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Prepares for Exam :
Designing and Implementing a Microsoft Azure AI Solution (AI-102)
Prepares for Certification :
Microsoft Certified: Azure AI Engineer Associate
Overview
Unlock the power of AI in Azure with our specialized training course. Learn to design and implement AI solutions using Azure AI technologies. From natural language processing to computer vision, this course covers all aspects of AI engineering. With hands-on labs and expert instruction, you'll gain the skills needed to pass the AI-102 exam and become certified as a Microsoft Azure AI Engineer. Enroll now and take your career to new heights with our comprehensive AI training and certification course.
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Who is this course for?
The Microsoft Certified Azure AI Engineer (AI-102) certification is for individuals with experience in designing and implementing AI solutions using Azure tools and services. The certification validates the ability to use Azure Cognitive Services, Machine Learning, and other AI technologies to build intelligent solutions. To obtain the certification, candidates must pass the AI-102 exam, which covers topics such as designing and implementing AI solutions, working with data storage and processing, building and deploying models using Azure Machine Learning, and natural language processing and computer vision technologies.
Curriculum
Preparation
At Readynez, we provide many resources and have experienced experts in the field. That is why we are also very successful with many satisfied customers. You can therefore safely take your course with us. In order to take the AI-102 Azure AI Engineer certification and course, however, some prerequisites are required.
You have the perfect starting point to take this course with these prerequisites:
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Proficiency in Microsoft Azure and its various services, especially those related to artificial intelligence and machine learning. Understanding of fundamental AI concepts such as machine learning, natural language processing (NLP), computer vision, and conversational AI. Experience in developing and deploying machine learning models using frameworks like TensorFlow, PyTorch, or Azure Machine Learning. Knowledge of data preparation, feature engineering, model training, and evaluation techniques. Familiarity with programming languages such as Python or R for data manipulation and model development. Understanding of data storage and management solutions, including SQL and NoSQL databases. Experience in deploying and managing applications in a cloud environment. Proficiency in using development tools like Visual Studio or Azure DevOps for building and deploying AI solutions. Strong problem-solving and analytical skills. Completion of relevant training or certification courses on Azure fundamentals and AI concepts is recommended.Meet some of the Readynez Instructors you can meet on your course. They are experts, passionate about what they do, and dedicated to give back to their industry, their field, and those who want to learn, explore, and advance in their careers.
Julian is an official Microsoft Business Application MVP and one of the most widely recognized experts on Dynamics 365.
Julian has been with Readynez almost since the start 11 years ago.
He has been an MCT since 2007 and he is a subject matter expert in all aspects of Dynamics 365 Customer Engagement through advice, optimization and training.
Julian has worked with Dynamics since first release and has over the past years used Azure to enhance solutions for users.
He is an official Microsoft Business Application MVP and is one of the most widely recognized experts for Power Platform and Dynamics 365 within the Microsoft Community.
He works as a Consultant on large international projects and and has extensive hands-on experience as well as numerous certifications.
Jens is a 20-year MCT, an Amazon Authorized Champion Instructor and a well accomplish Cloud Infrastructure Security Consultant and Penetration Tester.
Jens Gilges is a highly skilled professional with expertise in Azure, AWS, and Penetration Testing. With a remarkable 20-year tenure as a Microsoft Certified Trainer (MCT), Jens has honed his proficiency in various Microsoft technologies. Notably, he is not just a trainer but an industry leader, holding the prestigious title of AWS Champion Instructor.
Jens is dedicated to imparting his knowledge globally, delivering top-tier security and AWS training to clients across the world. His passion for these cloud platforms shines through in his engaging and informative sessions. Whether you're seeking insights into Azure's versatile capabilities, AWS's vast infrastructure, or the intricacies of Penetration Testing, Jens is your go-to expert.
With Jens at the helm, you can expect a comprehensive learning experience that combines years of expertise with a commitment to staying at the forefront of cloud technologies. Join him on a journey of continuous learning and explore the ever-evolving landscapes of Azure, AWS, and Penetration Testing.
FAQs
A Microsoft Certified Azure AI Engineer is a professional who has demonstrated expertise in designing and implementing AI solutions on the Microsoft Azure platform. This certification validates the individual's skills in leveraging Azure AI services to build AI models, implement natural language processing (NLP), and integrate AI solutions into Azure applications.
