Overview
Azure AI Solutions with Azure AI Search, OpenAI, AI Vision, NLP, Document Intelligence, Azure AI Foundry (Studio)
Syllabus
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- Introduction to Microsoft Azure AI Engineer Associate Exam
-- Overview of AI-102 Certification
-- Exam objectives and prerequisites
-- Study and preparation strategies
- Designing AI Solutions on Azure
-- Defining question-answering solutions
-- Planning an Azure AI-based architecture
-- Selecting the appropriate cognitive services
- Implementing Computer Vision Solutions
-- Analyzing and processing image data
-- Using Azure Computer Vision API
-- Implementing facial recognition solutions
- NLP and Text Analytics
-- Understanding Azure Text Analytics API
-- Sentiment and key phrase extraction
-- Language and entity recognition
- Implementing and Managing Bots
-- Building chatbots with Azure Bot Service
-- Integrating QnA Maker and LUIS (Language Understanding)
-- Bot Framework Composer and deployment
- Building Custom Machine Learning Models
-- Introduction to Azure Machine Learning
-- Creating and deploying predictive models
-- Data preprocessing and model training
- Implementing Responsible AI
-- Overview of responsible AI principles
-- Fairness, transparency, and privacy in AI solutions
-- Monitoring and maintaining AI systems
- Security, Privacy, and Compliance in AI
-- Protecting AI data and solutions
-- Azure security best practices
-- Compliance and regulatory considerations
- Exam Preparation and Practice
-- Understanding exam format and types of questions
-- Practice exams and sample questions
-- Study resources and revision tips
- Conclusion and Next Steps
-- Tips for exam day
-- Continuing education in AI with Azure
Taught by
Ankit Mistry : 150,000+ Students and Ajay Gadhave
Tags
On-Demand
