
Practice with guided labs, real-world projects, and clear learning paths in AI, software engineering, and security.
Which jobs AI is replacing. Which skills protect you. Which new roles pay the most.
18 pages. Free.
Answer a few questions and get a clearer next step for your career in a minute.
Review code execution and output in the sandbox. Use the controls below to explore how the environment responds.
Each public track preview is based on the live career track data and highlights the exact learning outcomes, modules, and capabilities you can expect.
Security engineers, adversarial ML practitioners, and AI resilience teams.
Train to protect deployed AI systems, defend against model attacks, and harden ML pipelines for enterprise readiness.
Developers moving from frontend or backend into full stack AI-enabled product delivery.
Build modern AI-ready applications with Next.js, server APIs, database integration, and secure deployment patterns.
Operations engineers, SREs, and platform teams focused on production-grade delivery.
Own the end-to-end reliability of AI systems, from container orchestration to monitoring, incident response, and scalable operations.
Product managers, developers, and AI practitioners who need practical prompt workflows.
Master prompt design, evaluation, and retrieval-augmented generation for real-world AI applications.
Decemble is built to support people navigating the AI economy with clear, practical learning paths and applied projects.

Inject variables, construct classes, and compile logic in a highly optimized sandbox. Secure, isolated runtime output.

Deploy custom guards against poisoning vectors, FGSM input models, and inference leaks. Model defense coordinates.

Dockerize multi-stage pipelines, manage secure namespace access in Kubernetes, and monitor Prometheus logs.

Audit skill indices, pinpoint sector transitions, and compile dynamic ATS-optimized resumes instantly.
This public page surfaces only the preview layer of our curriculum. The full learner experience and detailed syllabus live inside the authenticated dashboard and Supabase-backed track flow.
A visual-first on-ramp for non-coders: block metaphors, simple Python, mini-games, and capstone projects.
Establish foundational statistics, Python data structures, and baseline classifiers. Perfect for beginners: learn algorithms and data manipulation verbatim from absolute scratch.
Architect robust backend systems, databases, and APIs. Connect relational databases and build secure, production-grade logic servers from scratch.
Build multilayer neural networks. Understand backward propagation equations and gradient flows.
Operations engineering at scale. Setup Docker networks, Kubernetes orchestrators, and system logging monitors.
Defend models against operational attacks. Study model extraction, membership inference, and adversarial attacks.
We are keeping Decemble open and accessible while we continue building the learning experience. Sign up today and start training without paying anything.