AI Cloud Engineer Bootcamp (DevOps, Kubernetes, Terraform & RAG)
A hands-on, project-driven 5-day live bootcamp (2 hrs/evening, 10 hrs total) covering AWS, Kubernetes, Terraform, CI/CD, and SRE — finishing with a small RAG pipeline capstone. Wrapped with 4 weeks of Slack mentoring and lifetime community access. Built to get you hired as an AI Cloud Engineer, DevOps Engineer, or SRE. CAD $299 launch price.
AI Cloud Engineer is the evolved DevOps role. 5 live evenings (2 hrs/day) on AWS, Kubernetes, Terraform, CI/CD, SRE + a RAG capstone — wrapped with 4 weeks of Slack mentoring and lifetime community access. CAD $299 launch price. Next cohort: June 15, 2026 · Mon–Fri, 6–8 PM EST.
Program Details & Pricing
Schedule
- Duration: 5 days live (2 hrs/day · 10 hrs total) + 4 weeks Slack mentoring
- Format: Live cohort · Online (Zoom + Slack)
- Schedule: Mon–Fri, 6–8 PM EST
- Next cohort: June 15, 2026
What's Included
- 10 hours of live instruction (Mon–Fri, 6–8 PM EST)
- Hands-on AWS, Kubernetes, Terraform & RAG labs
- Production-grade capstone project including a small RAG pipeline on EKS
- 1:1 capstone feedback session
- 2 weeks of pre-training mentoring on Slack — get warmed up before Day 1
- 2 weeks of post-training mentoring on Slack — keep shipping after the cohort ends
- Lifetime access to the beCloudReady Slack community
- Eligible to re-attend future cohorts at no extra cost
- Portfolio & resume review
- Completion certificate
- Job-prep resources & hiring partner referrals
About this program
AI Cloud Engineer is the evolved DevOps role — cloud and Kubernetes foundations with LLMOps, RAG pipelines, and AI agent operations on top. 5 live evenings plus 4 weeks of Slack mentoring to take you from setup to a shipped capstone.
- 5 live evenings · 2 hrs/day · 10 hours of instructor-led, hands-on labs
- Foundation: AWS, Kubernetes, Terraform, CI/CD, SRE — production-grade, no toy tutorials
- AI layer: RAG pipeline capstone (vector DB + embedding service + retrieval API + LLM endpoint) deployed on EKS
- 2 weeks pre-training mentoring on Slack — arrive Day 1 ready to ship, not still installing tools
- 2 weeks post-training mentoring on Slack — your capstone actually gets deployed, not just demoed
- Lifetime access to the beCloudReady Slack community
- Re-attend future cohorts at no extra cost as the curriculum evolves
- Small cohorts (max 25) — direct instructor time, code reviews, and 1:1 capstone feedback
- Graduates placed at startups and enterprises across Canada, the US, and the UK
Free Live Webinar
Not ready to enroll yet? Join our FREE Webinar first!
Learn the exact “Become an AI Cloud Engineer” framework live. Get a sneak peek of the full curriculum, see a real project demo, and get your questions answered. Register now and save $50 on the bootcamp.
Reserve Your Free Webinar SpotSkills covered
What you'll achieve
- Deploy and manage production workloads on AWS (EC2, EKS, RDS, S3, IAM)
- Architect Kubernetes clusters from scratch and manage them with Helm & ArgoCD
- Automate all infrastructure with Terraform modules, workspaces, and state backends
- Build end-to-end CI/CD pipelines with GitHub Actions including blue-green deployments
- Set up observability stacks with Datadog or Grafana, SLOs, and incident runbooks
- Write Infrastructure as Code that passes security and compliance checks
- Ship a small RAG pipeline (vector DB + embedding service + retrieval API + LLM endpoint) onto your EKS cluster
- Build a portfolio of 3+ deployed, production-grade projects including AI infrastructure
- Land a Cloud Engineer, DevOps Engineer, SRE, or AI Cloud Engineer role
What students say
“I recently started working as Site Reliability Engineer for Oxford Properties. Special thanks to Chandan and the BCR team. The concepts and implementations I learnt at BCR and the projects I worked on gave me confidence and a broader perspective about DevOps and Cloud technologies. The videos strengthened my fundamentals and helped in my technical interview rounds. Just be patient and believe in yourself & the process.”
Annaya Mohanty
Bootcamp Graduate → Site Reliability Engineer, Oxford Properties
“I underwent training on the DevOps course at beCloudReady. They provide excellent training sessions on Git, Python, Ansible, Terraform, Jenkins, and Networking concepts, with Q&A sessions every day to resolve troubleshooting issues. I definitely recommend everyone who wants to learn DevOps.”
Kunal Killekar
Bootcamp Graduate → Platform Engineer
“During my time at BCR I learned way more than I could've ever thought. You'll be applying a lot of the knowledge you gain from the DevOps program. The experience requires you to think critically and analytically. This experience is worth more than any projects you do on your own and gives you the confidence when applying for new opportunities.”
