AI-900 Microsoft Azure AI Fundamentals Certification

Why take this course?
🎉 AI-900 Microsoft Azure AI Fundamentals Preparation Course 🎓
Course Instructor: Alan Rodrigues
Headline: Update Your Skills with the Latest AI Insights on Microsoft Azure!
Course Description (v2.0 - July 2023):
Objective: This course serves as an invaluable preparation tool for students aiming to successfully pass the Exam AI-900: Microsoft Azure AI Fundamentals. With comprehensive content designed around the objectives of the exam, you'll be well-equipped to demonstrate your understanding of AI workloads and the fundamental principles of machine learning on Azure, among other key areas.
Course Highlights:
🧠 Describe AI workloads and considerations (15-20%): Dive into the foundational aspects of AI workloads and learn about the various factors to consider when deploying AI solutions.
🤖 Describe fundamental principles of machine learning on Azure (30-35%): Get a grasp on what machine learning is, its applications, and hands-on labs that will guide you through the Azure Machine Learning service.
👀 Describe features of computer vision workloads on Azure (15-20%): Explore the capabilities of Azure's Computer Vision service, including the Custom Vision service, Face service, and Form Recognizer service.
🗣️ Describe features of Natural Language Processing (NLP) workloads on Azure (15-20%): Understand the intricacies of NLP with insights into services like Text Analytics, Language Understanding Intelligence Service, and Speech service.
💬 Describe features of conversational AI workloads on Azure (15-20%): Learn about conversational AI with practical examples of QnA Maker and the Bot Framework.
Hands-On Labs:
The course includes a series of labs that will give you practical experience with Azure's Machine Learning and Artificial Intelligence services. These labs are designed to complement the theoretical knowledge acquired from the course content, providing you with a holistic understanding of AI on Azure.
Why Take This Course?
- Exam Preparation: Tailored for the AI-900 exam, this course covers all the objectives you need to master.
- Real-World Scenarios: Learn through real-world examples and applications of AI technologies on Azure.
- Expert Instructor: Alan Rodrigues, an experienced professional in AI and machine learning, guides you through the course.
- Up-to-Date Content: The latest updates ensure that the content is relevant and aligned with current Azure services and features.
- Interactive Learning: Quiz questions at the end of each section help reinforce your knowledge and prepare you for the exam.
Embark on your AI journey today with this comprehensive and updated AI-900 Microsoft Azure AI Fundamentals Preparation Course. Whether you're a beginner or looking to refresh your skills, this course will provide you with the knowledge and tools necessary to succeed in the world of AI on Azure. 🌟
Course Gallery




Loading charts...
Comidoc Review
Our Verdict
The AI-900 Microsoft Azure AI Fundamentals Preparation Course offers a strong foundation in AI concepts and hands-on experience with Microsoft Azure's AI tools. While there are minor issues with pacing, technical difficulties, and gaps in the curriculum, the course still provides valuable insights and resources to help you prepare for the certification exam. Keeping in mind that this is an introductory course, student feedback highlights its effectiveness in teaching fundamental concepts and preparing learners for practical applications of AI and machine learning.
What We Liked
- Comprehensive coverage of fundamental AI concepts in Microsoft Azure
- Hands-on approach with practical examples, such as using POSTMAN to call AI REST API services
- Instructor's clear explanations of topics and concepts
- Includes practice tests that help assess knowledge and prepare for the certification exam
Potential Drawbacks
- Some students found pacing issues, with lectures sometimes being delivered too rapidly
- Occasional technical difficulties, like audio disappearing or labs being poorly written
- A few gaps in the curriculum, such as missing modules on Generative AI and Azure OpenAI Service
- Lack of detailed explanations for some practice test questions