Artificial Intelligence in Business provides a solid understanding of the fundamentals and applications of artificial intelligence (AI) within the business world. Through its instructional units, you will delve into the core concepts of AI, its historical development, and its modern-day significance. You will also learn about different types of AI, explore AI tools specifically designed for business, and understand the algorithms used in their implementation. Additionally, you will see how AI can transform business decision-making and process optimization. Key applications covered include people analytics, inventory and demand forecasting, customer segmentation, web recommendations, and business process improvement.
Sector-specific
50 hours
Desarrollo de IA
Artificial Intelligence in the Company
Artificial Intelligence in Business is aimed at professionals and students interested in understanding the potential of Artificial Intelligence in the business environment. Advanced technical knowledge is not required, but a basic understanding of AI concepts and familiarity with the business environment is recommended.
50 hours
Desarrollo de IA
Course objectives
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To understand the fundamentals of Artificial Intelligence and its historical evolution.
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To recognize the importance of AI in the business context and its transformative potential.
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To identify the different types of AI and understand the algorithms used in its implementation.
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To apply AI in the enterprise, such as People Analytics, stock prediction, customer segmentation and process improvement.
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To use AI to perform data analysis and gain valuable information for business decision making.
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To apply AI techniques for customer loyalty and market trend identification.
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To improve business processes using business AI tools.
What does it prepare you for?
Artificial Intelligence in Business equips you to effectively leverage AI in the business world. You will learn how to apply AI techniques and algorithms to analyze data, make data-driven decisions, and enhance business processes. This course provides practical insights into implementing AI across various areas, including People Analytics, inventory forecasting, web recommendation systems, and process optimization.
Teaching units
DIDACTIC UNIT 1. THE POTENTIAL OF ARTIFICIAL INTELLIGENCE
1. Introduction to artificial intelligence
2. History
3. The importance of AI
4. Types of artificial intelligence
5. Algorithms applied to artificial intelligence
DIDACTIC UNIT 2. APPLICATIONS IN BUSINESS
1. People Analytics
2. Prediction: stocks, demands, behaviors
3. Segmentation: Offer Analysis. Identification of Trends
4. Enhancing Customer Loyalty through Reinforcement Learning
5. Web Recommender Systems
6. Process improvement
DIDACTIC UNIT 3. RELATIONSHIP BETWEEN AI AND CHATBOTS
1. Chatbots and the role of Artificial Intelligence (AI)
2. Uses and benefits of chatbots
3. Difference between bots, chatbots and AI
DIDACTIC UNIT 4. AREAS OF APPLICATION OF CHATBOTS
1. Areas of Application of Chatbots
2. Development of a chatbot with ChatterBot and Python
3. Development of a chatbot for Facebook Messenger with Chatfuel