Free resources for developers

A six-stage path into paid remote AI data work, with a version for data annotation and one for AI trainers. It covers why models need people, the honest picture of pay, project gaps and scams, the guideline and quality skills platforms test, getting accepted, getting paid and keeping records, and moving up into reviewer, evals, data or ML roles. It suits students and graduates who want flexible remote income and read instructions carefully.

• Career
• AI
• Remote work
• Job search

An eight-stage path to earning from AI video or AI images: what clients actually buy, the creative basics AI does not replace, the tool stack, prompting for consistent results, rights and platform labels, portfolio and offers, finding clients and delivering like a professional. It suits students and early-career creatives who want a service they can sell from a laptop. By the end you can make a consistent, on-brand set of assets, check it is allowed and labelled, and deliver it in the right formats.

• Career
• AI
• Freelancing

A 10-stage path to a .NET developer job: modern C# on .NET 10, LINQ and async, ASP.NET Core, EF Core and SQL Server, Identity and JWT security, a Web API, Angular, React or Blazor front end, xUnit and integration testing, production features, and Docker, GitHub Actions and Azure. It suits students and developers aiming at banks, telecoms and enterprise software houses. By the end you can build, test, secure and ship one production-ready ASP.NET Core application and explain every choice in it.

• Web
• Backend
• Programming
• Databases

A seven-stage path for relocating for a tech job in the Gulf, Germany and the EU, the UK and Ireland, or East Asia: deciding if and where, work visas from official pages, degree attestation, a profile recruiters abroad shortlist, finding employers that sponsor, comparing offers and your first 90 days. It suits students, graduates and engineers who want a real plan instead of group-chat advice. Every stage is open on the public page, and adding it costs no credits.

• Career
• Job search
• Personal branding
• Remote work

A short, nine-stage path for picking the right database for each job in an app: describe your data first, then relational, document, key-value and cache, search, vector, columnar and warehouse, graph, time-series and object storage, each with a hands-on task, and finally managed versus self-hosted, cloud equivalents, free tiers and cost. It suits students and developers starting a project. By the end you can write a database decision for your own app and defend every choice in it.

• Web
• Databases
• Backend
• Cloud

A nine-stage path for choosing the model, hosting and tools for an AI feature on evidence rather than hype: requirements first, reasoning versus fast models, cost per task, context and retrieval, tool calling and MCP, API versus open-weight models, the rest of the stack, a three-model comparison on your own data, and routing and fallbacks in production. It suits developers, students and founders about to build with an LLM. By the end you can defend a model choice with your own numbers and switch in a day.

• AI
• Backend

A nine-stage path for securing LLM apps and AI agents, or testing them as a red-teamer, with one path for each: security foundations, how LLM apps break, the OWASP LLM and agentic lists and MITRE ATLAS, layered defences against prompt injection, agent, tool and MCP security, the data and model supply chain, red-teaming and security evals, monitoring and incidents, and a route into the work. It suits developers and security learners who can already build. By the end you have a practice app defended or assessed end to end.

• AI
• Security
• Testing
• Career

An eight-stage path into AI governance, with a technical edition and a policy and compliance edition: the EU AI Act, NIST AI RMF, ISO/IEC 42001 and regional AI policies, an AI inventory with risk tiers and owners, data foundations and data protection, model assurance, human oversight, compliance and audit, and a route into the field. It suits engineers and data people as well as law, risk, audit and business graduates. By the end you can produce the documents governance depends on, with dated sources.

• AI
• Career

A nine-stage path from how cloud billing works through tagging, allocation and unit costs, commitments and spot, rightsizing and waste, forecasts and anomaly alerts, AI and GPU spend, the FinOps Framework and FOCUS, to working with finance, on AWS, Azure or Google Cloud. It suits cloud and DevOps engineers, analysts and students who want to explain and reduce a cloud bill. By the end you can read a bill line by line, allocate it to teams, buy commitments safely, cut waste and run a monthly cost review.

• Cloud
• DevOps
• Career

The revision companion to Sefism's AI agents and MCP roadmap: ten chapters on the agent loop, tool calling, structured output, memory, multi-agent patterns, frameworks, building MCP servers, evals, guardrails and shipping. It comes in Python and TypeScript editions with working snippets in each. It suits developers who already call model APIs and want to revise a concept quickly, copy a working shape or catch the classic mistake before users do.

• AI
• Programming
• Web

A quick-revision book on building features with LLM APIs: tokens, prompts, streaming, structured output, tool calling, embeddings and RAG, caching, batching, cost, evals and security, in 8 chapters and 56 concepts. It comes in OpenAI, Anthropic and Gemini editions, each showing the same ideas with that provider's official Python SDK. It suits engineers who can already call an HTTP API in Python and now need their AI features to be reliable, affordable and safe.

