AI-102 : Microsoft Azure AI Engineer Associate Exam Guide

Overview

Azure AI Solutions with Azure AI Search, OpenAI, AI Vision, NLP, Document Intelligence, Azure AI Foundry (Studio) What you'll learn:

How to implement AI solutions on the Microsoft Azure platformHow to pass the AI-102 exam and become an Azure AI Engineer AssociateThe basics of Azure AI services like computer vision, NLP, and knowledge miningHow to integrate AI features into various applications securelyHow to use REST APIs, SDKs, and programming languages like PythonHow to plan, develop, and deploy AI solutions end-to-endUnderstanding Azure AI components and data storage optionsApplying responsible AI principles in real-world projects Disclaimer :

This course requires you to download Visual Studio Code from their official websites. If you are a Udemy Business user, please check with your employer before downloading any software to ensure compliance with your organization’s policies.Azure is one of the fastest-growing cloud platforms, and AI-102 certification equips you with the skills to design and implement AI solutions on Microsoft Azure.This course offers 10+ hours of highly detailed video content with hands-on labs to provide the most practical learning experience.Are you looking to:

Build and deploy AI solutions on Azure?Master Azure AI services like Computer Vision, NLP, and Custom Machine Learning Models?Learn how leading applications like Microsoft Teams, Outlook, and Azure Cognitive Services handle data and AI?If yes, this course is for you!Why Azure, AI-102 Certification,AI is the future, and Azure provides industry-leading AI tools and services.Azure AI-102 certification validates your expertise in implementing AI solutions.Certified individuals are more confident, take on more responsibilities, and often grow into leadership roles.I am excited to guide you on this journey toward AI-102 Certification with this comprehensive, practical course.What Makes This Course Unique?Hands-On Learning:

Build, train, and deploy real-world AI solutions.80% Practical + 20% Theory:

Focused on applying concepts.Relevant Content:

Covers all key AI-102 exam topics in depth.Minimum Slides, Maximum Azure Portal:

Learn by doing with real tools.Key Themes of This Certification Course:

Get Started with Azure AI Services Learn the fundamentals of Azure AI services, how to provision AI resources, and explore the core capabilities of Azure Cognitive Services.Computer Vision Solutions with Azure AI Vision Dive into Azure’s Computer Vision capabilities, including image analysis, object detection, OCR (optical character recognition), and custom vision solutions.Natural Language Processing Solutions with Azure AI Services Master NLP tools like Azure Text Analytics, Language Understanding (LUIS), and Translator to analyze text, detect sentiment, and build conversational AI applications.Azure AI Document Intelligence Automate document processing with Azure AI Document Intelligence to extract information from forms, invoices, and structured documents.Generative AI Solutions with Azure OpenAI Service Implement generative AI solutions using Azure OpenAI Service to build innovative applications with advanced language models.Knowledge Mining with Azure AI Search Leverage Azure Cognitive Search for knowledge mining and intelligent search solutions to extract insights from structured and unstructured data.What’s Included in the Course?Lifetime access to all materials and updatesA 30-Day Money-Back GuaranteeUdemy Certificate of CompletionActive Q&A supportIf you’re ready to level up your AI skills and achieve your AI-102:

Designing and Implementing an Azure AI Solution Certification, enroll now!I’ll see you inside the course.Regards,Ankit Mistry

Syllabus

• Introduction to Microsoft Azure AI Engineer Associate Exam
Overview of AI-102 Certification
Exam objectives and prerequisites
Study and preparation strategies
• Designing AI Solutions on Azure
Defining question-answering solutions
Planning an Azure AI-based architecture
Selecting the appropriate cognitive services
• Implementing Computer Vision Solutions
Analyzing and processing image data
Using Azure Computer Vision API
Implementing facial recognition solutions
• NLP and Text Analytics
Understanding Azure Text Analytics API
Sentiment and key phrase extraction
Language and entity recognition
• Implementing and Managing Bots
Building chatbots with Azure Bot Service
Integrating QnA Maker and LUIS (Language Understanding)
Bot Framework Composer and deployment
• Building Custom Machine Learning Models
Introduction to Azure Machine Learning
Creating and deploying predictive models
Data preprocessing and model training
• Implementing Responsible AI
Overview of responsible AI principles
Fairness, transparency, and privacy in AI solutions
Monitoring and maintaining AI systems
• Security, Privacy, and Compliance in AI
Protecting AI data and solutions
Azure security best practices
Compliance and regulatory considerations
• Exam Preparation and Practice
Understanding exam format and types of questions
Practice exams and sample questions
Study resources and revision tips
• Conclusion and Next Steps
Tips for exam day
Continuing education in AI with Azure

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Taught by

Ankit Mistry : 150,000+ Students and Ajay Gadhave

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Subjects

Programming