Close the gap. One role at a time.

See who is pursuing the role — team, community, or outside — then expand anyone into their skills chart.

Roles

Trusted by Learners from the World's Top Institutions

University of OxfordUniversity of CambridgeImperial College LondonUCLUniversity of EdinburghKing's College LondonUniversity of ManchesterLSEETH ZurichStanford UniversityMITUC BerkeleyHarvard UniversityNUSUniversity of TokyoUniversity of OxfordUniversity of CambridgeImperial College LondonUCLUniversity of EdinburghKing's College LondonUniversity of ManchesterLSEETH ZurichStanford UniversityMITUC BerkeleyHarvard UniversityNUSUniversity of Tokyo

Problem

Scattered training does not close skill gaps.

Every role has hidden competencies. Map them once, then track who is building them and who still needs support.

Pursuits

See who is pursuing the role. Then expand into their skills chart.

CandidateScopeLearning planProgressReadinessLast active

Aisha Patel

aisha@mifflin.tech

Team

Senior Frontend Engineer

In progressReady2 hours ago

Skills vs role lens

Senior Frontend Engineer

Now
Job requirements
40%100%ReactSystem DesignTestingPerformanceAccessibilityTypescript

Ben Carter

ben@community.elandi

Community

Senior Frontend Engineer

StartedNot ready1 day ago

Chloe Okonkwo

chloe@external.dev

Outside

Senior Frontend Engineer

CompletedReady3 days ago

Daniel Ruiz

daniel@mifflin.tech

Team

Senior Frontend Engineer

In progressNot ready5 hours ago
Catalogue

Role tracks your team can pursue together

Assign a shared role journey, then see who is building the competencies and who still needs support.

View all plans

Teams

Proven plans curated for fast starts

Data Vendor Analyst
Role
12 Modules 165 Questions GR

Data Vendor Analyst

A comprehensive 12-week cohort-based learning plan designed to prepare teams for the ISM Certified Professional in Supply Management (CPSM) certification exam while building practical skills for Data Vendor Analyst and Vendor Management Analyst roles. This plan integrates CPSM exam content (165 multiple-choice questions, 180 minutes, 70% passing score) with hands-on practice in vendor scorecards, SLAs/KPIs, contract management, sourcing, negotiations, supplier relationship management, risk/compliance, Excel, SQL, data quality, governance, and reporting. Includes diagnostic assessments, progressive content modules, practice quizzes, scenario-based assignments, and a final review week with mock exam. Structured for weekly cohort delivery with facilitator guidance and differentiated pathways for beginner and intermediate learners.

Data Science
Quantitative Researcher
Role
13 Modules 180 Questions GR

Quantitative Researcher

Template plan to prepare a team for a Quantitative Researcher – Fundamental Equity Research role, aligned to CFA Program Level I exam readiness while building practical quant equity research capabilities (factor research, backtesting, portfolio construction, risk, and research communication). Rolling cadence (no fixed exam date) with diagnostics, projects, question-bank routines, and mock exams.

Data ScienceFinance
Back Office Software Engineering
Role
11 Modules 100 Questions GR

Back Office Software Engineering

A comprehensive 8-12 week modular program designed to prepare backend engineers for the Oracle OCP Java SE 17 Developer (1Z0-829) and Microsoft Azure Developer Associate (AZ-204) certifications while building practical competence in post-trade and back-office systems. The plan integrates certification exam objectives with hands-on experience in trade processing, reconciliation, corporate actions, real-time position calculation, and reporting systems. Includes parallel certification tracks, weekly study cadence, labs, practice exams, team rituals (study groups, code reviews, mock exams), checkpoints, remediation paths, and a capstone project simulating a real-world back-office platform.

Cloud ComputingDevOps +1
Machine Learning Researcher
Role
12 Modules 55 Questions GR

Machine Learning Researcher

A comprehensive 12-week learning plan designed to prepare for both AWS Certified Machine Learning – Specialty (MLS-C01) and Google Cloud Professional Machine Learning Engineer certifications. This plan follows an overlap-first approach, covering shared ML concepts before addressing platform-specific differences. It includes diagnostic assessment, optional refresher tracks, hands-on labs using free-tier resources, research-oriented practices, and a 2-week exam simulation phase. Structured for part-time study alongside work with emphasis on applied practice, MLOps, and exam readiness.

Artificial IntelligenceCloud Computing +1