Learn Cloud Computing - AWS

教育

¥300 · iPad対応

Master Cloud Computing, AWS, Azure, and DevOps with the most comprehensive and interactive learning app. Whether you're preparing for cloud certifications (AWS Solutions Architect, Azure Fundamentals, Cloud Practitioner) or building job-ready skills, this is your all-in-one path to becoming a Cloud Engineer. COMPLETE CURRICULUM - Learn Everything In One App.Start from scratch and become job-ready with our structured learning path: Cloud Fundamentals: - What is Cloud Computing & its history - IaaS, PaaS, SaaS service models - Public, Private & Hybrid cloud deployment - Cloud vs Traditional IT infrastructure - Benefits, use cases & business value Compute Technologies: - Virtual Machines (VMs) & auto-scaling - Containers & Docker fundamentals - Serverless computing (Lambda, Cloud Functions) Databases & Storage: - Relational databases (RDS, Azure SQL, Cloud SQL) - NoSQL databases (DynamoDB, Cosmos DB, Firestore) - Data warehousing (Redshift, BigQuery, Synapse) Cloud Architecture & Design: - Microservices architecture patterns - Event-driven & serverless architectures - High availability & fault tolerance design Cloud Security: - Identity & Access Management (IAM) - Network security: VPCs, firewalls, security groups - Zero Trust security model DevOps & Automation: - CI/CD pipelines (GitHub Actions, Azure DevOps, CodePipeline) - Infrastructure as Code (Terraform, CloudFormation, ARM) - Configuration management (Ansible, Chef, Puppet) - Git workflows & version control strategies - Automated testing & deployment Monitoring & Observability: - Logging & log aggregation (CloudWatch, Azure Monitor) - Metrics & alerting (Prometheus, Grafana, Datadog) - Distributed tracing (X-Ray, Jaeger) - Application Performance Monitoring (APM) - Incident response & SRE practices AI & Data in the Cloud: - Machine Learning platforms (SageMaker, Azure ML, Vertex AI) - Big data processing (EMR, Databricks, Dataflow) - Real-time analytics & stream processing - AI model deployment & MLOps basics Edge, Mobile & IoT: - Edge computing fundamentals - IoT cloud integration (AWS IoT, Azure IoT Hub) - 5G & mobile cloud technologies - Content Delivery Networks (CDN) Web Backend Technologies: - API design & management (API Gateway, Apigee) - Serverless backends & BaaS - GraphQL & RESTful services in cloud - Backend-as-a-Service platforms Developer Tools: - Cloud CLIs & SDKs (AWS CLI, Azure CLI, gcloud) - Cloud IDEs & development environments - Infrastructure visualization tools - Cost estimation & billing dashboards Cloud Redis & Caching: - Redis in cloud environments - Caching strategies & patterns - Session management & rate limiting Cloud Networking: - Virtual Private Clouds (VPC, VNet) - Load balancers & traffic management - DNS, CDNs & global acceleration - VPNs, Direct Connect & hybrid connectivity - Software-Defined Networking (SDN) AI TUTOR - Your 24/7 Cloud Learning Assistant: - Ask any cloud architecture or certification question - Get AWS, Azure & GCP concepts explained simply - Personalized learning recommendations GAMIFIED LEARNING - Stay Motivated: - Daily learning streaks with fire animations - XP points & level progression - Study reminders with push notifications LEARN OFFLINE - Anytime, Anywhere: - All content are offline access - Study on your commute without internet - Perfect for learning on planes, trains, or remote areas POWERFUL ORGANIZATION TOOLS: - Bookmarks: Save lessons for quick access - Notes: Write personal notes on any lesson - Code Snippets: Store reusable IaC and scripts - Search: Find anything instantly across all content - Dark mode for comfortable night learning PERFECT FOR: - Aspiring Cloud Engineers & Architects - Students preparing for AWS/Azure/GCP certifications - Developers transitioning to cloud roles - DevOps & SRE professionals expanding skills Start your Cloud computing journey today !

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    販売元
    • Shahbaz Khan
    サイズ
    • 166.3 MB
    カテゴリ
    • 教育
    互換性
    iOS 17以降が必要です。
    • iPhone
      iOS 17以降が必要です。
    • iPad
      iPadOS 17以降が必要です。
    • Mac
      macOS 14.0以降とApple M1以降のチップを搭載したMacが必要です。
    • Apple Vision
      visionOS 1.0以降が必要です。
    言語
    • 英語
    年齢制限
    9+
    著作権
    • © Shahbaz Khan