Master Azure Artificial Intelligence (Ai, Ml, Genai)

Become a Master of Azure AI Services (Speech, Visio, OpenAI, AI Studio, Promptflow) and Get Certified (AI-102)

What you'll learn

Specialize in using Azure AI services for computer vision, NLP, knowledge mining, document intelligence, and generative AI.

Gain hands-on experience with image analysis, language processing, and AI service deployment.

Prepare for the AI-102 certification with content updates reflecting current exam requirements.

Focus on building comprehensive and innovative AI applications.

Deep dive into AI Studio architecture, setup, and deployment for creating intelligent solutions.

Requirements

Basic Programming Knowledge: Familiarity with a programming language, preferably C# or Python, used within Azure's context.

Azure Fundamentals: An understanding of core Azure services and navigating the Azure portal.

Development Environment: Access to a computer with internet connectivity, capable of running Azure's cloud services.

Azure Subscription: While a free tier may be sufficient for starters, a paid subscription could be required for more advanced features.

Description

Embark on a journey to become a Microsoft AI Certified professional with our comprehensive course. Designed for aspiring Azure AI Engineers, this program equips you for the AI-102 certification while empowering you to build impactful AI solutions. Through hands-on learning, you'll master creating intelligent applications using Azure's powerful AI capabilities.What You'll Learn:Introduction to Azure and AI:Gain foundational knowledge of Azure and its AI services.Computer Vision Solutions:Develop image analysis, facial recognition, custom vision, and video analysis skills using Azure AI Vision.Natural Language Processing (NLP):Learn text analysis, translation, question answering, and conversational app building.Explore custom classification and speech recognition.Knowledge Mining:Create intelligent search solutions and knowledge stores using custom skills.Document Intelligence:Understand Azure's Document Intelligence Service with prebuilt and custom models.Generative AI with Azure OpenAI:Get started with Azure OpenAI Service and learn app development, prompt engineering, and data utilization.AI Studio:Explore AI Studio architecture, setup, deployment, and integration with Azure.PromptflowArchitecture and Security Best practicesCertification Preparation:Equip yourself with the skills needed for the Microsoft Certified: Azure AI Engineer Associate exam.Course Highlights:Azure AI-Centric Curriculum: Specialize in using Azure AI services for computer vision, NLP, knowledge mining, document intelligence, and generative AI.Interactive Labs: Gain hands-on experience with image analysis, language processing, and AI service deployment.Up-to-Date Learning: Prepare for the AI-102 certification with content updates reflecting current exam requirements.End-to-End Solution Development: Focus on building comprehensive and innovative AI applications.AI Studio Exploration: Deep dive into AI Studio architecture, setup, and deployment for creating intelligent solutions.Who This Course Is For:Developers aiming to build AI-driven applications using Azure AI.AI enthusiasts eager to deepen their Azure AI knowledge.Candidates for the Microsoft Certified: Azure AI Engineer Associate certification seeking hands-on learning.Prerequisites:Experience with Python programming.Basic understanding of Azure services.Your Instructor:Freddy is a well know worlwide Microsoft Subject Matter Experts skilled in AI technologies and Python that has contributed to the Microsoft AI Community. Here is a list of some of his contributions:Basic OpenAI end-to-end chat reference architectureBaseline OpenAI end-to-end chat reference architectureAzure OpenAI chat baseline architecture in an Azure landing zoneAI Studio End-to-End Baseline Reference ImplementationAnd many othersCertification Path:AI-102 Exam Preparation: Gain the knowledge needed to pass the Azure AI Engineer Associate exam.Skills You'll Develop:Planning and managing Azure AI solutions.Deploying services for complex decision-making.Building image recognition capabilities.Creating NLP-based chatbots and services.Engineering document intelligence solutions.Innovating with Python for generative AI.Course Outcome:Complete the course ready to pass the Microsoft Azure AI Engineer Associate exam, armed with the expertise to lead AI initiatives. Become proficient in driving AI projects and leveraging Azure and Python technologies.Enrollment:Enroll now to advance your career. Become a Microsoft AI Certified professional, bringing intelligent solutions to life. Sign up today and shape the future of AI application development.

Overview

Section 1: Introduction to Azure and AI (Cert)

Lecture 1 Introduction to the Course

Lecture 2 Before you start

Lecture 3 Introduction to AI Services on Azure

Lecture 4 Download the Code

Lecture 5 Get Stated on AI Services for Azure

Section 2: Develop computer vision solutions with Azure AI Vision (Cert)

Lecture 6 Introduction and Image Analysis

Lecture 7 Face API

Lecture 8 Custom Vision

Lecture 9 Video Analysis and Conclusion

Section 3: Develop natural language processing solutions (Cert)

Lecture 10 Introduction

Lecture 11 Text Analysis

Lecture 12 Translating Text

Lecture 13 Question Answering

Lecture 14 Build a conversational language understanding app

Lecture 15 Custom classification and named entity extraction

Lecture 16 Speech recognition, translation and synthesis

Lecture 17 Conclusion

Section 4: Creating a Knowledge Mining Solution (Cert)

Lecture 18 Introduction

Lecture 19 Implementing an Intelligent Search Solution

Lecture 20 Introduction to Custom Skills

Lecture 21 Creating a Knowledge Store

Lecture 22 Conclusion

Section 5: Develop solutions with Azure AI Document Intelligence (Cert)

Lecture 23 The Document Intelligence Service

Lecture 24 PreBuilt Models

Lecture 25 Custom Models

Section 6: Develop Generative AI Solutions with Azure OpenAI Service (Cert)

Lecture 26 Introduction

Lecture 27 Get started with Azure OpenAI Service

Lecture 28 Develop apps with Azure OpenAI Service

Lecture 29 Apply prompt engineering with Azure OpenAI Service

Lecture 30 Use your own data with Azure OpenAI Service

Section 7: AI Studio (Extra)

Lecture 31 Introduction to AIStudio

Lecture 32 AI Studio Architecture

Lecture 33 Setup

Lecture 34 Deployment

Lecture 35 Shared Private Link

Lecture 36 Bastion

Lecture 37 AI Studio Interface

Lecture 38 Add your own data

Lecture 39 Promptflow

Section 8: Practice Test (Cert)

Section 9: Course Conclusion and Next Steps

Lecture 40 Conclusion

Developers aiming to build AI-driven applications using Azure AI.,AI enthusiasts eager to deepen their Azure AI knowledge.,Candidates for the Microsoft Certified: Azure AI Engineer Associate certification seeking hands-on learning.