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
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D. Easter
PMP Certification Training, November 2008
Thanks Microtrain for conducting a great PMP course that set me on a successful path to obtain my PMP certification. I have passed the test!
Karine Bucci
Project Management
Great class, loved the interaction and team-building exercises. Plenty of materials and learning tools supplied. Although it was a full week's class, never boring. Donna [Russell] was awesome and gave many supporting examples for better understanding.
David
A Cisco Success Story
I attended a resume writing seminar & conducted mock phone interviews with a Microtrain career counselor. These two activities gave me a leg up on distinguishing myself from all the other people looking for work. Since the career counselor's at Microtrain had a track record of getting people hired, their insight and positive past experiences helped me tremendously in getting hired with a Cisco Voice Systems Integrator in the Chicago area. I was hired as a Cisco Voice Tech Engineer with a starting salary of $65,000 / year with a Cisco voice systems reseller located in the Chicagoland area. Microtrain was very instramental in making this a reality. From expediting my WIA grant, to providing excellent hands-on training from knowledgable instructors I was able to achieve becoming certified with my CCNP. Microtrain's career services was the final catalyst in connecting me with this company by communicating with them on my behalf and with me in setting up the interview. One week later and I was hired. No joke. Thanks Microtrain!
Robert Graf
MCSA
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Christopher Fowler
MCSA
Very thorough, good mix of lecture and lab work. Al is great! Keeps classes interesting and supplements required test material with need-to-know items from real world experience.
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