English | Size: 10.83 GB
Genre: eLearning
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
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.
Who this course is for:
Beginners
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