Modern NLP for AI Engineers & Data Scientists https://WebToolTip.com Published 1/2026
Created by Data Science Academy, School of AI
MP4 | Video: h264, 1920x1080 | Audio: AAC, 44.1 KHz, 2 Ch
Level: Beginner | Genre: eLearning | Language: English | Duration: 54 Lectures ( 4h 49m ) | Size: 2.8 GB
Learn classical NLP, embeddings, transformers, and evaluation techniques beyond large language models
What you'll learn
✓ Design robust NLP pipelines from raw text to model input
✓ Apply text preprocessing, tokenization, parsing, and normalization correctly in production settings
✓ Build and evaluate classical NLP systems using Bag-of-Words, TF-IDF, and statistical features
✓ Understand and implement word embeddings, sentence embeddings, and document embeddings
✓ Use transformers for understanding tasks, not just text generation
✓ Choose the right encoder-only, sequence, or attention-based model for a given problem
✓ Evaluate embeddings using intrinsic and extrinsic metrics, while accounting for bias and representation risks
✓ Think like an AI Engineer, not just a model user
Requirements
● Basic Python programming
● Fundamental understanding of machine learning concepts
● Curiosity to understand how AI systems actually work
● No prior NLP experience is required—everything is built step by step