🚀 How to Learn NLP for Generative AI | Hands-On NLP Basics | NVIDIA NCS-GENAI | 🚀| LLM Foundations |

🚀 Hands-On NVIDIA NCS-GENAI | Azure AI|GCP |AWS| NLP Basics 🚀
In this session we cover the essential building blocks of Natural Language Processing (NLP): These are asked under various NVIDIA, GCP, AWS and Azure AI exams

🔹 NLP Basic Terms — clear explanations of the foundational concepts
🔹 NLP Pipeline — step-by-step walkthrough of how text flows through preprocessing to model training
🔹 Hands-On Lab — practical demo to apply concepts in real time
🔹 Embeddings — detailed look at TF-IDF, Word2Vec, and how embeddings capture meaning

This video is designed for beginners starting their AI/NLP journey, with engaging explanations, practical labs, and certification insights.

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⏱️ *Timestamps / Bookmarks*
00:00 – Intro & Agenda
00:22 – NLP Basics
02:45 – Tokenization
03:29 – Text Preprocessing Techniques
05:10 – NLP Pipeline
08:23 - Feature Engineering
09:44 – Embeddings Basics
13:42 – Hand On Lab: Building a Simple NLP Pipeline
19:17 - 3D Visualization representation of TF-IDF vectors
20:56 - Spacy Named Entity Recognition (NER) Basics
21:48 - Embeddings Deep Dive
23:37 – Word2Vec Basics
24:50 – Wrap-Up & Next Steps


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📌 *Key Takeaways*
Understand NLP basics and terminology.
Learn how the NLP pipeline works end-to-end.
Get hands-on practice with preprocessing and feature representation.
Explore embeddings in detail: TF-IDF vs Word2Vec.
Build confidence for certifications and real-world AI projects.

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#NVIDIA #AzureAI900 #GenerativeAI #NLPBasics#AI #MachineLearning #ArtificialIntelligence #WordEmbeddings #TFIDF #Word2Vec #AIcertification #TechLearning #DataScience

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