AI Engineer course
Retrieval is a pipeline. Eval is a job. The model brand is not the incident. A sequenced path on DataLane — roadmap, coding, interview, then a cert if this loop uses one. Not a video rental.
6–8 weeks · 9 lessons · about 370 minutes of focused work · AI Engineer
Lesson 1 · 40 min
Open the flowchart
Click nodes. Check off skills on this device. This is the syllabus, not a poster.
AI Engineer roadmap →Lesson 2 · 90 min
SQL you can defend
Grain, windows, anti-joins. Every data role sits this pad. Filter the list to this role.
Coding problems →Lesson 3 · 25 min
RAG as ETL
Chunk, embed, version, ACL-filter. The model brand is not the incident.
RAG pipelines →Lesson 4 · 20 min
LLM pipeline patterns
COMPLETE in incremental ELT — never in a dashboard refresh.
LLM pipelines →Lesson 5 · 40 min
AI interview stack
Eval, leakage, retrieval.
AI questions →Lesson 6 · 45 min
SnowPro Gen AI practice
Cortex as a transform, not a tile.
Gen AI exam →Lesson 7 · 45 min
Interview track
The sequence for this role: pads, stacks, and the story you will tell.
AI Engineer interview →Lesson 8 · 40 min
Question bank
Filter to this role. Reveal after you say the first sentence out loud.
Role question bank →Lesson 9 · 25 min
Drill mode
One question at a time. Mark knew / partial / missed on this device.
Drill this role →