코스 개요
모듈 1: 소개 및 기본 개념
- Microsoft Intune / 엔드포인트 매니저란?
- Configuration Manager와의 관계 (공동 관리, 클라우드 연결)
- 모던 엔드포인트 관리의 장점
- 주요 개념: 디바이스, 애플리케이션, 데이터, 사용자
- Intune 아키텍처, 역할, 라이선싱
모듈 2: 아이덴티티 및 액세스
- Microsoft Entra ID / Azure AD: 주요 개념
- AD에서 Entra ID (Azure AD Connect)로의 동기화
- 디바이스 가입 유형: Azure AD Join, Hybrid AD Join
- Intune에서의 역할, 그룹 및 권한
- Conditional Access와 Intune과의 통합
모듈 3: 디바이스 등록
- 등록 방법 (Windows, iOS, Android, macOS)
- Windows Autopilot: 개념, 프로필, 프로세스
- DEP (Apple), Zero-touch (Android)를 통한 자동 등록
- 개인 디바이스 (BYOD) vs 기업 디바이스 관리
- MDM vs MAM (모바일 디바이스 관리 / 모바일 애플리케이션 관리)
모듈 4: 구성 및 준법성 정책
- 디바이스 준법성 정책
- 구성 정책 (Configuration Profiles)
- 디바이스 제한 (제한, 보안 제어)
- 앱 보호 정책
- 준법성을 기반으로 한 조건부 액세스 정책
모듈 5: 애플리케이션 관리
- Intune에서의 애플리케이션 유형: Line of Business (LOB), Win32, Microsoft Store, 웹 앱
- 애플리케이션의 배포, 설치, 제거, 업데이트
- 애플리케이션 데이터 보호
- 애플리케이션 정책 vs 기업 데이터
- 라이선스 및 할당 관리
모듈 6: 업데이트 및 패치
- Business용 Windows Update와 Intune 통합
- 기능/품질 업데이트 정책
- 배포 링 모델
- 업데이트 상태 모니터링
- 기업 환경에서의 업데이트 전략
모듈 7: 보안 및 보호
- Microsoft Defender for Endpoint + Intune 통합
- Microsoft 보안 기준/템플릿
- 위협 보호 (악성 소프트웨어, 방화벽 등)
- 디바이스 암호화 (BitLocker) 및 암호화 정책
- 인증서 관리 및 안전한 VPN/Wi-Fi 프로파일
모듈 8: 모니터링, 보고, 문제 해결
- 대시보드 및 기본 보고서
- 로그 및 진단 (예: 등록 오류, 정책 관리)
- Intune에서의 지원 및 문제 해결 도구
- 관리 포털 사용 (디바이스 포털, 회사 포털)
- 경고 및 알림
모듈 9: 고급 시나리오 / 통합
- Configuration Manager와의 공동 관리
- 등록 없이 디바이스 관리 (“기존 디바이스용 Autopilot”)
- Microsoft 서비스 (Defender, Azure, Copilot 등)와의 통합
- PowerShell, Graph API를 활용한 자동화
- 거버넌스 전략, 기업 규모 구조
- 디자인 및 구현을 위한 최선의 방법
요약 및 다음 단계
요건
- Microsoft 365 및 Azure 환경에 대한 이해
- Windows 또는 모바일 디바이스 관리 경험이 있음
- 조직 IT 보안 원칙에 익숙함
대상자
- 시스템 관리자
- 엔드포인트 관리 전문가
- 기업 디바이스 및 보안 정책을 관리하는 IT 전문가
회원 평가 (5)
**Course Title: Introduction to Big Data and Hadoop****Course Duration:** 40 hours**Course Description:**This course provides an in-depth overview of big data concepts and the Hadoop ecosystem. Participants will gain hands-on experience with Hadoop tools and frameworks, enabling them to process and analyze large datasets efficiently.**Course Outline:****Module 1: Introduction to Big Data**- Understanding Big Data - Definition and characteristics - Importance of Big Data in today's world - Examples of Big Data use cases- Big Data Challenges - Volume, Velocity, Variety, Veracity - Traditional vs. Big Data processing- Big Data Technologies - Overview of Hadoop, Spark, and other tools - Big Data ecosystem components**Module 2: Introduction to Hadoop**- What is Hadoop? - History and evolution - Core components: HDFS, MapReduce, YARN- Hadoop Architecture - Cluster setup and configuration - Data storage and processing workflows- Setting Up Hadoop - Installation on Linux and Windows - Configuration files and settings**Module 3: Hadoop Distributed File System (HDFS)**- Introduction to HDFS - Architecture and components - Data replication and fault tolerance- HDFS Operations - File operations: read, write, delete - Directory operations: create, delete, list- HDFS Best Practices - Data organization and management - Performance tuning and optimization**Module 4: MapReduce Programming**- Introduction to MapReduce - Concepts and workflow - MapReduce programming model- Writing MapReduce Programs - Setting up the development environment - Writing and running MapReduce jobs- MapReduce Examples - Word count example - Custom MapReduce programs**Module 5: Advanced Hadoop Ecosystem**- Apache Hive - Introduction and architecture - Querying data with HiveQL- Apache Pig - Introduction and architecture - Data processing with Pig Latin- Apache HBase - Introduction and architecture - NoSQL database concepts- Apache Zookeeper - Introduction and architecture - Coordination and management services- Apache Sqoop - Introduction and architecture - Data import/export between Hadoop and relational databases- Apache Flume - Introduction and architecture - Data ingestion and streaming**Module 6: Hadoop Administration**- Hadoop Cluster Management - Cluster setup and configuration - Monitoring and maintenance- Security in Hadoop - Authentication and authorization - Data encryption and security best practices- Performance Tuning - Optimizing Hadoop performance - Troubleshooting common issues**Module 7: Real-world Use Cases and Projects**- Case Studies - Real-world applications of Big Data and Hadoop - Success stories and best practices- Hands-on Projects - Designing and implementing Big Data solutions - Working on real-world datasets**Assessment and Certification:**- Participants will be assessed through quizzes, assignments, and a final project.