10+Years
Experienced Trainers
5+
Trainers
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Certified
4.7/5
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RatingSimpliaxis Azure Generative AI Certification course is tailored for technical professionals. This extensive program is designed to equip you with the knowledge, skills, and practical experience necessary to master the captivating field of generative artificial intelligence using Microsoft Azure's robust cloud platform.
This course is designed and delivered in collaboration with Kloudstac. In this comprehensive certification course on Azure Generative AI, students will delve into the cutting-edge world of artificial intelligence, focusing specifically on generative models. The course is crafted to equip learners with the knowledge and practical skills required to harness the power of Azure's advanced AI capabilities for generating synthetic data, images, text, and more.
The course includes hands-on exercises, projects, and real-world scenarios to prepare participants for deploying generative AI solutions across various domains. Upon successful completion of the Azure Generative AI Certification course and the capstone project, participants will receive certification from Simpliaxis, validating their proficiency in Azure Generative AI. This certification will demonstrate their ability to leverage Azure's powerful AI capabilities for generating synthetic data and content effectively.
Key Features
This involves understanding the basic principles behind generative artificial intelligence (AI), which focuses on creating new data rather than simply analyzing existing data. It includes learning about various algorithms and techniques used in generative AI and exploring its applications across different domains such as art generation, data augmentation, and content creation.
This entails familiarizing oneself with the generative AI services and tools offered by Microsoft Azure, a cloud computing platform. This may include services like Azure Machine Learning, Azure Cognitive Services, and Azure AI Platform, which provide capabilities for building, training, and deploying generative AI models.
This involves hands-on experience in training and deploying generative models using Azure's infrastructure and services. It includes tasks such as data preparation, model training, hyperparameter tuning, and deploying models to production environments on Azure.
This requires the ability to generate synthetic data, images, and text using generative AI techniques and Azure services. It involves understanding how to use these tools to create realistic and diverse synthetic data that can be used for various purposes such as training machine learning models and testing applications.
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