Build NLP solutions with Azure AI Language — sentiment analysis, translation, entity recognition, and app integration.
Description
This course is designed to help you master the fundamentals of NLP using Azure AI services. Through step-by-step lessons and practical labs, you’ll explore how to analyze text, extract insights, and build intelligent applications that understand human language.
You’ll begin by learning the basics of text analysis with Azure AI Language services, including sentiment analysis, entity recognition, and key phrase extraction. Hands-on practice in the Lab – Analyze Text will help reinforce these concepts. Next, you’ll move into conversational AI, where you’ll explore conversational understanding and question answering. You’ll create intelligent solutions in Lab – Create a Language Understanding Model and Lab – Create a Question Answering Solution to see how real-world chatbots and virtual assistants can be built on Azure.
Beyond text and conversations, the course will guide you into custom classification and named entity extraction, giving you the skills to design tailored solutions that meet unique business needs. You’ll also learn how to integrate speech recognition and synthesis, enabling applications to transcribe and generate spoken content. The Lab – Speech Recognition and Synthesis will bring this concept to life.
Finally, you’ll explore translation services and integrate them with generative AI features in the Lab – Audio Enabled Generative AI App, where you’ll design multilingual, voice-enabled intelligent solutions.
By the end of this course, you’ll have hands-on experience across multiple Azure AI Language capabilities—from text analytics and speech services to translation and conversational AI. Whether you’re preparing for Microsoft’s AI Engineer Associate certification, working as a developer or data scientist, or simply curious about AI, this course will equip you with practical NLP skills in the Azure ecosystem that can be applied directly to real-world applications.
Total Students | 39 |
---|---|
Duration | 1.5 hours |
Language | English (US) |
Number of lectures | 6 |
Number of quizzes | 0 |
Total Reviews | 0 |
Global Rating | 0 |
Instructor Name | Maruti Makwana |
Course Insights (for Students)
Actionable, non-generic pointers before you enroll
Student Satisfaction
78% positive recent sentiment
Momentum
Steady interest
Time & Value
- Est. time: 1.5 hours
- Practical value: 5/10
Roadmap Fit
- Beginner → → Advanced
Key Takeaways for Learners
- Analytics
Course Review Summary
Signals distilled from the latest Udemy reviews
What learners praise
Clear explanations and helpful examples.
Watch-outs
No consistent issues reported.
Difficulty
Best suited for
—
Reminder – Rate this 100% off Udemy Course on Udemy that you got for FREEE!!