Comprehensive, zero-budget, job-ready roadmaps for the fastest-growing roles in AI and revenue operations. Each roadmap is a self-contained guide covering the full journey from fundamentals to job search — built for a 5-6 month sprint with 4-6 hours of daily commitment.
| Roadmap | Description |
|---|---|
| AI Engineer | Build and ship AI-powered features using LLMs, RAG pipelines, AI agents, and production inference systems. |
| AI Governance Specialist | Design and implement AI risk frameworks, compliance controls, and oversight mechanisms for regulated AI systems. |
| GTM Engineer | Automate revenue operations — build enrichment pipelines, AI SDR agents, CRM integrations, and lead scoring systems. |
| Product Engineer | Own the full product loop — build full-stack TypeScript/Next.js apps with AI features, analytics, and real users. |
| Forward Deployed Engineer | Deploy AI solutions inside enterprise environments — integrate LLMs, build RAG pipelines, manage customer deployments from discovery to production. |
Each roadmap follows a consistent structure:
- Career Overview — Role definition, daily responsibilities, market context, salary benchmarks
- Learning Path — 3-part technical curriculum with daily/weekly study plans and hands-on projects
- Portfolio Projects — Real-world projects designed to demonstrate job-ready skills
- Job Search Toolkit — Resume templates, portfolio guides, interview prep, and application strategy
- Living Resources — Curated links to free courses, tools, communities, and reference materials
Browse the roadmap relevant to your target role. Each file is fully standalone — start at the top and work through sequentially. Projects are designed to be built with free tiers and open-source tools.
MIT