Microsoft Azure AI Fundamentals (AI-900) is an introductory certification that can unlock a world of possibilities in the growing field of artificial intelligence.
By mastering the core concepts of AI, including machine learning, computer vision, natural language processing, and conversational AI, you can become a valuable asset in various industries.
Whether you’re a tech enthusiast, a data scientist, or a cloud professional, understanding AI principles within the Azure ecosystem can open doors to exciting career opportunities.
Finding a high-quality AI-900 course on Udemy that provides a comprehensive and engaging learning experience can be challenging.
You want a course that goes beyond theory, offering practical hands-on projects, real-world examples, and thorough exam preparation.
After reviewing countless courses, we recommend AI-900 Azure AI Fundamentals Exam Prep In One Day - OCT 2023 as the best course overall on Udemy for preparing for the AI-900 exam.
This course stands out for its in-depth coverage of all essential AI-900 topics, combining comprehensive theory with practical exercises and real-world scenarios.
The instructor, an experienced AI professional, delivers clear explanations, valuable insights, and a well-structured curriculum that ensures you understand the concepts and apply them effectively.
While AI-900 Azure AI Fundamentals Exam Prep In One Day - OCT 2023 is our top pick, we also have several other courses that might be a better fit for your learning style or specific goals.
Keep reading for a complete list of recommendations for beginners, experienced professionals, and those seeking a more specialized approach to AI-900 certification preparation.
AI-900 Azure AI Fundamentals Exam Prep In One Day - OCT 2023
This course provides a solid foundation in understanding fundamental AI and machine learning concepts within the Azure ecosystem.
It’s particularly valuable for individuals looking to gain a comprehensive overview of AI and ML, especially if you’re new to the field.
You’ll start by exploring the core principles of AI and machine learning, delving into common AI workloads and the ethical considerations that accompany them.
The course then guides you through different types of machine learning, including deep learning, and emphasizes the importance of training and validation datasets.
You’ll also learn about key concepts like confusion matrices, TPR, FPR, and AUC, which are essential for evaluating model performance.
One of the strengths of this course is its hands-on approach.
You’ll get practical experience creating no-code models using Auto ML and Azure Machine Learning Workspace.
You’ll even have the opportunity to build a no-code model using Machine Learning Designer, giving you valuable insights into these powerful tools.
The course then moves on to explore computer vision workloads, showcasing how to utilize computer vision services like Custom Vision Service and Azure AI Video Indexer.
You’ll also learn about natural language processing (NLP) workloads and how to effectively use NLP services within Azure.
The syllabus has been updated as of November 2, 2023, to include a section on conversational AI workloads, covering the services available for building engaging conversational experiences.
You’ll also gain an understanding of generative AI, its common scenarios, and the ethical considerations that arise with this emerging technology.
It comprehensively covers the fundamentals of AI and ML on Azure, making it a valuable resource for anyone seeking to enter the field of cloud computing, especially on the machine learning side.
AI-900: Microsoft Azure AI Fundamentals in a Weekend
You’ll embark on a journey that covers the foundational concepts of AI, delving into the diverse types of AI workloads and their real-world applications.
You’ll then dive deep into Azure AI Services, formerly known as Cognitive Services, exploring pre-trained models that empower you to tackle tasks like computer vision, natural language processing, and decision-making.
Get ready to work hands-on with powerful APIs like Computer Vision, Text Analytics, and Translator, gaining valuable experience in using these tools for practical scenarios.
You’ll venture into the exciting realm of Generative AI, exploring the capabilities of ChatGPT and the Azure OpenAI API.
You’ll also learn how to build your own custom vision models using Azure’s Custom Vision service, a powerful tool for creating tailored solutions for image recognition.
This leads you into the world of Azure Machine Learning, where you’ll gain hands-on experience with automated machine learning, model evaluation techniques, and building custom ML models.
Throughout the course, you’ll gain a firm understanding of key concepts like Natural Language Processing (NLP), LUIS, and Responsible AI Principles, ensuring you’re well-equipped to navigate the ethical and practical considerations of AI development.
The course culminates with a focus on the Azure AI Fundamentals (AI 900) certification, an important credential for aspiring AI professionals.
This course is a valuable resource for anyone seeking a comprehensive introduction to AI and machine learning on Azure.
You’ll not only acquire valuable knowledge but also gain practical skills that will prepare you for a career in this dynamic field.
AI-900 Microsoft Azure AI Fundamentals Certification
This comprehensive course dives deep into the world of Artificial Intelligence on Azure, equipping you with the knowledge and skills to confidently tackle the AI-900: Microsoft Azure AI Fundamentals exam.
