Course Outline


Overview of Artificial Intelligence (AI)

  • Machine learning systems

Exploring Applications for AI

  • AI in the corporate context

Learning About the Technology of AI

  • Underfit and overfit, classification, and regularization
  • Multi-layer perception (MLP) and deep learning
  • Convolutional and recurrent neural networks

Assessing Strategic Approaches

  • Commissioning or procurement (build or buy?)
  • AI maturity models for your organization

Working With Data in Your Organization

  • Data readiness evaluation
  • Word embeddings
  • Training with artificial data

Assessing AI Project Selection

  • Key criteria for project selection

Managing an AI Project

  • Machine learning versus deep learning
  • Project management (lifecycle, timescales, methodology)
  • Operations, maintenance, and risk management

Gathering Feedback

  • Implementing feedback methods (surveys, interviews, etc.)
  • Key stakeholders who will provide feedback
  • Analyzing results

Summary and Conclusion


  • Familiarity with programming
  • Basic understanding of algorithms


  • Business leaders
  • Project managers
  7 Hours


Related Courses

Prompt Engineering for AI Text and Image Generation

  14 hours

Leonardo AI: Creating AI Images and Talking Portraits

  14 hours

Midjourney for Image Generation

  14 hours

Introduction to DALL-E and DALL-E 2: Creating Images with AI

  7 hours


  14 hours

ChatGPT for Marketing

  14 hours

ChatGPT for SEO

  14 hours

ChatGPT for Executives

  14 hours

ChatGPT for Finance

  14 hours

ChatGPT for Customer Service

  14 hours

ChatGPT for Content Creation

  14 hours

ChatGPT for Data Science and Analytics

  14 hours

ChatGPT for E-commerce

  14 hours

ChatGPT for Social Media Management

  14 hours

ChatGPT for Healthcare

  14 hours