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
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