Expertly crafted course designed to thoroughly prepare IT professionals and aspiring AI engineers for the Azure AI Engineer Associate certification. This course meticulously simulates the real certification exam environment, providing participants with a realistic experience of the actual exam.
Each mock exam in the course covers a wide range of topics, including Azure Machine Learning, AI services, and knowledge mining solutions, ensuring a deep and broad understanding of the Azure AI ecosystem. The questions are curated to reflect the complexity and style of the official exam, focusing on practical applications and scenario-based problem-solving to test both theoretical knowledge and practical skills.
This course is not just about answering questions; it provides detailed explanations for each answer, helping learners understand the 'why' behind each solution. This approach enhances conceptual clarity and aids in long-term retention of information.
With regular updates to keep pace with Microsoft's evolving AI technologies and exam patterns, this course is an invaluable resource for anyone aiming to achieve the Azure AI Engineer Associate certification. It's ideal for IT professionals seeking to validate their expertise in designing, implementing, and monitoring AI solutions on Microsoft Azure.
Is it possible to take the practice test more than once?
Certainly, you are allowed to attempt each practice test multiple times. Upon completion of the practice test, your final outcome will be displayed. With every attempt, the sequence of questions and answers will be randomized.
Is there a time restriction for the practice tests?
Indeed, each test comes with a time constraint of 120 seconds for each question.
What score is required?
The target achievement threshold for each practice test is to achieve at least 70% correct answers.
Do the questions have explanations?
Yes, all questions have explanations for each answer.
Am I granted access to my responses?
Absolutely, you have the opportunity to review all the answers you submitted and ascertain which ones were correct and which ones were not.
Are the questions updated regularly?
Indeed, the questions are routinely updated to ensure the best learning experience.
Additional Note: It is strongly recommended that you take these exams multiple times until you consistently score 90% or higher on each test. Take the challenge without hesitation and start your journey today. Good luck!
Empower yourself with the power of AI to streamline your work and unlock hidden insights!
This hands-on course is designed for non-technical professionals who want to understand and leverage the power of Artificial Intelligence (AI) in their everyday corporate tasks. You'll learn the fundamentals of AI through engaging classification and prediction projects directly applicable to your specific job functions.
No prior coding experience required! This course will equip you with the knowledge and skills to:
Decode the jargon: Demystify AI terminology and understand how it applies to your work.
Explore the power of classification: Learn how to use AI to categorize data, automate tasks, and improve decision-making.
Master prediction techniques: Discover how to predict future outcomes, trends, and customer behavior using AI models.
Dive into real-world projects: Apply your newfound knowledge to practical projects relevant to your specific role, such as:
Marketing: Predicting customer churn, identifying potential leads, and optimizing campaign performance.
Finance: Detecting fraudulent transactions, forecasting financial trends, and optimizing risk management.
Human Resources: Improving employee hiring and retention, predicting skill gaps, and streamlining recruitment processes.
Operations: Optimizing logistics and supply chains, predicting equipment failures, and improving resource allocation.
Unlock your data's potential: Learn how to access and analyze data from your organization to feed AI models and gain valuable insights.
Build your confidence: Gain practical skills and knowledge to confidently discuss and implement AI solutions in your workplace.
By the end of this course, you'll be:
Empowered with practical AI skills: Apply your newfound knowledge to solve real-world problems in your daily work.
Confident in your understanding of AI: Communicate effectively about AI with colleagues and clients.
Prepared for the future: Stay ahead of the curve as AI continues to transform the workplace.
Empower yourself with the power of AI to streamline your work and unlock hidden insights!
This hands-on course is designed for non-technical professionals who want to understand and leverage the power of Artificial Intelligence (AI) in their everyday corporate tasks. You'll learn the fundamentals of AI through engaging classification and prediction projects directly applicable to your specific job functions.
No prior coding experience required! This course will equip you with the knowledge and skills to:
Decode the jargon: Demystify AI terminology and understand how it applies to your work.
Explore the power of classification: Learn how to use AI to categorize data, automate tasks, and improve decision-making.
Master prediction techniques: Discover how to predict future outcomes, trends, and customer behavior using AI models.
