Visual paths
through AI.
Transit-map roadmaps that take you from beginner to production-grade. Pick a track. Mark stations as you go. Your own pace.
Prompt Engineering Roadmap.
A visual transit-map roadmap from tokens and CRISP through chain-of-thought, RAG, and agent prompting to production monitoring. 18 stations across 3 tracks — interactive, free, your own pace.
Data Structures & Algorithms Roadmap.
A visual transit-map roadmap from Big-O and arrays through hashing, sorting, and trees to graphs, Dijkstra, A*, and dynamic programming. 18 stations across 3 tracks — seven of them fully playable. Interactive, free, your own pace.
AI Engineer Roadmap.
A visual transit-map roadmap to become an AI engineer in 2026. From how LLMs work through embeddings, RAG, agents, and fine-tuning to evals, guardrails, inference serving, and observability. 18 stations across 3 tracks — Foundations, Build, Production.
MLOps Roadmap.
A visual transit-map roadmap for MLOps in 2026. From reproducibility, data versioning, and experiment tracking through training pipelines and model serving to monitoring, drift, governance, and LLMOps. 18 stations across 3 tracks — Foundations, Pipelines, Operations.
System Design Roadmap.
A visual transit-map roadmap for system design in 2026. From APIs, databases, caching, and load balancing through sharding, queues, consistent hashing, and consensus to end-to-end designs of Twitter, YouTube, and Uber. 18 stations across 3 tracks — Fundamentals, Building Blocks, Real Systems.
Generative AI Roadmap.
A visual transit-map roadmap for generative AI in 2026. From how text and images are generated through diffusion, multimodal, sampling, and fine-tuning to evaluating, securing, and shipping generative products. 18 stations across 3 tracks — Foundations, Techniques, Production.
Backend Engineer Roadmap.
A visual transit-map roadmap to become a backend engineer in 2026. From HTTP APIs, SQL, NoSQL, caching, and auth through API design, message queues, testing, and observability to Kubernetes, CI/CD, sharding, and reliability. 18 stations across 3 tracks — Foundations, Core Backend, Production.
Frontend Engineer Roadmap.
A visual transit-map roadmap to become a frontend engineer in 2026. From HTML, CSS, layout, and JavaScript through TypeScript, React, state, and data fetching to bundlers, rendering, Core Web Vitals, and deployment. 18 stations across 3 tracks — Foundations, Core Frontend, Production.
DevOps Roadmap.
A visual transit-map roadmap to become a DevOps engineer in 2026. From Linux, networking, Git, and Docker through CI/CD, Terraform, Kubernetes, and secrets to observability, SRE, GitOps, and cost. 18 stations across 3 tracks — Foundations, Core DevOps, Production.
Data Engineer Roadmap.
A visual transit-map roadmap to become a data engineer in 2026. From SQL, Python, and data modeling through Spark, Kafka, Airflow, and dbt to data quality, governance, partitioning, and CDC. 18 stations across 3 tracks — Foundations, Core Data, Production.
Machine Learning Roadmap.
A visual transit-map roadmap to become a machine learning engineer in 2026. From math and feature engineering through regression, trees, neural networks, CNNs, and transformers to experiment tracking, MLOps, drift, and responsible AI. 18 stations across 3 tracks — Foundations, Core ML, Production.
Cloud / AWS Roadmap.
A visual transit-map roadmap to learn cloud engineering on AWS in 2026. From EC2, S3, VPC, and IAM through serverless, containers, IaC, and messaging to Well-Architected, multi-region, cost optimization, and DevOps. 18 stations across 3 tracks — Foundations, Core AWS, Production.
AI Harness Roadmap.
A visual transit-map roadmap to build an AI harness — the runtime around a model that turns it into an agent. From the messages API, tokens, and structured output through tool calling, the agent loop, context management, memory, and sandboxing to permissions, subagents, evals, observability, and cost control. 18 stations across 3 tracks — Model I/O, the Agent Loop, Production.
Forward-Deployed Engineer Roadmap.
