ML Engineer course
Features as tables. Latency as an SLA. Metrics you can put in CI. 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 410 minutes of focused work · ML Engineer
Lesson 1 · 40 min
Open the flowchart
Click nodes. Check off skills on this device. This is the syllabus, not a poster.
ML 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 · 50 min
Tensors track
The same problem in NumPy and PyTorch.
Tensors →Lesson 4 · 45 min
ML metrics
What you gate a model on.
Metrics track →Lesson 5 · 40 min
System design for serving
Warehouse is the wrong online store.
System design →Lesson 6 · 35 min
AI questions
How you knew the model got worse.
AI / ML stack →Lesson 7 · 45 min
Interview track
The sequence for this role: pads, stacks, and the story you will tell.
ML 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 →