Dive into real-world projects: Apply your newfound knowledge to practical projects relevant to your specific role, such as:
Marketing: Predicting customer churn, identifying potential leads, and optimizing campaign performance.
Finance: Detecting fraudulent transactions, forecasting financial trends, and optimizing risk management.
Human Resources: Improving employee hiring and retention, predicting skill gaps, and streamlining recruitment processes.
Operations: Optimizing logistics and supply chains, predicting equipment failures, and improving resource allocation.
Unlock your data's potential: Learn how to access and analyze data from your organization to feed AI models and gain valuable insights.
Build your confidence: Gain practical skills and knowledge to confidently discuss and implement AI solutions in your workplace.
By the end of this course, you'll be:
Empowered with practical AI skills: Apply your newfound knowledge to solve real-world problems in your daily work.
Confident in your understanding of AI: Communicate effectively about AI with colleagues and clients.
Prepared for the future: Stay ahead of the curve as AI continues to transform the workplace.
Are you looking to get yourself certified on Microsoft AI-900 ?
Congrats, you are at right place. Enroll and get certified yourself.
This course is very carefully crafted so that you can easily pass the AI-900 exam and become proud by earning Microsoft Azure AI Fundamentals Certification.
Thinking why to choose this one only ?
Comprehensive Explanations: Questions are supported by crisp and clear explanation so that you can learn why this option is correct.
Exhaustive Course Coverage: These practice exam covers even more than AI-900 exam, leaving no stone in your preparation.
Describe Artificial Intelligence workloads and considerations
Describe fundamental principles of machine learning
Describe features of computer vision workloads
Describe features of Natural Language Processing (NLP) workloads
Describe features of generative AI workloads
Domain based Practice Exam Experience: Domains are provided for every questions so that you can identity area of improvements.
Sample Question
You are developing a conversational AI solution that will communicate with users through multiple channels including email, Microsoft Teams, and webchat. Which service should you use?
A. Text Analytics
B. Azure Bot Service
C. Translator
D. Form Recognizer
Explanation-
For developing a conversational AI solution that interacts with users across multiple channels like email, Microsoft Teams, and webchat, the most suitable service is:
B. Azure Bot Service
Here's why:
Azure Bot Service is specifically designed for building, deploying, and managing bots: It provides a comprehensive platform for handling user interactions, natural language processing (NLP), and integration with various channels.
Multiple channel support: Azure Bot Service seamlessly connects your bot to popular platforms like Teams, webchat, email, and even social media channels like Facebook Messenger. This eliminates the need for separate development for each channel.
NLP capabilities: Built-in NLP features handle user queries, understand intent, and generate appropriate responses. You can also integrate with Azure LUIS for more advanced conversational understanding.
Scalability and reliability: Azure Bot Service offers robust infrastructure to handle large volumes of users and ensure consistent performance across different channels. Although the other options might be relevant in specific scenarios, they are not ideal for your case:
Text Analytics (A): Provides tools for text analysis and extraction, but doesn't handle user interactions or manage bots.
Translator (C): Focuses on language translation and wouldn't be needed unless your bot requires multilingual communication.
Form Recognizer (D): Extracts data from structured forms, which might be useful for specific tasks within the bot, but not the core functionality for a conversational AI solution.
Therefore, Azure Bot Service is the most comprehensive and efficient option for building your multi-channel conversational AI solution. Remember, while Azure Bot Service is a great choice for Microsoft-based solutions, there are other platforms like Google Dialogflow and Amazon Lex that cater to other environments. The best choice ultimately depends on your specific needs and technical ecosystem.
Exam Details
Skills Measured in AI-900 Exam
The English language version of this exam will be updated on January 31, 2024. Review the study guide linked in the preceding “Tip” box for details about the skills measured and upcoming changes.
Describe Artificial Intelligence workloads and considerations (15–20%)
Describe fundamental principles of machine learning on Azure (20–25%)
Describe features of computer vision workloads on Azure (15–20%)
Describe features of Natural Language Processing (NLP) workloads on Azure (15–20%)
Describe features of generative AI workloads on Azure (15–20%)
No of questions:
You can expect around 40-60 questions in the AI-900 exam.
