Unlock the potential of natural language processing with Azure AI Services in this comprehensive course. Designed for individuals with a background in Azure and programming, this course guides you through building intelligent applications that can analyze text, answer questions, understand conversations, and more. By the end of this course, you'll be proficient in creating advanced AI-driven solutions that enhance user interactions and automate complex tasks.
Dive into hands-on modules that cover text analysis, question answering, conversational models, custom text classification, and speech-enabled applications. This course provides the practical knowledge and skills needed to implement and optimize AI solutions, ensuring you stay ahead in the rapidly evolving field of AI technology.
Audience Profile
This course is ideal for software developers, data scientists, and IT professionals with experience in Azure and programming in C# or Python. It is particularly beneficial for those looking to specialize in AI-driven applications and enhance their skills in natural language processing and speech technologies.
Prerequisites: Familiarity with Azure and the Azure portal.
Experience programming with C# or Python. If you have no previous programming experience, we recommend you complete either <a href="https://www.onlc.com/outline.asp?ccode=xcsinp">C# Programming Level 1: Introduction for Non-Programmers</a> or <a href="https://www.onlc.com/outline.asp?ccode=xpyinp">Python Programming Level 1: Introduction for Non-Programmers</a> before taking this course.
Course Outline
Module 1: Analyze text with Azure AI Language
- Provision an Azure AI Language resource
- Detect language
- Extract key phrases
- Analyze sentiment
- Extract entities
- Extract linked entities
- Exercise - Analyze text
- Module 2: Create question answering solutions with Azure AI Language
- Understand prebuilt models
- Understand question answering
- Compare question answering to Azure AI Language understanding
- Create a knowledge base
- Implement multi-turn conversation
- Test and publish a knowledge base
- Use a knowledge base
- Improve question answering performance
- Exercise - Create a question answering solution
Module 3: Build a conversational language understanding model
- Understand prebuilt capabilities of the Azure AI Language service
- Understand resources for building a conversational language understanding model
- Define intents, utterances, and entities
- Use patterns to differentiate similar utterances
- Use pre-built entity components
- Train, test, publish, and review a conversational language understanding model
- Exercise - Build an Azure AI services conversational language understanding model
Module 4: Create a custom text classification solution
- Understand types of classification projects
- Understand how to build text classification projects
- Exercise - Classify text
Module 5: Custom named entity recognition
- Understand custom named entity recognition
- Label your data
- Train and evaluate your model
- Exercise - Extract custom entities
Module 6: Translate text with Azure AI Translator service
- Provision an Azure AI Translator resource
- Understand language detection, translation, and transliteration
- Specify translation options
- Define custom translations
- Exercise - Translate text with the Azure AI Translator service
Module 7: Create speech-enabled apps with Azure AI services
- Provision an Azure resource for speech
- Use the Azure AI Speech to Text API
- Use the text to speech API
- Configure audio format and voices
- Use Speech Synthesis Markup Language
- Exercise - Create a speech-enabled app
Module 8: Translate speech with the Azure AI Speech service
- Provision an Azure resource for speech translation
- Translate speech to text
- Synthesize translations
- Exercise - Translate speech
