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Course Outline

  • Foundations of AGI
    • Definition and scope of AGI.
    • Key differences between AGI and narrow AI.
    • Historical background and milestones in AGI research.
  • Goals and Approaches to AGI
    • Understanding intelligence: human versus machine.
    • Key approaches to achieving AGI.
  • Applications and Opportunities
    • Potential use cases across various industries.
    • Enhancing human capabilities with AGI.
  • Summary and Next Steps
    • Recap of key points.
    • Open floor for questions and next steps.

 

  • Ethics and Challenges of AGI Development
    • Ethical concerns in AGI research.
    • Risks of misuse and unintended consequences.
  • Current Status and Future of AGI
    • Ongoing research and breakthroughs.
    • Challenges in achieving AGI.
  • Hands-On Activities
    • Case studies on AGI use cases.
    • Group discussions on AGI ethics.
    • Brainstorming future applications of AGI.
  • Summary and Next Steps
    • Recap of key points.
    • Open floor for questions and next steps.
  • Introduction
    • What is ChatGPT and how does it work?
    • Overview of ChatGPT for finance.
  • ChatGPT for Automation
    • Automating data entry with ChatGPT.
    • Generating financial reports with ChatGPT.
  • Summary and Next Steps
    • Recap of key points.
    • Open floor for questions and next steps.
  • ChatGPT for Data Analysis
    • Analyzing financial data with ChatGPT.
    • Extracting insights and making informed decisions with ChatGPT.
  • ChatGPT for Forecasting and Risk Management
    • Using ChatGPT for forecasting and predicting financial outcomes.
    • Mitigating financial risk with ChatGPT.
  • Summary and Next Steps
    • Recap of key points.
    • Open floor for questions and next steps.
  • ChatGPT for Natural Language Processing
    • Understanding natural language processing (NLP) with ChatGPT.
    • Leveraging NLP for financial text analysis and sentiment analysis.
  • Best Practices and Ethical Considerations
    • Tips for using ChatGPT effectively in finance.
    • Ensuring ethical use of ChatGPT in finance.
  • Future Developments and Trends
  • Future developments and trends in ChatGPT and finance.
  • Summary and Next Steps
    • Recap of key points.
    • Open floor for questions and next steps.

Requirements

Audience

  • Individuals interested in Artificial Intelligence.
 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 6500 € + VAT*

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