A visual transit-map roadmap to the most in-demand AI role of 2026 — the engineer who ships AI where the customer lives. From rapid prototyping, enterprise RAG and integration glue through discovery, customer data wrangling, VPC deployment, security reviews and client evals to stakeholder craft, incidents, proving ROI, and scaling pilots into repeatable production. 18 stations across 3 tracks — The Craft, The Field, The Outcome.
Security Engineer Roadmap.
A visual transit-map roadmap to a security engineering career — from breaking systems to defending them. From the security mindset, cryptography, identity and web vulnerabilities through threat modeling, offensive security, cloud and container security, detection and incident response to DevSecOps, zero trust, securing AI/LLM systems and GRC. 18 stations across 3 tracks — Foundations, Offense & Defense, Modern Frontiers.
Platform Engineer Roadmap.
A visual transit-map roadmap to platform engineering — building the platform everyone else ships on. From Linux, networking, containers and cloud through Kubernetes, infrastructure-as-code, CI/CD, GitOps and observability to SRE, internal developer platforms, golden paths, FinOps and platform-as-a-product thinking. 18 stations across 3 tracks — Foundations, The Platform, Scale & Reliability.
Data Scientist Roadmap.
A visual transit-map roadmap to data science — turning data into decisions. From statistics, Python, SQL and EDA through supervised and unsupervised ML, feature engineering, gradient boosting and deep learning to A/B testing, causal inference, communicating results, MLOps and doing data science in the LLM era. 18 stations across 3 tracks — Foundations, Machine Learning, Impact & the LLM Era.
SRE Roadmap.
A visual transit-map roadmap to become a site reliability engineer in 2026. From Linux, networking and distributed systems through SLOs, error budgets, alerting, incident response and postmortems to reliability patterns, chaos engineering, Kubernetes reliability, automation and disaster recovery. 18 stations across 3 tracks — Foundations, Reliability Practice, Scale & Resilience.
Engineering Manager Roadmap.
A visual transit-map roadmap to become an engineering manager in 2026. From the IC-to-manager shift, 1:1s, feedback and delegation through performance management, growth, difficult conversations and culture to strategy, stakeholders, org design and managing managers. 18 stations across 3 tracks — The Transition, Leading People, Leading the Org.
QA / SDET Roadmap.
A visual transit-map roadmap to become a QA engineer or SDET in 2026. From the test pyramid, unit and integration testing and test design through UI and API automation, frameworks, CI pipelines and flaky-test control to performance, security, testing AI systems and the SDET career. 18 stations across 3 tracks — Testing Foundations, Automation, Advanced Quality.
Solutions Architect Roadmap.
A visual transit-map roadmap to become a solutions architect in 2026. From cloud fundamentals, networking and data through the Well-Architected pillars, scalability, resilience, cost and integration patterns to requirements discovery, architecture decisions, stakeholder communication and the SA career. 18 stations across 3 tracks — Foundations, Designing Systems, The Craft.
Mobile Engineer Roadmap.
A visual transit-map roadmap to become a mobile engineer in 2026. From native vs cross-platform, a language, UI, state and navigation through storage, concurrency, platform APIs, testing and offline-first sync to architecture, mobile CI/CD, app-store release, crash reporting and the mobile career. 18 stations across 3 tracks — Foundations, Building Apps, Shipping.
AI Safety Engineer Roadmap.
A visual transit-map roadmap to become an AI safety engineer in 2026. From alignment, evaluation, interpretability and threat modeling through prompt injection, guardrails, data poisoning, adversarial robustness and agent safety to policy, model documentation, responsible deployment and scalable oversight. 18 stations across 3 tracks — Foundations, Securing AI Systems, Governance & Frontier.
Agentic AI Engineer Roadmap.
A visual transit-map roadmap to become an agentic AI engineer in 2026 — the year's fastest-growing engineering title. From what an agent actually is, the agent loop, tool use, MCP and memory through planning, multi-agent orchestration, control planes, A2A interop, agentic coding and self-improvement to evals, long-horizon reliability, guardrails, security, supply chain and agentic payments. 18 stations across 3 tracks — Agent Foundations, Building Agents, Production & Safety.
AI Red-Teamer Roadmap.
