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Learning Paths

Roadmaps for your transition

Each path is a curated sequence of notes that builds from your developer foundation to your target AI role — in the right order, with nothing skipped.

PATH 01

Developer to AI Engineer

The complete roadmap for software developers transitioning into AI engineering roles.

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PATH 02

Developer to GenAI Engineer

Everything a developer needs to build with generative AI: LLMs, prompting, RAG and agents.

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PATH 03

LLM Engineering Roadmap

From tokenisation to fine-tuning, deployment and inference optimisation.

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PATH 04

RAG Engineer Roadmap

Embeddings, vector databases, retrieval pipelines and RAG evaluation.

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PATH 05

AI Agent Engineer Roadmap

Tool use, planning, orchestration and production agent systems.

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PATH 06

GenAI Interview Preparation

Handwritten answers, diagrams and code for GenAI technical interviews.

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From Developer to AI Engineer. Practical handwritten notes for developers mastering AI, GenAI, LLMs, RAG and AI Agents.

priyesh.singh.x7fy@woolf.educationLinkedIn — Priyesh Pratap Singh

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