Artificial Intelligence Course

    This course provides participants with the AI literacy to be the business AI leader in their organizations, to understand AI concepts and use cases, to converse on a qualified level with the data specialists, to create an AI strategy and develop an AI ready organization, to know how to set up and run an AI project and to assess the make or buy decision of tooling.

Who should attend?

  • This course is designed for senior, middle, and high potential management who recognize that digital transformation and AI is unavoidable;
  • For those who understand that continuous improvement, innovation and disruption is part of doing business and want to be prepared and reap the benefits of Artificial Intelligence.

Course Outcomes​

  • Explain AI as a concept and all its applications
  • Apply the different AI applications in the business value chain
  • Demonstrate the technologies and algorithms behind AI
  • Apply best practices in an AI project with its activities
  • Assess the available and necessary skills and competencies
  • Discuss on a qualified level with business and data specialists on relevant topics
  • Create and execute an AI strategy and develop an AI ready organization

Course Outline

Data as fuel for AI
  • Structured and unstructured data
  • The 5 V’s of Data governance
  • Supervised learning
  • Unsupervised learning
  • Reinforcement learning
Analytics vs Artificial Intelligence
  • Looking back, now, forward 4 types of data analytics Analytics value chain
Running of AI projects
  • Machine learning life cycle
  • AI machine learning canvas
  • When to make and when to buy AI solutions
The data engineering platform
  • Just enough to understand the data architecture
  • Big data reference architecture
  • 3 categories of data usage
Ideation of AI projects
  • AI Funnel process
  • Several idea generation approaches
  • Prioritize projects
  • AI project canvas
AI opportunity matrix
  • Successful use cases by Porter’s value chain
  • Primary activities
  • Supporting activities
  • Successful use cases by technology
  • NLP
  • Image recognition Machine learning

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Working hours

Monday 9:30 am - 6.00 pm
Tuesday 9:30 am - 6.00 pm
Wednesday 9:30 am - 6.00 pm
Thursday 9:30 am - 6.00 pm
Friday Closed
Saturday Closed
Sunday 9:30 am - 5.00 pm
Artificial Intelligence Course
OMR 0.00