Learn Cloud Computing - AWS
教育
$60.00 · 專為 iPad 設計
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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開發者Shahbaz Khan指出App的隱私權實務可能包含下方描述的資料處理。如需更多資訊，請參閱 開發者的隱私權政策 。
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資訊
- 供應商
- Shahbaz Khan
- 大小
- 166.3 MB
- 類別
- 教育
- 相容性
需要 iOS 17 或以上版本。
- iPhone
需要 iOS 17 或以上版本。 - iPad
需要 iPadOS 17 或以上版本。 - Mac
需要 macOS 14.0（或以上版本）以及配備 Apple M1（或以上版本）晶片的 Mac。 - Apple Vision
需要 visionOS 1.0 或以上版本。
- iPhone
- 語言
- 英文
- 年齡分級
9+
- 9+
- 版權
- © Shahbaz Khan