You’ll begin by exploring the diverse landscape of AI workloads, understanding the various tasks AI can handle, from predicting future events to detecting unusual patterns in data.
The course then delves into the fundamental principles of machine learning on Azure, covering concepts like algorithms and data sets.
You’ll get hands-on experience through engaging labs using Azure Machine Learning to create a workspace and build a machine learning pipeline for classification and regression tasks.
Next, you’ll explore the powerful features of computer vision workloads on Azure, focusing on services like the AI Vision service, Custom Vision, and the Face API.
These labs provide practical experience in analyzing images, extracting text, and recognizing faces.
You’ll also gain insights into Optical Character Recognition (OCR) and Azure AI Document Intelligence.
The course then transitions to Natural Language Processing (NLP) and Conversational AI workloads, exploring services like Text Analytics, Language Understanding Intelligence Service (LUIS), and Azure AI Translator.
You’ll also delve into the Speech service, which enables speech-to-text and text-to-speech capabilities.
The course culminates with an introduction to the QnA Maker service and the Bot Framework, essential tools for building engaging conversational AI experiences.
Throughout the course, you’ll gain practical experience using tools like POSTMAN and Visual Studio, enhancing your skills in creating and deploying AI applications on Azure.
You’ll also learn about Microsoft’s guiding principles for responsible AI, ensuring you build ethical and impactful AI solutions.
AI-900: Microsoft Azure AI Fundamentals Course - May 2022
You’ll begin with an exploration of Azure itself, learning how to navigate the portal and access its resources for free.
The course then delves into the diverse landscape of AI workloads, covering key areas like computer vision, natural language processing, and conversational AI.
A significant portion of the course focuses on the fundamentals of machine learning.
You’ll learn about different machine learning types, including classification, regression, and clustering, and discover how to leverage Azure to create and deploy your own models.
Expect hands-on experience with tools like Azure Machine Learning Studio, where you’ll work with datasets to train and validate your models.
The course also explores the fascinating world of Computer Vision, introducing you to applications like image classification, object detection, and semantic segmentation.
You’ll gain practical knowledge of services like Custom Vision Service, Face Service, and Form Recognizer Service, equipping you with the skills to implement these technologies in real-world projects.
Finally, the course delves into the world of Natural Language Processing (NLP) and conversational AI.
You’ll discover how to utilize services like LUIS (Language Understanding Service), Speech Service, and Translator Service to build NLP-powered applications.
You’ll also be introduced to the Bot Framework and QnA Maker, giving you the tools to create and deploy your own conversational AI solutions.
Throughout the course, you’ll engage with real-world scenarios, working through actual exam questions and practice tests to solidify your understanding.
AI-900 Course Azure AI Fundamentals with Virtual Simulations
You’ll get a comprehensive overview of various AI workloads, including anomaly detection, computer vision, natural language processing, and machine learning.
The course dives deep into core machine learning concepts, exploring regression, classification, and clustering, and guides you through building pipelines for data cleaning and evaluating results.
The course emphasizes hands-on experience, allowing you to interact directly with key Azure AI services.
You’ll learn to create resources, implement solutions, and explore the capabilities of services like Azure Machine Learning, Computer Vision, and Language.
The curriculum also delves into the exciting field of conversational AI, introducing you to bots, Power Virtual Agents, and the Azure Bot service.
You’ll be introduced to the latest advancements in generative AI with the Azure Open AI Service.
The course explores the different models, their applications, and the ethical considerations surrounding responsible AI.
The concluding lecture helps you consolidate your learning and points you towards further exploration and development in the field.
While the course provides a good introduction, it’s worth noting that it’s primarily geared towards beginners.
If you have prior experience with AI concepts or Azure services, you may find some sections relatively introductory.
Nevertheless, the comprehensive approach and practical exercises make it a valuable resource for anyone interested in building their foundation in Azure AI.
AI-900: Azure AI Fundamentals + 2 Practice Tests (Mar 2024)
You’ll dive deep into the fundamentals of AI, exploring various types of AI workloads like machine learning, computer vision, natural language processing, and conversational AI.
The course goes beyond theory, giving you hands-on experience with key Azure services like Azure Machine Learning and Azure Cognitive Services.
This practical approach allows you to apply what you learn in real-world scenarios, solidifying your understanding.
You’ll encounter a rich collection of Azure Cognitive Services, including the Custom Vision Service, which empowers you to train AI models for image recognition, and the Language Understanding (LUIS) service, enabling you to create intelligent conversational agents.
You’ll also learn about the Text Analytics Service, a powerful tool for extracting insights from textual data.
