Lesson 1:Course Introduction
1.1 Course Introduction
Lesson 2:Basics of Cloud Computing
2.1 Introduction
2.2 History of Cloud Computing
2.3 Definition of Cloud Computing
2.4 Characteristics of Cloud Computing
2.5 Risks of Cloud Computing
2.6 Types of Cloud Computing
2.7 Public Cloud
2.8 Private Cloud
2.9 Hybrid Cloud
2.10 Types of Cloud Services
2.11 Iaas
2.12 Paas
2.13 Saas
2.14 Cloud Computing in Action
2.15 Key Takeaways
2.16 Knowledge Check
Lesson 3:Adopting Cloud
3.1 Introduction
3.2 Cloud Migration
3.3 Benefits of Cloud Migration
3.4 Challenges of Cloud Migration
3.5 Cloud Migration Strategy
3.6 Five Rs of Cloud Migration Strategy
3.7 Cloud Migration Plan
3.8 Four Step Plan for Cloud Migration
3.9 Business Continuity Through Cloud
3.10 High Availability and Disaster Recovery
3.11 Data Backup and Resiliency
3.12 Business Case Studies Netflix
3.13 Business Case Studies ThreeM
3.14 Business Case Studies Adobe
3.15 Business Case Studies HSBC
3.16 Key Takeaways
3.17 Knowledge Check
Lesson 4:Public Cloud Services and Pricing
4.1 Introduction
4.2 How Do Cloud Providers Offer Competitive Rates
4.3 Capital Expenditure(CapEx)
4.4 Operational Expenditure(OpEx)
4.5 Benefits of OpEx over CapEx
4.6 Cloud Services
4.7 Cloud Providers
4.8 Cloud Migration Factors to Consider
4.9 Key Takeaways
4.10 Knowledge Check
Lesson 5:Security and Privacy in Cloud
5.1 Introduction
5.2 Cloud Security
5.3 Cloud Security Considerations
5.4 Networking Options and Best Practices
5.5 Cloud Security Compliance and Vulnerablity
5.6 Compliance
5.7 Compliance Using GDPR and FedRAMP
5.8 Compliance Using HIPA and HITRUST
5.9 Privacy Use Case
5.10 Key Takeaways
5.11 Knowledge Check
Lesson 6:Future of the Cloud Ecosystem
6.1 Introduction
6.2 Cloud Computing Present and Future
6.3 Cloud Computing Beyond
6.4 Big Data on Cloud
6.5 DevOps on Cloud
6.6 IoT on Cloud
6.7 Saas
6.8 Key Takeaways
6.9 Knowledge Check
Lesson 7:Building a Bussiness Case for Cloud
7.1 Introduction
7.2 Financial Implications of Using the Cloud
7.3 Airbnb Business Use Case
7.4 Business Continuity
7.5 Key Takeaways
7.6 Knowledge Check
Join our Cloud Computing course: beginner to expert. Master AWS, Azure, Google Cloud. Get certified & unlock career opportunities.
The course has no specific prerequisites.
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Cloud computing delivers on-demand IT resources (servers, storage, databases) over the internet via a pay-as-you-go model. It eliminates physical infrastructure costs, offering scalability, flexibility, and global accessibility. Key service models include IaaS (infrastructure, e.g., AWS EC2), PaaS (platforms for app development, e.g., Azure App Service), and SaaS (software, e.g., Google Workspace). Deployment options span public, private, and hybrid clouds. Cloud computing underpins modern tech like AI, big data, and IoT, enabling businesses to innovate faster while optimizing costs and operational efficiency.
This training equips professionals with cross-platform cloud expertise, covering AWS, Azure, and Google Cloud's core services, architecture, and use cases. Learners master infrastructure design, cost management, and security across hybrid/multi-cloud environments. By combining vendor-specific tools (e.g., BigQuery, Azure AI) with universal principles (scalability, DevOps), the program prepares participants to deploy innovative solutions, optimize IT operations, and lead digital transformation initiatives in diverse industries.
AWS (Amazon Web Services) dominates the cloud market with 200+ services. Core offerings include EC2 (virtual servers), S3 (scalable storage), and Lambda (serverless computing). AWS emphasizes global reach via 30+ geographic regions and services like RDS (managed databases) and CloudFormation (infrastructure-as-code). Key concepts: shared responsibility model (security), VPC (network isolation), and cost management tools (Cost Explorer). AWS certifications validate expertise in architecting, deploying, and managing scalable, secure cloud solutions.
Microsoft Azure integrates seamlessly with Windows ecosystems (Active Directory, Office 365). Core services include Azure Virtual Machines, Blob Storage, and Azure Kubernetes Service (AKS). Unique features: Azure Arc (hybrid cloud management) and Azure AI (prebuilt ML models). Azure emphasizes enterprise compliance (GDPR, HIPAA) and hybrid cloud flexibility. Key tools: ARM templates for IaC and Azure Monitor for observability. Azure certifications focus on solutions architecture, DevOps, and data engineering, ideal for organizations leveraging Microsoft technologies.
Google Cloud (GCP) excels in data analytics and AI/ML with services like BigQuery (serverless data warehousing) and Vertex AI (ML model development). Core infrastructure includes Compute Engine and Cloud Storage. GCP's global fiber network ensures low-latency performance, while Anthos enables multi-cloud management. Sustainability is a focus, with carbon-neutral data centers. Certifications cover cloud engineering, data analytics, and ML, appealing to developers prioritizing open-source tools (TensorFlow, Kubernetes) and cutting-edge innovations.
Cloud architects design scalable, secure solutions using best practices like multi-AZ deployments (high availability) and auto-scaling. Hosting strategies include serverless (AWS Lambda), containers (Kubernetes), and VM clusters. Key skills: cost optimization (reserved instances), IaC (Terraform), and security (IAM, encryption). Proficiency in multi-cloud tools (e.g., AWS Outposts, Azure Arc) is critical. Certifications like AWS Solutions Architect or Google Cloud Architect validate expertise in building resilient, cost-effective infrastructures aligned with business goals.