Cloud Architect Course Syllabus

Overview: This Cloud Architect Master’s Program is a comprehensive, beginner-friendly course designed to transform learners into job-ready cloud professionals through 200+ hours of hands-on learning. The curriculum blends foundational scripting, multi-cloud architecture, DevOps, and real-world capstone projects. With a mix of instructor-led live sessions and self-paced modules, it covers 11 in-depth courses aligned to senior cloud roles. Due to the extensive time commitment, learners are advised to plan accordingly, especially when balancing full-time work.

Module 1: Python Scripting Certification Training

Estimated time: 15 hours

• Python syntax and data types
• Control flow and functions
• Object-oriented programming for automation
• Scripting for log processing and cloud API interaction

Module 2: Fundamentals of Cloud Computing

Estimated time: 10 hours

• Cloud service models: IaaS, PaaS, SaaS
• Virtualization and multitenancy concepts
• Clustering and resource pooling
• Provisioning instances on AWS, Azure, and GCP free tiers

Module 3: AWS Solutions Architect – Associate

Estimated time: 30 hours

• VPC design and secure networking
• EC2, S3, RDS, and IAM services
• Autoscaling and high availability
• AWS Well-Architected Framework principles

Module 4: Migrating Applications to AWS

Estimated time: 18 hours

• Lift-and-shift migration strategies
• Using AWS DMS and Server Migration Service
• Database replication and migration validation
• Hands-on application migration exercise

Module 5: DevOps Certification Training with Gen AI

Estimated time: 20 hours

• CI/CD pipeline design with Jenkins
• Containerization using Docker
• Orchestration with Kubernetes
• AI-driven test automation and GitOps with Argo CD

Module 6: AWS Certified DevOps Engineer – Professional

Estimated time: 25 hours

• Advanced deployment strategies and blue/green deployments
• Monitoring with CloudWatch and centralized logging
• Disaster recovery and automated rollbacks
• Building alerting systems and fault-tolerant pipelines

Module 7: Capstone Project

Estimated time: 102 hours

• Design and implement a multi-cloud architecture
• Migrate and modernize an on-premises application
• Integrate CI/CD pipeline with DevOps tools
• Present end-to-end solution with security and scalability

Prerequisites

• Basic understanding of computer networks and operating systems
• Familiarity with command-line interface and Linux fundamentals
• No prior cloud experience required

What You'll Be Able to Do After

• Automate cloud infrastructure tasks using Python scripting
• Design secure and scalable multi-cloud solutions
• Implement CI/CD pipelines with Jenkins, Docker, and Kubernetes
• Lead cloud migration and modernization projects
• Earn industry-recognized certifications and qualify for senior cloud roles