All courses
56 courses are open now and 0 more are on the way. Every one is free, with a podcast for each lesson and a certificate at the end.
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Level
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56 of 56 courses
System Design
- How the Web WorksFollow one request from a phone to a server and back, design APIs that survive real networks, and put numbers on speed, load and reliability.
- SQL & Data ModelingDesign PostgreSQL tables that keep every fact in one place, write the SQL behind real reports, make queries fast with the right indexes, and keep data correct under concurrent writes and live schema changes.
- Databases at ScaleKeep a growing Postgres database fast, safe and recoverable with partitioning, replicas, sharding, backups, daily operations and the right extra data stores.
- Scaling Building BlocksLearn the building blocks that let an app grow from one server to millions of users: load balancers, caches, object storage and CDNs, queues, rate limits and real-time updates.
- Distributed SystemsLearn how to keep data correct and apps working when your system runs on many machines that can disagree, fail and lose touch with each other.
- Running Software in ProductionLearn to see what your software is doing in production, keep it secure, and ship changes safely with a rollback that takes one command.
- System Design Case StudiesLearn to run a design review, then use it on three complete case studies at Mangrove Market: a URL shortener, offline sales sync from store tills, and ordering that never oversells.
- Inside the Tech GiantsTake apart Google Search, Facebook, Instagram, WhatsApp, Uber, Amazon, Netflix, ChatGPT and Claude from public sources, rebuild the core idea of each at small scale, and learn which ideas to copy at your own size.
Developer Foundations
- Your Developer SetupSet up a professional developer workstation on Windows or macOS, get comfortable in the terminal and VS Code, and add the team tools that keep everyone's code consistent.
- Git from the InsideUnderstand how Git really works, from snapshots and the staging area to branches, conflicts, safe history rewriting, undo and the objects inside .git, by running every command yourself.
- GitHub for TeamsWork on a shared codebase the way strong teams do: push and pull safely, review pull requests, ship releases and hotfixes, plan in GitHub Projects, and let GitHub Actions check and deploy every change.
- JavaScript Deep DiveLearn how JavaScript really behaves, from values and closures to the event loop and async code, by fixing real bugs in a grocery chain's apps.
- JavaScript in the Real WorldTake JavaScript from the language to real projects: the browser, npm, TypeScript, Node APIs, performance and security.
- React for the WebBuild fast, accessible web front ends with React 19 and Next.js: components, state, data loading, forms and tests.
- Building APIs with Node.jsDesign and build a production-ready REST API with Node.js, TypeScript, NestJS and PostgreSQL.
- Ship a Project End to EndTake one small app from issue to tagged release and hotfix, write the playbook your team ships by, and work safely with AI coding assistants.
- Software Development: Idea to AppPlan, build, test and ship a real app, from a one-page spec to users' phones, and learn from what they do with it.
Product Management
- Product Thinking FoundationsLearn what a product manager really does, and how to turn any request into a clear problem, a map of the people involved and a value case checked against the four risks.
- Product DiscoveryFind out what users really need before you build, with story-based interviews, field visits, honest synthesis, cheap tests and one-day AI prototypes.
- Strategy, Priorities & RoadmapsTurn a pile of requests into a clear strategy, outcome goals, a priority order that holds up in the meeting, an honest roadmap and sound build-or-buy decisions.
- From Spec to LaunchTake a validated idea all the way to an adopted feature: specs people read, testable stories, design reviews, honest estimates, vendor contracts that protect you, and launches that end in a decision.
- Metrics & Product AnalyticsPick the numbers that matter, read funnels and cohorts, trust your data, run experiments and pilots, and turn a metric drop into a decision.
- The Business of ProductCheck that every order, customer and investment makes money: unit economics, business cases a managing director will sign, pricing and packaging, and marketplaces with real moats.
- Growth & AdoptionGrow a product the right way round: prove product-market fit first, get new users to value fast, build habits without dark patterns, and grow through loops and local launches that pay for themselves.
- Internal Tools, Operations & PlatformsRun the apps that stores, warehouses, riders and back offices depend on as real products: value in minutes and money, designs that work on the shop floor, clean data across systems, rollouts to hundreds of sites, and calm incidents.
- Product Teardowns & Idea LabTake real products apart to see the decisions behind them, then find, size and pitch new software and feature ideas of your own.
