Azure AI services complete guide - Covers AI-102 Cert
About this course
In Chapter 1, we cover the fundamentals of artificial intelligence, focusing on:Introduction to Artificial Intelligence (AI) and its importance.Core concepts: Neural Networks and Large Language Models (LLMs).How to download and run LLMs locally.Chapter 2 is all about Azure AI services, offering hands-on guidance for deploying and using Azure AI Services:Azure AI Vision - Image Analysis, OCR, Video Analysis, Face ServiceAzure AI Content Safety - detects harmful user-generated and AI-generated content in applications and services.Azure AI Language - Understanding and analyzing text, Conversational Language Analysis, Custom Question AnsweringAzure AI Speech - Provides speech to text and text to speech capabilitiesAzure AI Translator - Multi-language solutionsAzure AI Document Intelligence - Document processing solutionsAzure AI Search - Search-as-a-service solution offering full-text search, vector similarity searchAzure OpenAI Models: ChatGPT, DALL·E, embeddings for LLMs, and image generation.Building custom AI models and containerizing services for on-premises/edge deployment.MLOps & CI/CD: Automating deployment and lifecycle management of AI solutions.Fine tuning OpenAI ModelsBringing your own data to ModelsManage, monitor, and secure an Azure AI serviceEach lesson is followed by a QUIZ to help you consolidate your learning.Chapter 3 contains new updated topics based on 2025 Updates:Agent
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What you'll learn
- Understand core concepts of artificial intelligence, including neural networks and large language models
- Deploy and utilize Azure AI services for various applications
- Analyze and process text and speech using Azure tools
- Implement custom AI models and manage their lifecycle
Course objectives
- Provide a foundational understanding of AI concepts
- Guide practical application of Azure AI services
- Update learners on the latest trends and methodologies in AI
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