EENI Global Business School

AI Technologies and Tools for Global Business



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Supervised Learning, Generative AI. Translation and analytics

Artificial Intelligence (AI) for Global Business (Online Course
Course: AI for Global Business

This subject explores the fundamentals of Supervised Learning, Generative AI, Translation, and Analytics for Global Business, equipping learners with the skills to build, interpret, and apply AI-driven models for data analysis and visualization. It emphasizes practical applications in industries like global commerce, where AI enhances decision-making through predictive modeling, content generation, language processing, and data insights.

Syllabous

  1. Core AI technologies: Supervised/unsupervised learning, deep learning, and generative AI.
  2. Training on tools like Power BI, Tableau with AI plugins, ChatGPT, and Python (for business cases)
  3. AI tools for business: Data analytics platforms, CRM systems, and automation software.
  4. Introduction to no-code/low-code AI platforms (e.g., Google Cloud AI, Google Vertex AI, IBM Watson, Microsoft Azure AI, etc).
  5. AI Tools for translation, automation, and analytics
  6. APIs for sentiment analysis, recommendation systems, etc.
    1. Case Study: Global e-commerce Retailer
  7. Simulation of International Business scenarios using AI models
    1. Case Study: Brazil’s Intelligent Tech & Trade Initiative, MonsoonSIM, PwC AI Accelerator, and Heineken’s supply chain
  8. Data visualization of global trends with AI-generated insights
    1. Sample Visualizations for Global Commerce Trends

Online Student Master in International Business


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