The course doesn’t shy away from practical application.
Practice tests are included, providing valuable opportunities to assess your understanding and ensure you’re prepared for the AI-900 exam.
The AI-900 certification you’ll earn is a valuable asset, opening doors to exciting opportunities in the rapidly evolving world of artificial intelligence.
AI-900 Azure AI Fundamentals Exam Prep In One Day
This AI-900 course is a solid foundation for anyone looking to dive into the world of Microsoft Azure AI.
It’s not just about theoretical concepts – it provides a practical roadmap for building your own AI solutions using Azure’s powerful tools.
You’ll appreciate the clear, structured approach, starting with essential AI principles like supervised learning and then seamlessly transitioning to real-world applications.
You’ll gain a strong grasp of computer vision, with hands-on experience in image recognition and object detection.
Natural Language Processing (NLP) is thoroughly covered, exploring everything from text analysis and sentiment analysis to language translation.
The exciting field of conversational AI also gets its due, with a focus on building chatbots and virtual assistants.
One of the course’s strengths is its deep dive into Azure’s AI services, like Azure Cognitive Services and Azure Machine Learning.
You’ll gain valuable experience with these tools, making you confident in applying them to real-world projects.
The emphasis on Microsoft’s responsible AI principles is also commendable, reminding you to build AI solutions that are fair, transparent, and respect privacy.
You’ll be familiar with powerful tools like Face API, Form Recognizer, and Custom Vision.
The course also includes practice tests to help you solidify your knowledge and ensure you’re ready to ace the AI-900 exam.
This course is a valuable investment for anyone seeking to gain a comprehensive understanding of Microsoft Azure AI and its practical applications.
Ultimate AI-900: Microsoft Azure AI Fundamentals 2022
You’ll start by understanding the fundamentals of AI and its diverse applications, from predicting future trends to analyzing images and text.
The course emphasizes the importance of responsible AI development, ensuring you use these powerful tools ethically.
Then, you’ll get hands-on with Azure Machine Learning, a cloud-based platform that empowers you to build and deploy your own AI models.
You’ll learn about different types of machine learning, master core concepts like datasets and algorithms, and become familiar with essential evaluation metrics.
Through engaging labs, you’ll create an Azure ML workspace, build a regression model using automated ML, and even train a classification model using Azure ML Designer.
The course delves deeper into specialized AI services like Computer Vision, where you’ll analyze images and text using Azure Computer Vision.
You’ll get to experiment with Custom Vision, building your own custom image recognition models.
You’ll also learn to analyze faces with Azure Face and even extract information from receipts using Azure Form Recognizer.
Next, you’ll explore the fascinating world of Natural Language Processing (NLP), using Azure Text Analytics to understand text sentiment and analyze its meaning.
You’ll work with Azure Speech, converting text to speech and vice versa.
You’ll even master the art of translation with Azure Translator, bridging language barriers for both text and speech.
The course also introduces Azure LUIS (Language Understanding), a powerful service that helps you build AI models to interpret natural language.
Finally, you’ll venture into the exciting field of Conversational AI, using Azure QnA Maker to build your own Q&A chatbot.
You’ll learn to create a fully functional bot with Azure Bot Service, bringing your chatbot to life.
Throughout the course, you’ll have access to practice tests and course slides, ensuring you’re well-prepared for the AI-900 exam.
This course will equip you with a solid foundation in Microsoft Azure AI Fundamentals, setting you on a path to confidently work with AI services in the real world.
AI-900: Microsoft Certified: Azure AI Fundamentals
This AI-900 course provides a solid foundation in Azure AI, catering to both those new to the field and those seeking to formalize their skills for the AI-900 certification.
You’ll start by exploring the core concepts of AI, including machine learning, computer vision, natural language processing, and conversational AI, all within the context of Microsoft Azure.
The course effectively breaks down the different types of AI workloads and their real-world applications, emphasizing the importance of responsible AI development.
One of the course’s strengths lies in its hands-on approach.
You’ll get to work directly with Azure AI services like the Vision service (for image analysis), the Language service (for text understanding and processing), and Document Intelligence (for extracting information from documents).
You’ll also gain experience with the Speech service and explore the potential of Azure Open AI for creating and using custom AI models.
Beyond the practical demonstrations, the course dives into the fundamentals of machine learning, covering different types of machine learning and how to identify features and labels.
This foundational understanding will equip you to effectively build and deploy AI models in the real world.
This course empowers you to apply these skills to real-world challenges, positioning you as a valuable asset in the rapidly evolving field of artificial intelligence.