Introduction to artificial intelligence for machine learning using Microsoft Azure

Bag code: SCST2226021 Days: Two days "Today training 3 hours". Time: 6 training hours. Targeted participants: The participant will be able to understand the machine learning process of artificial intelligence and use Microsoft Azure to train a predictive model and deploy it. About the program: This program is about an introduction to artificial intelligence for machine learning using Microsoft Azure (definition – types – characteristics – goals – positives – negatives .. etc.) and will be presented through the following units: First training unit: The nature of artificial intelligence Second training unit: Artificial intelligence and machine learning Program objectives: - The trainee will recognize the design of the artificial intelligence architecture. - The trainee will infer recognition of dedicated artificial intelligence. - The trainee will be aware of evaluating AI systems using the dashboard. - The trainee will discuss how machine learning from Azure works. - The trainee will bring the trained AI model to the edge using Azure Stack Hub. - The trainee will deduce the architectural approaches of artificial intelligence and machine learning. Program topics: First unit: (The nature of artificial intelligence) Designing the AI architecture. Recognizing dedicated artificial intelligence. Evaluating AI systems using the dashboard. Second unit: (Artificial intelligence and machine learning) How machine learning from Azure works. Bringing the trained AI model to the edge using Azure Stack Hub. Architectural approaches for artificial intelligence and machine learning. Contents of the bag: PowerPoint 77 Trainer guide 79 Participant guide 73 Profile file 4 Activity bag 4 Mind maps 1 Images 24 Videos 4 References 4 Participant data form 3 Brochure 1 Bag contents 12 Training bag model Please click here to view the training bag model.