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Course Outline
Module 1: Introduction and Fundamentals
- What is Microsoft Intune / Endpoint Manager?
- Relationship with Configuration Manager (co-management, cloud attach)
- Benefits of modern endpoint management
- Key concepts: devices, applications, data, users
- Intune architecture, roles, licensing
Module 2: Identity and Access
- Microsoft Entra ID / Azure AD: main concepts
- Synchronization from AD to Entra ID (Azure AD Connect)
- Device join types: Azure AD Join, Hybrid AD Join
- Roles, groups, and permissions in Intune
- Conditional Access and its integration with Intune
Module 3: Device Enrollment
- Enrollment methods (Windows, iOS, Android, macOS)
- Windows Autopilot: concepts, profiles, processes
- Automated enrollment with DEP (Apple), Zero-touch (Android)
- Personal device (BYOD) vs corporate device management
- MDM vs MAM (Mobile Device Management / Mobile Application Management)
Module 4: Configuration and Compliance Policies
- Device compliance policies
- Configuration policies (Configuration Profiles)
- Device restrictions (restrictions, security controls)
- App Protection Policies
- Conditional access policies based on compliance
Module 5: Application Management
- Types of applications in Intune: Line of Business (LOB), Win32, Microsoft Store, web apps
- Deployment, installation, uninstallation, and updating of apps
- Application data protection
- Application policies vs corporate data
- License and assignment management
Module 6: Updates and Patches
- Windows Update for Business and Intune integration
- Feature/quality update policies
- Deployment ring models
- Monitoring update status
- Update strategies in corporate environments
Module 7: Security and Protection
- Microsoft Defender for Endpoint + integration with Intune
- Microsoft security baselines/templates
- Threat protection (antimalware, firewall, etc.)
- Device encryption (BitLocker) and encryption policies
- Certificate management and secure VPN/Wi-Fi profiles
Module 8: Monitoring, Reporting, and Troubleshooting
- Dashboards and default reports
- Logs and diagnostics (e.g., enrollment errors, policy management)
- Support and troubleshooting tools in Intune
- Use of administration portals (device portal, company portal)
- Alerts and notifications
Module 9: Advanced Scenarios / Integrations
- Co-management with Configuration Manager
- Device management without enrollment (“Autopilot for existing devices”)
- Integrations with other Microsoft services (Defender, Azure, Copilot, etc.)
- Automation with PowerShell, Graph API
- Governance strategies, enterprise-scale structures
- Best practices for design and implementation
Summary and Next Steps
Requirements
- An understanding of Microsoft 365 and Azure environments
- Experience with Windows or mobile device management
- Familiarity with organizational IT security principles
Audience
- System administrators
- Endpoint management specialists
- IT professionals managing enterprise devices and security policies
21 Hours
회원 평가 (5)
**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
Course - Word dla zaawansowanych
기계 번역됨
**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
Course - MS Word - poziom podstawowy
기계 번역됨
Adam was very knowledgeable and had a great layout.
Corey Reis - Lockheed Martin
Course - Advanced Slide Design in PowerPoint
이미지 형식 및 템플릿에 관한 몇 가지 작은 요령 - 매우 유용합니다 :)
Natalia Wawrzyniak - Akademia Morska w Szczecinie
Course - Advanced MS PowerPoint
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.
