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AWS Certified AI Practitioner Practice Exam Solutions

The AWS Certified AI Practitioner practice exam problem-solving course is a core summary course for certification success. First, you will quickly review the basic concepts of AI/ML and generative AI, and learn the functionalities and use cases of key AWS AI services that frequently appear on the exam (e.g., SageMaker, Rekognition, Polly, etc.). Based on this, you will practice determining which AI solution is suitable for various real-world problem situations, and also cover topics related to the responsible use of AI models and data security. Finally, you will learn problem-solving strategies for each type of past exam question and prepare for the exam through practical mock tests. Through this course, you can efficiently prepare for the exam in a short period.

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21 learners

  • sdj0831
자격증
시험
AI 활용법
Machine Learning(ML)
AWS
AI
Generative AI

What you will learn!

  • Basic Principles of AI and ML

  • Basic Principles of Generative AI

  • Foundation Model Application

  • Responsible AI Guidelines

  • Security, Compliance, and Governance for AI Solutions

  • Mock Exam Qs (Latest Edition)_PDF

Master the AWS AI Certification AIF-C01

Lectures are based on rich explanations of problems so that students can think deeply about and solve the problems themselves.

(Please refer to the separate PDF file for the answer key)

  • "AI Era Survival Skills: Master AWS-Based AI Certifications!

  • Increased certification passing rate due to reflection of the latest past exam questions!!!

I recommend this to these people

Beginners and beginners in AI/ML

Great for those who want to systematically learn everything from the basic concepts of AI and machine learning to how to utilize various AWS AI services.

Applicants for AIF-C01 certification

You can efficiently study the core content covered in the certification exam and be 100% prepared for the exam.

IT expert

This course is recommended for those who want to acquire AI/ML knowledge in addition to their existing IT capabilities and carry out AI projects in an AWS environment.

After class

  • Understanding and Utilizing AWS AI/ML Services: Understand the core features and use cases of AWS's major AI/ML services, including Amazon SageMaker, Rekognition, Comprehend, Polly, Lex, and Transcribe, and lay the foundation for applying them to solve real-world problems.

  • Establish basic machine learning concepts: Establish concepts about the basic types of machine learning, such as supervised learning, unsupervised learning, and reinforcement learning, as well as major algorithms (e.g., classification, regression, and clustering).

  • Understand the AI/ML Project Workflow: Understand the overall flow of a machine learning project, from problem definition to data preparation, model training, evaluation, deployment, and monitoring, and the key considerations for each step.

  • Understand the concepts of generative AI and underlying models: Acquire fundamental knowledge of the fundamental principles, major architectures, and application areas of generative AI and underlying models, including GANs, VAEs, transformer models, and large language models (LLMs).

  • Understand Responsible AI Guidelines: Raise awareness of ethical considerations, including fairness, transparency, explainability, privacy, and security, in the development and operation of AI systems, as well as AWS's related principles and tools.

  • Understand AI Solution Security and Governance Fundamentals: Understand the fundamentals of AWS services and best practices needed to secure AI solutions and establish compliance and governance frameworks, including AWS IAM, KMS, Security Hub, GuardDuty, and Config.

  • Prepare for the AWS Certified AI Practitioner (AIF-C01) Certification Exam: Gather core knowledge for each major domain covered in the exam and cultivate problem-solving skills to increase your chances of passing.

Features of this course

Provides accurate and objective explanations of past exam questions to help students solve them.

Presentation 1

Key strengths of this course (1)

Provide objective and rich explanations so that students can solve problems based on their understanding of the problem. Answers are not disclosed in the video itself.

The correct answer is provided in a separate PDF document.

Key strengths of this course (2)

Completely conquer AIF-C01 by solving and understanding many past exam questions.

These keywords encompass the core content of the AWS AI Certification (AIF-C01) and the key concepts students will acquire through study.

