0 curated paths. Analyze a resume to personalize your learning gaps.
Explore requirements, a personalized roadmap, free learning material and projects for each career. Resume evidence and self-reported learning progress stay separate.
Build APIs and reliable server-side applications.
Build a Flask API with PostgreSQL, input validation and automated tests.
Create responsive and accessible web interfaces.
Build a responsive React dashboard with forms, API calls and keyboard navigation.
Turn raw data into reports that support decisions.
Analyze a public dataset, write SQL queries and present a dashboard with conclusions.
Prepare data and evaluate simple predictive models.
Train a classifier on a public dataset with separate test data and a confusion matrix.
Test software and document reproducible defects.
Create a test plan, automate browser tests and test a REST API with Postman.
Support cloud services and troubleshoot systems.
Deploy a small containerized application and document networking and log troubleshooting.
Design interfaces based on user needs.
Interview three users, build wireframes in Figma and run a usability test.
Understand network security and inspect incident evidence.
Use an authorized local lab to inspect network traffic and create an incident report.
Connect accessible web interfaces to secure APIs and relational data.
Connect React to a Flask API and relational database.
Design maintainable software, reason about algorithms and test system behavior.
Design modular interfaces, persistence and regression tests.
Explore data, design experiments and communicate defensible model-based insights.
State a hypothesis, confounders and an analysis plan.
Engineer model training and production inference, beyond beginner experimentation.
Compare a neural model against a baseline and inspect failures.
Automate software delivery and operate services with reliable feedback loops.
Test and build artifacts with protected deployment gates.
Design and provision secure, observable cloud infrastructure.
Build reusable modules and review plans without billable deployment.
Clarify stakeholder needs and translate business questions into testable requirements.
Write a metric dictionary and query an example dataset.
Build accessible mobile experiences that handle offline use and device constraints.
Handle sync conflicts, permissions and connectivity failures.
Triage alerts, correlate logs and escalate incidents using operational playbooks.
Test alert rules and document false positives.
Automate reproducible ML pipelines, model delivery and monitoring.
Add quality checks and a model promotion gate.
Career recommendations and learning timelines are educational guidance based on your resume and selected goals. They are not guarantees of employment or professional competency.