Cost Optimization
If you like applying Cost Optimization, every challenge here gives you a chance to practice it on a real industry brief.
- AnalysisIntermediateNew
Right-Size a Real-Time Recommendation Serving Cluster
You receive 7 days of request-level telemetry (timestamp, latency, error code, pod) plus the existing Horizontal Pod Autoscaler (HPA) and node-group configs. Analyze traffic pat…
- Model Serving
- Kubernetes
- Autoscaling
Machine Learning at Scale - AnalysisIntermediateNew
Cardinality and Cost Control on a Datadog-Based Gaming Platform
Receive an anonymized export of Datadog metric inventory (metric names, tag-cardinality counts, monthly cost per metric, team owner). Identify the top 30 cost-driver metrics, cl…
- Cardinality Control
- Datadog
- Cost Optimization
Software Observability - AnalysisIntermediateNew
Cost-Optimize an Embedding Pipeline for a Customer Support Knowledge Base
You receive: (a) the current pipeline (full re-embed on any article change, OpenAI text-embedding-3-large, 3,072 dims) with one month of cost logs, (b) a sample of 5,000 article…
- Embedding Models
- Cost Optimization
- Change Detection
Vector Databases and Embeddings
How it works
From brief to credential, in six steps.
Step 01
Browse challenges aligned to your studies.
Step 02
Accept the one that fits your goals.
Step 03
Work through it with AI Copilot guidance.
Step 04
Submit for structured evaluation.
Step 05
Earn a verified credential.
Step 06
Add it to LinkedIn with one click.
Industry teams behind a decade of practitioner briefs
Hiring from this pool?
Sponsor a challenge and meet candidates through actual work.
Industry teams can shape briefs around the skills they hire for, then evaluate students on rubric-scored deliverables — not resumes.