1. AWS AI/ML Services:

  • Amazon SageMaker

  • Amazon Rekognition

  • Amazon Comprehend

  • Amazon Polly

  • Amazon Lex

  • Amazon Transcribe

  • Amazon Bedrock

  • Amazon Titan

2. Machine Learning Basics:

  • Supervised Learning

  • Unsupervised Learning

  • Reinforcement Learning

  • Classification

  • Regression

  • Clustering

  • Data Preprocessing

  • Model Training

  • Model Evaluation

  • Model Deployment

  • Overfitting / Underfitting

  • Hyperparameter Tuning

3. Generative AI and Foundation Models:

  • Generative Adversarial Networks (GANs)

  • Variational Autoencoder (VAE)

  • Transformer Model

  • Large Language Model (LLM)

  • Prompt Engineering

  • Fine-tuning

  • Retrieval Augmented Generation (RAG)

  • Latent Space

  • Data Augmentation

4. Responsible AI:

  • Fairness

  • Transparency

  • Explainability (XAI)

  • Privacy

  • Security

  • Robustness

  • Resilience

  • Human Oversight

  • AI Ethics

  • Bias Mitigation

  • SageMaker Clarify

5. AI Solution Security, Compliance, and Governance:

  • AWS IAM (Identity and Access Management)

  • AWS Key Management Service (AWS KMS)

  • AWS Config

  • AWS GuardDuty

  • AWS Security Hub

  • AWS CloudTrail

  • Amazon Macie

  • AWS WAF (Web Application Firewall)

  • AWS Shield

  • Network Security (VPC, Security Groups, NACLs)

  • Data Encryption

  • Compliance (GDPR, HIPAA, etc.)

  • AI Governance

  • AWS Well-Architected Framework

  • Shared Responsibility Model

6. General/Other:

  • Natural Language Processing (NLP)

  • Computer Vision

  • Speech Recognition

  • Text-to-Speech (TTS)

  • Chatbot

  • API (Application Programming Interface)

Q. Does the AIF-C01 certification exam reflect the latest questions?

Because it reflects questions that are actually tested on certification exams, it is very similar or identical to actual questions.

Things to note before taking the course

Practice environment

Not applicable

Learning Materials

  • The format of the learning materials provided (PPT, cloud link, text, source code, assets, programs, example problems, etc.)

  • Quantity and capacity, features and notes on other learning materials, etc.

Player Knowledge and Precautions

  • Whether required prerequisite knowledge is required considering learning difficulty

  • Content directly related to the course, such as lecture video quality (audio/video quality), and recommended learning methods

  • Questions/Answers and future updates

  • Notice regarding copyright of lectures and learning materials

Recommended for
these people

Who is this course right for?

  • IT and non-IT experts

  • Interested in AI/ML

  • Business Leaders and Managers

  • Students and job seekers

Hello
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189

Learners

26

Reviews

10

Answers

4.2

Rating

10

Courses

Digital Spec Up(이하 (주)디펙업)은 IT 및 DT 관련 과정들을 전문으로 제작 및 개발하는 콘텐츠 기업입니다.

IT 관련 분야로 취업에 도움을 드리기 위해 자격증 과정을 개설하여 운영하고 있으며, 앞으로도 다양한 IT 자격증 관련 과정을 포함한 IT 부분의 특화된 콘텐츠를 지속적으로 제공해 드릴 예정입니다.

디팩업의 대표인 저는 20년간 IT보안, ISP 및 PI 컨설팅과 IT 기획 업무를 주로 해왔고, 주로 국제 공인 자격증을 비롯한 다수의 IT 관련 자격증을 갖고 있습니다.

