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Course Outline

Introduction to Artificial Intelligence (AI), Machine Learning (ML) and Data Science

  • AI in a historical context and combinatorial technologies
  • Introduction to AI: Concepts, narrow vs. general AI, and different types of AI
  • AI capabilities: Sense, reason, act
  • The cognitive core of AI: Machine learning
  • Advanced Analytics compared to Artificial Intelligence
  • Evolution: Past, present, and future perspectives
  • Four types of data analytics
  • The analytics value chain
  • Algorithms explained without technical jargon
  • Supervised learning
  • Unsupervised learning
  • Reinforcement learning
  • Data as the fuel for AI
  • Structured and unstructured data; The 5 V's of data
  • Data governance
  • The data engineering platform
  • Essential knowledge for understanding data architecture
  • Big data reference architecture
  • Three categories of data usage

AI Opportunity Matrix

Successful use cases mapped to Porter's value chain

  • Primary activities
  • Supporting activities

Successful use cases mapped by technology

  • Natural Language Processing (NLP)
  • Image recognition
  • Machine learning

Ideation of AI Projects

  • The AI funnel process
  • Various approaches to idea generation
  • Project prioritization techniques
  • The AI project canvas

Execution of AI Projects

  • The machine learning life cycle
  • The AI machine learning canvas
  • Strategic decision-making: When to build versus when to buy AI solutions

Transforming into an AI-Ready Organization

  • Utilizing the AI strategy cycle
  • Key dimensions of the AI framework
  • Practical approach to assessing organizational AI maturity
  • Optimal organizational structures for AI
  • Benefits of establishing an AI Center of Excellence
  • Essential skills and competencies

AI and Ethics

  • Identifying risks associated with AI
  • Adhering to ethical guidelines
  • Realizing trustworthy AI systems
 35 Hours

Custom Corporate Training

Training solutions designed exclusively for businesses.

  • Customized Content: We adapt the syllabus and practical exercises to the real goals and needs of your project.
  • Flexible Schedule: Dates and times adapted to your team's agenda.
  • Format: Online (live), In-company (at your offices), or Hybrid.
Investment

Price per private group, online live training, starting from 8000 € + VAT*

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