Azure AI Services, OpenAI, LLM, ChatGPT, MLOps, CICD, Containerise AI Applications, Run LLM locally, Azure AI 102 Exam

What you'll learn
Deploy and Manage Azure AI Services
Basic knowledge on neural networks and LLM
Deploy custom azure AI models and MLOps/CICD pipeline.
Container solutions for Azure AI Services
Microsoft Certified: Azure AI Engineer Associate Azure AI 102

Requirements
None

Description
This course provides a comprehensive introduction to Azure AI services, covering fundamentals of neural networks, and AI application development. Students learn to design, implement, and deploy Azure AI solutions using Azure Computer Vision, Language, Decision services and many more.In Chapter 1, we cover the fundamentals of artificial intelligence, focusing on neural networks and large language models (LLMs). We will learn what AI is, why it's valuable, and how neural networks power complex AI capabilities. We will have a look at LLM models, how to download those models and run those models locally.Chapter 2 is all about Azure AI services, offering hands-on guidance for deploying and using Azure AI Services (such as Azure AI Vision, Azure AI Content Safety, Azure AI Language, Azure AI Speech, Azure AI Translator, Azure AI Video Indexer,Azure Document Intelligence, Azure AI Search), Azure OpenAI Models like chatgpt, DallE, embedding models for LLM capabilities and image generation. This chapter also teaches how to build tailored AI solutions by creating custom models and containerising Azure AI services, enabling on-premises or edge deployments. MLOps and CI/CD practices are also covered, showing how to automate continuous deployment and manage lifecycle operations efficiently for AI models and services.Finally, Chapter 3 is dedicated to Azure AI 102 exam preparation for the Azure AI Associate certification, focusing on the exam's requirements and objectives. This chapter provides study guides and practice questions.

Overview
Section 1: Introduction to AI

Lecture 1 Introduction

Lecture 2 Limits of Traditional Computing

Lecture 3 Neural Networks

Lecture 4 Overview of Neural Networks

Lecture 5 Language Model Studio

Lecture 6 Training Resources

Lecture 7 Rest API

Section 2: Azure AI Services

Lecture 8 Azure Content Moderator Explained

Lecture 9 Azure Content Moderator Text Moderation

Lecture 10 Azure Content Moderator Image Moderation

Lecture 11 Azure AI Content Safety - Text & Image Moderation

Lecture 12 Azure AI Content safety - Blocklist

Lecture 13 Analyze images using Azure AI Vision

Lecture 14 Azure AI Vision Landmark Detection

Lecture 15 Azure AI Vison Brand Detection, Extract text, Image Tag

Lecture 16 Custom Vision – Image Classification

Lecture 17 Custom Vision – Image Classification Part – 2

Lecture 18 Custom Vision Studio, Evaluation Metrics & Object Detection

Lecture 19 Conversational Language Understanding Model by Azure AI Language

Lecture 20 Conversational Language understanding model - Demo

Lecture 21 Analyze text using Azure AI Language

Lecture 22 Text to speech using Azure AI Speech Service

Lecture 23 Speech to text conversion and translation using Azure AI Speech

Lecture 24 SSML – Speech Markup Language

Lecture 25 Custom speech Model

Lecture 26 CICD/MLOps concepts

Lecture 27 Deploying a Custom Speech Model using CICD

Lecture 28 Azure AI Translator service

Lecture 29 Azure AI Document Intelligence - prebuilt models

Lecture 30 Custom Document Intelligence model

Lecture 31 Azure AI Search Part-1

Lecture 32 Azure AI Search Part-2

Lecture 33 OpenAI - Deploy gpt Model, Prompts, Parameters, Content Filter

Lecture 34 OpenAI - Fine tune, use private data, DallE

Lecture 35 Azure AI Video Indexer

Lecture 36 Azure AI Vision Spatial Analysis

Lecture 37 Manage, monitor, and secure an Azure AI service

Lecture 38 Plan and implement a container deployment

Lecture 39 Custom Question Answering using AI Language

Section 3: Azure AI 102 Exam

Lecture 40 Intro - Exam AI 102

Beginners

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