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Course Outline
Day 1
1. Foundations of AGI
a) Definition and scope of AGI
b) Key differences between AGI and narrow AI
c) Historical background and milestones in AGI research
2. Goals and Approaches to AGI
a) Understanding intelligence: human vs. machine
b) Key approaches to achieving AGI
3. Applications and Opportunities
a) Potential use cases across various industries
b) Enhancing human capabilities with AGI
4. Summary and Next Steps
a) Recap of key points
b) Open floor for questions and next steps
Day 2
1. Ethics and Challenges of AGI Development
a) Ethical concerns in AGI research
b) Risks of misuse and unintended consequences
2. Current Status and Future of AGI
a) Ongoing research and breakthroughs
b) Challenges in achieving AGI
3. Hands-On Activities
a) Case studies on AGI use cases
b) Group discussions on AGI ethics
c) Brainstorming future applications of AGI
4. Summary and Next Steps
a) Recap of key points
b) Open floor for questions and next steps
Day 3
1. Introduction
a) What is ChatGPT and how does it work?
b) Overview of ChatGPT for finance
2. ChatGPT for Automation
a) Automating data entry with ChatGPT
b) Generating financial reports with ChatGPT’
3. Summary and Next Steps
a) Recap of key points
b) Open floor for questions and next steps
Day 4
1. ChatGPT for Data Analysis
a) Analyzing financial data with ChatGPT
b) Extracting insights and making informed decisions with ChatGPT
2. ChatGPT for Forecasting and Risk Management
a) Using ChatGPT for forecasting and predicting financial outcomes
b) Mitigating financial risk with ChatGPT
3. Summary and Next Steps
a) Recap of key points
b) Open floor for questions and next steps
Day 5
1. ChatGPT for Natural Language Processing
a) Understanding natural language processing (NLP) with ChatGPT
b) Leveraging NLP for financial text analysis and sentiment analysis
2. Best Practices and Ethical Considerations
a) Tips for using ChatGPT effectively in finance
b) Ensuring ethical use of ChatGPT in finance
3. Future Developments and Trends
Future developments and trends in ChatGPT and finance
4. Summary and Next Steps
a) Recap of key points
b) Open floor for questions and next steps
Requirements
Audience
- People interested in Artificial Intelligence
35 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 £9500 online delivery, based on a group of 2 delegates, £3000 per additional delegate (excludes any certification / exam costs). We recommend a maximum group size of 12 for most learning events.
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