Preview the public course catalog before you sign in. Each path shows what you will learn, how many lessons are included, and where hands-on practice appears after the lesson explanation.
4 course paths ready for guided learning.
5 course paths ready for guided learning.
4 course paths ready for guided learning.
This class is a sequence of hosted rooms with Python starter code, Run Code, Check Work, plain-language output and error feedback, saved notes, and a portfolio capstone room for a progress tracker/reporting tool. The final proof connects to realistic assistant, trainee, and Python internship paths. No local setup is required to begin.
Pick a path by outcome, not just title. Each card shows lessons, review checks, and practice work.
Course path
A beginner-to-intermediate Python path with browser practice, Check Work, debugging feedback, and a portfolio capstone: a progress tracker/reporting tool for realistic entry-level lanes like data/reporting, operations automation, support automation, QA, technical assistant work, and Python internships.
Course path
Build practical security fundamentals: classify threats, design layered controls, implement access protections, operate incidents, and explain risk decisions.
Course path
Learn authorized security assessment workflow: scope, reconnaissance, validation, evidence handling, reporting, remediation, and defender handoff.
Course path
Use Kali Linux as a controlled security lab workstation: prepare scope, collect evidence, document tools, and prove safe workflows before advanced testing.
Course path
Practice defensive security operations: triage alerts, read SIEM evidence, map threat intelligence, operate incidents, preserve evidence, and hunt for suspicious behavior.
Course path
Use Python for safe security automation: parse logs, model scoped network checks, handle HTTP evidence, reason about hashing, build defensive helpers, and validate risky input.
Course path
Build AI agents with clear goals, prompt contracts, retrieval boundaries, tool permissions, evaluation checks, and production runbooks.
Course path
Build practical AI application judgment through prompts, structured outputs, internal API-powered AI interaction, retrieval, workflows, guardrails, evaluation, and portfolio proof.
Course path
Build production-grade AI systems through data contracts, pipelines, feature plans, validation, deployment monitoring, and scaling runbooks.
Course path
Build Python web applications from request handling through APIs, databases, authentication, testing, and deployment.
Course path
Build complete web applications from browser structure through React views, APIs, databases, deployment, and portfolio proof.
Course path
Build modern frontend interfaces with JavaScript foundations, components, routing, data flow, performance, testing, accessibility, and portfolio proof.
Course path
Run applications with Linux, containers, Kubernetes, CI/CD, infrastructure as code, and observability evidence.