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AI ENGINEER COMPLETE RESOURCE 2026
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GenAI / LLM Engineering | Beginner to Advanced | Global edition | Let's Code | lets-code.co.in
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Follow me on X for more resources : Avinash Singh
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WHAT THIS IS
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A single, exhaustive vault of everything needed to go from zero to a hireable GenAI / LLM engineer. Every sheet is filterable. Every link is a full, visible https URL you can click or copy.
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HOW TO USE IT
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1. Open 'Roadmap' first. It sequences the whole journey into phases with a milestone for each.
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2. Use 'Skills Matrix' as your checklist. Filter by Level to see what is Foundation vs Core vs Advanced.
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3. Pull resources from 'Free Courses', 'YouTube', 'GitHub Repos', 'Books & Docs' as each phase demands them.
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4. Build from 'Projects'. Nothing on this list gets you hired without shipped, public work.
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5. 'Research Papers' is sorted by priority. Start with the Must read rows only. Ignore the rest until later.
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6. 'Interview Prep' and 'Companies Hiring' are for the final phase. Do not start there.
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THE HONEST ADVICE
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Do not try to consume all of this. It is a reference library, not a syllabus. Most people fail by collecting resources instead of finishing three of them.
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Everything here is global. Courses, repos, papers and tools are language- and region-neutral; the hiring sheet spans North America, Europe, the UK, India, Israel, Japan, Singapore, Australia and remote-first employers.
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Pick one course per phase, finish it, build the project, then move on. Depth in five resources beats surface contact with five hundred.
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Entry-level roles are getting harder, not easier. What separates candidates now is shipped work with measured results, not certificates.
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BUILT BY
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Avinash Singh, founder of Let's Code (lets-code.co.in): free AI career tools, 1000+ resources and a community of 100k+ engineers.
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Follow on X for updates and new resource drops: https://x.com/AvinashSingh_20
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See the Lets Code Resources sheet for the full free toolkit, and Communities for where to join.
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LEVEL KEY
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Foundation = you cannot skip it. Core = expected in every GenAI job description. Advanced = differentiators and depth signals. Optional = breadth, chase later.
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CONTENTS
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#SheetWhat is in itEntries
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1Skills MatrixEvery GenAI engineer skill, with why it matters and how it is tested92
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2RoadmapPhase-by-phase plan from zero to job-ready, with milestones14
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3Free CoursesFree and audit-free courses across the whole stack89
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4YouTubeSpecific playlists and videos, with a search fallback for each63
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5GitHub ReposCurated collections: awesome lists, course repos, cookbooks102
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6Research PapersPapers that matter, tagged by reading priority85
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7Books & DocsBooks, official documentation, and the blogs worth following40
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8Tools & FrameworksThe actual working stack, by category94
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9ProjectsPortfolio builds with what each one proves to a recruiter35
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10Datasets & PracticeDatasets, benchmarks and free compute39
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11Interview PrepGenAI-specific interview questions and what they test59
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12CommunitiesCommunities, newsletters and podcasts38
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13Companies Hiring150+ companies hiring AI talent across every major region172
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14Lets Code ResourcesFree AI tools, prep material and community from Let's Code27
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TOTAL RESOURCES949
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