Saudi organisations often need NLP workflows that handle Modern Standard Arabic, dialectal Arabic, and English in the same data streams, which makes preprocessing and model selection more important than in English-only use cases.
Virtual Training
Artificial Intelligence, Automation, and Machine Learning
Natural Language Processing (NLP) for Text Analytics Online Course
Join our virtual, live instructor-led session and master Natural Language Processing (NLP) for Text Analytics Training from anywhere in the world.
5 Days
Duration
Live Online
Delivery
7 Dates
Available
Certificate
Included
Master Natural Language Processing to transform text data, enhance decision-making, and optimize business outcomes through advanced analytical techniques.
Upcoming Virtual Training Schedules
Join from anywhere in the world with our live instructor-led sessions
| Code | Start Date | End Date | Duration | Fee | |
|---|---|---|---|---|---|
| NLP-02 | Weekend (4 Weeks) | USD 850 | Reserve my seat → Register my team → | ||
| NLP-02 | Mon - Fri (5 Days) | USD 850 | Reserve my seat → Register my team → | ||
| NLP-02 | Mon - Fri (5 Days) | USD 850 | Reserve my seat → Register my team → | ||
| NLP-02 | Weekend (4 Weeks) | USD 850 | Reserve my seat → Register my team → | ||
| NLP-02 | Weekend (4 Weeks) | USD 850 | Reserve my seat → Register my team → | ||
| NLP-02 | Mon - Fri (5 Days) | USD 850 | Reserve my seat → Register my team → |
Here's What You'll Learn
Each module tackles real challenges you face in your role
1
Introduction to NLP and Text Analytics
2
Text Data Preprocessing Techniques
3
Applying NLP Models
4
Sentiment Analysis for Customer Insights
5
Entity Recognition and Language Modeling
6
Interpreting Text Analytics Results
7
Enhancing NLP with AI and Automation
8
Stakeholder Engagement and Compliance
9
Setting Targets and Tracking Progress
10
Presenting Results and Building Buy-in
Market-specific guidance for Saudi Arabia
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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Power BI MicrosoftUsed to publish dashboards that combine NLP outputs such as sentiment scores, topic frequencies, and complaint trends for managers.
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Microsoft Azure AI Language MicrosoftUsed for text classification, entity extraction, summarisation, and sentiment analysis in enterprise NLP pipelines.
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Google Cloud Natural Language API Google CloudUsed to analyse large text collections for entities, sentiment, and syntax when teams need managed cloud NLP services.
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Amazon Comprehend Amazon Web ServicesUsed for automated entity recognition, sentiment analysis, and document classification in scalable cloud deployments.
Where this course runs
Natural Language Processing (NLP) for Text Analytics Training is delivered in the cities below — pick the one that fits your schedule.
