Information Technology Challenges
Explore information technology challenges on Ewance to develop skills companies are actively hiring for. Work on briefs covering cloud, infrastructure, security, and platform engineering.
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- DesignIntermediateNew
Author an Incident Response Playbook for a Fintech Startup
Author a 4-phase playbook (Prepare, Detect & Analyze, Contain/Eradicate/Recover, Post-Incident) covering 6 incident classes: data breach, ransomware, account takeover, payment-f…
- Incident Response
- NIST Sp 800 61
- Security Governance
Information Security Management and Governance - AnalysisIntermediateNew
GDPR + AI Act Compliance Assessment for an HR-Tech Vendor
Audit the candidate-screening product against: GDPR Articles 5, 6, 13, 14, 22, 25, 32, 35; AI Act high-risk-system obligations (Annex III - employment); plus the customer's spec…
- Compliance
- Privacy Regulation
- GDPR
Information Security Management and Governance - DesignBeginnerNew
Vendor-Security Review Program for a Series-C SaaS
Design a 3-tier TPRM framework (critical / important / low-risk) with explicit classification criteria (data type, integration depth, downtime impact, regulatory scope). For eac…
- Third Party Risk
- Security Governance
- Compliance
Information Security Management and Governance - AnalysisIntermediateNew
Privacy-by-Design Review for a Smart-City Data Platform
Map the new module's end-to-end data flow (sensors -> ingestion -> analytics -> dashboards -> exports). Run a Privacy Impact Assessment against OECD privacy principles + per-ten…
- Privacy By Design
- Privacy Regulation
- Compliance
Information Security Management and Governance Develop in-demand professional skills.
Each challenge names the skills it strengthens. Over time, your profile fills with the competences a hiring manager would actually look for.
Why Ewance
- ResearchIntermediateNew
Validate a Developer-Tooling Startup Idea from a Research Group
Recruit 18 backend developers across fintech, B2B SaaS, and devtools (6 per vertical), all currently writing test fixtures by hand. Run 30-minute problem-discovery interviews us…
- Opportunity Identification
- Customer Discovery
- Venture Building
Innovation and Entrepreneurship for CS - StrategyIntermediateNew
Build a Lean MVP for a Climate-Adaptation SaaS
Frame the MVP using Build-Measure-Learn: what's the minimum product that lets you test the riskiest assumption (likely: will SMEs pay annually vs per-event for parametric flood …
- Lean Startup
- Venture Building
- Mvp Design
Innovation and Entrepreneurship for CS - StrategyIntermediateNew
Spin-Out Strategy for a Robotics Lab's Warehouse Picking IP
Map each path: (1) OEM licensing (model royalty terms, time-to-deal, IP protection); (2) founder-led startup (cap table, hiring needs, fundraising path, 18-month milestones); (3…
- Venture Building
- Research To Product
- Strategic Options Analysis
Innovation and Entrepreneurship for CS - ResearchIntermediateNew
Emerging-Tech Scouting Sprint for a Family-Office Innovation Fund
Per sector, map the landscape (around 30 active companies, segment by stage + business model + technical approach). Score companies on a technology-readiness-level (TRL) + comme…
- Emerging Tech Scouting
- Innovation Management
- Venture Thesis
Innovation and Entrepreneurship for CS - Browse challenges
Explore role
Strategy Analyst
Frame the business question, model the options, build the recommendation. From market sizing to competitive analysis, this role is where strategy consulting meets in-house decision-making.
- StrategyIntermediateNew
Corporate Innovation Pilot Design for a Tier-1 Auto Supplier
Audit year-1: review the 14 pilots' charters, outcomes, and sponsor commitment. Identify the structural failures (likely: no sponsor with budget ownership, no scale-up criteria …
- Innovation Management
- Pilot Program Design
- Stakeholder Communication
Innovation and Entrepreneurship for CS - CodeBeginnerNew
Build a Search-Based Logistics Router for a Same-Day Delivery Service
Build a Python service exposing /route that takes (courier_location, list_of_stops, traffic_window) and returns an ordered route. Implement 2 search strategies: A* (with a domai…
- Search Algorithms
- Intelligent Agents
- Python Or Javascript
Introduction to Artificial Intelligence (CS Elective) - CodeBeginnerNew
Knowledge-Graph Recommender for a Niche Online Bookstore
Model the catalog as a knowledge graph (nodes: books, authors, genres, themes, eras, awards; edges: wrote, in-genre, has-theme, won, similar-to). Use Neo4j or a simple Python in…
- Knowledge Representation
- Knowledge Graphs
- Python Or Javascript
Introduction to Artificial Intelligence (CS Elective) - CodeIntermediateNew
Automated Planner for a Field-Service Maintenance Schedule
Model the scheduling problem as either PDDL (Planning Domain Definition Language) or a constraint-satisfaction problem using a solver like OR-Tools. Define: actions (visit_site,…
- Planning
- Constraint Satisfaction
- Python Or Javascript
Introduction to Artificial Intelligence (CS Elective) Get recognized by recruiters and employers.
