Azure Synapse Analytics Courses Online | Azure Synapse Training

1
Natural Language Processing with Azure AI

• Enhancing Communication and Understanding

2
Introduction to NLP and Azure AI

• Overview of NLP Definition and importance
• Azure AI Overview Brief introduction
• Purpose of the Presentation What will be covered

3
Real-World Applications of Azure NLP

• Customer Service Automation Chabot's and virtual
  assistants
• Content Moderation Analysing and filtering
  inappropriate content
• Market Analysis Analysing customer feedback and
  trends

4
Building an NLP Solution with Azure AI

• Step-by-Step Process
• Data Collection and Preprocessing
• Model Selection and Training
• Deployment and Integration
• Tools and Services Azure Machine Learning,
  Cognitive Services, Bot Service

5
Azure Cognitive Services for NLP

• Text Analytics API Sentiment analysis, key
  phrase extraction, language detection
• Language Understanding (LUIS) Creating custom
  language models
• Translator Real-time translation capabilities

6
Case Study Successful Implementation

• Company Background Brief intro of the company
• Challenge What problem they faced
• Solution How Azure NLP was used
• Results Outcomes and benefits achieved

7
Best Practices and Considerations

• Data Quality and Privacy Importance of
  high-quality data and privacy considerations
• Model Performance Monitoring and improving model
  accuracy
• Scalability Ensuring your solution can scale
  with demand

8
Conclusion and QA

• Summary Key takeaways from the presentation
• Future of NLP with Azure AI Emerging trends and
  advancements
• Questions and Discussion

9
CONTACT

• Azure Synapse Analytics
• Address- Flat no 205, 2nd Floor,
• Nilgiri Block, Aditya Enclave,
• Ameerpet, Hyderabad-1 
• Ph. No 91-9989971070 
• Visit www.visualpath.in 
• E-Mail online_at_visualpath.in

10
THANK YOU
Visit www.visualpath.in