• Introduction to Cloud Computing: Fundamentals of cloud computing, deployment and service models (IaaS, PaaS, SaaS), cloud adoption advantages.
• Architectural Design Principles: Core concepts like high availability, scalability, elasticity, performance, security, and cost optimization.
• Networking: Designing network topologies, virtual networks (VPC), network segmentation, load balancing, DNS, firewalls, network security groups, and connectivity options like VPN and direct connections.
• Compute Services: Virtual machines (VMs), containers, container orchestration (like Kubernetes), serverless computing, and choosing the right compute options for different workloads.
• Storage Services: Different storage types (object, block, file, databases), data redundancy, storage tiers, data encryption, backup and restoration strategies, and selecting appropriate storage solutions.
• Database Services: Relational and NoSQL databases, caching strategies, data warehousing, data lakes, and choosing the right database for application requirements.
• Security and Compliance: Identity and Access Management (IAM), data security (encryption, data loss prevention), application security, network security, and adhering to compliance regulations like GDPR and HIPAA.
• Monitoring and Logging: Monitoring tools, logging services, analytics, and setting up alerts and notifications for various metrics.
• DevOps and Automation: Infrastructure as Code (IaC), Continuous Integration/Continuous Delivery (CI/CD), configuration management, and automation of deployment processes.
• Migration Strategies: Different cloud migration approaches (lift and shift, re-platforming, refactoring), assessing application readiness, planning the migration process, and overcoming migration challenges. 

Additional topics covered

• Enterprise Architecture Frameworks: Concepts like TOGAF and the Zachman Framework for structuring and governing enterprise architecture.
• Microservices Architecture: Designing applications with loosely coupled services, considering patterns like API Gateway, Service Discovery, and Event Sourcing.
• Domain-Driven Design (DDD): Understanding and modeling the core domain of a business problem, particularly relevant when designing microservices.
• Disaster Recovery (DR): Designing and implementing DR plans, setting recovery time objectives (RTOs) and recovery point objectives (RPOs), and understanding different DR patterns like pilot light, warm standby, and hot standby.
• Cloud Cost Optimization: Strategies for reducing cloud spending, including rightsizing resources, utilizing reserved and spot instances, monitoring costs, and leveraging automation for cost control.