Further Details | |
---|---|
Course Code | LA18209 |
Location | Yale |
Duration | Part Time, 3 hours Thu 9:00-12:00 |
Department | Digital Technologies, Computing & IT |
Start Date | 19 Jun 2025 |
End Date | 19 Jun 2025 |
Course Overview
Generative AI Essentials is a comprehensive 3-hour course designed to introduce you to the dynamic world of generative artificial intelligence, particularly focusing on its implications and applications in the business sector. The course begins with foundational knowledge, introducing participants to Large Language Models like ChatGPT. It then delves into practical applications, from content creation to data analysis, while also addressing the strengths, limitations, and ethics relevant to AI use. The course concludes with insights on effective implementation strategies and a glimpse into the future of what generative AI might hold.
The course will cover -
Introduction to Generative AI
● What is a Large Language Model (LLM)?
● What are LLMs capable of?
● Vendor landscape
Strengths and Limitations of Generative AI
● Strengths of Generative AI
○ Scalability
○ Cost-effectiveness
○ Rapid content generation
○ High quality outputs for many domains
○ Human-like language capabilities
○ Versatile - can adapt to new domains
○ Constantly improving
● Limitations and Challenges
○ May generate incorrect or nonsensical content
○ Lack of deeper reasoning
○ Biases in AI
○ Quality control issues
○ The risk of over-reliance
Ethical Considerations and Best Practice
● Ensuring Responsible Use
○ Verification and accuracy
○ Bias and limitations
○ Accountability
● Privacy and data security
○ Data handling
○ Copyright
● Inclusive and fair access
○ Accessibility
○ Equitable Access
Applications of Generative AI
● Prompt Engineering
○ The importance of the quality prompts - getting the basics right
○ Creating dialogues and personas and role-playing scenarios
● Content Creation
○ Text generation - summarization, translation, creative writing
○ Marketing copy, blogs, and reports
○ Writing assistance - emails, reports, content creation
○ Data processing and analysis
○ Research and market analysis
○ Summarising large texts or data
○ Assisting in trend analysis
○ Automatic code generation
○ Automating repetitive tasks
○ Image generation
● Customer Support and Interaction
○ Customer Service and Chatbots
○ Personalised responses and interactive websites
● Automation and Efficiency
○ Process automation scripts
○ Generating templates and data-driven reports
● Implementing Generative AI - Choosing the right tool
Future of Generative AI in Business
● Emerging trends and developments
● Long-term technology roadmap
● Economic and workforce impacts
● Developing an AI strategy for your business
The course will cover -
Introduction to Generative AI
● What is a Large Language Model (LLM)?
● What are LLMs capable of?
● Vendor landscape
Strengths and Limitations of Generative AI
● Strengths of Generative AI
○ Scalability
○ Cost-effectiveness
○ Rapid content generation
○ High quality outputs for many domains
○ Human-like language capabilities
○ Versatile - can adapt to new domains
○ Constantly improving
● Limitations and Challenges
○ May generate incorrect or nonsensical content
○ Lack of deeper reasoning
○ Biases in AI
○ Quality control issues
○ The risk of over-reliance
Ethical Considerations and Best Practice
● Ensuring Responsible Use
○ Verification and accuracy
○ Bias and limitations
○ Accountability
● Privacy and data security
○ Data handling
○ Copyright
● Inclusive and fair access
○ Accessibility
○ Equitable Access
Applications of Generative AI
● Prompt Engineering
○ The importance of the quality prompts - getting the basics right
○ Creating dialogues and personas and role-playing scenarios
● Content Creation
○ Text generation - summarization, translation, creative writing
○ Marketing copy, blogs, and reports
○ Writing assistance - emails, reports, content creation
○ Data processing and analysis
○ Research and market analysis
○ Summarising large texts or data
○ Assisting in trend analysis
○ Automatic code generation
○ Automating repetitive tasks
○ Image generation
● Customer Support and Interaction
○ Customer Service and Chatbots
○ Personalised responses and interactive websites
● Automation and Efficiency
○ Process automation scripts
○ Generating templates and data-driven reports
● Implementing Generative AI - Choosing the right tool
Future of Generative AI in Business
● Emerging trends and developments
● Long-term technology roadmap
● Economic and workforce impacts
● Developing an AI strategy for your business
In an interactive session participants will emerge with a holistic understanding of how generative AI can be harnessed
There are no formal entry requirements, although users are expected to be familiar with the basics of computer and internet use
The course provides you with the necessary knowledge and tools to help you learn the subject
£62.50
Useful downloads
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