the AWS Certified AI Practitioner (AIF-C01) exam through targeted practice
34 video lectures, each providing an explanation of every question.
Walk through each question step-by-step to solidify your understanding.
Learn not just the answers, but the reasoning behind them for real exam readiness
Video lectures are aligned with the AWS Certified AI Practitioner (AIF-C01) exam structure.
Perfect for reinforcing knowledge and mastering the exam through visual learning.

Course content

3 sections • 36 lectures • 1h 31m total length

NOTES0:17

Practice Exam - AWS Certified AI Practitioner
Question 1: Best method to predict future inventory needs from past sales?3:06
Question2: What is it called when an AI model predicts using trained data?2:32
Question3: As an AI engineer, which ML technique detects suspicious IPs?2:15
Identify and detect suspicious IP addresses using anomaly detection, the ML method best suited for spotting outliers in network traffic.
Question4: As an AI engineer, which AI model completes sentences from input?2:46
Question5: Which AWS tool converts PDF documents to text for ML models?2:31
Question 6: Which AWS service identifies celebrities in a collection of images?2:26
Question 7: What is Top-P in generative AI, and how does it affect output?3:09
Question 8: What does 'temperature' control in generative AI output?3:14
Question 9: What is an 'epoch' in ML training, and how does it affect it?3:17
An epoch is a full pass through the entire training data, with parameters updated to minimize the loss. More epochs can improve learning but increase overfitting risk.
Question 10: Which AWS Bedrock feature ensures AI ethics, safety, and privacy?3:14
Question 11: Which Bedrock feature helps LLMs use company documents for queries?2:32
Question 12: Which AWS Bedrock feature helps select the right foundation model?2:05
Question 13: What are tokens in generative AI, and how are they used?2:30
Question 14: What are embeddings in generative AI, and how are they used?2:33
Question 15: Which AWS service keeps S3 data transfers within the backbone?2:31
Question 16: Which AWS service manages and enforces permissions for Bedrock?2:23
Question17:Which SageMaker service helps derive insights from data without code?2:29
SageMaker canvas provides a no-code solution for deriving insights from non-structured data without ml expertise.
Question 18: Which AWS service allows secure sharing of machine learning models?2:14
Question 19: Which SageMaker inference option offers the lowest latency?2:11
Question 20: What does a model analyze to recognize objects in an image?2:15
Question 21: Which service helps SageMaker Ground Truth with human labeling?3:04
Question 22: Which Bedrock feature automates multi-step tasks across systems?2:33
Question 23: Which statements correctly explain overfitting and underfitting?3:13
Question 24: In the context of machine learning, what is bias in a model?2:39
Question 26: What is 'few-shot prompting' in AI, and how is it used?3:13
Question 25: Which AWS instance series is energy-efficient for ML workloads?2:55
Question 27: Which AI technique allows generating answers without retraining?2:51
Question28: Which approach refines model responses without full retraining?2:45
Question29: Which approach is best for calculating ball probability?2:51
Apply a rule-based system using conditional logic to directly calculate the probability of selecting a white ball from the bag. Avoid unnecessary machine learning for this simple probability task.
Question30: Which steps are needed to use a custom model with Bedrock?2:46
Question31: Which AWS service efficiently summarizes lengthy documents?2:08
Learn to identify the AWS service that can automatically summarize lengthy documents using natural language processing, with Amazon Comprehend as the correct choice.
Question32: Which AWS service logs API activity for Bedrock compliance?2:37
Question33:Which SageMaker feature deploys models quickly for customization?2:11

Requirements

To take this practice test, you should have a basic understanding of AWS and foundational knowledge of machine learning concepts

Description

Are you preparing for the AWS Certified AI Practitioner (AIF-C01) exam and want to ensure you pass with confidence? This course is designed to help you succeed by providing comprehensive, step-by-step explanations for each question, ensuring you fully understand the core concepts of AI and machine learning within the AWS ecosystem.

With 34 detailed video lectures, this course walks you through practice questions covering a range of topics, including foundational AI concepts, machine learning models, and the use of key AWS services such as Amazon SageMaker and AWS Bedrock. Each video breaks down complex questions, helping you grasp not just the answers, but the underlying reasoning and logic, so you’ll be fully prepared for the exam.

This course is perfect for those with basic knowledge of AWS and machine learning, and it is ideal for anyone looking to pass the AWS Certified AI Practitioner exam on their first attempt. The practice exams and detailed explanations provide the perfect combination of knowledge and exam readiness, equipping you with everything you need to succeed.

Enroll today and start your journey toward becoming a certified AWS AI Practitioner and clear AWS AI Practitioner exam with confidence!

If you come across any question that seems incorrect, please don't hesitate to send me your feedback. I'd appreciate your input!"

Who this course is for:

This course is for anyone aiming to pass the AWS Certified AI Practitioner (AIF-C01) exam with confidence by gaining a solid understanding of the core concepts.

[Practice Exams] AWS Certified AI Practitioner-Video(Part-1)

What you'll learn

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Course content

NOTES1 lecture • 1min

AWS Certified AI Practitioner - Introduction2 lectures • 4min

Introduction33 lectures • 1hr 28min

Requirements

Description

Who this course is for: