Industry Skills by INBIOT

This course provides a comprehensive overview of key Artificial Intelligence (AI) workloads and considerations, with a focus on Microsoft Azure’s AI tools and services. It is designed for individuals looking to understand how to effectively apply AI technologies in real-world scenarios using Azure’s cloud platform.

Topics covered :

• Artificial Intelligence Workloads and Considerations
  The course introduces various AI workloads such as image recognition, speech processing, and predictive analytics. It explains how these workloads operate, their business applications, and the key considerations for deploying them on Azure, including scalability, security, cost, and performance.

• Fundamental Principles of Machine Learning on Azure
  Participants will explore the core principles of machine learning (ML) and how they are implemented using Azure services. Topics include supervised and unsupervised learning, model training, evaluation, and deployment, as well as an introduction to Azure Machine Learning and its capabilities.

• Computer Vision Workloads on Azure
  The course delves into computer vision workloads, including image recognition, object detection, and facial recognition, using Azure’s powerful tools like Azure Cognitive Services. Learners will understand the features of Azure Vision services and how to integrate them into AI solutions for visual data processing.

• Natural Language Processing (NLP) Workloads on Azure
  An in-depth look at NLP workloads, this section covers language understanding, sentiment analysis, and text generation. Using Azure’s NLP services such as Text Analytics and Language Studio, participants will learn how to analyze and process text-based data for practical business solutions.

• Generative AI Workloads on Azure
  Finally, the course explores generative AI, focusing on technologies such as GPT models and other generative tools that can create new content, from text to images. Students will understand how Azure supports the development of generative AI solutions and the ethical considerations when using these technologies.