Amazon Comprehend Course in Chennai
825 Ratings
Master Amazon Comprehend, Natural Language Processing (NLP), AI-powered text analytics, machine learning, and intelligent document analysis with Edubrights’ Amazon Comprehend training in Chennai. This course is designed for students, freshers, AI enthusiasts, machine learning engineers, data scientists, software developers, cloud engineers, business analysts, and working professionals who want to build intelligent applications that understand and analyze natural language using AWS AI services.
Gain hands-on experience with entity recognition, sentiment analysis, key phrase extraction, language detection, topic modeling, document classification, custom models, API integration, and real-world AI projects through practical industry use cases.
Key Highlights:
✅ Real-Time AI & NLP Projects for Enterprise Text Analytics
✅ Live Instructor-Led Training by Experienced AWS AI & Machine Learning Experts
✅ Hands-On Practice with Amazon Comprehend
✅ Amazon Comprehend Fundamentals, NLP Concepts & AI Services
✅ Entity Recognition, Key Phrase Extraction & Language Detection
✅ Sentiment Analysis, Syntax Analysis & Document Processing
✅ Topic Modeling, Text Classification & Content Categorization
✅ Custom Entity Recognition, Custom Classification & Model Training
✅ Intelligent Document Analysis, Text Mining & Business Insights
✅ Security, Data Privacy, Monitoring & AI Best Practices
✅ Performance Optimization, API Integration & Cloud Deployment
✅ Integration with Amazon S3, AWS Lambda, Amazon Textract, Amazon Translate, Amazon Bedrock, Amazon SageMaker, Amazon API Gateway, AWS IAM & Amazon CloudWatch
✅ Resume Building, Portfolio Development & Mock Interview Preparation
✅ Career Guidance, Placement Assistance & AWS AI Certification Support
✅ Flexible Online, Classroom & Weekend Training Options
✅ Corporate Training for AI Teams, Data Science Departments, Software Companies, Enterprises & Digital Transformation Organizations
Build practical Amazon Comprehend expertise, develop AI-powered text analytics applications, automate language understanding tasks, extract valuable business insights from unstructured data, and become industry-ready for careers in AI Engineering, Machine Learning, NLP Engineering, Data Science, Cloud AI Development, and Intelligent Automation.
Call Course Advisor
₹16000
₹20000
Case Studies and Projects
2+
Hours of Training
20+
Placement Assurance
100%
Expert Support
Yes
Support & Access
Lifetime
Certification
Yes
Skill Level
All
Language
All
Course Objectives
1. What exactly Amazon Comprehend training cover?
Amazon Comprehend training covers using AWS’s natural language processing (NLP) service to extract insights from text data. It includes text analysis, entity recognition, sentiment analysis, topic modeling, custom model training, integration with AWS services, and securing sensitive information.
2. What are the main objectives of the Amazon Comprehend course for your development skills?
- Equip you to analyze and derive meaningful insights from unstructured text data.
- Enable you to build custom NLP models for domain-specific applications.
- Teach you to integrate and automate text analytics workflows securely in AWS.
3. How do you process large volumes of documents?
You will use Amazon Comprehend to automatically classify and extract data from documents.
4. How do you integrate AI into business processes?
You will connect Comprehend with other AWS services to create intelligent solutions.
Popular Techniques Covered in This Course
1.NLP fundamentals
2.AWS IAM and security basics
3.AWS Console and CLI usage
4.Batch and real-time text analysis
5.Entity and sentiment detection
6.Custom model creation
7.Workflow automation
8.Monitoring and logging with CloudWatch
9.Cost optimization practices
10.Automated Sentiment Dashboard
Get Hands-on Knowledge about Real-Time Projects
Project 1
1.Customer Feedback Sentiment Analysis:
Analyze product reviews or social media data to extract sentiment and key topics to inform business decisions.
Project 2
2.Custom Entity Recognition for Insurance Claims:
Build and deploy a custom entity recognition model to extract domain-specific terms from insurance documents for automated processing.
