🚀
Smarter CI/CD
Use AI to generate pipeline scaffolding, validate configs, explain failures, and improve delivery speed.
✨ 8 Weeks • Live Training • Labs • CI/CD + AI Automation • Capstone
Transform DevOps with Generative AI for smarter delivery, faster operations, and intelligent automation.
This JSG program is designed for DevOps engineers, cloud engineers, SRE professionals, automation specialists, developers, and architects who want to integrate Gen AI into CI/CD, IaC, observability, release engineering, incident response, documentation, and platform operations.
AI for Delivery Pipelines
Use Gen AI for YAML generation, pipeline suggestions, deployment summaries, and release support.
AI for Operations
Improve alert triage, log analysis, incident summaries, RCA support, and runbook generation.
Enterprise Ready
Cover governance, security, approval flows, cost control, and responsible AI in platform engineering.
DevOps + Gen AI Dashboard
From manual operations to intelligent automation and assisted engineering
Capstone + Real Projects
8
Weeks of structured learning and applied labs
5+
Major DevOps workflows enhanced with AI
3
Key themes: delivery, operations, governance
1
Production-style capstone solution with demo
⚙️ Pipeline Intelligence
Generate, validate, and explain DevOps pipeline steps using Gen AI.
🚨 Incident Copilot
Summarise logs, suggest root causes, and recommend recovery steps.
Why this DevOps with Gen AI program matters
Modern DevOps is no longer only about automation scripts and pipelines. Teams now need AI-powered assistants that support deployment design, operational visibility, documentation, troubleshooting, and release confidence.
📜
Infrastructure as Code Support
Accelerate Terraform, ARM, Bicep, Kubernetes, and YAML authoring with intelligent suggestions and checks.
🔎
Operations Intelligence
Summarise incidents, correlate logs, assist root-cause analysis, and improve SRE response quality.
🛡️
Governed Adoption
Learn safe, secure, and auditable AI practices for enterprise DevOps and platform engineering teams.
Live
Instructor-led learning with demonstrations and hands-on activities.
Labs
Workflow-based labs around pipelines, ops support, and automation.
Review
Architecture review and use-case-based thinking built into the course.
Capstone
End with a deployable AI-enabled DevOps solution demo.
8-week syllabus design
The syllabus moves from DevOps and Gen AI fundamentals to AI-assisted delivery, operations support, platform workflows, governance, and production implementation.
Foundations of DevOps and Generative AI
Build the base by understanding where DevOps and Gen AI intersect in modern engineering teams.
- DevOps lifecycle recap and engineering pain points
- Gen AI basics for technical workflows
- Prompting for DevOps tasks
- Use cases: pipeline help, log analysis, docs, runbooks
AI for CI/CD Pipelines
Use Gen AI to accelerate pipeline creation, review, debugging, and optimization.
- GitHub Actions, Azure DevOps, Jenkins pipeline support
- YAML and pipeline step generation
- Build and deploy error summarization
- Lab: AI-assisted CI/CD starter pipeline
Infrastructure as Code with AI Assistance
Improve productivity while creating and validating infrastructure definitions.
- Terraform, Bicep, ARM, Dockerfile, and Kubernetes support
- Configuration explanation and policy checks
- AI-assisted IaC refactoring and documentation
- Lab: generate and refine a deployment environment
AI for Monitoring, Logs, and Incident Response
Learn how Gen AI can help interpret telemetry and support operational teams.
- Alert summarization and anomaly explanation
- Log analysis and issue clustering
- RCA support and incident timeline narration
- Lab: incident copilot for operations teams
Runbooks, Documentation, and Knowledge Automation
Reduce manual effort by generating and maintaining operational knowledge intelligently.
- Runbook generation and update support
- Release notes and deployment summaries
- Knowledge base Q&A for support teams
- Lab: AI-runbook assistant with contextual answers
ChatOps, Platform Engineering, and Self-Service AI
Bring AI closer to engineering teams through internal platforms and conversational workflows.
- ChatOps for internal engineering actions
- Self-service platform requests with AI guidance
- Golden paths and platform documentation assistants
- Lab: internal engineering support bot
Security, Governance, and Responsible AI in DevOps
Adopt AI safely in enterprise delivery environments with governance and trust.
- Secrets, compliance, approvals, and policy alignment
- Safe prompting and access boundaries
- Audit trails and operational accountability
- Human-in-the-loop review patterns
Capstone, Deployment, and Enterprise Readiness
Build a final AI-enabled DevOps solution and present the business and technical value clearly.
- Design an AI use case for DevOps or SRE
- Implement workflow, prompt flow, and integration
- Measure impact, risk, and adoption value
- Final project demo and presentation sequence
Interview and Industry Positioning
Turn your learning into job-ready talking points and portfolio assets.
- Scenario-based DevOps + Gen AI interview questions
- Architecture explanation practice
- Resume and project bullet preparation
- Presentation flow for corporate or client demos
Tools and platforms covered
The course uses a practical mix of DevOps platforms, cloud tooling, AI services, and observability options.
⚙️
DevOps Platforms
- Azure DevOps
- GitHub Actions
- Jenkins
- Git workflows
☁️
Cloud & Infra Stack
- Azure
- AWS concepts
- Docker
- Kubernetes
🤖
Gen AI Platforms
- OpenAI
- Azure OpenAI
- Copilot style assistants
- Prompt engineering tools
📦
IaC & Config
- Terraform
- Bicep / ARM
- Helm and YAML
- Dockerfile support
📡
Observability Stack
- Logs and metrics concepts
- Incident dashboards
- Alert summarization
- Tracing and operations insights
🧾
Knowledge & Automation
- Runbooks
- Knowledge bases
- Release summaries
- Engineering assistants
Assignments, milestones, and capstone
Learners progressively build toward a DevOps + Gen AI solution instead of isolated one-off exercises.
🧪
Weekly Labs
- AI-assisted pipeline generation
- IaC explanation and review workflow
- Log summarization and incident analysis
- Knowledge assistant for DevOps teams
🏁
Capstone Project
- Select a DevOps or SRE pain point
- Design the AI-enhanced workflow
- Implement prompts, tools, and outputs
- Present value, impact, and governance plan
💼
Career Readiness
- Interview preparation for DevOps + AI roles
- Scenario discussion practice
- Portfolio positioning support
- Resume bullets and capstone explanation
Week 2Pipeline Build
Create and refine a CI/CD workflow with AI-assisted steps, validation, and explanation output.
Week 4Ops Checkpoint
Show how your AI workflow can summarise an incident and help engineers identify likely causes faster.
Week 6Platform Flow
Build a support or self-service assistant that helps internal teams with DevOps and platform tasks.
Week 8Final Demo
Present the full capstone with architecture, workflow, controls, benefits, and future enhancements.
Program outcomes
By the end of the program, learners should be able to design and apply Gen AI in realistic DevOps workflows with confidence.
Enhance CI/CD with AI
Use Gen AI to accelerate pipeline authoring, improve readability, and support troubleshooting and delivery insights.
Improve IaC productivity
Generate, explain, and refine infrastructure definitions with safer and faster iteration cycles.
Support incident response
Use AI to summarize alerts, analyse logs, and provide structured support during incident handling.
Automate knowledge tasks
Create assistants for runbooks, documentation, platform guidance, and release communication.
Adopt AI responsibly
Apply security, governance, approval, and policy checks in enterprise DevOps environments.
Deliver business-ready demos
Present a complete AI-enabled DevOps solution with architecture, benefits, and implementation flow.
Ready to launch a DevOps with Gen AI page for JSG?
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