Generative AI Essentials

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. This course has an 18+ age restriction.

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