Credentials are blockchain-anchored via LearnCoin — tamper-evident, portable, link-shareable on LinkedIn and beyond.
Why Ewance
- CodeFoundationalNew
Rule-Based Intent Classifier for a Customer-Support Triage Bot
Build a rule-based classifier in Python that runs ordered rules (regex + keyword + simple heuristics) against ticket subject + body. Use a hierarchical rule structure (high-prec…
- Knowledge Representation
- Rule Based Systems
- Python Or Javascript
Introduction to Artificial Intelligence (CS Elective) - CodeBeginnerNew
Intelligent Agent for a Smart-Thermostat Pricing-Aware Schedule
Design an intelligent agent with: perception (read sensor history), basic learning (cluster comfort intervals from 7 days of observations), decision-making (schedule heating to …
- Intelligent Agents
- Basic Learning
- Python Or Javascript
Introduction to Artificial Intelligence (CS Elective) - CodeBeginnerNew
Churn-Prediction Model for a B2B Vertical SaaS
Use 18 months of anonymized data (provided) covering: usage events, login frequency, support tickets, NPS responses, billing health, feature adoption, practice firmographics. De…
- Supervised Learning
- Python Or Javascript
- Ml Applications
Machine Learning (CS Elective) - CodeBeginnerNew
Image-Classification Model for a Quality-Control Line at a Bottling Plant
Train an image classifier on 8,000 labeled bottle images (3 defect classes + 'ok'). Use transfer learning from a pre-trained backbone (EfficientNet-B0 or MobileNetV3) — the line…
- Deep Learning
- Supervised Learning
- Ml Applications
Machine Learning (CS Elective) - AnalysisBeginnerNew
Customer-Segmentation Study for a DTC Subscription Box
Use 18 months of anonymized data: order history, churn events, NPS responses, box-rating data, referral activity, marketing-channel attribution. Engineer features (RFM-style + b…
- Unsupervised Learning
- Python Or Javascript
- Ml Applications
Machine Learning (CS Elective) - CodeIntermediateNew
Forecasting Model for Online-Game Daily Active Users
Build forecasts at 14-day horizon per region using: (1) classical baseline — SARIMA or Prophet; (2) ML approach — gradient-boosted regressor on engineered features (day-of-week,…
- Supervised Learning
- Time Series Forecasting
- Python Or Javascript
Machine Learning (CS Elective) - CodeBeginnerNew
Build an Embedding-Based Semantic Search for a Legal-Document Corpus
Embed the 380k-document corpus using a multilingual sentence-transformer (e.g. multilingual MPNet or LaBSE). Store embeddings in FAISS or pgvector. Build a search service that r…
- Deep Learning
- Ml Applications
- Python Or Javascript
Machine Learning (CS Elective) - CodeIntermediateNew
Edge-Inference Pipeline for a Smart-Factory Vibration Monitor
Architect a pipeline that runs on an ESP32-S3 + STM32 combo (provided): (1) sample 3-axis accelerometer at 3.2 kHz, (2) compute windowed FFT features on-device every 1s, (3) run…
- Edge Computing
- Embedded Systems
- Sensors And Actuators
Internet of Things and Cyber-Physical Systems - DesignIntermediateNew
Wireless Sensor-Network Design for a Vineyard Microclimate Study
Spec the network: 60 LoRaWAN sensor nodes + 2 gateways (TheThingsStack indoor + outdoor gateway choice), star topology with possible relays. Node hardware: ESP32 + LoRa + sensor…
- Sensor Networks
- Embedded Systems
- Lorawan
Internet of Things and Cyber-Physical Systems - DesignSeniorNew
OTA Firmware-Update Architecture for a 50,000-Device Smart-Meter Fleet
Design a 4-stage OTA architecture: (1) signed image build + manifest, (2) backend rollout (1 percent canary, 10 percent expand, 50 percent expand, 100 percent), (3) device-side …
- Embedded Systems
- Cyber Physical Systems
- Edge Computing
Internet of Things and Cyber-Physical Systems - DesignIntermediateNew
Real-Time Traffic-Sensor Fusion for a Smart Intersection
Design a fusion architecture: per-modality timestamping (NTP-disciplined within 50ms), per-modality confidence weighting (modality-specific noise model), Kalman-filter or partic…
- Sensor Fusion
- Cyber Physical Systems
- Edge Computing
Internet of Things and Cyber-Physical Systems - AnalysisSeniorNew
Cyber-Physical Security Audit for a Connected-Building HVAC System
Audit one representative tower's BMS: enumerate BACnet devices (network discovery + capability inventory), identify lateral-movement paths (tenant wifi -> guest network -> BACne…
- Cyber Physical Systems
- Ot Security
- Risk Management
Internet of Things and Cyber-Physical Systems
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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