- Upon successful completion, participants will receive a certificate of achievement.
Marcin - Instytut Energetyki- Panstwowy Instytut Badawczy
코스 - MS Word - poziom podstawowy
기계 번역됨
**Course Outline****Course Title:** Mastering Mobile App Development**Duration:** 12 weeks**Scope of Material**This course covers the essentials of mobile app development, focusing on both iOS and Android platforms. Students will learn to design, develop, and deploy mobile applications using industry-standard tools and frameworks. The curriculum includes an introduction to mobile app architecture, user interface design, and backend integration. Students will gain hands-on experience with Xcode, Swift, Android Studio, Java, and Kotlin. Additionally, the course will cover best practices for app performance, security, and user experience.**Course Objectives**- Understand the fundamentals of mobile app development for iOS and Android.- Design and implement user interfaces for mobile applications.- Develop and integrate backend services for mobile apps.- Utilize version control systems like Git for collaborative development.- Apply best practices for app performance, security, and user experience.- Deploy mobile applications to the App Store and Google Play.**Course Outline****Week 1-2: Introduction to Mobile App Development**- Overview of mobile app development ecosystem- Setting up the development environment- Introduction to Xcode and Swift for iOS development- Introduction to Android Studio and Java/Kotlin for Android development**Week 3-4: Mobile App Architecture**- Understanding mobile app architecture patterns- Model-View-Controller (MVC) and Model-View-ViewModel (MVVM) architectures- Designing scalable and maintainable mobile applications**Week 5-6: User Interface Design**- Principles of mobile UI/UX design- Creating intuitive and user-friendly interfaces- Using Storyboard and Auto Layout in Xcode- Using XML layouts and ConstraintLayout in Android Studio**Week 7-8: Backend Integration**- Introduction to RESTful APIs and web services- Integrating backend services with mobile applications- Working with JSON and XML data formats- Implementing authentication and authorization**Week 9-10: Advanced Topics**- Working with databases: SQLite, Room, and Core Data- Implementing push notifications- Utilizing third-party libraries and SDKs- Implementing in-app purchases and advertisements**Week 11: Performance and Security**- Optimizing app performance- Ensuring app security and data protection- Conducting thorough testing and debugging**Week 12: Deployment and Best Practices**- Preparing apps for deployment to the App Store and Google Play- Following best practices for app store optimization (ASO)- Monitoring app performance and user feedback- Iterating and updating mobile applications
Marcin - Instytut Energetyki- Panstwowy Instytut Badawczy
코스 - Word dla zaawansowanych
기계 번역됨
There was a good amount of information for the time of training. Also the trainer was very engaged with the group, especially when people were having troubles or asking questions. It was very nice of him to offer help in case of future ideas.
Aleksander Jarecki - Amazon Development Center Poland Sp. z o.o.
코스 - Visual Basic for Applications (VBA) in Excel (intermediate level)
이미지 형식 및 템플릿에 관한 몇 가지 작은 요령 - 매우 유용합니다 :)
Natalia Wawrzyniak - Akademia Morska w Szczecinie
코스 - Advanced MS PowerPoint
기계 번역됨
Adam was very knowledgeable and had a great layout.