I need structured, beginner-friendly coaching that will take me from “hello world” to employable in Natural Language Processing. My goal is to understand core NLP concepts, build a small portfolio of projects, and feel confident discussing them in interviews. I already code a little in Python but have no formal NLP background. I’d like to cover the foundations—tokenisation, embeddings, transformers—then progress to hands-on mini-projects using libraries such as spaCy, Hugging Face, TensorFlow or PyTorch. Guidance on best practices for data preprocessing, model selection, evaluation and error analysis is essential, along with tips on how to present this work in a résumé or GitHub repo. Deliverables I have in mind: • A personalised learning roadmap with milestones • Live or recorded sessions focused on theory followed by coding walk-throughs • Two to three guided projects (e.g., text classification, named-entity recognition, simple chatbot) that I can showcase • Brief feedback on my code, documentation and interview explanations Please highlight your relevant experience with NLP frameworks and any mentoring or teaching you’ve done when you reply. We’ll agree on timelines, session format (Zoom, Jupyter notebooks, etc.) and any additional materials you recommend once we get started.