{"id":51289974,"url":"https://github.com/becloudready/ai-cloud-engineer-bootcamp","last_synced_at":"2026-06-30T09:02:58.496Z","repository":{"id":357027561,"uuid":"1072461452","full_name":"becloudready/ai-cloud-engineer-bootcamp","owner":"becloudready","description":"Free DevOps Roadmap 2026 — learn AWS, Kubernetes, Terraform, Docker, CI/CD \u0026 SRE with hands-on labs. 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[Learn More](https://becloudready.com/programs/ai-cloud-engineer-bootcamp)\n\n\n**Prerequisites:** basic Linux CLI, comfort with Bash or Python, an AWS Free Tier account.\n\n---\n\n## The learning path\n\n| Week | Module | Tools | What you build | AI accelerates this |\n|---|---|---|---|---|\n| 1–2 | AWS Cloud Fundamentals | AWS, Terraform, IAM, EKS, Lambda | Custom VPC + IAM setup | Claude generates the templates, you decide the architecture |\n| 2–3 | Docker \u0026 Kubernetes | Docker, Helm, ArgoCD | Containerised app on EKS cluster | AI writes the Dockerfile, you own the image hardening |\n| 3–4 | Terraform + CI/CD | Terraform, GitHub Actions | Full IaC pipeline with security scanning | AI scaffolds the modules, you own state management |\n| 4 | SRE \u0026 Observability | Grafana, Prometheus | Live incident simulation with dashboards | AI generates dashboard JSON, you calibrate the thresholds |\n| 5 | AI / RAG / AgentOps | pgvector, LLM APIs, Ollama | Text-to-SQL RAG agent deployed to K8s | This IS the AI project — you own the guardrails |\n\n---\n\n## Week 0 — Before You Show Up\n\nGet these out of the way so we don't burn live time on setup.\n\n- AWS Free Tier account, IAM admin user with access keys, AWS CLI installed\n- Docker Desktop installed and `docker run hello-world` works\n- Terraform CLI installed (`terraform -v`)\n- `kubectl` and `helm` installed\n- VS Code (or your editor) + Git configured\n\nLight pre-reading if you have time:\n- [Understanding of OSI Model by Cloudflare](https://www.cloudflare.com/learning/ddos/glossary/open-systems-interconnection-model-osi)\n- [IP Address/CIDR Tool](https://cidr.xyz/)\n- [LFS101 — Intro to Linux](https://training.linuxfoundation.org/training/introduction-to-linux/) Chapters 1–5\n- [Introduction to Git \u0026 GitHub](https://www.youtube.com/watch?v=AhVUVezcj8g\u0026list=PLc3FmsLyhBtspphc04ABMpmwf_aizn9Sq)\n\n---\n\n## Week 1 — Cloud Foundations \u0026 AWS Core\n\n**Modules**\n\n- [AWS Cloud Practitioner Essentials](https://skillbuilder.aws/learn/94T2BEN85A/aws-cloud-practitioner-essentials/9SSAGGQQ12)\n- [Virtual Private Cloud - VPC](https://skillbuilder.aws/learn/PH6Z6EVH8Z/introduction-to-amazon-virtual-private-cloud-vpc/PA8H7FUE15)\n- [AWS EC2](https://skillbuilder.aws/learn/DMG1BSGQNN/build-with-amazon-ec2/B7FZRSJADX)\n- [AWS IAM - Lab builder](https://skillbuilder.aws/learn/XFPX3M7HAQ/introduction-to-aws-identity-and-access-management-iam/DQJ3N5QRRU)\n- [AWS RDS - PostgreSQL](https://skillbuilder.aws/learn/AK479CRG5K/fundamentals-of-amazon-rds-for-postgresql/FB4ZR9N2DU)\n\n---\n\n## Week 2 — Containers \u0026 Orchestration\n\n**Modules**\n\n- [Enable WSL (Windows Susbsystem for Linux) in Windows](https://youtu.be/uXkhc8lW_3c?si=yUM_vqJ6UeoL5tTv)\n- [Docker Desktop Setup - Windows](https://www.youtube.com/watch?v=ompGfhIKIJ0)\n- [Docker Introduction](https://www.youtube.com/watch?v=pg19Z8LL06w)\n- [Enable Kubernetes in Docker Desktop with WSL](https://www.youtube.com/watch?v=Yc1iCVXVFCI\u0026t=3s)\n- [Kubernetes overview](https://www.youtube.com/watch?v=XuSQU5Grv1g)\n\n---\n\n## Week 