110 min read
Why AI Matters for Data Engineers
Data engineering is becoming the foundational layer every AI initiative depends on. Understand the shift from executor to orchestrator, and why it matters now.
2Weekend
The 48-Hour Crash Course
Learn AI essentials in a weekend. Build your first RAG app and get to grips with LLMs, prompt engineering, AI agents, vector databases, and MCP.
31 Month
The One-Month Program
Build production AI skills in four weeks: advanced RAG, multi-agent frameworks with LangGraph and CrewAI, LLMOps, and fine-tuning with LoRA and QLoRA.
43 Months
The Three-Month Advanced Track
For the ambitious data engineer. Cover research papers, multimodal systems, deployment patterns, evaluation frameworks, and reasoning models like DeepSeek-R1.
5Reference
Resources and Milestones
Curated AI resources for data engineers: top courses from DeepLearning.AI and Fast.ai, essential GitHub repos, YouTube channels, communities, and docs.
··5 min read
Closing thoughts
Where to start, what to build in the first week, and the infrastructure question your team will be answering by 2027.