A visual transit-map roadmap to become an AI red-teamer in 2026 — the offensive side of AI security, explicitly distinct from the defensive AI-safety and classic security-engineer tracks. From the AI attack surface, threat modeling and red-team tooling through prompt injection, jailbreaks, data poisoning, model extraction and agent exploitation to injection defenses, gateways, supply-chain attacks, continuous red-teaming and responsible disclosure. 18 stations across 3 tracks — Foundations, Attack Techniques, Defense & Career.
Data Analyst Roadmap.
A visual transit-map roadmap to become a data analyst in 2026, honest about the AI era. From asking the right question, SQL and data cleaning through exploratory analysis, visualization, dashboards, experiments and metric definitions to analytics engineering, the semantic layer, causal thinking and the AI-era analyst who owns judgment — not just the query AI now writes. 18 stations across 3 tracks — Data Foundations, Analysis & Communication, Advanced & AI-Era.
Design Engineer Roadmap.
A visual transit-map roadmap to become a design engineer in 2026 — the hybrid who designs and builds. From visual and interaction fundamentals, design systems and prototyping through HTML/CSS, component UI, design tokens, motion and accessibility to owning the design system, AI-assisted prototyping and the taste and craft that stay valuable when AI can generate the UI code. 18 stations across 3 tracks — Design Foundations, Code & Craft, The Design Engineer & AI Era.
Staff Engineer Roadmap.
A visual transit-map roadmap to reach staff engineer and beyond in 2026 — the individual-contributor leadership track, not management. From what staff actually means, scope and leverage and the archetypes through technical strategy, architecture at scale, driving alignment and mentoring to navigating the org, making technical bets, staying technical in the AI era and measuring staff-level impact. 18 stations across 3 tracks — The Staff Shift, Technical Leadership, Org Impact & AI Era.
SOC Analyst Roadmap.
A visual transit-map roadmap to become a security operations center (SOC) analyst in 2026 — the defensive, blue-team path. From what a SOC does, networking for defenders and the attacker playbook (MITRE ATT&CK) through logs, SIEM, alert triage, investigation and incident response to SOAR automation, the AI-assisted SOC, detecting AI-era threats and the analyst career. 18 stations across 3 tracks — Security Foundations, Detection & Response, The Modern & AI-Era SOC.
ML Research Engineer Roadmap.
A visual transit-map roadmap to become a machine-learning research engineer in 2026 — the person who builds and trains models, not just features on top of them. From the math and PyTorch, deep-learning fundamentals and reading papers through data pipelines, training dynamics, distributed training and scaling laws to post-training, evaluation, efficiency, the research process and the research-engineer career. 18 stations across 3 tracks — Research Foundations, Training at Scale, Frontier & the Craft.
Embedded Engineer Roadmap.
A visual transit-map roadmap to become an embedded engineer in 2026 — with a full edge-AI track. From embedded constraints, C and microcontrollers through memory, peripherals, RTOS, interrupts, low-power and OTA to on-device model optimization, TinyML inference on microcontrollers, NPUs and the on-device AI product and career. 18 stations across 3 tracks — Embedded Foundations, Systems & Real-Time, Edge AI & the Frontier.
Roadmaps — frequently asked questions
What is a developer learning roadmap?
A learning roadmap is a visual, transit-map-style path through a topic — a sequence of "stations" that takes you from the fundamentals to advanced, production-level skills in a sensible order, so you always know what to learn next instead of hunting through scattered tutorials.
How should I use the prompt engineering roadmap?
Follow the stations in order, from tokens and the CRISP framework through chain-of-thought, RAG and agent prompting to production monitoring. Each station is interactive and self-paced, so you can move quickly through what you know and slow down where it is new. It works as both a first pass and a refresher before an interview.
Are the roadmaps free and interactive?
Yes. Each roadmap is completely free, needs no sign-up, and is fully interactive — you can explore stations at your own pace and follow the tracks in whatever order suits you.
Who are these roadmaps for?
They are built for engineers, AI builders and anyone who wants a structured path through a topic rather than scattered tutorials — useful whether you are starting from scratch or filling gaps before an interview.
How long does a roadmap take to complete?
Each roadmap shows an estimated time and station count on its card (for example, the prompt engineering roadmap is 18 stations across 3 tracks, roughly 15 hours). They are designed to be worked through over multiple sessions at whatever pace fits your schedule.