AutomateEdge · Roadmap

AI Engineer Roadmap: Complete 2026 Study Plan

The software engineer who ships AI features to production — owning prompt strategy, retrieval pipelines, evals, latency budgets, and the user-visible quality of AI-powered products.

AI Engineers are the connective tissue between foundation models and the users who depend on them. You will not train models from scratch — you will build the systems that make them useful: RAG pipelines, agentic workflows, structured-output APIs, eval harnesses, and cost-controlled inference layers. The 24-week track takes a working software engineer and turns them into someone who can own the AI layer of any product.
24 weeks 8h / week Free AI-curated

Explore the AI Engineer track

This track is organised as six deep-dive pages. Start with Skills if you are planning your learning; start with Salary if you are weighing a career switch.

Skills matrix →

The concrete skill ladder with 2026-calibrated proficiency targets.

Tools inventory →

Every tool you install in your first year, with hours-to-learn estimates.

Portfolio projects →

10-15 shippable build ideas with GitHub evaluation rubrics.

Certifications →

Free certs worth completing — ranked by employer-signal strength.

Salary bands →

US + regional comp data, 2026 Q1, refreshed quarterly.

Career path →

Entry to principal progression, with pay and promotion markers.

Ready to start?

AutomateEdge gives every learner a free, personalized study plan across the track. The platform tracks your weekly progress, evaluates your GitHub projects against the rubrics shown here, and issues a verifiable certificate when you complete the track.

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