AI-900 Exam Duration:
Exam type: Fundamentals Exams
Exam duration - 45 minutes
Seat duration - 65 minutes
AI-900 Exam Passing Criteria
All technical exam scores are reported on a scale of 1 to 1,000.
A passing score is 700 or greater. you need to score at least 70% to pass this exam.
Good luck! Wishing you nothing but the best.
Who this course is for:
Any AI Technology Professional
IT Professionals - Those wanting to expand their expertise by diving into Microsoft Azure.
Business Analysts: Individuals seeking to understand AI Azure to better align tech and business strategies.
Entrepreneurs: Startup founders and business owners looking to leverage cloud AI solutions for scalability.
PM: Tech PMs aiming to better manage Azure AI-related projects with foundational knowledge.
Freelancers: Tech consultants aiming to broaden their AI service offerings with Azure capabilities.
University Students: Computer Science or IT students desiring an edge in the AI job market.
Solution Architects: AI Professionals seeking to design solutions on Azure and wanting a foundational understanding.
Tech Beginner: Individuals new to the tech industry looking to grasp AI fundamental cloud concepts.
Are you looking to get yourself certified on Microsoft AI-900 ?
Congrats, you are at right place. Enroll and get certified yourself.
This course is very carefully crafted so that you can easily pass the AI-900 exam and become proud by earning Microsoft Azure AI Fundamentals Certification.
Thinking why to choose this one only ?
Comprehensive Explanations: Questions are supported by crisp and clear explanation so that you can learn why this option is correct.
Exhaustive Course Coverage: These practice exam covers even more than AI-900 exam, leaving no stone in your preparation.
Describe Artificial Intelligence workloads and considerations
Describe fundamental principles of machine learning
Describe features of computer vision workloads
Describe features of Natural Language Processing (NLP) workloads
Describe features of generative AI workloads
Domain based Practice Exam Experience: Domains are provided for every questions so that you can identity area of improvements.
Sample Question
You are developing a conversational AI solution that will communicate with users through multiple channels including email, Microsoft Teams, and webchat. Which service should you use?
A. Text Analytics
B. Azure Bot Service
C. Translator
D. Form Recognizer
Explanation-
For developing a conversational AI solution that interacts with users across multiple channels like email, Microsoft Teams, and webchat, the most suitable service is:
B. Azure Bot Service
Here's why:
Azure Bot Service is specifically designed for building, deploying, and managing bots: It provides a comprehensive platform for handling user interactions, natural language processing (NLP), and integration with various channels.
Multiple channel support: Azure Bot Service seamlessly connects your bot to popular platforms like Teams, webchat, email, and even social media channels like Facebook Messenger. This eliminates the need for separate development for each channel.
NLP capabilities: Built-in NLP features handle user queries, understand intent, and generate appropriate responses. You can also integrate with Azure LUIS for more advanced conversational understanding.
Scalability and reliability: Azure Bot Service offers robust infrastructure to handle large volumes of users and ensure consistent performance across different channels. Although the other options might be relevant in specific scenarios, they are not ideal for your case:
Text Analytics (A): Provides tools for text analysis and extraction, but doesn't handle user interactions or manage bots.
Translator (C): Focuses on language translation and wouldn't be needed unless your bot requires multilingual communication.
Form Recognizer (D): Extracts data from structured forms, which might be useful for specific tasks within the bot, but not the core functionality for a conversational AI solution.
Therefore, Azure Bot Service is the most comprehensive and efficient option for building your multi-channel conversational AI solution. Remember, while Azure Bot Service is a great choice for Microsoft-based solutions, there are other platforms like Google Dialogflow and Amazon Lex that cater to other environments. The best choice ultimately depends on your specific needs and technical ecosystem.
Exam Details
Skills Measured in AI-900 Exam
The English language version of this exam will be updated on January 31, 2024. Review the study guide linked in the preceding “Tip” box for details about the skills measured and upcoming changes.
Describe Artificial Intelligence workloads and considerations (15–20%)
Describe fundamental principles of machine learning on Azure (20–25%)
Describe features of computer vision workloads on Azure (15–20%)
Describe features of Natural Language Processing (NLP) workloads on Azure (15–20%)
Describe features of generative AI workloads on Azure (15–20%)
No of questions:
You can expect around 40-60 questions in the AI-900 exam.