- AI Product ManagementDecide where AI belongs, design AI features people can trust, measure their quality with evals, and roll out operations agents that earn their autonomy and pay for themselves.
- Communication & LeadershipWrite memos that get a decision in one meeting, present answer-first to a managing director, lead people who don't report to you, prepare for PM interviews and grow as a PM or product leader.
AI Engineering
- Vibe Coding: Build Apps with AIBuild and ship a real app by describing it to AI coding tools, and learn enough to review, fix and secure what they write.
- LLM Apps: Prompts, RAG and EvalsBuild reliable features on large language models: prompts, structured output, tool calling, retrieval (RAG) and evaluation.
- AI Systems for BuildersLearn how AI features really work, how the biggest models are served, and how to build and code with AI safely.
- Building AI AgentsDesign, build and evaluate AI agents that use tools and real data safely, from a first prototype to production.
- AI Engineering in ProductionRun AI features and agents at scale: observability, guardrails, model routing, fine-tuning choices, red-teaming and governance.
Data
- Data Analysis with Excel, Python & AIGo from a vague question to a clear answer: clean and pivot data in a spreadsheet, repeat the analysis in Python with pandas, check an AI assistant's work and write a one-page answer people act on.
- Statistics for Data WorkThe statistics analysts and data scientists use every week: honest summaries, confidence intervals, hypothesis tests, A/B tests, regression and the traps that fool smart people.
- Dashboards and Business IntelligenceModel data for reporting, define metrics once, design dashboards around decisions and keep them fresh, tested and trusted.
- Data Science and Machine LearningFrame business problems as models, build them with Python and scikit-learn, and prove they beat a simple rule.
- Machine Learning in ProductionTake models from a notebook to a reliable service: pipelines, deployment, monitoring, drift and retraining (MLOps).
Engineering Roles
- TechOps: Linux, Networks and IT OperationsKeep a company's technology running: Linux, shell scripts, networks, accounts and MFA, a fleet of devices, and a service desk that handles incidents and changes well.
- DevOps: CI/CD, Containers and Infrastructure as CodeAutomate the path from commit to production: CI pipelines people trust, small safe containers, Kubernetes basics, infrastructure as code, safe releases, a secure supply chain and the DORA metrics.
- Site Reliability EngineeringRun reliable services with SLOs and error budgets, OpenTelemetry observability, burn-rate alerts, calm incident command, blameless postmortems, capacity planning and less toil.
- Database Administration with PostgreSQLKeep production PostgreSQL fast, safe and recoverable: how the server works inside, tested backups, replication and failover, tuning, security, upgrades and on-call.
- Software Testing and QAFind the bugs that matter: test design, exploratory testing, API and accessibility checks, and bug reports developers love.
- Test Automation and Quality EngineeringAutomate the right tests: unit, API and end-to-end with Playwright, contract and performance tests, all running in CI.
- Mobile Apps with React NativeBuild, test and ship iOS and Android apps with React Native and Expo: navigation, offline data, push and store releases.
Cybersecurity
- Security FoundationsHow attacks work and how organisations defend: threats, identity, cryptography, networks, cloud and the human side.
- Application Security for DevelopersBuild software that resists attack: the OWASP Top 10, threat modelling, secure code review, supply chain and AI app risks.
- Defensive Security: SOC, Detection and ResponseWork in a security operations centre: logs and SIEM, detection rules, alert triage, threat hunting and incident response.
- Offensive Security: Ethical Hacking and PentestingPlan and run a legal penetration test: scoping, reconnaissance, web and network attacks, privilege escalation and reporting.
Architecture
- Software and Solution ArchitectureMake and explain architecture decisions: quality attributes, styles, integration, cloud, cost and governance that lasts.
- Business and Enterprise ArchitectureConnect strategy to systems: capability maps, value streams, application portfolios, target states and roadmaps.
Business & Finance
Leadership
- From Engineer to Tech LeadLead the technical work of a team: direction, design reviews, delegation, mentoring, predictable delivery and a working partnership with product and engineering management.
- Engineering ManagementLead people and teams: 1:1s, feedback and coaching, structured hiring, fair performance management, team design, delivery health, and managing up and across.
- Leading a Tech Department: Head of Engineering to CTORun technology for a whole organisation: strategy, organisation design, budgets and vendors, risk and security governance, AI adoption, and the board and executive team.