Program in Artificial Intelligence in the Enterprise la salle campus barcelona

Program in Management of Artificial Intelligence in the Enterprise

Delve into the world of AI and discover its business application

Nid: 25386
Syllabus
Part 1: Fundamentals of Artificial Intelligence in Business - 5 ECTS

1. Introduction to Artificial Intelligence in the company

  • Definition of Artificial Intelligence (IA)
    • Key concepts and basic terminology
    • Key features of Ai
    • Machine Learning
    • Natural Language Processing (NLP)
    • Computer vision
    • Autonomous reasoning and decision-making
    • Robotics and Physical Artificial Intelligence
  • Current landscape of AI in the business environment
    • Recent trends and advances in AI
    • Impact of AI on different industries
    • Identification of opportunities to implement AI in different business areas
    • Hands-on Workshop: Design Thinking applied to AI to solve specific business challenges
  

2. Integrating AI into business processes

  • AI in decision-making and process automation
  • AI tools and platforms
  • Generative AI and its application in business
  • Practical workshop: definition and prioritization of AI projects in the company
  

3. AI Project Management and leadership

  • Agile methodologies and AI-specific project management
  • Organizational Change Management for AI adoption
  • Strategies for integrating AI into the enterprise value chain
  • Practical workshop: planning an AI project applicable to each participant's company

4. Data Analytics and Data Strategy for AI

  • Data Management and quality for AI projects
  • Infrastructure and technology architecture needed for AI
  • AI integration with existing systems and processes
  • Practical workshop: assessorament of data maturity in the company and action plan

5. Success stories and lessons learned in AI implementation

  • Sector studies: banking, retail, health, manufacturing, among others
  • Analysis of challenges and solutions in real AI projects
  • Practical workshop: critical analysis of case studies and application of learning in their own contexts

6. Masterclasses by experts

  • AI and innovation in business
  • Emerging applications and future trends of AI
  • Data Science and Artificial Intelligence applied to business
Part 2: Implementation and Governance of Artificial Intelligence - 10 ECTS

1. AI regulatory environment and policies

  • AI regulatory framework in the European Union: the EU AI regulation 2024
  • Legal and compliance implications for businesses
  • Industry-specific regulations and their impact on AI projects
  • Practical workshop: adapting internal AI policies in light of new regulations
  

2. Ethics and responsability in AI

  • Risk and security management in AI projects
  • Bias in algorithms and how to mitigate it
  • Development of internal ethical policies for the responsible use of AI
  • Practical workshop: ethical assessment of AI models in business case studies
  

3. AI governance and strategy in the organization

  • Creating an effective AI governance framework
  • Roles and responsabilities in AI management and oversight
  • Culture of innovation and technological adoption in the company
  • Practical workshop: design of an AI governance plan tailored to each participant's organization

4. Measuring impact and return on investment (ROI) in AI projects

  • Establishing KPIs and success metrics for AI initiatives
  • Cost-benefit analysis and justification of AI investments
  • Success stories in demonstrating added value to the business
  • Hands-on workshop: developing an ROI model for a specific AI project

5. Practical implementation of AI projects

  • In-house development vs. outsourcing: advantages, challenges and strategic considerations
  • Strategies for the effective execution of AI projects
  • AI integration with existing systems and data management
  • Hands-on workshop: detailed planning of the execution of a real AI project in a business scenario

6. Specialized masterclasses

  • AI and business ethics
  • AI in the energy sector
  • AI and business sustainability
  • AI and the future of work

7. Final project and presentations

  • Development of a customized AI implementation plan for each participant's company
  • Mentoring and personalized advice from AI experts
  • Final project presentations and group discussion
  • Detailed feedback and recommendations for the viability of the projects