Agentic AI for DevOps Syllabus
Eight hands-on modules that take you from agentic foundations and LLMs to shipping and hardening autonomous ops agents, ending in a capstone platform.
01Module 1: Agentic Foundations
- Autonomy, tool use, memory and planning
- LLM capabilities and limits in DevOps contexts
- Agent architectures: ReAct, Plan-and-Execute, multi-agent
- The DevOps and AI feedback loop, from toil to autonomous ops
- Landscape: Copilot, Claude Code, GitHub Models, open-source agents
- LangChain and LangGraph
02Module 2: Connecting Agents to Infrastructure
- Prompt patterns: chain-of-thought, structured output, tool calls
- Model selection for latency vs capability in production
- Context-window management for logs, runbooks and traces
- Function and tool calling: AWS CLI, kubectl, Terraform, PagerDuty
- Streaming, async patterns and cost budgeting in agentic loops
03Module 3: AI Inside Your Pipelines
- AI-assisted code review in PR workflows with GitHub Actions
- Automated test generation and coverage-gap analysis
- Intelligent build-failure triage and root-cause explanation
- Deployment risk scoring and intelligent rollback triggers
- Claude Code and Copilot inside CI, benefits and blast radius
04Module 4: From Signals to Summaries
- RAG over logs: embedding and querying Datadog, Loki, Splunk
- Anomaly detection: where LLMs add value vs classical methods
- Incident summarization, timeline reconstruction and RCA drafting
- On-call copilot: runbook retrieval, alert correlation, escalation
- Multi-signal agents correlating metrics, traces, logs and deploys
05Module 5: Generate, Review & Reconcile IaC
- Terraform and Pulumi generation, review and refactoring via LLMs
- Drift detection and agentic reconciliation loops
- Policy-as-code generation: Rego, Sentinel, Open Policy Agent
- Natural language to IaC translation and failure modes
- Human-in-the-loop gates for destructive changes
06Module 6: Harden Your Agents
- Threat modeling: prompt injection, privilege escalation, exfiltration
- Minimal-permission design: scoped credentials, role boundaries
- Input and output guardrails: filters, schema validation, rate limiting
- Audit logging and SIEM integration for agent actions
- AI-assisted vulnerability scanning, SBOM analysis and compliance
07Module 7: Orchestration That Doesn't Fall Over
- Orchestrator and subagent patterns: delegation, handoff, aggregation
- Model Context Protocol (MCP): servers, clients, tool discovery
- Agent memory: short-term context, long-term vector stores
- Multi-agent failure modes: hallucination, deadlock, cascades
- Operational concerns: latency budgets, retries, graceful degradation
08Module 8: Capstone: Design, Harden & Demo
- Design brief for a realistic production system
- Multi-agent architecture and trust boundaries
- Integration sprint: CI/CD hooks, observability, IaC, Slack/PagerDuty
- Chaos engineering: load, failure injection and adversarial prompts
- Retrospective: which decisions were safe, which needed human gates
What you walk away with, and where you grow
You finish with rare, in-demand skills and proof. Then you keep growing through our community and earning from your work.
A recognised certificate
Earn a CareerByteCode certificate for a genuinely advanced, hands-on agentic AI for DevOps program.
11 agents + a capstone
A portfolio of real autonomous ops agents you can demo: pipelines, observability, IaC and multi-agent orchestration.
Rare, in-demand skills
Confident command of building, hardening and shipping production agentic systems for DevOps.
Grow through our community
Join a global community of engineers. Showcase your agents, stay visible to recruiters, and speed up the opportunities that come your way.
Earn from your skills
Turn agentic AI and DevOps skills into income through consulting, freelancing and mentoring, with a real earning pathway.
Ready to start the curriculum?
Join the next evening cohort and build agents module by module.