.webp)
.svg)
Program overview
Online
On-site
Hybrid
Natural Language Processing in Data Science
Build a strong foundation in Natural Language Processing by understanding core concepts, techniques, and real world applications. Learn how to design, implement, evaluate, and integrate NLP solutions using modern libraries while customizing models to meet domain specific business needs.
Duration:
5 Days
Level:
Intermediate
.avif)
1500+ users onboarded
Who will Benefit from this Training?
Training Objectives
Build a high-performing, job-ready tech team.
Personalise your team’s upskilling roadmap and design a befitting, hands-on training program with Uptut
Key training modules
Comprehensive, hands-on modules designed to take you from basics to advanced concepts
Download Curriculum
- NLP Foundations and Text Preprocessing
- Position NLP within modern data science workflows
- Clean and normalize raw text for modeling
- Handle encoding, noise, and domain-specific tokens
- Build a reusable text preprocessing pipeline
- Tokenization, Lemmatization, and POS Tagging
- Tokenize text for analysis and modeling
- Reduce tokens with stemming/lemmatization strategies
- Apply part-of-speech tagging for syntactic signals
- Compare preprocessing choices on downstream quality
- Named Entity Recognition and Sequence Labeling
- Identify people, organizations, and locations in text
- Frame sequence labeling tasks and evaluation
- Handle overlapping and nested entity patterns
- Hands-on: Extract entities from sample documents
- Sentiment Analysis and Text Classification
- Score sentiment for reviews, tickets, or social text
- Train text classifiers for business categories
- Choose metrics for imbalanced text labels
- Ship a baseline classifier with clear error analysis
- Topic Modeling and Text Clustering
- Extract latent topics from document collections
- Cluster similar documents for discovery and triage
- Interpret and label topic/cluster outputs
- Use results for content organization and research
- Word Embeddings and Language Modeling
- Represent words as dense semantic vectors
- Use embeddings for similarity and feature transfer
- Introduce language modeling for context-aware text
- Select embedding approaches for domain data
- Machine Translation and Question Answering
- Understand MT pipelines and evaluation basics
- Build QA flows over document contexts
- Measure answer relevance and faithfulness
- Identify production constraints for MT/QA systems
- Summarization and Information Extraction
- Generate concise summaries that preserve key facts
- Extract structured fields from unstructured text
- Validate extraction precision for business systems
- Design human-in-the-loop review where needed
- Chatbots and Language Generation
- Design conversational flows for user intents
- Generate natural language responses safely
- Ground generation in approved knowledge sources
- Test failure modes and escalation paths
- Speech Recognition Basics
- Convert speech to text for NLP pipelines
- Assess accuracy and domain vocabulary challenges
- Connect ASR outputs to downstream NLP tasks
- Plan privacy and consent for voice data
- Ethics in NLP
- Identify bias, privacy, and misuse risks in NLP
- Apply mitigation and review practices
- Document limitations for stakeholders
- Define responsible deployment checkpoints
Hands-on Experience with Tools
Training Delivery Format
Flexible, comprehensive training designed to fit your schedule and learning preferences
Opt-in Certifications
AWS, Scrum.org, DASA & more
.avif)
100% Live
on-site/online training
.avif)
Hands-on
Labs and capstone projects
.avif)
Lifetime Access
to training material and sessions
Skill-Gap Assessment
Analysing skill gap and assessing business requirements to craft a unique program
1
Personalisation
Customising curriculum and projects to prepare your team for challenges within your industry
2
Implementation
Supplementing training with consulting support to ensure implementation in real projects
3
Why this course
- Unlocking Language Data: By leveraging NLP techniques, you can tap into vast amounts of textual information and transform it into actionable knowledge.
- Improved Customer Experience: NLP allows you to analyse customer feedback, support tickets, social media interactions, and reviews, enabling you to understand customer sentiment, preferences, and needs.
- Enhanced Business Intelligence: By leveraging NLP techniques, you can gain deeper insights from text data, uncover patterns, and detect trends. This enables your business to make data-driven decisions, identify market opportunities, perform competitive analysis, and drive innovation within your business.
Training objectives
- Gain a solid understanding of the fundamental concepts, techniques, and models used in Natural Language Processing.
- Learn the various applications of NLP in real-world scenarios and industry domains.
- Gain hands-on experience in applying NLP techniques such as text preprocessing, sentiment analysis, text classification etc.
- Develop practical skills in implementing NLP solutions using popular libraries and frameworks.
- Learn how to customize and fine-tune NLP models to address their organisation's specific requirements and domain-specific challenges.
- Receive training on evaluation metrics and techniques to assess the performance and quality of NLP models
- Learn how to integrate NLP capabilities into existing business workflows, systems, or applications.
Who will benefit
- Data Scientists
- Software Engineers
- Data Analysts
- Business Analysts
- Data Engineers
.avif)
Lead the Digital Landscape with Cutting-Edge Tech and In-House " Techsperts "
Discover the power of digital transformation with train-to-deliver programs from Uptut's experts. Backed by 70,000+ professionals across the world's leading tech innovators.
.svg)
.svg)
.svg)
.svg)
.svg)
Recommended Training
Continue your learning journey with these hand-picked courses and bundles
Frequently Asked Questions
2. Will my team get any practical experience with this training?
.svg)
With our focus on experiential learning, we have made the training as hands-on as possible with assignments, quizzes and capstone projects, and a lab where trainees will learn by doing tasks live.
3. What is your mode of delivery - online or on-site?
We conduct both online and on-site training sessions. You can choose any according to the convenience of your team.
4. Will trainees get certified?
Yes, all trainees will get certificates issued by Uptut under the guidance of industry experts.
5. What do we do if we need further support after the training?
We have an incredible team of mentors that are available for consultations in case your team needs further assistance. Our experienced team of mentors is ready to guide your team and resolve their queries to utilize the training in the best possible way. Just book a consultation to get support.