3 — Infrastructure as Code (Terraform)\n\n**Modules**\n\n- [Terraform Basics with AWS](https://www.youtube.com/watch?v=rsct-JvJmKs)\n\n\n---\n\n## Week 4 — CI/CD \u0026 Delivery Pipelines\n\n**Modules**\n\n- [Git \u0026 GitHub](https://www.youtube.com/watch?v=AhVUVezcj8g\u0026list=PLc3FmsLyhBtspphc04ABMpmwf_aizn9Sq)\n- [GitHub Actions - Detailed](https://www.youtube.com/watch?v=E2RRxcq_08E)\n\n---\n\n## Week 5 — SRE, Production Readiness \u0026 RAG Capstone\n\n**Modules**\n\n- [APM vs Observability](https://www.youtube.com/watch?v=CAQ_a2-9UOI)\n- [Introduction to Observability](https://www.youtube.com/watch?v=TQur9GJHIIQ\u0026list=PLDGkOdUX1Ujo27m6qiTPPCpFHVfyKq9jT)\n\n\n---\n\n### Week 6 - AI, LLM, Agents\n\n- [How I use LLMs by Andrej Karpathy](https://www.youtube.com/watch?v=EWvNQjAaOHw)\n- [AI Agent Skills by IBM](https://www.youtube.com/watch?v=Lg-meK5IU8Q)\n- [AI Agents MCP](https://www.youtube.com/watch?v=pvxNcQTcIy4)\n- [Retrieval-Augmented Generation - RAG](https://www.youtube.com/watch?v=T-D1OfcDW1M)\n- [Claude Code Introduction by Anthropics](https://www.youtube.com/watch?v=fl1DSmwQKKY)\n\n## Capstone projects\n\n**[db-agent](https://github.com/db-agent/db-agent)** — text-to-SQL AI agent deployed on Kubernetes\n- SQL safety guardrails, full CI/CD pipeline, presented at AAAI-25\n- Available as Streamlit, Next.js+FastAPI, and native Databricks App\n\n**[AWS enterprise data lake](https://github.com/becloudready/quick-labs/tree/master/labs/aws-data-lake)** — three-lab sequence for building a production-grade data lake on AWS\n- Lab 1: S3 raw/curated zones, Glue PySpark ETL, Parquet, Athena\n- Lab 2: event-driven ingestion — S3 triggers, SQS, Lambda, Redshift\n- Lab 3: Lake Formation governance — row/column/tag-based access controls, CDC via DMS\n- Entire environment provisioned with Terraform, per-student sandboxed IAM\n\n## What AI has and hasn't changed\n\n| AI commoditized this | Engineers still own this |\n|---|---|\n| Writing Terraform from scratch | State management, multi-account strategy |\n| Dockerfile boilerplate | Image hardening, multi-stage builds |\n| K8s manifest YAML | CNI, admission webhooks, cluster security |\n| Basic alerting rules | Calibrating thresholds, incident command |\n| RAG pipeline scaffolding | Chunk strategy, retrieval quality, guardrails |\n\nAI wrote this table. I decided what goes in each column.\n\n## How to use this repo\n\nOption A — Self-paced: Work through the modules on your own. Everything links to the relevant open-source tools. No signup required.\n\nOption B — With the cohort: Weekly live session on Mondays 6–8 PM EDT. Slack support throughout the week. Access to the TorontoAI founder and recruiter network (10,000+ members). $299 CAD one-time. [becloudready.com](https://becloudready.com/programs/ai-cloud-engineer-bootcamp)\n\nOption C — Corporate: Private team workshops for Databricks and cloud engineering teams. [Book a call](https://calendly.com/kchandank/30-mins-meeting)\n\n## Community\n\n[TorontoAI](https://toronto-ai.org) — 10,000+ members across Toronto and US East Coast. Quarterly in-person events. Beehiiv newsletter: 2,400+ subscribers.\n","project_url":"https://awesome.ecosyste.ms/api/v1/projects/github.com%2Fbecloudready%2Fai-cloud-engineer-bootcamp","html_url":"https://awesome.ecosyste.ms/projects/github.com%2Fbecloudready%2Fai-cloud-engineer-bootcamp","lists_url":"https://awesome.ecosyste.ms/api/v1/projects/github.com%2Fbecloudready%2Fai-cloud-engineer-bootcamp/lists"}