Master Certificate in Cloud Computing
Architect the Cloud. Accelerate Digital Transformation.
Develop expertise in AWS, Google Cloud Platform, cloud infrastructure, networking, Linux administration, cloud security, automation, migration, and enterprise cloud architecture through hands-on projects and real-world deployments.
Course Overview
The Master Certificate in Cloud Computing (AWS & Google Cloud) is a comprehensive industry-focused program designed to build expertise in networking, Linux administration, virtualization, cloud computing, Amazon Web Services (AWS), Google Cloud Platform (GCP), cloud security, automation, and AI-driven cloud operations.
The curriculum follows a structured learning pathway, beginning with computer networking, TCP/IP, Linux administration, and virtualization before progressing to cloud architecture, AWS infrastructure, storage, networking, databases, identity management, cloud monitoring, migration, and multi-cloud security. The program also introduces Artificial Intelligence in Cloud Computing.
Through hands-on labs, AI-assisted exercises, enterprise deployment scenarios, and capstone projects, learners will develop the practical skills required to architect, deploy, secure, automate, monitor, and manage modern cloud infrastructure for enterprise environments.
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Practice Guide
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Capstone Projects
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Why This Course
Build complete cloud expertise from networking fundamentals to enterprise architecture
Learn Amazon Web Services and Google Cloud Platform used by global enterprises
Develop strong Linux administration, networking, and virtualization skills
Gain hands-on experience with EC2, VPC, IAM, EBS, EFS, S3, RDS, Lambda, and CloudWatch
Implement cloud security, identity management, compliance, and governance best practices
Master Infrastructure as Code, cloud automation, and migration techniques
Understand AI-powered cloud operations, resource optimization, and predictive management
Gain practical experience through enterprise deployment projects and case studies
Build industry-ready skills aligned with cloud engineering and DevOps practices
SkillCert Advantage
Build Projects
Hands-on capstone projects
Faster Learning
AI-accelerated curriculum
AI Assisted
SkillPilot-guided practice
Industry Ready
Job-role aligned skills
Key Topics Covered
Structured across 10 courses and capstone projects for complete mastery.
Course 1: Computer Fundamentals & Networking Foundations
- Computer Architecture and Components
- Functions and Applications of Computers
- Networking Fundamentals
- OSI Reference Model
- TCP/IP Protocol Suite
- Network Communication Models
- Internet Architecture
- Network Protocols
- AI-Assisted Networking Concepts
- Practical Networking Projects
Course 2: Networking Concepts & Linux Administration
- DNS Fundamentals
- IP Addressing (IPv4 & IPv6)
- Ports and Protocols
- LAN, WAN and Internet Connectivity
- Routers and Switches
- Linux Operating System Fundamentals
- Linux File Systems
- Linux Boot Process
- File Permissions & Ownership
- User Administration and Storage Management
Course 3: Linux Administration & Virtualization
- Linux Command-Line Administration
- User & Group Management
- Directory and File Management
- Disk & Partition Management
- Hypervisors
- Virtual Machines
- Server Virtualization
- Desktop Virtualization
- Network Virtualization
- Data Centre Virtualization
Course 4: Cloud Computing Fundamentals
- Introduction to Cloud Computing
- Public, Private, Hybrid & Community Cloud
- Cloud Service Models (IaaS, PaaS & SaaS)
- Cloud Deployment Models
- Vertical & Horizontal Scaling
- Cloud Cost Models
- Cloud Security Concepts
- Cloud Adoption Strategies
- Cloud Business Benefits
- Cloud Architecture Fundamentals
Course 5: AWS Global Infrastructure & Compute Services
- AWS Global Infrastructure
- AWS Regions & Availability Zones
- Amazon EC2
- Amazon Machine Images (AMI)
- EC2 Instance Configuration
- Elastic IP Addressing
- Security Groups
- Elastic Network Interfaces
- AWS Pricing Models
- AWS Marketplace
Course 6: AWS Storage & Networking Services
- Amazon Elastic Block Store (EBS)
- EBS Volume Types
- Snapshot Management
- Amazon EFS
- Amazon S3
- S3 Buckets & Objects
- Storage Security & Encryption
- Virtual Private Cloud (VPC)
- Public & Private Subnets
- Network ACLs & Security Groups
Course 7: Cloud Networking, VPN & High Availability
- Virtual Private Network (VPN)
- AWS Direct Connect
- Elastic Load Balancer (ELB)
- Network Load Balancer
- DNS Configuration
- Auto Scaling Groups
- Launch Templates
- High Availability Architecture
- Disaster Recovery Planning
- Business Continuity
Course 8: AWS Database, Application & Monitoring Services
- Amazon RDS
- Database Engines
- IAM Features
- Amazon CloudFront
- Amazon SNS
- Amazon SQS
- AWS Lambda
- AWS CloudWatch
- AWS CloudTrail
- AWS CloudFormation
- AWS Trusted Advisor
- AWS Snowball Migration Service
Course 9: Google Cloud Platform Security
- Google Cloud Platform Overview
- Google Cloud IAM
- IAM Roles & Permissions
- Google Cloud Endpoint Security
- Google Cloud Storage Security
- Google Cloud Network Security
- Data Classification & Lineage
- Google Cloud Monitoring
- Security Command Center (SCC)
- Multi-Cloud Security Best Practices
Course 10: AI in Cloud Computing
- AI-Driven Resource Management
- Intelligent Infrastructure Automation
- Predictive Maintenance
- AI-Based Cloud Security
- Intelligent Threat Detection
- Cloud Data Analytics & Insights
- Cost Optimization using AI
- AI-as-a-Service (AIaaS)
- Personalized Cloud Experiences
- Future of AI-Powered Cloud Operations
Capstone Projects
- Enterprise AWS Infrastructure Deployment: Design and deploy secure, highly available AWS infrastructure using EC2, IAM, VPC, EBS, EFS, S3, load balancers, Auto Scaling, and CloudWatch.
- Cloud-Native Web Application Deployment: Develop and deploy a scalable cloud-native application integrating compute, storage, databases, networking, monitoring, and security services on AWS.
- Cloud Migration & Infrastructure Automation: Migrate an on-premises application to AWS using CloudFormation, Snowball, automation tools, monitoring services, and migration best practices.
- Multi-Cloud Security & Operations: Design and secure enterprise workloads across AWS and Google Cloud using IAM, endpoint security, monitoring, logging, governance, and compliance controls.
- AI-Powered Cloud Operations Project: Implement AI-based resource optimization, intelligent monitoring, predictive maintenance, automated security monitoring, and cost optimization strategies.
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