• 6 Sections
  • 20 Lessons
  • Lifetime
Expand all sectionsCollapse all sections
  • Introduction to AI and Machine Learning
    4
    • 1.0
      Overview of AI and its impact on various industries
    • 1.1
      Historical context and evolution of AI
    • 1.2
      Understanding the role of AI in the modern workplace
    • 1.3
      Ethical considerations and responsible AI practices
  • Network effects and learning effects
    4
    • 2.0
      Introduction to machine learning, deep learning, and natural language processing
    • 2.1
      Data preprocessing and feature engineering
    • 2.2
      Overview of popular AI tools and frameworks (e.g., TensorFlow, PyTorch)
    • 2.3
      Hands-on exercises using AI development environments
  • The AI Factory
    2
    • 3.0
      Sentiment analysis, text summarization, and language translation
    • 3.1
      Implementing NLP projects in a business context
  • The AI-first Company
    3
    • 4.0
      Basics of computer vision and image processing
    • 4.1
      Object detection, image classification, and facial recognition
    • 4.2
      Real-world applications of computer vision in industries
  • Ethics of AI and Data
    4
    • 5.0
      Aligning AI with business goals
    • 5.1
      ROI and cost-benefit analysis of AI implementations
    • 5.2
      Identifying key performance indicators (KPIs) for AI projects
    • 5.3
      Developing a roadmap for AI integration in business processes
  • Driving organizational transformation
    3
    • 6.0
      Emerging technologies in AI
    • 6.1
      Industry-specific trends and advancements
    • 6.2
      Preparing for the future of AI in the workplace

AI on the job – Boost Your Skills and Get Ahead

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