Multi-Cloud with DevOps & GenAI
- Intermediate
- 8 modules
- 31 lessons
- Live classes: Mon, Wed, Fri · 7:00–9:00 PM IST
- Certificate on completion
Course overview
Design, deploy and automate production workloads across AWS, Microsoft Azure and Google Cloud, then add Generative AI on top. Live instructor-led classes, hands-on labs on real cloud accounts, and a capstone project you can show employers.
What you will learn
- Design secure landing zones and identity across AWS, Azure and Google Cloud
- Build VPC/VNet networks: subnetting, routing, NAT and private connectivity
- Containerise apps and run them on Kubernetes (EKS, AKS, GKE)
- Provision everything with Terraform and ship it with CI/CD and GitOps
- Build GenAI features with Amazon Bedrock, Azure OpenAI and Vertex AI
- Deliver a portfolio-ready multi-cloud capstone project
Curriculum
General2 lessons
Welcome & how this programme worksPage
Announcements & Q&AForum
Module 1: Multi-Cloud Foundations5 lessons
Why multi-cloud? Strategy and trade-offsPage
Landing zones and the shared responsibility modelPage
Identity across AWS, Azure and Google CloudPage
Video: What is cloud computing?Recording
Module 1 quiz: FoundationsQuiz
Module 2: AWS Networking & Compute5 lessons
VPC design and subnettingPage
Routing, Internet Gateway and NAT GatewayPage
EC2, Auto Scaling and S3Page
Video: AWS in 100 secondsRecording
Module 2 quiz: AWS networkingQuiz
Module 3: Microsoft Azure & Google Cloud3 lessons
Azure: VNets, Entra ID and AKSPage
Google Cloud: GKE, Cloud Run and BigQueryPage
Module 3 quiz: Azure & Google CloudQuiz
Module 4: Containers & Kubernetes6 lessons
Docker essentialsPage
Kubernetes objects: Pods, Deployments and ServicesPage
Helm and multi-cluster operationsPage
Lab: Deploy a containerised app to KubernetesAssignment
Video: Docker in 100 secondsRecording
Video: Kubernetes explainedRecording
Module 5: Terraform, CI/CD & GitOps5 lessons
Terraform for multi-cloudPage
CI/CD with GitHub ActionsPage
GitOps with Argo CDPage
Video: Terraform in 100 secondsRecording
Video: CI/CD explainedRecording
Module 6: Generative AI on the Cloud3 lessons
GenAI services: Amazon Bedrock, Azure OpenAI and Vertex AIPage
RAG architecture and responsible AIPage
Video: Large language models explainedRecording
Capstone & Final Assessment2 lessons
Capstone: Multi-cloud GenAI application with CI/CDAssignment
Final assessmentQuiz
Prerequisites
- Basic Linux command line
- Networking fundamentals (IP addresses, DNS, HTTP)
- Any programming or scripting language (Python preferred)
Your trainers
- Demo TrainerTeacher