Level Guides

The ability to understand and purposefully leverage AI tools to boost personal and organizational productivity. A core competency for the age of human-AI collaboration, going far beyond simple usage.

Building server-side systems — from basic CRUD APIs to distributed systems at scale.

The ability to understand core blockchain principles and design, develop, and deploy smart contracts and decentralized applications.

Designing, deploying, and operating services on cloud infrastructure while optimizing cost and security.

The ability to recognize digital threats, protect personal and organizational information, and practice safe behavior in an increasingly connected world. A foundational competency for everyone in the digital age.

Collecting, cleaning, and analyzing data to extract meaningful insights and support decision-making through statistical thinking and visualization.

The ability to design and operate pipelines that collect, transform, store, and serve data. A core competency for building the infrastructure that enables data-driven decision-making across organizations.

The ability to read, understand, create, and communicate data, transforming raw numbers and charts into meaningful insights for work and life.

Bridging development and operations to deliver software reliably at speed. Automating delivery pipelines, managing infrastructure as code, and ensuring system reliability at scale.

The ability to enter, calculate, analyze, and visualize data using spreadsheets. Spans from simple record-keeping to designing automated data models.

Building user-facing web applications — from HTML/CSS basics to large-scale frontend architecture and design system leadership.

The engineering discipline of designing, building, and evaluating models that learn patterns from data to solve real-world problems.

Building functional applications, automations, and digital products using visual development platforms without writing traditional code. Turning ideas into working software through drag-and-drop interfaces and logic builders.

Designing digital products end-to-end — from visual design and prototyping to design system management and cross-functional collaboration. Turning user needs into tangible, shippable interfaces.

Analyzing problems and translating them into computer-executable instructions. Turning logical thinking into code to build working software.

The skill of crafting and refining instructions for AI language models to produce accurate, relevant, and high-quality outputs across diverse tasks.

Systematically verifying and assuring software quality. Encompasses test design, automation, and process building to prevent defects and ensure product reliability.

Designing user experiences through research, prototyping, and iterative testing. Covers user research, information architecture, interaction design, and usability evaluation.

The skill of systematically understanding users through interviews, surveys, behavior analysis, usability tests, and JTBD frameworks, focused on generating actionable insights that inform product decisions and reduce the risk of building the wrong thing.

Systematically tracking changes in code and documents so multiple people can work at the same time without conflicts.