Project 3
3: Entity Extraction from Reports
Extract key information like names, dates, and locations from documents.
Project 4
4: Custom Comprehend Model Training
Train and deploy a custom entity recognizer for domain-specific data.
Project 5
5: Intelligent Search Application
Create a smart search solution using Comprehend for enterprise documents.
Key Features
Edubrights offers Amazon Comprehend Training in virtual mode with expert trainers. Here are the key features,
40 Hours Course Duration
100% Job Oriented Training
Industry Expert Faculties
Free Demo Class Available
Completed 500+ Batches
Certification Guidance
Curriculum
Module 1: Introduction to Amazon Comprehend
- Overview of NLP and Amazon Comprehend
- Use cases and benefits
- Supported languages and features
Module 2: Text Analysis and Entity Recognition
- Extracting entities, key phrases, and sentiment
- Understanding entity types and sentiment scores
Module 3: Topic Modeling and Document Classification
- Using topic detection to organize documents
- Document classification with predefined categories
Module 4: Custom Entity Recognition and Model Training
- Preparing datasets and labels
- Training and evaluating custom entity recognition models
Module 5: Integration with AWS Services
- Connecting Comprehend with S3, Lambda, SageMaker
- Automating pipelines and workflows
Module 6: Language Detection and Sentiment Analysis
- Detecting dominant languages
- Analyzing sentiment in multilingual data
Module 7: Security, Compliance, and Data Privacy
- Managing IAM roles and encryption
- Ensuring compliance with data protection standards
Module 8: Monitoring and Optimization
- Using CloudWatch for monitoring analysis jobs
- Error handling and performance tuning
Module 9: Real-World Use Cases and Capstone Project
- Implementing advanced text analytics solutions
- End-to-end project with data ingestion, analysis, and reporting
Receive Training From Our Skilled and Effective Trainers
Experience in the Industry Gain knowledge from experts with practical Amazon Comprehend project experience in a variety of sectors.
Backgrounds at the Top Prominent corporations such as hcl, tcs , accenture and cognizant employ trainers.
Clear & Effective Teaching Excellent communication and real-world examples simplify complex subjects.
Hands-On Learning Focus Students can apply their abilities in real-world situations with the use of case studies and real-time projects.
Up-to-Date Knowledge Trainers stay current with the latest tools, techniques and best practices.
Succeed Our Resourceful Certification
Our institution provides a globally recognized Amazon Comprehend certification that demonstrates your proficiency in natural language text analytics on AWS. Gain hands-on experience with practical projects and master secure, scalable NLP solutions for today’s data-driven businesses.
Course FAQs
1. What is Amazon Comprehend?
A fully managed NLP service that uses machine learning to extract insights from text.
2. Can Amazon Comprehend detect sentiment in text?
Yes, it identifies positive, neutral, negative, and mixed sentiments.
3. Does Comprehend support custom model training?
Yes, you can train custom entity recognition models tailored to specific domains.
4. What languages does Amazon Comprehend support?
It supports multiple major languages including English, Spanish, German, French, and more.
5. Can Amazon Comprehend classify documents by topics?
Yes, it performs topic modeling and document classification to organize document collections.
6. How does Comprehend handle sensitive information?
It identifies and redacts personally identifiable information (PII) to protect privacy.
7. Is Amazon Comprehend integrated with other AWS services?
Yes, it integrates with services like S3, Lambda, SageMaker, and CloudWatch.
8. Can Comprehend detect the language of a text?
Yes, it identifies dominant languages automatically.
9. How secure is data processed in Amazon Comprehend?
Data is secured via IAM roles, encryption, and compliance with industry standards like GDPR.
10. What typical applications use Amazon Comprehend?
Customer feedback analysis, social media monitoring, document classification, and medical text analysis.
11. Do you cover custom model training?
Yes. You will learn to train custom entity and classifier models.
12. How is Comprehend used in real business?
It is widely used for customer feedback analysis, document automation, and content moderation.
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