주요 학력

  • 선문대학교 산업공학과 졸업

  • 성균관대학교 경영대학원 MBA(경영학) 졸업

주요 경력

  • 전) (주)세이퍼존 정보보안기술연구소 정보보안컨설팅 / 대리

  • 전) (주)인젠 NCA보안지원팀 정보보안 파트 위탁 운영 / 대리

  • 전) (주)제이티 경영혁신실 IT기획 및 정보보안 총괄 / 과장

  • 전) LS글로벌(주) IT기획팀 과장

  • 전) (주)코어인포텍 컨설팅 사업본부 / 부장

  • 전) 셀레스티카 코리아(유) IT기획팀 / 차장(팀장)

  • 전) (주)얌테이블 애자일 그룹 R&D팀 / 부장(팀장)

  • 전) KTDS 보안사업팀 / 부장

  • 전) 천재교과서 ISP 및 PI 컨설팅 프로젝트 참여(프리랜서)

  • 전) (주)컨셉위드인사이트 컨설팅사업본부 / 이사

  • 현) (주)디펙업 대표 강사

주요 강의 경력

  • 현) KG에듀원 학점은행 경영학 교강사

  • 현) 고려아카데미 컨설팅 이러닝 과정 IT 및 경영 분야 온라인 튜터

  • 현) 멀티캠퍼스 이러닝 과정 IT 및 경영 분야 온라인 튜터

  • 현) 온캠퍼스 이러닝 과정 IT 및 경영 분야 온라인 튜터

  • 현) IT분야 내용전문가로 활동 중(SME) - 정보보안, 데이터 아키텍처, 데이터 거버넌스, 사물인터넷 분야

  • 현) (주)디펙업 IT 자격증에 관련된 온라인 콘텐츠 제작 및 개발

보유 자격증

  • CIW Adminstrator

  • CIW Security Analyst

  • CompTIA Network+ Pro

  • CompTIA Server+ Pro

  • CompTIA I-Net+ Pro

  • LPIC Level 2

     

  • 정보처리 기사, 정보보안 기사, 빅데이터 분석 기사

주요 저서

이기적 정보보호능력검정(TOLIS) 수험서 집필 중(영진닷컴-2025년 11월 출간 예정)

개인 유튜브 채널: www.youtube.com/@신동주-s1b

디펙업 카페: https://cafe.naver.com/digitalspecup

Curriculum

All

7 lectures ∙ (5hr 20min)

Course Materials:

Lecture resources
Published: 
Last updated: 

Reviews

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1 reviews

1.0

1 reviews

  • 최영순님의 프로필 이미지
    최영순

    Reviews 1

    Average Rating 1.0

    1

    100% enrolled

    AI로 문제은행만 읽음. 강의 내용엔 답도 없음. 기출문제 다운로드 받는데 66000만원을 주는 수강 내용임.

    • 디펙업
      Instructor

      학습자님 안녕하세요. 학습에 불편을 드렸다면, 죄송합니다. 본 기출문제 풀이 과정의 의도는 본문에서 문제를 읽고, 어떤 방향으로 문제를 풀어볼지 생각하시라는 의도에서 보충 설명은 하되 보기는 별도로 읽지 않도록 제작한 것입니다. 그리고, 이 강의의 특징란에 동영상에서 정답은 공개하지 않는다고 했는데, 그것까지는 확인을 못하셨던 것 같아요. 그리고 수강하시기 전에 미리 보기 동영상도 제공하는데 그것까지는 확인을 하셨는지 모르겠네요. 즉, 학습을 하시면서 문제를 풀기 전에 문제의 출제 의도를 파악하고, 한 번 생각하시라는 의도에서 제작한 것입니다. 또한 문제의 정답과 풀이에 대한 상세한 것은 별도의 PDF로 다운로드 가능합니다. 아마도 학습자님의 의도와는 맞지 않으셨던 것 같아서 죄송한 마음 뿐입니다. 다음부터는 이러한 피드백을 주신 것을 바탕으로 첨진적으로 개선해 나가도록 하겠습니다. 감사합니다.

    • 저도 이번 강의 수강했는데, 저에게는 이 강의가 도움이 많이 되었어요. 물론 합격도 했구요. 감사합니다.

$51.70

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