Virtual Training
Data Science, AI, and Advanced Analytics
Natural Language Processing (NLP) Online Course
Join our virtual, live instructor-led session and master Natural Language Processing (NLP) Training from anywhere in the world.
5 Days
Duration
Live Online
Delivery
7 Dates
Available
Certificate
Included
Master Natural Language Processing Training to build intelligent text classifiers, deploy transformer models, and drive automated insights through advanced linguistic data engineering.
Upcoming Virtual Training Schedules
Join from anywhere in the world with our live instructor-led sessions
| Code | Start Date | End Date | Duration | Fee | |
|---|---|---|---|---|---|
| NLP-01 | Mon - Fri (10 Days) | USD 1,700 | Reserve my seat → Register my team → | ||
| NLP-01 | Mon - Fri (10 Days) | USD 1,700 | Reserve my seat → Register my team → | ||
| NLP-01 | Weekend (8 Weeks) | USD 1,700 | Reserve my seat → Register my team → | ||
| NLP-01 | Mon - Fri (10 Days) | USD 1,700 | Reserve my seat → Register my team → | ||
| NLP-01 | Mon - Fri (10 Days) | USD 1,700 | Reserve my seat → Register my team → | ||
| NLP-01 | Weekend (8 Weeks) | USD 1,700 | Reserve my seat → Register my team → |
Here's What You'll Learn
Each module tackles real challenges you face in your role
1
Linguistic Foundations and Text Preprocessing
2
Statistical NLP and Vectorization Strategies
3
Neural Word Embeddings and Semantics
4
Sequence Modeling with RNNs and LSTMs
5
The Transformer Revolution and Attention
6
Transfer Learning with BERT and RoBERTa
7
Information Extraction and Named Entity Recognition
8
Large Language Models and Generative AI
9
Retrieval-Augmented Generation and Vector Databases
10
NLP Deployment
Market-specific guidance for Indonesia
A country-aware view of the pressures, proof points, and practical tools that shape how this course applies locally.
Tools and platforms relevant to this field
4Field-relevant examples that may be featured in training where they support the confirmed scope. Exact coverage depends on participant needs and delivery format.
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Hugging Face Transformers Hugging FaceFor fine-tuning and deploying transformer-based text classification, named entity recognition, summarization, and retrieval-augmented generation workflows.
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spaCy ExplosionFor fast production text processing such as tokenization, dependency parsing, entity extraction, and rule-based pipeline components.
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Scikit-learn scikit-learn developersFor baseline text classification pipelines, feature extraction, and model evaluation before moving to larger transformer models.
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PyTorch PyTorch FoundationFor training and experimenting with custom neural NLP models and transformer architectures.
Where this course runs
Natural Language Processing (NLP) Training is delivered in the cities below — pick the one that fits your schedule.
