Becoming an AI Cloud Engineer — Free Live Career Session (2026)
AI isn't replacing DevOps — it's amplifying it. Every AI agent in production is a long-running, non-deterministic system that needs orchestration, observability, guardrails, and someone o keep it up at 3 AM. Cloud, DevOps, and AI Platform Engineering are the highest-paid, fastest-growing jobs of 2026 — and employers want engineers who can ship real infrastructure, not collect certifications.
What I'll cover in 1 hour:
The modern DevOps stack — AWS, Kubernetes, Terraform, Docker, GitHub Actions — and how it fits together in production
Where AI changes the role: LLMOps, AI agent platforms, GPU infrastructure, model serving, observability and guardrails for AI workloads
Why every AI agent in production is a distributed system that needs orchestration, secrets management, cost controls, and on-call coverage
How we use AI tools (ChatGPT, Claude, GitHub Copilot, Cursor) in the bootcamp to write Terraform faster, debug Kubernetes, and generate runbooks
What employers actually test for in DevOps interviews in 2026
Live demo: a real CI/CD pipeline from git push to a running container on Kubernetes
SRE fundamentals: SLOs, error budgets, on-call, incident response
The career path: Junior DevOps → SRE → Platform Engineer → AI Platform Engineer, with salary bands
A walkthrough of the 5-day Cloud & DevOps Bootcamp (starts June 15) — and whether it's right for you
Live Q&A
Attendees get $50 off the 5-day bootcamp.
Who this is for:
Aspiring Cloud or DevOps engineers
Sysadmins and support engineers modernizing their skill set
Developers moving toward infrastructure ownership
Career-changers entering tech, especially toward AI infrastructure roles
No prior AWS or Kubernetes experience required. Basic Linux familiarity helps.
Speaker:
Chandan Kumar — Founder of beCloudReady. Toronto-based DevOps engineer and educator. Trained 500+ engineers now working at startups and enterprises across Canada and the US.
Register: https://becloudready.com/webinar/devops