AI-900: Microsoft Azure Artificial Intelligence Fundamentals

Why take this course?
π AI-900: Microsoft Azure Artificial Intelligence Fundamentals π
Embark on a transformative learning journey with our comprehensive course designed to introduce you to the core principles and applications of Azure Artificial Intelligence (AI). With a focus on practical understanding, this course is perfect for both aspiring AI professionals and those looking to enhance their knowledge for certification purposes. πβ¨
Course Highlights:
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Latest Syllabus Coverage: This course is meticulously aligned with the newest syllabus guidelines, ensuring that you are learning the most up-to-date material.
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Flexible Learning Path: Whether you're planning to take the exam in the near future or just looking to gain a foundational understanding of AI, this course is crafted to accommodate your unique needs.
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Azure AI Journey Starter: Dive into the world of cloud computing with Azure AI. No prior coding experience required! We'll guide you through the basics to get you started on your AI journey.
What You'll Learn:
π Skills Measured:
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Responsible AI Considerations (15-20%)
- Understand common AI workloads and their considerations
- Recognize the importance of fairness, reliability, safety, privacy, security, inclusiveness, transparency, and accountability in AI solutions.
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Machine Learning Principles on Azure (30-35%)
- Identify various machine learning types and scenarios
- Grasp core machine learning concepts, including datasets, model evaluation metrics, and the machine learning process from data preparation to deployment.
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Azure Machine Learning Capabilities:
- Explore Azure's no-code solutions like the Automated Machine Learning tool and Azure Machine Learning Designer for effortless model creation and management.
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Computer Vision on Azure (15-20%)
- Discover the various types of computer vision solutions, such as image classification, object detection, semantic segmentation, optical character recognition, and facial recognition analysis.
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Natural Language Processing (NLP) Workloads on Azure (15-20%)
- Learn about key NLP workload scenarios like keyword extraction, entity recognition, sentiment analysis, language modeling, speech recognition, synthesis, and translation.
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Conversational AI Workloads on Azure (15-20%)
- Explore use cases for conversational AI, including chatbots, voice menus, and digital assistants, and understand the Azure services that support them, like QnA Maker and the Bot Framework.
Why Choose This Course?
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Hands-On Learning: Engage with real-world demos and practice tests to solidify your understanding of AI concepts and their application within Azure.
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Expert Instructor: Gain from the expertise of Divyanshu Mehta, an experienced course instructor who will provide you with the insights and knowledge needed to succeed in the field of AI.
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Practical Skills: Learn through practical examples and step-by-step guidance to ensure you can apply what you learn directly to Azure AI projects.
Get Ready to Certify!
Upon completion, you'll be well-equipped to take the Microsoft Azure Artificial Intelligence Fundamentals exam (AI-900) with confidence. This course is your stepping stone towards a successful career in AI and cloud computing with Microsoft Azure. π
Enroll today and unlock the potential of Azure AI! πβοΈ
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