{
 "schema_version": 1,
 "generated": "2026-10-20",
 "repo": "amitshekhariitbhu/ai-engineering-course",
 "name": "ai-engineering-course",
 "owner": "amitshekhariitbhu",
 "slug": "amitshekhariitbhu-ai-engineering-course",
 "github": "https://github.com/amitshekhariitbhu/ai-engineering-course",
 "what": "A free, step-by-step AI Engineering course in Markdown, with 18 modules and 146+ lessons from machine learning basics through LLMs, RAG, agents, inference, evaluation, safety, and system design.",
 "why": "",
 "language": "Markdown",
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  "Basic programming knowledge, preferably Python, for the code examples",
  "Time to read lessons in order, module by module"
 ],
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 "risk": "none",
 "section": "earlier",
 "weekly_rank": null,
 "category": "Research",
 "url": "https://dedupedai.com/use-cases/amitshekhariitbhu-ai-engineering-course/",
 "use_case_count": 4,
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   "title": "Map a step-by-step learning path into AI engineering",
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  {
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   "title": "Prepare for AI engineer interviews with course material",
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  {
   "id": "amitshekhariitbhu-ai-engineering-course--choose-llm-serving-stack",
   "title": "Compare LLM serving tools before picking one",
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  },
  {
   "id": "amitshekhariitbhu-ai-engineering-course--study-rag-pipeline-design",
   "title": "Design a RAG pipeline from the retrieval lessons",
   "best": false,
   "url": "https://dedupedai.com/use-cases/amitshekhariitbhu-ai-engineering-course/study-rag-pipeline-design/",
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  }
 ],
 "disclaimer": "Third-party repos we don't own or vouch for. AI-generated use cases can be wrong: review everything and run at your own risk."
}