AI-900 Exam Duration:
Exam type: Fundamentals Exams
Exam duration - 45 minutes
Seat duration - 65 minutes
AI-900 Exam Passing Criteria
All technical exam scores are reported on a scale of 1 to 1,000.
A passing score is 700 or greater. you need to score at least 70% to pass this exam.
Good luck! Wishing you nothing but the best.
Who this course is for:
Any AI Technology Professional
IT Professionals - Those wanting to expand their expertise by diving into Microsoft Azure.
Business Analysts: Individuals seeking to understand AI Azure to better align tech and business strategies.
Entrepreneurs: Startup founders and business owners looking to leverage cloud AI solutions for scalability.
PM: Tech PMs aiming to better manage Azure AI-related projects with foundational knowledge.
Freelancers: Tech consultants aiming to broaden their AI service offerings with Azure capabilities.
University Students: Computer Science or IT students desiring an edge in the AI job market.
Solution Architects: AI Professionals seeking to design solutions on Azure and wanting a foundational understanding.
Tech Beginner: Individuals new to the tech industry looking to grasp AI fundamental cloud concepts.
En este curso te embarcarás en un viaje a través del mundo del Arte Generativo con IA, una experiencia que despertará tu creatividad y expandirá tus horizontes artísticos. Aprenderás por qué dominar una variedad de herramientas de IA es esencial para convertirte en un artista de IA completo y versátil.
Cada herramienta de IA tiene su especialidad única: MidJourney es excepcional para crear imágenes fotorrealistas, pero no es la herramienta ideal para el inpainting; ahí es donde destaca Leonardo AI. Sin embargo, cuando se trata de personalización de imágenes, las bibliotecas de Stable Diffusion son insuperables. ¿Y qué hay de las necesidades de escalar, relumbrar o editar imágenes? Adobe Firefly es tu solución. Esta diversidad de herramientas te permitirá abordar cualquier reto creativo.
A lo largo del curso, explorarás tecnologías innovadoras como DALL-E, Stable Diffusion (SD) e Images AI, que están redefiniendo el proceso de creación artística. Te sumergirás en el mundo de las herramientas de edición fotográfica con IA y descubrirás todo el potencial de Fooocus, Adobe Firefly, RunwayML, Leonardo AI, Playground, etc para crear obras maestras impresionantes.
Este curso no solo ampliará tus habilidades técnicas, sino que también te inspirará a experimentar y explorar nuevas fronteras en el arte digital.
¿Qué Aprenderás?
Fundamentos y Aplicaciones de la IA Generativa: Desde los conceptos básicos hasta las aplicaciones complejas, explorando cómo la IA está redefiniendo el arte con tecnologías como ChatGPT y DALL-E.
Generación de Imágenes con IA: Domina la creación de imágenes impresionantes con GANs, Neural Style Transfer y modelos de difusión, abordando temas como legalidad y copyright.
MidJourney - Tu Camino Creativo: Descubre cómo usar MidJourney para transformar tus ideas en arte visual, con prácticas en ingeniería de prompts y configuración de estilo.
DALL-E y Más Allá: Aprende técnicas avanzadas con DALL-E de OpenAI, desde edición hasta personalización de imágenes y 'outpainting'.
Leonardo AI y Nuevas Herramientas: Explora la versatilidad de Leonardo AI y herramientas emergentes como Foocus y Adobe Firefly.
Edición Avanzada de Imágenes y Videos con IA: Avanza en la edición de imágenes y generación de videos con herramientas de vanguardia como Playground, D-ID, MagicEraser, Lensa y más.
Este curso es ideal para artistas, diseñadores y cualquier persona interesada en el arte digital y la IA, ofreciendo una oportunidad única para explorar y expandir sus habilidades creativas en el emocionante campo del Arte Generativo con IA. ¡Desata tu potencial y lleva tu creatividad a nuevas alturas!
En este curso te embarcarás en un viaje a través del mundo del Arte Generativo con IA, una experiencia que despertará tu creatividad y expandirá tus horizontes artísticos. Aprenderás por qué dominar una variedad de herramientas de IA es esencial para convertirte en un artista de IA completo y versátil.
