Hands-on workshop labs built by BeCloudReady for engineering and analytics teams. Each lab is self-contained, with pre-scoped IAM permissions, step-by-step walkthroughs, and sample data included. Drop into a workshop or run independently.
| Workshop | What you build | What you will be able to do | Stack |
|---|---|---|---|
databricks-genie-ai-agents/ |
A governed conversational AI agent on Databricks AI/BI Genie: LLM fundamentals in SQL, Genie space, Knowledge Store curation, benchmarks | Stand up a Genie agent your stakeholders can trust — curate it, benchmark it, and govern it with Unity Catalog. No Python required for the core track | Databricks, AI/BI Genie, Unity Catalog, SQL |
aws-data-lake/ |
End-to-end data lake across 6 labs: raw ingestion, ETL, governance, CDC, and analytics | Design and operate the full AWS data engineering stack, from raw S3 files to a governed query layer in Athena and Redshift | S3, Glue, Athena, Lake Formation, Redshift, DMS, OpenSearch |
fullstack-aws/ |
Full-stack app on AWS across 7 chapters and 4 deployable projects: React, FastAPI, MongoDB, Terraform, and CI/CD | Ship a production-ready app on AWS end-to-end, including infrastructure and automated deployment | React, FastAPI, Lambda, S3, DynamoDB, API Gateway, Terraform, GitHub Actions |
llmops/ |
Deploy, observe, and route production LLM workloads on a GPU instance: vLLM serving, Prometheus/Grafana dashboards, and LiteLLM gateway with virtual keys and spend tracking | Run LLM inference in-house with full observability and cost controls, without depending on managed APIs | vLLM, LiteLLM, Prometheus, Grafana, DCGM, Docker, Ansible |
Each workshop's README carries the full lab-by-lab breakdown. Related open source: db-agent — text-to-SQL AI agent with cross-platform memory, S3 Vectors, and knowledge files (AAAI-25 workshop project).
BeCloudReady is a Databricks Registered Partner that builds and delivers cloud workshops for engineering teams. We run community workshops at TorontoAI (10K+ members).
| Cloud Workshops | Per-student AWS / Azure / GCP / Databricks sandboxes, region-locked, namespace-scoped, teardown-clean |
| AI & GPU Labs | H100 / A100 cohorts on neo-cloud (Lambda Labs, Shadeform, RunPod): 30-70% cheaper than hyperscaler on-demand |
| Sales Demo Environments | Reproducible demo stacks for SE teams and partner programs |
Need a workshop for your team? → becloudready.com/workshops · Book a call
Found a bug or a gap in a published lab? Issues and PRs are welcome. Have a lab that fits one of the tracks above? Reach out before opening a PR. See CONTRIBUTING.md for the resource-tagging standard every lab must follow.
Apache License 2.0. See LICENSE.