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Course Outline
Introduction to Artificial General Intelligence (AGI)
- Definition and scope of AGI
- Key differences between AGI and narrow AI
- Historical background and milestones in AGI research
The Goals and Approaches of AGI
- Understanding intelligence: human vs. machine
- Key approaches to achieving AGI
- AGI frameworks and cognitive architectures
Applications and Opportunities of AGI
- Potential use cases in various industries
- Enhancing human capabilities with AGI
- Future scenarios and opportunities for innovation
Ethics and Challenges of AGI Development
- Addressing ethical concerns in AGI research
- Risks of misuse and unintended consequences
- Regulation and governance of AGI systems
Current Status and Future of AGI
- Ongoing research and breakthroughs
- Challenges in achieving AGI
- Long-term vision for AGI in society
Hands-On Activities
- Exploring AGI use cases through case studies
- Participating in discussions on AGI ethics
- Brainstorming future applications of AGI
Summary and Next Steps
Requirements
- Basic understanding of artificial intelligence concepts (optional)
Audience
- Tech enthusiasts
- Non-technical professionals interested in AI
7 Hours
Delivery Options
Private Group Training
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- Pre-course call with your trainer
- Customisation of the learning experience to achieve your goals -
- Bespoke outlines
- Practical hands-on exercises containing data / scenarios recognisable to the learners
- Training scheduled on a date of your choice
- Delivered online, onsite/classroom or hybrid by experts sharing real world experience
Private Group Prices RRP from €2280 online delivery, based on a group of 2 delegates, €720 per additional delegate (excludes any certification / exam costs). We recommend a maximum group size of 12 for most learning events.
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