Cloud + DevOps (GenAI & AgenAI)
For working professionals: cloud architecture on OCI and Azure, Terraform automation, DevOps pipelines and Generative AI in one program.
About this program
Why this career pays off
Built for professionals who want to re-engineer their careers rather than start over. Four connected modules take you from designing secure, scalable and cost-effective cloud architectures on OCI and Azure, through Terraform infrastructure automation and DevOps pipelines, to applying Generative and Agentic AI to real cloud operations: monitoring, incident management, documentation and cost analysis with GitHub Copilot and OCI AI agents. Every module ends in a hands-on build, so you leave with deployable work, not slides.
What you'll learn, module by module
A complete, no-surprises view of the curriculum. Click any module to expand.
01 Cloud Architecture
- Cloud computing and service models: IaaS, PaaS, SaaS
- OCI and Azure architecture in detail
- Designing scalable, secure and cost-effective enterprise solutions
- Networking deep dive: VCNs, subnets, gateways, load balancers, VPNs
- Compute and storage: performance, cost optimisation and security
- Hands-on: design and deploy a multi-tier application on OCI and Azure
02 Infrastructure Automation
- Infrastructure as Code with Terraform and its enterprise benefits
- Terraform essentials: providers, modules, state and workspaces
- Reusable, modular Terraform for real-world deployments
- Version control and CI/CD integration with Terraform
- Multi-cloud infrastructure across OCI and Azure
- Hands-on: automate cloud networking and compute with Terraform
03 DevOps Implementation
- DevOps principles and culture in modern IT organisations
- Cloud infrastructure builds through Terraform and CI/CD pipelines
- Monitoring strategies with cloud-native tools
- Logging and alerting for proactive cloud operations
- Hands-on: an automated deployment pipeline with Terraform and a cloud-native pipeline
04 Generative AI and Agentic AI Use Cases
- Generative AI and its enterprise applications
- AI-driven automation for cloud operations, monitoring and incident management
- AI-powered chatbots for cloud resource management
- Documentation automation, log analysis and workflow optimisation
- GitHub Actions pipelines for Terraform deployments built with AI
- Cloud cost analysis and OCI troubleshooting with GitHub Copilot
- Automation scripts for day-to-day OCI operations; effective prompting
- Re-provisioning cloud resources with Copilot Chat and AI agents
- Turning a CLI-based OCI Generative AI agent into a Flask web application
- Agentic AI services within OCI
Who this program is for
- Working IT professionals re-engineering their career towards cloud and AI
- System administrators, DBAs and support engineers moving into cloud architecture
- Developers who want DevOps and infrastructure-automation skills
- Cloud engineers adding Terraform, CI/CD and Generative AI to their profile
Roles you can target after
- Cloud Architect (OCI / Azure)
- DevOps Engineer
- Cloud Automation Specialist
- AI-enabled Cloud Consultant
- Platform / Infrastructure Engineer
Tools & technologies covered
OCI Azure Terraform Git GitHub Actions GitHub Copilot CI/CD pipelines cloud-native monitoring and logging OCI Generative AI Agentic AI services on OCI Python/Flask Linux
Common questions
SHA Cloud Career Path ?
Foundation ->Cloud Administration ->Cloud Support / Junior Cloud Engineer ->Cloud Engineer ->Senior Cloud Engineer->Cloud / Solutions Architect
Database Architect path?
Database Foundation:→ Junior DBA / Database Support→ DBA→ Senior DBA / Database Engineer→ Database Architect
Can I directly work as Database Architect?
No, not at all. Below is the path you have to follow:
Database Foundation:→ Junior DBA / Database Support→ DBA→ Senior DBA / Database Engineer→ Database Architect
Can I joined directly as Cloud Architect?
No, Not at all.
Foundation ->Cloud Administration ->Cloud Support / Junior Cloud Engineer ->Cloud Engineer ->Senior Cloud Engineer->Cloud / Solutions Architect
Don't Know Which IT Career Is Right for You?
You don't need to choose a technology before understanding the career. Your IT Career Map:
Graduate->Understand your background & strengths->Choose a direction->If you enjoy...Infrastructure, systems, servers, then a possible path is Cloud / Infrastructure-> If you enjoy...Databases, data, backend systems, then a possible path is Database / Cloud DBA. If you enjoy...Programming + mathematics + analytics, then a possible path is Data / AI. If you enjoy...Automation + infrastructure, then a possible path is DevOps / Cloud Engineering. If you enjoy...Security & systems, then a possible path is Cloud Security / Cybersecurity. If you enjoy...Multiple cloud platforms, then a possible path is Multi-Cloud / Gen & Agentic AI and on ......Final steps once you decide: Foundation → Specialisation → Projects → Interview Preparation → Job Search _> Got placement. So you need one mentor for this guidance who himself works in the IT Industry that to minimum of 10- 12 years.