GenAI Accelerator: 6-Week Course on Production-Grade AI Systems

LinkDave EbbelaarResource

Datalumina's GenAI Accelerator is a self-paced, 6-week program designed for developers and data professionals. It teaches how to build, evaluate, and deploy production-ready AI systems using proven real-world engineering patterns.

Key points

  1. Includes 65 lessons and hands-on labs across 6 weeks with roughly 40 hours of content.
  2. Covers core engineering tools including uv, Pydantic, FastAPI, Celery, Redis, Docker, MCP, and PostgreSQL.
  3. Deep dives into RAG pipelines, hybrid search, vector databases, and evaluation/guardrails via Langfuse.
  4. Covers production deployment using VPS setups, Caddy for SSL, CI/CD pipelines, and Sentry monitoring.
  5. Offered at 1,697 USD for lifetime access with a 30-day money-back guarantee.

Why it matters

Developers often struggle to move beyond basic LLM wrapper scripts. Learning production patterns for background tasks, evaluations, and containerised deployments is essential for shipping reliable software.

Analysis

The GenAI Accelerator targets developers seeking to bridge the gap between toy demos and scalable enterprise AI software. Created by Dave Ebbelaar based on Datalumina's delivery of over 50 commercial AI systems, the course emphasizes end-to-end architecture.

Curriculum Breakdown

  • Week 1 (Foundations): Python setup with uv, core LLM concepts, and advanced prompt engineering.
  • Week 2 (System Design): Building type-safe workflows with Pydantic and applying context engineering patterns.
  • Week 3 (Architectures & Containers): Building scalable backends with FastAPI, Celery, Redis, Docker, MCP, and PostgreSQL/Alembic.
  • Week 4 (RAG): End-to-end retrieval pipelines, vector databases, and hybrid search methods.
  • Week 5 (Monitoring & Evals): Tracing model performance with Langfuse, implementing guardrails, and building evaluation pipelines.
  • Week 6 (Deployment): Cloud VPS provisioning, automated SSL with Caddy, CI/CD automation, and Sentry integration.

The self-paced curriculum includes access to the GenAI Launchpad, expert masterclasses, and a course completion certificate.

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