Overview
Roadmaps help learners know what to learn now, what to skip for later, and how to connect concepts with real project execution.
Open Main Roadmap HubSee Project LibraryAI Roadmaps at a glance
Find the focus areas, practical guidance and next steps that match your goals.
Skill Progression
Map foundations, prompting, APIs, retrieval, agents, evaluation, and deployment into a realistic sequence.
Project Milestones
Attach each roadmap phase to a real project so progress becomes visible and portfolio-backed.
Career Relevance
Tie roadmap checkpoints to hiring signals, capability growth, and differentiated builder proof.
Role-Based Roadmaps For AI Careers
Each roadmap shows the role focus, timeline, core skills, projects, tools, and recommended sequence so learners can align their work with a real AI career path.
AI Engineer
Build reliable AI systems with strong grounding in retrieval, agents, evaluation, and production tradeoffs.
Recommended Sequence
- LLM and prompt basics
- Embeddings and vector search
- RAG systems
- Workflow orchestration
- Agents and tool use
- Evaluation and production hardening
Skills Mapping
- LLMs, embeddings, vector databases, and prompt engineering
- RAG architecture, agent workflows, orchestration, and evals
- APIs, backend services, async jobs, logging, and testing
- Monitoring, cost control, latency, and fallback design
Project Mapping
- document Q&A system
- internal knowledge assistant
- multi-step research agent
- evaluation dashboard for AI outputs
Tool Mapping
- OpenAI or Anthropic APIs
- Python or Node.js
- FastAPI or Express
- pgvector, Pinecone, or Weaviate
- LangGraph or orchestration tooling
- Postgres and Docker
AI Fullstack Developer
Build end-to-end AI applications across frontend, backend, and AI layers with practical product delivery skills.
- Fullstack app basics
- AI API integration
- Prompt engineering
- Retrieval and document workflows
- Production UI patterns for AI apps
- Portfolio-grade SaaS projects
- React UI flows, streaming responses, and state handling
- APIs, auth, file upload, queueing, and data models
- Prompt systems, structured output, and RAG basics
- Deployment, UX for AI interactions, and error states
- AI resume builder
- AI quiz generator
- PDF chat app
- AI SaaS starter with auth and billing
- React or Next.js
- TypeScript
- Node.js
- Supabase or Postgres
- Vercel and vector storage when needed
AI Product Engineer
Translate user problems into useful AI features, workflows, and product systems that balance capability with usability.
- User problem framing
- Prompt and workflow design
- AI feature prototyping
- RAG and context systems
- Evaluation and iteration
- Shipping productized AI experiences
- Use-case selection, UX flows, and feature scoping
- Prompting, RAG, tool use, and model tradeoffs
- APIs, event flows, analytics, and experimentation
- Evals, iteration loops, and adoption metrics
- AI onboarding copilot
- meeting notes to action-items workflow
- AI support assistant
- product-feedback analysis tool
- analytics tooling
- vector database when needed
- workflow and experimentation dashboards
AI Automation Engineer
Build AI-powered workflows that automate repetitive business and developer tasks with strong validation and integration discipline.
- Workflow basics
- Prompt-based automation tasks
- Integrations and webhooks
- Validation and guardrails
- Multi-step AI automations
- Production workflow monitoring
- Triggers, actions, branching, and retries
- Classification, extraction, summarization, and routing
- APIs, webhooks, documentation, and SaaS integrations
- Validation, fallbacks, monitoring, and human review
- email triage automation
- lead qualification workflow
- support ticket classifier
- document extraction and routing pipeline
- n8n, Zapier, or Make
- REST APIs and webhooks
- Google Workspace, Slack, or CRM integrations
- databases for logging and state
Continue your journey
Connect what you learn here with your next practical step.
01 Learning Paths02 Bootcamps03 ResourcesMove From Reading To Action
Choose your next learning or building step and put these ideas into practice.
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