Microsoft Azure AI-102 exam comprises 40-60 questions of different types such as multiple-choice questions, scenario-based single-answer questions, arranged in the correct sequence type questions, mark review, drag & drop questions, and so on.
The AI-102 certification exam is priced at $165.
The passing score for the AI-102 exam (Microsoft Certified: Azure AI Engineer) is typically 700 out of 1000 points.
The time limit for the AI-102 exam (Microsoft Certified: Azure AI Engineer) is 180 minutes (3 hours).
The Microsoft Certified Azure AI Engineer certification is typically considered valid for two years.
Microsoft will send a reminder email six months before the certificate expiration date for renewal. It is essential to renew your certification before it expires to avoid retaking the exam and incurring additional costs.
The AI-102 exam does not have specific prerequisites, but it is recommended that candidates have knowledge and experience in certain areas before attempting the exam. Microsoft suggests that candidates should have practical experience designing and implementing AI solutions on Azure, including:
While the AI-102 exam (Microsoft Certified: Azure AI Engineer Associate) doesn't mandate specific prerequisites, candidates are strongly advised to possess practical experience in crafting and implementing AI solutions on Azure. The exam evaluates hands-on skills in utilizing Azure AI services. Proficiency in translating business requirements into AI solutions, designing and implementing AI models on Azure, implementing NLP workloads, and integrating AI models into applications is beneficial.
The difficulty of the AI-102 exam (Microsoft Certified: Azure AI Engineer) can vary based on an individual's experience, skills, and preparation. For candidates with a solid understanding of Azure services, hands-on experience in designing and implementing AI solutions, and familiarity with related technologies, the exam may be more manageable.
The duration needed to prepare for the AI-102 exam (Microsoft Certified: Azure AI Engineer) is contingent on an individual's existing knowledge, familiarity with Azure services, and the study time they allocate. Generally, candidates invest several weeks to a few months in exam preparation. The variability is influenced by factors such as study approach, time commitment, and individual learning style.
Specific salary figures for individuals holding the Microsoft Certified: Azure AI Engineer Associate (AI-102) certification can vary based on factors such as location, experience, industry, and the specific job role. The certification validates expertise in designing and implementing AI solutions on the Azure platform.
On average, professionals with AI and Azure expertise tend to command competitive salaries, often above the industry average for IT roles. As of 2021, a Microsoft Certified: Azure AI Engineer could expect a salary ranging from $90,000 to $130,000 annually, depending on the factors mentioned earlier.
The value of the Microsoft Certified: Azure AI Engineer Associate (AI-102) certification varies based on individual career goals, interests, and industry demands. Earning this certification can unlock diverse career opportunities, showcasing expertise in designing and implementing AI solutions on Azure. It serves as a recognized validation of skills, providing a competitive advantage in job markets where Azure certifications are highly valued. Additionally, the certification journey enhances knowledge through hands-on practice and aligns professionals with industry best practices, contributing to continuous professional development.
The AI-102 exam, a component of Microsoft Certified: Azure AI Engineer Associate, adopts a computer-based testing format. To initiate the process, candidates register via the official Microsoft Certification website. Subsequently, scheduling is facilitated through exam providers like Pearson VUE, offering flexibility for both in-person and online examination options.
This computer-based format encompasses various question types, including multiple-choice, case studies, and scenario-based questions. For candidates opting for online exams, adherence to specified technical requirements is imperative. The examination day involves a check-in process that includes ID verification before candidates embark on the timed test.
Prepare for the AI-102 certification exam by understanding Microsoft's official exam objectives and using diverse study materials like documentation and recommended resources. Enroll in online courses for structured learning and hands-on practice through virtual labs or Azure services. Take practice exams to assess your knowledge, engage with the AI community, and stay informed about industry trends. Manage time effectively, review progress regularly, and adapt your study plan to reinforce theoretical knowledge with practical experience. Stay updated on Azure AI services and potential changes to the exam format.
The Microsoft Certified: Azure AI Engineer Associate (AI-102) certification can open doors to various job opportunities in the field of artificial intelligence and cloud computing. Here are some potential roles:
The AI-102 certification exam, part of Microsoft Certified: Azure AI Engineer Associate, can be taken through Pearson VUE, the authorized exam delivery provider for Microsoft certifications.
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