Learning Hub
Turn hundreds of hours of content into a clear, level-based path.
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Across foundations, build, workflow, and the four specialization tracks.
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Start Here
New to coding? Follow this path for the best learning experience.
Recommended order
Follow this sequence so each step prepares you for the next one.
Choose your learning style
This changes the teaching tone (patterns vs docs vs interview narration).
Docs-Driven Specializations
Frontend, backend, and AI tracks now sit as specialization lanes: read the docs, compress the mental model, clear checkpoints, then unlock assessment and certificate eligibility.
Frontend Specialization
Turn UI docs into stronger rendering decisions, reusable components, design systems, and release-safe interfaces.
Docs lens: MDN, React, Next.js, accessibility guidance, and design-system contracts.
Start the track to begin working toward the specialization certificate.
0/10 lessons completed
Backend Specialization
Translate API and database docs into service contracts, query discipline, observability, and reliability habits.
Docs lens: HTTP and API contracts, database indexing guidance, auth flows, queues, and monitoring docs.
Start the track to begin working toward the specialization certificate.
0/10 lessons completed
Agentic AI Specialization
Bias-free agentic AI engineering grounded in official docs from Anthropic, OpenAI, Google, Meta, Mistral, MCP, and Ollama — plus Cursor, Aider, and GitHub Copilot for the coding-agent landscape.
Docs lens: ReAct foundations, current model families, prompt caching, vision, MCP (2025-11-25), the Claude Agent SDK, the modern coding-agent landscape, prompt-injection defense, and a grounded production capstone.
Start the track to begin working toward the specialization certificate.
0/21 lessons completed
Foundations
How the web works, HTML, CSS, and your first page.
By the end: Build a stronger mental model for computers, code, and the web before you start shipping projects.
Build Your First Website
Plan, structure, style, and ship a polished landing page with real layout decisions.
By the end: Build a complete responsive landing page with semantic HTML, CSS layout, and JavaScript interactions.
Forms Basics
Build a form, submit it, and pass a quick quiz.
By the end: Create accessible, validated forms that handle user input correctly.
Developer Workflow Path
Local development, Git, GitHub, branch policy, testing, CI/CD, and release lifecycle.
By the end: Ship code through a real engineering workflow from laptop to reviewed PR to tested release.
Frontend Engineer Path
Docs-driven UI architecture, design systems, visual language, data flows, performance, and production delivery.
By the end: Ship frontend systems with stronger semantics, reusable design patterns, rendering choices, and release safety.
Backend Engineer Path
Docs-driven service contracts, persistence, indexing, auth, async work, monitoring, observability, and reliability.
By the end: Build backend services that are operable, query-efficient, secure, and production-ready.
Agentic AI Engineer Path
Bias-free, foundation-first agentic AI: ReAct origins, current models (Claude 4.x, GPT-5, Gemini, Llama), prompt caching, vision, MCP, the Claude Agent SDK, the coding-agent landscape, and prompt-injection defense.
By the end: Design and ship AI systems that are grounded, cached, measurable, cost-aware, defended against prompt injection, and useful in production.
Algorithms Coach
Patterns with checkpoint questions and “why it works” bridges.
By the end: Recognize and apply core algorithm patterns to new problems.
Practice Lab
Write code, run tests, and learn the patterns faster.
By the end: Solve timed coding drills with confidence and accuracy.
Full-Stack Curriculum
A 12-week path plus frontend, backend, AI, SDE, data, and DevOps role tracks.
By the end: Complete a structured learning plan, then specialize into the engineering path that matches your goals.
System Design Game
Architecture choices with tradeoffs, then a quiz.
By the end: Design scalable systems and defend your architecture decisions.
Docker Quest
Containerize, optimize, ship — then validate with a quiz.
By the end: Containerize any application and optimize images for production.
Kubernetes Quest
Pods → deployments → services → scaling, then quiz.
By the end: Deploy and scale containerized apps with Kubernetes.
Deployment Strategies
Vercel vs serverless vs hybrid — pick with confidence.
By the end: Choose and implement the right deployment strategy for any project.