Computer Science
Cloud & Infrastructure Challenges
Cloud & Infrastructure challenges put you in charge of the foundations every service runs on. You'll work through Cloud Computing fundamentals on AWS or Azure, provision environments with Terraform, control access with Cloud IAM, and ship workloads via Helm + Kubernetes deployments.
From there you'll handle the harder edges — Multi-cloud architecture, Landing zones, Advanced IaC modules, FinOps & cost optimization, and the AWS Well-Architected Framework — designing infrastructure the way platform teams actually scale it. Each challenge you solve earns a verified credential you can share with recruiters.
- DesignBeginnerNew
Scaling a Sydney D2C Cosmetics Startup's Data Pipeline
You are tasked with designing a cloud-based data pipeline for GlowUp. The pipeline must ingest real-time user events (page views, purchases, returns) from web and mobile apps, p…
- Cloud Computing
- Apache Spark
- Nosql
Open coursework - AnalysisBeginnerNew
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
Open coursework - AnalysisBeginnerNew
Flatten the Datadog Bill for a Stockholm Gaming Studio
Working only from the materials provided, audit Stagelight Games' observability spend and produce a defensible plan to flatten it. Use the metric inventory export to rank the to…
- Cardinality Control
- Datadog
- Cost Optimization
Open coursework - AnalysisIntermediateNew
Cut Latency and Cost on a High-Volume Summarization Service
You receive 30 days of anonymized request logs (prompt token counts, completion token counts, latencies, models used). Profile the cost and latency distribution, then design and…
- Cost Optimization
- Latency Optimization
- Prompt Compression
Open coursework Practice your coursework on real scenarios.
Every challenge is shaped from real-world context — not generic exercises. The work mirrors what your degree prepares you for.
Why Ewance
- CodeSeniorNew
Stand Up a Data Platform for a Mobility-Data Startup's First ML Model
As a 4-person team, build (1) a streaming ingestion path from a simulated telemetry source (Kafka + Python producer is fine); (2) a batch ETL job into a small warehouse (DuckDB …
- Data Engineering
- Streaming Ingestion
- Feature Store
AI Software Engineering Group Project - CodeIntermediateNew
Refactor a Tangled Terraform Repo for a Multi-Account AWS Estate
Working only from the materials provided — the de-identified repository snapshot, the account-and-region inventory, the plan-timing-and-drift readout, and the platform team's in…
- Terraform
- Terragrunt
- Infrastructure As Code
Open coursework - DesignIntermediateNew
Build a Multi-Tenant Kubernetes Foundation for Veterinary-Clinic SaaS
Using the provided tenant tier specification and tenant roster, design and prototype a multi-tenant model where each tenant gets its own Kubernetes namespace for compute, its ow…
- Kubernetes
- Multi Tenancy
- AWS
Open coursework - DesignSeniorNew
Multi-Region Failover for an Enterprise RAG Service
Design and prototype: (1) a primary-region deployment of the RAG service (vector DB + LLM inference + retrieval API), (2) a passive secondary region with replicated vector store…
- Multi Region Architecture
- Disaster Recovery
- Infrastructure As Code
Cloud Computing for Data and ML - Browse challenges
Explore role
Product Manager
Ship product that solves real user problems. Combine user research, prototyping, and stakeholder alignment to turn ambiguous briefs into measurable wins — the role at the centre of modern software teams.
- AnalysisIntermediateNew
Halve a Daily Spark Bill Without Breaking the SLA
Work only from the materials in this file. Read the representative PySpark module (PULSE-JOB) and the cluster configuration (PULSE-CLUSTER) to understand how the nightly job is …
- Spark
- Cost Optimization
- Etl Pipelines
Open coursework - CodeBeginnerNew
Containerize a Legacy Java Monolith and Move It to AWS ECS
Working only from the supplied materials — a representative module of the quoting application (`quote-engine-module`), a snapshot of the current web-server and routing configura…
- Containerization
- Docker
- AWS
Open coursework - AnalysisIntermediateNew
Cost-Optimize a Misshapen Kubernetes Cluster
Receive 30 days of cluster metrics (Prometheus + AWS Cost Explorer exports), Helm releases, and PodDisruptionBudgets per namespace. Profile: identify the top 3 cost drivers (lik…
- Kubernetes
- Cost Optimization
- AWS
Cloud Computing - DesignIntermediateNew
Redesign DataFlow's Architecture for Enterprise Sales
Working only from the materials provided (the engineering dossier, the current-system technical specification, the enterprise prospect requirements brief, and the reliability an…
- Microservices
- Multi Tenancy
- Cloud Architecture
Open coursework Build a verifiable portfolio.
Submissions become evidence. Reviewers with shipping experience score against a rubric; the result becomes a credential anyone can verify.
Why Ewance
- DesignIntermediateNew
Cloud Architecture Design for a Multi-Tenant SaaS Platform
Deliver a comprehensive cloud architecture design covering: (1) Multi-tenancy strategy (shared database with row-level security vs. schema-per-tenant vs. database-per-tenant — j…
- Cloud Computing
- It Security
- Web Development
Open coursework - CodeIntermediateNew
Implement Authenticated Encryption for a Document Service
Design the envelope-encryption hierarchy: customer Key Encryption Key (KEK) held in AWS KMS (Key Management Service), Data Encryption Keys (DEKs) wrapped per document. Use AES-2…
- Applied Cryptography
- Aead
- Key Management
Applied Cryptography - CodeSeniorNew
Cost-Optimize a 24/7 LLM API Cluster
Profile the current usage (24-hour trace, per-team breakdown). Pick a cost-optimization mix from: time-based autoscaling, spot/preemptible instances with graceful drain, smarter…
- LLM Serving
- Autoscaling
- Ray
ML Engineering and Production ML - AnalysisBeginnerNew
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 - DesignSeniorNew
Multi-Region Active-Active Architecture for a Gaming Backend
Read the current architecture (single-region: ECS + RDS Aurora + Redis + S3) and traffic mix (around 60 percent APAC, 25 percent NA, 15 percent EU). Design a 3-region active-act…
- Multi Region Architecture
- AWS
- Terraform
Cloud Computing - CodeIntermediateNew
Build a Serverless ETL Pipeline for a Climate-Tech Sensor Fleet
Build the pipeline using managed services only (e.g., S3 + Lambda + EventBridge + Glue, or GCS + Cloud Functions + Cloud Scheduler + BigQuery external tables). Source the data f…
- Serverless Architecture
- Etl Pipelines
- Infrastructure As Code
Cloud Computing for Data and ML - PresentationIntermediateNew
Digital Innovation Pitch: AI-Powered Logistics Optimization
Research the state of AI in logistics (route optimization, demand prediction, computer vision for warehouse automation). Select one innovation area and develop: (1) Problem stat…
- Digital Innovation
- Digital Transformation
- Cloud Computing
Open coursework - DesignIntermediateNew
Stand Up a Self-Service Developer Platform on Backstage
Read the company case file, the squad-and-service inventory, and the Platform v1 postmortem, and consult the official Backstage software-templates documentation for the mechanic…
- Internal Developer Platform
- Backstage
- Terraform
Open coursework
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.
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