Aaron Hong Phu
Career Changer → DevOps Engineer
Curriculum
Introduction to AI & Developer Environment Setup
- AI-assisted coding ("vibe coding") — workflows, prompting, when to trust AI output and when not to
- Introduction to AI agents — what they are, where they fit in the modern DevOps stack
- Set up your AI dev environment: Claude Code, GitHub Copilot, Google Antigravity, Cursor in VS Code
- Set up your cloud dev environment: AWS CLI, Docker Desktop, Terraform, kubectl, helm
Cloud Foundations & AWS Core
- VPC, IAM, EC2, S3, RDS deep dive
- Networking, Security Groups & NACLs
- Cost optimisation & billing best practices
- AWS CLI & SDK fundamentals
Containers & Orchestration
- Docker deep dive — images, networking, volumes
- Kubernetes architecture (pods, deployments, services)
- EKS cluster setup on AWS
- Helm charts & GitOps fundamentals
Infrastructure as Code
- Terraform modules & workspaces
- Remote state management & locking
- Drift detection & remediation
- Security scanning with tfsec
CI/CD & Delivery Pipelines
- GitHub Actions — build, test, deploy workflows
- Blue-green & canary deployment strategies
- Container registry & image scanning
SRE, Production Readiness & RAG Capstone
- SLOs, error budgets & alerting with Grafana/Datadog
- Incident response playbooks & runbooks
- Log aggregation & distributed tracing with OpenTelemetry
- Capstone: production infra build + small RAG pipeline (vector DB, embedding service, retrieval API, LLM endpoint) deployed on EKS
Career Launch — Resume, LinkedIn, GitHub & Job Search
- Resume preparation for Cloud, DevOps, SRE, and AI Cloud Engineer roles
- LinkedIn profile optimisation — headline, about, featured work, recruiter signals
- GitHub profile as your portfolio — pinned repos, README, contribution graph, capstone showcase
- Job hunting strategy — where to apply, recruiter outreach, mock interview tips, salary negotiation
How does this compare?
See how the Full Stack AI Bootcamp stacks up against the alternatives.
| Feature | beCloudReady Bootcamp | Traditional Bootcamp | Udemy Course |
|---|---|---|---|
| Duration | 5 days live (2 hrs/day · 10 hrs total) + 4 weeks Slack mentoring | 12–24 weeks | Self-paced (often abandoned) |
| Price | CAD $299 | $5,000–$20,000 | $10–$30 |
| Live instruction | ✓ | ✓ | ✗ |
| AI tools workflow (Cursor, Claude) | ✓ | Rarely | ✗ |
| Real production app | ✓ | ✓ | ✗ |
| 1:1 feedback | ✓ | Limited | ✗ |
| Job-ready focus | ✓ | Varies | ✗ |
| Certificate | ✓ | ✓ | ✓ |
| Community (Slack) | Lifetime | Limited | ✗ |
Who should join
- Backend or software engineers pivoting to cloud and infrastructure
- IT professionals seeking cloud-native and DevOps skills
- Bootcamp graduates targeting higher-paying engineering roles
- Anyone who has cloud certifications but lacks hands-on production experience
Prerequisites
- Basic Linux command line familiarity
- Comfort with at least one scripting language (Bash or Python)
Frequently asked questions
Do I need cloud experience before joining?
No prior cloud experience is required. You need basic Linux command line familiarity and comfort with at least one scripting language (Bash or Python). If you can SSH into a server and write a simple script, you're ready.
Is the CAD $299 price only for the first cohort?
Yes. CAD $299 is our introductory launch price, limited to the first 25 students. The regular price will be CAD $1,499 after the launch cohort closes. Enroll now to lock in the early-bird rate.
How much time does this require?
5 live evenings of 2 hours each (10 hours total), running Mon–Fri 6–8 PM EST. Add 1–2 hours of lab work each evening to reinforce the live session. Plus 4 weeks of Slack mentoring wrapped around the live week — 2 weeks before to get your environment ready and warm up on prerequisites, and 2 weeks after to make sure your capstone gets to production, not just demo.
What if I miss a live session?
All live sessions are recorded and available within 24 hours via the Slack workspace. Instructors also respond to async questions in Slack so you can catch up without falling behind.
Will I get a certificate?
Yes. You'll receive a beCloudReady completion certificate after finishing all 5 days and submitting your capstone project. The certificate details the specific AWS, Kubernetes, Terraform, CI/CD, and AI infrastructure skills you've demonstrated.
Does this prepare me for AWS certifications?
The bootcamp content closely maps to the AWS Solutions Architect Associate and AWS DevOps Engineer Professional exams. Many graduates sit these certifications after completing the 5 days. However, our primary goal is hands-on job-readiness for DevOps and AI Cloud Engineer roles, not exam prep.
Why is this called "AI Cloud Engineer" — is it still a DevOps bootcamp?
AI Cloud Engineer is the name the hiring market is moving toward for the evolved DevOps role. The foundation is unchanged: AWS, Kubernetes, Terraform, Docker, CI/CD, SRE — all the DevOps essentials. The difference is we end Day 5 with a small RAG pipeline capstone (vector DB, embedding service, retrieval API, LLM endpoint) so you graduate with real AI infrastructure on your portfolio. Job titles you'll be ready for: DevOps Engineer, SRE, Cloud Engineer, Platform Engineer, and AI Cloud Engineer / AI Platform Engineer.
Do I need any AI / machine learning background?
No. The RAG capstone is taught from first principles — we explain what a vector database is, how embeddings work, and how to wire a retrieval API in front of an LLM endpoint. If you can run a Docker container and write a basic Python function, you're set. You don't need a math or ML background.
Is there job placement support?
Yes. All graduates receive resume and LinkedIn review, mock technical interviews, and access to exclusive job postings from our startup and scale-up hiring partners via the Slack community. You also get lifetime Slack access and are eligible to re-attend future cohorts at no extra cost — useful when a new module is added to the curriculum.
Is there a money-back guarantee?
Yes. If you attend the first week and feel the bootcamp isn't right for you, we'll issue a full refund within 7 days of the start date — no questions asked.
Ready to get job-ready in 5 days?
Join the first cohort at our introductory price of CAD $299. Limited to 25 students.
Related Programs
Regular: CAD $1,499
Next cohort: June 15, 2026
Mon–Fri, 6–8 PM EST
Apply or enquire
Tell us a bit about yourself and we'll get back to you within one business day.