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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Raves & Praise
Kaycee Ekufu
MCSA
The instructor [Al Khalfan] was very knowledgeable in the field. He presented the materials and concepts with a professional touch. He also frequently adds humor to his teachings, which made it easier for me to understand. The support staff was all nice, gentle, caring, and very helpful. The materials, rooms and amenities were excellent and exceeded expected standards.
Ron Cwik
PMP Certification Training, 2008
Great training facility. Great instructors. Great experience.
Scott Wilson - Team Bradley
Employer Partner Feedback
Dawn has been a pleasure to work with. She is diligent in her efforts to give MicroTrain’s students the best opportunities to connect and network with various companies and players in the job market. The curriculums and certification programs are in line with today’s current IT needs. It’s good to see that they evolve with what employers are most seeking out there. I would recommend to any employer that hires skilled IT workers that they look into MicroTrain’s career services department as a potential source of candidates. The business of hiring can be quite costly, and Dawn and her staff provide a free service to outside companies. This value-add for MicroTrain’s students aligns with their mission in both training and job assistance to set up a win/win scenario for all involved.
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.
Jean S.
PMP Certification Training, Lombard, 2008
I was laid off for many months and not really getting many callbacks for my resume and no job offers. After I put the letters PMP on it, not only did I see an increase in quantity, but also quality of interviews. I had been spinning my wheels for 5 months, and after the PMP went on, I had 2 job offers in 6 weeks. It really was the "golden ticket"
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