Cada herramienta de IA tiene su especialidad única: MidJourney es excepcional para crear imágenes fotorrealistas, pero no es la herramienta ideal para el inpainting; ahí es donde destaca Leonardo AI. Sin embargo, cuando se trata de personalización de imágenes, las bibliotecas de Stable Diffusion son insuperables. ¿Y qué hay de las necesidades de escalar, relumbrar o editar imágenes? Adobe Firefly es tu solución. Esta diversidad de herramientas te permitirá abordar cualquier reto creativo.
A lo largo del curso, explorarás tecnologías innovadoras como DALL-E, Stable Diffusion (SD) e Images AI, que están redefiniendo el proceso de creación artística. Te sumergirás en el mundo de las herramientas de edición fotográfica con IA y descubrirás todo el potencial de Fooocus, Adobe Firefly, RunwayML, Leonardo AI, Playground, etc para crear obras maestras impresionantes.
Este curso no solo ampliará tus habilidades técnicas, sino que también te inspirará a experimentar y explorar nuevas fronteras en el arte digital.
¿Qué Aprenderás?
Fundamentos y Aplicaciones de la IA Generativa: Desde los conceptos básicos hasta las aplicaciones complejas, explorando cómo la IA está redefiniendo el arte con tecnologías como ChatGPT y DALL-E.
Generación de Imágenes con IA: Domina la creación de imágenes impresionantes con GANs, Neural Style Transfer y modelos de difusión, abordando temas como legalidad y copyright.
MidJourney - Tu Camino Creativo: Descubre cómo usar MidJourney para transformar tus ideas en arte visual, con prácticas en ingeniería de prompts y configuración de estilo.
DALL-E y Más Allá: Aprende técnicas avanzadas con DALL-E de OpenAI, desde edición hasta personalización de imágenes y 'outpainting'.
Leonardo AI y Nuevas Herramientas: Explora la versatilidad de Leonardo AI y herramientas emergentes como Foocus y Adobe Firefly.
Edición Avanzada de Imágenes y Videos con IA: Avanza en la edición de imágenes y generación de videos con herramientas de vanguardia como Playground, D-ID, MagicEraser, Lensa y más.
Este curso es ideal para artistas, diseñadores y cualquier persona interesada en el arte digital y la IA, ofreciendo una oportunidad única para explorar y expandir sus habilidades creativas en el emocionante campo del Arte Generativo con IA. ¡Desata tu potencial y lleva tu creatividad a nuevas alturas!
Merhaba, Google Bard AI Masters & Yapay Zeka Eğitimize, ismim Turan. Eğitim de Google Bard Yapay Zeka Modelini ve yapay zeka alanında en kaliteli, kullanışlı ve farklı alanlarda işlevi olan alternatif yapay zeka modellerini etkin ve yetkin şekilde kullanabilmeyi sizlere öğreteceğim.
Öğrendiğiniz bu Yapay Zeka Modelleri ile her alan kendinize ve işinize katma değer katacak, kendinizi her alanda geliştirebilecek, rakiplerinizin önüne kolayca geçebileceksiniz.
KURSTA ÖĞRETİLEN YAPAY ZEKA MODELLERİ;
Majör Yapay Zeka Modeli;
Google Bard Yapay Zeka Modeli
Alternatif Yapay Zeka Modelleri;
Dall-E-2 Yapay Zeka Modeli
PishWish Yapay Zeka Modeli
Unscreen Yapay Zeka Modeli
Photoaid Yapay Zeka Modeli
Kursla İlgili ;
Zeka Modellerini etkin, yetkin ve verimli şekilde kullanmayı öğreneceksiniz.
Yapay Zeka Modellerinin temel ve ileri seviye özelliklerini kullanabilmeyi öğreneceksiniz.
Yapay Zeka Modelleri ile etkili ve doğru iletişim kurabilmeyi öğreneceksiniz.
Yapay Zeka Modelleri ile farklı alanlarda farklı senaryolarda çalışabilmeyi öğreneceksiniz.
Yapay Zeka Modellerini kullanarak maddi ve manevi kazanımlar elde edebilmeyi öğreneceksiniz.
Kursun Avantajı ve Diğerlerinden Farkı Nedir ?