• AI
• Backend
• Programming

Jeff Su, a full time product marketer, makes short, well structured videos on workplace productivity, Google Workspace, Notion, LinkedIn and practical use of AI tools. Each video is a tight list of tips you can apply the same day. It suits students and early career professionals, including developers, who want to work faster and present themselves better at work.

• Career
• AI
• Personal branding

Brad Traversy's long-running channel of practical web development tutorials: HTML, CSS and JavaScript crash courses, React and Vue, Node.js, Python and PHP back ends, and many full project builds. The style is calm, project-first and easy to follow. It suits beginners and self-taught developers who learn best by building a complete app alongside the video.

• Web
• Backend
• Programming
• Frontend

The video home of The Pragmatic Engineer Podcast, where Gergely Orosz holds long conversations with engineers, founders and engineering leaders about how software actually gets built, how careers grow and how AI is changing the work. Episodes are slow, detailed and practical. It suits working developers from a couple of years in up to engineering managers who want an honest view of the industry rather than hype.

• Career
• Leadership
• AI

Tutorial-style videos on electronics and computer architecture, best known for building an 8-bit computer and a 6502-based computer on breadboards, one wire at a time. There are also series on digital electronics, networking and error detection. It suits anyone who wants to understand how a computer actually works from logic gates up.

• CS fundamentals

A seven-stage plan for looking for a software job on purpose instead of mass applying: choose a target role, level and tiered company list, build a one-page resume and proof of work, apply through referrals and short messages with a tracked weekly rhythm, get ready for the technical and behavioural rounds, and compare and negotiate offers. It suits final-year students, graduates hearing nothing back and experienced engineers changing company. At the end you have a search you can measure and a researched number when the offer arrives.

• Career
• Job search
• Personal branding

A revision reference for personal branding as an engineer, in 6 chapters and 46 concepts: niche and positioning statement, a profile that works as a landing page, hooks and posts people read, a posting rhythm with a swipe file, networking through comments and weak ties, and the metrics worth tracking instead of vanity numbers. It follows the Sefism LinkedIn and personal branding roadmap stage for stage. Use it to check a draft post or profile section before you publish.

• Career
• Personal branding

Fast, dense, funny videos by Jeff Delaney on web development, programming languages, AI tools and tech news. Home of the 100 Seconds of Code explainers and The Code Report. It suits any developer who wants a quick, accurate picture of a tool or a trend before deciding whether to spend real time on it.

• Web
• Programming
• Frontend
• AI

Nana Janashia, a Docker Captain and AWS Container Hero, teaches DevOps and cloud with clear diagrams and long, structured tutorials on Docker, Kubernetes, CI/CD, Terraform, Prometheus and more. Short "explained in 5 minutes" videos sit alongside full beginner courses. It suits developers and students moving into DevOps, cloud or platform roles.

• DevOps
• Cloud

A seven-stage path for developers and sysadmins who want to own how software is built, shipped and kept running: Linux and Bash, networking, Docker, AWS service by service, Terraform and GitHub Actions, Kubernetes with Helm and Argo CD, and observability with incident response. One application grows through the stages. By the end you can take it from a Git repository to a monitored, automatically deployed service on AWS and Kubernetes, and run the incident when it breaks.

• DevOps
• Cloud

A 10-stage path for developers who can already call a model API and want to build agents that hold up in real use, in Python or TypeScript. It covers the agent loop by hand, structured output, memory and state, multi-agent patterns, LangGraph and the OpenAI and Claude agent SDKs, building and publishing an MCP server, evals, guardrails against prompt injection, and tracing and shipping. You finish with an evaluated, limited, traced agent and an MCP server a reviewer can try.

• AI
• Programming
• Web
• Backend

A quick-revision companion to the Sefism frontend roadmap in ten chapters: how the web works, semantic HTML and accessibility, CSS layout, JavaScript the language and in the browser, Git and build tooling, your framework, TypeScript and testing, performance and security, and shipping a real product. It comes in React with Next.js, Vue with Nuxt and Angular editions, each concept with a short example and the common mistake. Skim a chapter before a project or a technical conversation, and follow the links when a concept needs depth.

• Web
• Frontend
• Programming

A quick-revision book on the Model Context Protocol for engineers building AI apps: hosts, clients and servers, JSON-RPC messages and lifecycle, transports, tools, resources and prompts, client features, OAuth for remote servers, building and testing servers with the official SDKs, security and tool design. It reflects the 2026-07-28 revision of the specification and notes what older revisions did differently. Use it while building or reviewing an MCP server, alongside the AI agents and MCP roadmap.

• AI
• Backend

A quick-revision companion to the DevOps and cloud roadmap in ten chapters: Linux and Bash, Git workflows, networking, Docker, the core AWS services, Terraform, CI/CD pipelines, Kubernetes and GitOps, observability and incident response, and security basics. It has 79 concepts, command and config snippets where they help, nine rules of thumb and a 142-term glossary. Use it to refresh a command or concept before you touch a server, a pipeline or a cluster.

• DevOps
• Cloud