Databricks Lakehouse Bootcamp – Build Production Pipelines in One Weekend
Build a production-grade end-to-end Lakehouse pipeline on Databricks in one weekend. Master Medallion Architecture, Delta Lake, Unity Catalog, Lakeflow & AI/BI (Genie) — designed for working professionals.
Build production Lakehouse pipelines with Databricks, Delta Lake, Unity Catalog, Lakeflow, Apache Spark & AI/BI (Genie) — in one weekend. CAD $299 launch price. Next cohort: May 9, 2026 · Sat & Sun, May 9–10 · 6–9 PM EST.
Program Details & Pricing
Schedule
- Duration: 1 weekend (3 hrs/day · 6 hrs total)
- Format: Live cohort · Online (Zoom + Discord)
- Schedule: Sat & Sun, May 9–10 · 6–9 PM EST
- Next cohort: May 9, 2026
What's Included
- 6 hours of live, hands-on instruction
- Dedicated Databricks workspace on AWS
- Full end-to-end pipeline source code & notebooks
- Medallion Architecture reference project
- 1:1 project walkthrough session
- Completion certificate
- Lifetime Discord community access
- Job-applicable skills you can use on Monday
About this program
This weekend Databricks Lakehouse Bootcamp is designed specifically for working professionals — Database Admins, Data Engineers, Data Analysts, and Data Scientists — who need to upskill without disrupting their weekday jobs. In just two days (Saturday and Sunday, May 9–10, 2026, 6–9 PM EST), you will build a complete, production-grade Lakehouse pipeline from raw data ingestion all the way to AI-powered analytics. You will work hands-on inside a real Databricks workspace on AWS, implementing the Medallion Architecture (Bronze, Silver, Gold), governing data with Unity Catalog, orchestrating pipelines with Lakeflow, and querying results with natural language using Databricks AI/BI (Genie). Every topic is immediately applicable on the job — no theory-only slides, no toy datasets. You will leave with a fully deployed reference pipeline you can demo to your team or employer, and the confidence to start using these skills at work from Monday. The bootcamp content also maps directly to the Databricks Certified Associate Developer for Apache Spark and Databricks Lakehouse Fundamentals exams, giving you a head start on certification. At CAD $299, it is a fraction of official Databricks Academy courses and enterprise training rates, while delivering more hands-on depth.
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What you'll achieve
- Design and implement a full Medallion Architecture pipeline (Bronze → Silver → Gold) on Databricks
- Ingest data from relational databases and flat files into Delta Lake tables
- Apply enterprise-grade governance, lineage, and access control with Unity Catalog
- Transform and enrich datasets at scale using PySpark and Spark SQL
- Build KPI-ready aggregations and dimensional models in the Gold layer
- Create AI-powered dashboards and natural language analytics with Databricks AI/BI (Genie)
- Orchestrate end-to-end pipelines declaratively with Lakeflow and Databricks Jobs
- Apply production best practices: monitoring, performance tuning, cost optimisation, and failure handling
What students say
“During my time as a BCR Data Science intern, I learned way more than I could've ever thought. You'll be applying a lot of the knowledge from the program — it requires you to think critically and analytically. This experience is worth more than any self-paced course and gives you the confidence when applying for new opportunities.”
Aaron Hong Phu
BCR Data Science Intern → Analytics Engineer
“The concepts and implementations I learnt at BCR gave me confidence and a broader perspective about cloud technologies. The hands-on projects and Q&A sessions were invaluable. I definitely recommend BCR to anyone who wants to build real skills, not just pass exams.”
Annaya Mohanty
Bootcamp Graduate → Site Reliability Engineer, Oxford Properties
“Excellent training sessions with daily Q&A to resolve real troubleshooting issues. The hands-on approach with actual tools you use in production is what sets this apart from every other online course I've tried.”
Kunal Killekar
Bootcamp Graduate → Platform Engineer
Curriculum
Saturday — Lakehouse Foundations, Architecture & Bronze Ingestion
- Lakehouse Architecture vs Data Lake vs Data Warehouse — trade-offs & use cases
- Delta Lake fundamentals: ACID transactions, time travel, schema evolution
- Medallion Architecture (Bronze, Silver, Gold) — design principles
- Unity Catalog: governance, lineage, access control setup
- Workspace navigation, cluster configuration & SQL Warehouses
- Batch ingestion from PostgreSQL (AWS RDS) into Delta Bronze layer
Sunday — Silver Transformation, Gold Analytics & Production Readiness
- Silver layer: data cleansing, deduplication, type casting & enrichment joins
- Data quality validation and idempotent Delta merge patterns
- Gold layer: KPI aggregations, dimensional modelling & Databricks SQL
- AI/BI with Genie — natural language queries and dashboard creation
- Lakeflow declarative pipelines & Databricks Jobs orchestration
- Monitoring, failure handling, performance tuning & cost optimisation
How does this compare?
See how the Full Stack AI Bootcamp stacks up against the alternatives.
| Feature | beCloudReady Bootcamp | Traditional Bootcamp | Udemy Course |
|---|---|---|---|
| Duration | 1 weekend (3 hrs/day · 6 hrs total) | 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 (Discord) | Lifetime | Limited | ✗ |
Who should join
- Data Engineers migrating from traditional ETL tools to modern Lakehouse patterns
- Database Admins and Data Analysts upskilling into cloud-native data engineering
- BI Developers who want to build pipelines beyond just dashboards
- Cloud or Data Architects evaluating Databricks for their organisation
- Working professionals who cannot attend weekday evening courses
Prerequisites
- Solid SQL skills (joins, aggregations, window functions)
- Basic Python familiarity (loops, functions, DataFrames)
Frequently asked questions
Is this bootcamp suitable for working professionals?
Yes — it is designed specifically for them. The weekend-only format (Saturday & Sunday, May 9–10, 6–9 PM EST) means you don't need to take time off work or sacrifice weekday evenings. Two focused days, fully hands-on.
What is the exact schedule for May 9–10, 2026?
Saturday May 9: 6–9 PM EST — Lakehouse foundations, Delta Lake, Unity Catalog, and Bronze ingestion. Sunday May 10: 6–9 PM EST — Silver transformation, Gold analytics, AI/BI with Genie, Lakeflow orchestration, and production readiness. Total: 6 hours of live instruction.
Do I need prior Databricks experience?
No. You need solid SQL skills and basic Python familiarity. If you can write a JOIN query and a Python function, you are ready. We start from workspace setup on Day 1 (Saturday).
Is the CAD $299 price only for the first cohort?
Yes. CAD $299 is our introductory launch price limited to the first 20 students. The regular price will be CAD $799 after the launch cohort closes. Enroll now to lock in the early-bird rate.
Will I get my own Databricks workspace?
Yes. Every student gets access to a dedicated Databricks workspace on AWS for the full weekend. All labs and the end-to-end pipeline project run in this live environment.
Does this help with Databricks Data Engineer certification?
Yes. The bootcamp content maps closely to the Databricks Certified Associate Developer for Apache Spark and the Databricks Lakehouse Fundamentals exams. Many participants sit these certifications after completing the weekend.
What if I miss a live session?
Both sessions are recorded and available within 24 hours via Discord. The instructor also responds to async questions so you can complete the labs at your own pace after the weekend.
Is there a money-back guarantee?
Yes. If you attend Saturday's session and feel the bootcamp isn't right for you, we'll issue a full refund within 24 hours — no questions asked.
Ready to get job-ready in 5 days?
Join the first cohort at our introductory price of CAD $299. Limited to 20 students.
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Next cohort: May 9, 2026
Sat & Sun, May 9–10 · 6–9 PM EST
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