SoftBricks Academy trains individual engineers through public bootcamps and supports IT teams through private delivery. Live instruction, real builds, and curricula drawn from production work, not textbooks.
An academy from softbricks.ai
The academy now serves two audiences clearly: public bootcamps for individuals and private training for teams that need stronger delivery habits in real environments.
We simplify complex skills through hands-on bootcamps, mentorship, and real-world projects. No passive videos. Every week ends with a working, deployed build.
We help teams turn messy delivery into repeatable systems. Train your team on the tools they will use in production, not on toy examples.
Use the same academy tracks as team enablement programs with private delivery, internal workshops, practical labs, and architecture reviews shaped around your stack and rollout constraints.
Run a track privately for your engineering, platform, DevOps, data, or IT team instead of sending people through a public cohort one by one.
Adapt the material to your tooling, cloud environment, governance rules, and deployment realities so training translates into implementation faster.
Train teams to build, operate, evaluate, and maintain systems internally, not just to finish a course and forget the habits.
Complementary bootcamps built from production engagements. Each runs as a live cohort, each ends with a deployed portfolio project. Take one — or combine them.
Build production-ready multi-agent systems with LangGraph, RAG, async pipelines, and MCP-based tool integration.
End-to-end classical ML on Databricks: MLflow, Feature Store, Model Serving, Asset Bundles, CI/CD, and Lakehouse Monitoring.
Build a reliable system around your AI coding assistant — rules, commands, MCP, remote agents, and subagent orchestration.
Go from idea to a deployed, billable agent product — prototype, build, wrap, deploy, evaluate, and productise.
Operationalise LLM applications end-to-end: MLflow tracing, evaluation, Vector Search, Mosaic AI Serving, Asset Bundles, and CI/CD.
The academy is expanding into adjacent engineering disciplines. Register interest to be notified when cohorts open.
Job-ready cloud engineering with AWS core services, VPC networking, IAM security, Terraform, CI/CD, Docker, ECS, monitoring, and production deployment.
Python, SQL, predictive modeling, ML pipelines, data warehousing, and BI dashboards. From raw data to decisions.
Modern full-stack engineering: React, Next.js, type-safe APIs, auth, databases, and production deployment on the edge.
Cross-platform mobile engineering with React Native and native patterns. From first screen to store-ready release pipeline.
Every track follows the same operating rhythm — only the subject matter changes. The format is what makes graduates different.
Saturdays & Sundays, 8–11 PM WAT. Real-time Q&A, architecture reviews, and code walkthroughs on actual workspaces.
Every week ends with a deployed, working project. No notebooks that break the moment you close the tab.
Each track ends with an end-to-end portfolio project you own. Walk into interviews with something real to show.
Private cohort channels, code reviews, and unlimited re-attendance for future cohorts. The network outlasts the bootcamp.