This course is designed to provide comprehensive expertise in cloud solutions architecture and DevOps practices. Participants will master the tools, technologies, and strategies needed to build, optimize, and secure cloud-based systems and applications. The curriculum emphasizes major cloud platforms like AWS and Azure, along with DevOps tools such as Jenkins, Docker, Kubernetes, and Terraform. Topics include CI/CD pipeline implementation, performance optimization, cloud-native strategies, and security measures.

By the end of the course, learners will have practical skills to manage and optimize cloud environments effectively, equipping them for roles such as Cloud Solutions Architect or DevOps Engineer.

• Fundamental knowledge of core software development principles.
• Basic understanding or proficiency with command-line tools and Linux operating system environments.

• Fundamental concepts of cloud computing.
• Proficiency in Microsoft Azure and AWS.
• Containers, microservices, DevOps, and cloud design patterns.
• Cloud financial, adoption, and migration strategies.
• Making effective trade-off decisions for cloud solutions.
• Hands-on experience using cloud platforms to meet business needs.

• Aspiring Cloud Solutions Architects
• DevOps Engineers
• Current Cloud Architects
• Professionals with some cloud experience
• Senior IT professionals
• DevOps practitioners
• System administrators
• IT managers
• Software developers aiming to expand their skillsets

Week 1: Cloud Foundations & Linux Basics

• Intro to cloud computing: history, key concepts, and service models (IaaS, PaaS, SaaS)
• Overview of major providers: AWS, Azure, Google Cloud
• Linux essentials: file system, users, permissions, and basic commands
• Accessing Linux servers via SSH, terminal commands, and package management
• Lab: Navigate a cloud console and execute basic Linux commands

Week 2: Cloud Infrastructure, Compute & Storage

• AWS compute services: EC2, Auto Scaling, Load Balancers, and Lambda
• Azure compute: Virtual Machines and introductory Azure Functions
• Storage options: AWS S3, EBS, EFS, and Azure Blob Storage
• Focus on deploying and managing virtual resources across platforms
• Lab: Deploy and manage VMs and storage on AWS and Azure

Week 3: Cloud Networking, Security & Identity

• Core networking: AWS VPC and Azure Virtual Network fundamentals
• Key components: subnets, route tables, gateways, and firewalls
• Advanced options: AWS Outposts, CloudFront, and Points of Presence (POP)
• Security fundamentals: Shared Responsibility Model, IAM with MFA, AWS KMS, and Azure Key Vault
• Lab: Configure networking components and set up IAM policies

Week 4: Cloud Pricing, Monitoring & Advanced Services

• Cloud pricing models: AWS Free Tier, Azure Cost Management, budgeting, and cost optimization
• Monitoring tools: AWS CloudWatch and Azure Monitor for performance tracking
• Advanced services: managed databases (RDS, DynamoDB, Azure SQL) and serverless architectures
• Database migration insights: AWS Database Migration Service and migration strategies; overview of global infrastructure
• Lab: Create monitoring dashboards and explore migration tools

Week 5: DevOps Fundamentals, CI/CD & IaC

• Overview of DevOps culture, principles, and the SDLC
• Version control basics using Git and GitHub
• Introduction to CI/CD concepts for automated delivery
• Basics of Infrastructure as Code with Terraform, AWS CloudFormation, and ARM
• Lab: Set up a basic CI/CD pipeline and deploy an IaC script

Week 6: Advanced CI/CD, Testing & Automation

• Deep dive into CI/CD tools: Jenkins, GitHub Actions, and Azure DevOps
• Automation of build, test, and deployment pipelines
• Integration of security and testing practices
• Focus on continuous integration and reliable software releases
• Lab: Implement and test a complete CI/CD pipeline

Week 7: Containerization & Orchestration

• Introduction to Docker for building and managing container images
• Fundamentals of Kubernetes: pods, nodes, and clusters
• Managed Kubernetes services: AWS EKS and Azure AKS
• Emphasis on scalable, container-based deployments
• Lab: Containerize an application and deploy it on a Kubernetes cluster

Week 8: Advanced DevOps, Security, Monitoring & Final Project

• Introduction to configuration management with Ansible
• Advanced cloud security best practices and compliance standards
• Monitoring and logging with Prometheus, Grafana, AWS CloudWatch, and Azure Monitor
• Integration of CI/CD, IaC, containerization, security, and monitoring into a unified project
• Lab/Project: Design and deploy a cloud-native application integrating all course components