MCA: Microsoft Azure AI Fundamentals
The AI-900 Certification Training is a 2-day instructor-led course that offers a comprehensive understanding of artificial intelligence (AI) concepts and principles. It aims to prepare participants for the Microsoft Certified: Azure AI Fundamentals certification (AI-900).
The training covers fundamental AI topics, including machine learning, deep learning, and neural networks. Participants learn about data collection, preprocessing, and transformation for building effective AI models. Ethical considerations, such as bias and transparency, are also explored, emphasizing responsible AI development and data privacy.
Microsoft Azure serves as the primary platform for AI development and deployment in this training. Learners gain hands-on experience with Azure AI services like Azure Cognitive Services and Azure Machine Learning. They work on practical exercises involving computer vision, natural language processing, and speech recognition.
Throughout the course, participants engage in demonstrations and exercises to reinforce their understanding of AI concepts. They learn to evaluate AI model performance, interpret results, and iterate for improvement.
Successful completion of the AI-900 Certification Training provides individuals with a solid foundation in AI principles and the necessary skills to pass the AI-900 certification exam. This certification validates their proficiency in applying AI concepts using Azure AI services, demonstrating their readiness to contribute to AI projects within organizations.
In summary, the AI-900 Certification Training offers a comprehensive overview of AI concepts, ethical considerations, and practical skills using Microsoft Azure AI services. Its main objective is to prepare learners for the AI-900 certification, highlighting their expertise in leveraging AI technologies for real-world applications.
About this Course
- Describe Artificial Intelligence workloads and considerations (20–25%)
- Describe fundamental principles of machine learning on Azure (25–30%)
- Describe features of computer vision workloads on Azure (15–20%)
- Describe features of Natural Language Processing (NLP) workloads on Azure (25–30%)
Exam Details
Exam: AI-900 Microsoft Azure AI Fundamentals
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