Eğitim içerisindeki bağlantıdan Telegram gurubuma dahil olacaksınız ve o guruptan bana ulaşıp, eğitimde anlamadığınız yerleri ve platform ile alakalı sorularınızı 7/24 sorma fırsatı yakalayacak sonsuza kadar komşum olacaksınız.
Değişken platform koşulları göz önünde bulundurulduğunda, bu eğitim sonsuza kadar sürekli güncellenecek ve en yeni bilgileri sizlere sunmaya devam edeceğim.
-Turan Geze
''Aslan için hiçbir şey imkânsız değildir.''
Merhaba, Google Bard AI Masters & Yapay Zeka Eğitimize, ismim Turan. Eğitim de Google Bard Yapay Zeka Modelini ve yapay zeka alanında en kaliteli, kullanışlı ve farklı alanlarda işlevi olan alternatif yapay zeka modellerini etkin ve yetkin şekilde kullanabilmeyi sizlere öğreteceğim.
Öğrendiğiniz bu Yapay Zeka Modelleri ile her alan kendinize ve işinize katma değer katacak, kendinizi her alanda geliştirebilecek, rakiplerinizin önüne kolayca geçebileceksiniz.
KURSTA ÖĞRETİLEN YAPAY ZEKA MODELLERİ;
Majör Yapay Zeka Modeli;
Google Bard Yapay Zeka Modeli
Alternatif Yapay Zeka Modelleri;
Dall-E-2 Yapay Zeka Modeli
PishWish Yapay Zeka Modeli
Unscreen Yapay Zeka Modeli
Photoaid Yapay Zeka Modeli
Kursla İlgili ;
Zeka Modellerini etkin, yetkin ve verimli şekilde kullanmayı öğreneceksiniz.
Yapay Zeka Modellerinin temel ve ileri seviye özelliklerini kullanabilmeyi öğreneceksiniz.
Yapay Zeka Modelleri ile etkili ve doğru iletişim kurabilmeyi öğreneceksiniz.
Yapay Zeka Modelleri ile farklı alanlarda farklı senaryolarda çalışabilmeyi öğreneceksiniz.
Yapay Zeka Modellerini kullanarak maddi ve manevi kazanımlar elde edebilmeyi öğreneceksiniz.
Kursun Avantajı ve Diğerlerinden Farkı Nedir ?
Eğitim içerisindeki bağlantıdan Telegram gurubuma dahil olacaksınız ve o guruptan bana ulaşıp, eğitimde anlamadığınız yerleri ve platform ile alakalı sorularınızı 7/24 sorma fırsatı yakalayacak sonsuza kadar komşum olacaksınız.
Değişken platform koşulları göz önünde bulundurulduğunda, bu eğitim sonsuza kadar sürekli güncellenecek ve en yeni bilgileri sizlere sunmaya devam edeceğim.
-Turan Geze
''Aslan için hiçbir şey imkânsız değildir.''
Welcome to Exam AI-900 Microsoft Azure AI Fundamentals Practice Test Verified QA Updated
Get Practice Tests Verified Questions Answers including Hotspot and Drag drop
Mastering the basics in AI can help you jump-start your career and get ready to dive deeper into the other technical opportunities Azure offers. AI opens doors into possibilities that might have seemed like science fiction only yesterday. Using AI, you can build solutions, improve your apps, and advance technology in many fields, including healthcare, financial management, and environmental protection, to name just a few.
The Microsoft Certified: Azure AI Fundamentals certification could be a great fit for you if you'd like to:
Prove that you have the AI skills it takes to build a better world. Earning your Azure AI Fundamentals certification can supply the foundation you need to build your career and demonstrate your knowledge of common AI and machine learning workloads—and what Azure services can solve for them.
Validate your foundational knowledge of machine learning and AI concepts, along with related Azure services.
Data science and software engineering experience are not required. However, you would benefit from having awareness of:
Basic cloud concepts
Client-server applications
AI-900 Exam Topics :-
Describe Artificial Intelligence workloads and considerations
Describe fundamental principles of machine learning on Azure
Describe features of computer vision workloads on Azure
Describe features of Natural Language Processing (NLP) workloads on Azure
Describe features of generative AI workloads on Azure