Microsoft Azure AI-102 is a highly sought-after certification that validates your skills in designing and implementing Azure AI solutions.
It’s a valuable credential for anyone seeking to advance their career in the field of artificial intelligence (AI) and cloud computing.
By mastering this certification, you can demonstrate your proficiency in leveraging Azure’s powerful AI services to build innovative and effective solutions for businesses of all sizes.
Finding the right Microsoft Azure AI-102 course on Udemy can be a daunting task, as there are countless options to choose from.
You want a course that’s comprehensive, engaging, and taught by experts, but also aligns with your learning style and goals.
For the best Microsoft Azure AI-102 course overall, we highly recommend AI-102 Microsoft Azure AI Solution Complete Exam Prep 2024.
This comprehensive course provides a deep dive into Azure AI services, hands-on labs, code samples, and practical exam simulations, making it an ideal choice for both beginners and experienced professionals.
While this is our top pick, there are other excellent options available on Udemy.
Continue reading to explore our full list of recommendations and discover the perfect Microsoft Azure AI-102 course for your journey!
AI-102 Microsoft Azure AI Solution Complete Exam Prep 2024
You will learn how to design and implement Microsoft Azure AI solutions, covering various services like Computer Vision, Natural Language Processing, Speech, and Generative AI.
The course starts by introducing you to Azure AI services and how to select the appropriate one for your needs.
You will learn to create, deploy, manage, monitor, and secure Azure AI resources.
The instructor emphasizes responsible AI principles throughout the course.
For computer vision solutions, you will explore object detection, image classification, text extraction, and video analysis using services like Computer Vision and Video Indexer.
The course covers training custom vision models and evaluating their performance.
You will also learn to implement speech-to-text, text-to-speech, and language translation using the Speech and Translator services.
The course dives into conversational AI, teaching you to build bots using the Bot Framework SDK and Bot Composer.
You will learn dialog management, integrating with other cognitive services, and publishing bots to channels.
For knowledge mining solutions, you will use Azure Cognitive Search to implement search capabilities and QnA Maker to create question-answering solutions.
The course also covers document intelligence solutions using prebuilt models.
Finally, you will explore Azure OpenAI Service to generate natural language and code using prompts and create images with DALL-E.
Throughout the course, you will work with hands-on demos, code samples in Python and C#, and use tools like Visual Studio and PyCharm.
The instructor, Scott Duffy, is renowned for his expertise in Microsoft Azure training.
AI-102 Azure AI Engineer 100% Original Practice Exam FEB'24
With four 25-question practice tests, you’ll get a comprehensive preview of the actual AI-102 exam content.
The course covers all the key topics you’ll encounter on the exam, including planning and managing Azure AI solutions, implementing decision support, computer vision, natural language processing, knowledge mining, document intelligence, and generative AI solutions.
The practice tests are updated as of February 2024, ensuring you’re studying the most current material.
One standout feature is the inclusion of three timed tests, allowing you to simulate the real exam experience and identify areas where you may need more preparation.
This “dress rehearsal” approach can be invaluable in building confidence for the big day.
While the practice questions won’t be identical to the actual exam (per Microsoft’s terms), Duffy’s expertise as an Azure pro guarantees you’ll encounter highly relevant and challenging content.
And if you’re not satisfied, there’s a 30-day money-back guarantee through Udemy’s policies, protecting your investment.
By tackling these practice tests, you’ll gain insights into your strengths and weaknesses, enabling you to focus your studies more effectively.
With Duffy’s guidance and the comprehensive coverage, you’ll be well-equipped to not just pass, but excel on the AI-102 Azure AI Engineer exam.
Practice Exams | Microsoft Azure AI-102 | Azure AI Solution
The course covers all the essential topics you need to prepare for the Azure AI Engineer Associate certification exam.
You’ll start by learning how to plan and manage Azure AI solutions, including selecting the right services for computer vision, natural language processing, speech, generative AI, and more.
The course guides you through creating, deploying, and integrating these services into CI/CD pipelines.
It also teaches you how to monitor, secure, and manage costs for your AI solutions.
A major focus is on implementing specific AI solutions.
For content moderation, you’ll learn to use Azure AI Content Safety for text and image moderation.
The computer vision section covers analyzing images and videos, extracting text, object detection, and building custom vision models.
Natural language processing is a core part of the course.
You’ll work with Azure AI Language for text analysis, entity extraction, sentiment analysis, and language detection.
Speech processing with Azure AI Speech is covered in depth, including speech-to-text, text-to-speech, translation, and custom speech models.
Building language understanding models, question answering solutions, and multi-turn conversations are also included.
The knowledge mining portion teaches you to use Azure AI Search for indexing data sources and skillsets.
You’ll also implement document intelligence solutions with prebuilt and custom models for extracting data from documents.
Finally, you’ll dive into the exciting world of generative AI using Azure OpenAI Service.
From generating text and code to creating images with DALL-E, you’ll learn to leverage this powerful technology effectively.
Throughout the course, you’ll gain hands-on experience with REST APIs, Python, C#, and SDKs for building secure AI solutions aligned with responsible AI principles.
The practice tests simulate the actual exam, helping you gauge your readiness.
AI-102: Designing and Implementing a Microsoft Azure AI Solu
You will learn to plan and manage Azure Cognitive Services solutions, implement computer vision solutions, natural language processing solutions, knowledge mining solutions, and conversational AI solutions.
The course provides four complete simulated exams with over 220 unique questions based on the exam objectives.
These practical tests come with detailed explanations for each question, helping you identify your strengths and weaknesses.
You’ll have unlimited access to the course materials forever, ensuring you can revisit them whenever needed.
One of the key advantages of this course is its focus on practical tests.
By attempting these tests, you can improve your response skills and save time during the actual exam.
The course also offers regular updates, ensuring you have access to the latest content and exam updates.
It covers all the essential topics, including Azure Cognitive Services, computer vision, natural language processing, knowledge mining, and conversational AI solutions using the Microsoft Bot framework.
With its comprehensive simulated exams and detailed explanations, you can effectively assess your readiness and identify areas that need further attention.
Microsoft AI-102 Practice Test
You will learn how to architect AI solutions for various business problems like computer vision, natural language processing, and predictive analytics.
The course dives deep into implementing these solutions with Azure AI services such as Cognitive Services, Machine Learning, and Bot Service.
A key focus is on optimizing and monitoring the performance of your AI solutions to ensure they meet business requirements.
You’ll also explore the important concept of Responsible AI, learning how to design fair and ethical AI systems.
This course goes beyond just the theory by covering MLOps (Machine Learning Operations) - the process of managing and scaling machine learning models in production environments.
With hands-on training on the Azure AI platform, you’ll gain practical experience using the full suite of Azure AI tools.
The AI-102 is an advanced course, so prior knowledge of AI and machine learning concepts is recommended.
However, if you’re an AI engineer, data scientist, or ML engineer looking to take your skills to the next level, this comprehensive course could be an excellent investment.
You’ll walk away with the ability to design and implement cutting-edge AI solutions on Azure.