@bashifuirkashi: How I'd become an AI engineer in 45 days, whether you're working a 9 to 5 or studying full time. Here's what's inside: 1️⃣ Week 1: LLM fundamentals, APIs, prompting, and function calling. You ship working code on day one, not notes. 2️⃣ Week 2: RAG. Embeddings, chunking, vector databases, retrieval. This is where most AI engineering work actually lives. 3️⃣ Week 3: Agents, integration, and orchestration. Tool calling, LangGraph, and your first real agent. 4️⃣ Week 4: Ops and evaluation. Evals, tracing, cost and latency. The skill most candidates fake and the fastest way to look senior on a resume. 5️⃣ Week 5: Safety and ethics. Guardrails, red teaming, and the answers hiring managers are actually listening for. 6️⃣ Week 6: ML foundations, last, on purpose. You don't grind math for months before you see progress. You build first, then the theory has something to attach to. 7️⃣ Days 43 to 45: your Signal Project and the get hired plan. Deploy it, write the README, turn the repo into resume bullets and interview stories. Two tracks are built into every week. The 9 to 5 track runs 1 to 2 hours a day. The student track runs 3 to 5. Same destination, different pace. Comment "Ai" and I'll send you the free guide + a link to join an AI engineer community where you can get a personalized roadmap: weekly calls with AI/ML engineers and recruiters, and everything you need to land an interview and job in 90 days.

Bashi | Software Engineer

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Tuesday 11 August 2026 21:10:14 GMT