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Applied NLP and Generative AI with Azure
Curriculum
1 Section
34 Lessons
30 hours
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Unit 3 — Applied NLP and Generative AI with Azure
34
1.1
Text Preprocessing and Representation
20 mins
1.2
Language Modeling
20 mins
1.3
Text Classification and Sentiment Analysis
20 mins
1.4
Information Extraction
20 mins
1.5
Language Generation and Conversational NLP
20 mins
1.6
Speech Processing Basics
20 mins
1.7
Machine Translation Fundamentals
20 mins
1.8
Evaluation, Challenges, and Ethics
20 mins
1.9
Summary
20 mins
1.10
Exam Essentials
20 mins
1.11
Review Questions
20 mins
1.12
Azure AI Language Service
20 mins
1.13
Azure AI Speech Service
20 mins
1.14
Azure Translator Service
20 mins
1.15
Azure Cognitive Search for NLP Scenarios
20 mins
1.16
Integrating NLP Services into Applications
20 mins
1.17
Summary
20 mins
1.18
Exam Essentials
20 mins
1.19
Review Questions
20 mins
1.20
Foundations of Generative AI
20 mins
1.21
Generative Model Families and Architectures
20 mins
1.22
Training Generative Models
20 mins
1.23
Inference and Generation Mechanics
20 mins
1.24
Evaluation and Alignment
20 mins
1.25
Representative Use Cases for Generative AI
20 mins
1.26
Summary
20 mins
1.27
Exam Essentials
20 mins
1.28
Review Questions
20 mins
1.29
Introduction to Azure OpenAI Service
20 mins
1.30
Core Capabilities of Azure OpenAI
20 mins
1.31
Image Generation in Azure OpenAI
20 mins
1.32
Azure OpenAI Integration with Azure Services
20 mins
1.33
Summary
20 mins
1.34
Exam Essentials
20 mins
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