Artificial intelligence in work

Bag code: SCSAI46315021 Days: 3 days Today’s training: 5 hours Time: 15 training hours Targeted participants: employees / business owners / entrepreneurs / anyone interested in artificial intelligence. Program overview: This program revolves around artificial intelligence in work. (Definition – types – characteristics – goals – positives – negatives .. etc.) It will be presented through the following units: First training unit: The nature of artificial intelligence and developing administrative work. Second training unit: Administrative work skills and dealing with smart machines. Third training unit: Employees’ strengths and weaknesses and data algorithms. Program objectives: - The trainee will follow an introduction to artificial intelligence and its history. - The trainee will conclude that distinguished management and developing administrative work. - The trainee will use the connection between emotional intelligence and artificial intelligence. - The trainee will pay attention to dealing with smart machines as colleagues at work. - The trainee will mention how to make decisions based on the outputs of smart applications. - The trainee will conclude the best models for use in processing big data. Program axes: First unit: (The nature of artificial intelligence and developing administrative work) Introduction to artificial intelligence and its history. The fourth industrial revolution and the third era of automation. Means and tools through which AI-based programs can be created. Distinguished management and developing administrative work. Second unit: (Administrative work skills and dealing with smart machines) Administrative work skills with smart technology. Connecting emotional intelligence and artificial intelligence. Delegating part of administrative tasks to artificial intelligence. Dealing with smart machines as colleagues at work. Third unit: (Employees’ strengths and weaknesses and data algorithms) Identifying employees’ strengths and weaknesses using smart applications. How to make decisions based on the outputs of smart applications. Algorithms used to analyze big data and machine learning. Optimal models for use in processing big data. Contents of the bag: PowerPoint 81 Trainer’s guide 77 Trainee’s guide 67 Profile file 4 Activities bag 8 Mind maps 1 Images 7 Videos 3 References 3 Trainee data form 3 Brochure 1 Bag contents 12 Training bag model Please click here to view the training bag model