1. Introduction and Context
- Introduction and evolution of artificial intelligence
- AI applications in business
- When to apply Ai and when not
- When does AI add value?
- Traditional business and AI, and AI-based business models
- Workshop: design thinking applied to AI
- Tools for defining AI solutions in the company
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2. AI in Practice
- AI and decision-making
- AI and process automation
- Examples and hands-on exercises of application in companies
- Generative AI and AI tools
- How do we identify the ideal tool for our task? (Audio/video/image/text/tables/etc)
- Workshop: defining challenges
- Selection and design of AI solution applied to a chosen challenge (Udio/Perplexity/ElevenLabs/NoteGPT/EverART/LivePortrait/etc)
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3. Business Applications of AI
- AI and data analysis
- Machine Learning models: predictive analysis, customer segmentation, anomaly detection, etc.
- Application of AI in business
- Use of AI in price optimization, sentiment analysis, demand forecasting
- Workshop: developing a project
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4. AI Strategy
- AI strategies in business
- How to include AI in the company’s strategic plans? The importance of aligning AI with business strategy
- AI value chain and AI project management
- Workshop: strategy and leadership with AI
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5. Implications of AI for Proper Management
- AI and digital transformation
- AI risks and security
- AI ethics
- AI regulation and policy
- Workshop: ethical assessment of AI models
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6. AI Management and Governance
- Implementation of an AI strategy in an organization
- Managing the risks of an AI solution
- Data analytics and decision-making tools supported by AI models
- Fraud detection using Amazon Fraud Detection
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7. AI Project
- Planning the execution of an AI project
- Own development vs outsourcing
- Implementing an AI project in a business scenario
- Workshop: applying AI
- Development a chatbot for customer service, creating a machine learning model to predict customer churn
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8. Final Project Presentation and Debate
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