Generative AI Bootcamp - Oct 2024

Dates

• Level 1 - Wednesday 30 October 2024 (bookings close at 12noon Tuesday 29 October 2024 unless sold out prior)
• Level 2 - Monday 4 November 2024 (bookings close at 12noon Thursday 31 October 2024 unless sold out prior)
• Level 3 - Tuesday 19 November 2024 (bookings close at 12noon Friday 15 November 2024 unless sold out prior)

The AI series can be completed as a whole series or you can complete the individual levels based on your needs. Please note Level 1 is completed online and Level 2 and 3 are in-person.  

Learn how to effectively use AI in your workplace by building your AI Literacy.

This AI Literacy series gives you the tools to unlock real value from Generative AI, moving from basic prompt crafting to full-scale automation. In the Level 1 session, you’ll learn how to shape clear, effective prompts that get better results from AI, setting the stage for more advanced use cases. By Level 2 you’ll be creating reusable prompts and automating everyday workflows to save time and boost team efficiency. The final Level 3 session dives into automating entire processes, freeing up time for higher-level strategic work.

This course empowers you to streamline tasks, enhance productivity, and make Generative AI a part of your daily operations.

1. Level 1: Better Prompting (9am - 11am, online)

• Goal: Teach participants how to craft more effective prompts, moving from basic requests to more sophisticated, goal-oriented prompting.
  
• Content:
• Basic prompting techniques: Summarizing, answering questions, and simple tasks.
• Understanding the components of a strong prompt: audience, goal, task, success metrics.
• Practical exercises: Participants will improve real-world prompts using these elements.
• Learning Outcomes:
• Participants will develop the skills to construct clear and concise prompts that deliver better results from AI systems.

2. Level 2: Writing GPTs and Building Efficiency (9am - 1pm, in-person)

• Goal: Enable participants to build prompt libraries and generate repeatable AI processes.
• Content:
• Writing reusable GPT prompts for specific functions.
• Creating templates for team use and automating basic workflows.
• Leverage AI to generate more complex outputs like reports, summaries, and insights.
• How to measure success metrics and refine prompts.
• Practical Exercises:
• Participants will write prompts for their work contexts, building prompt libraries that can be shared within their teams or departments.
• Hands-on group activities focused on refining prompts based on feedback.
• Learning Outcomes:
• Participants will be able to create and refine AI-powered workflows, increasing efficiency in common tasks.
  
  

3. Level 3: Automating Workflow and Scaling AI (9am - 1pm, in-person)

• Goal: Help participants stack AI tasks to create automated end-to-end processes.
• Content:
• Introduction to task stacking: How to use AI to handle multiple tasks at once.
• Automating entire workflows from data entry to report generation.
• Calling multiple GPTs in one chat to streamline different processes simultaneously.
• AI as a strategic tool: Implementing AI-driven solutions for repetitive and labour-intensive tasks.
• Practical Exercises:
• Participants will design AI workflows specific to their roles, from start to end, automating daily tasks using stacked GPTs.
• Learning Outcomes:
• Participants will leave with the ability to design automated workflows that reduce manual intervention, freeing up time for higher-level strategic work.

Course Facilitators - Elsamari Botha and David Dempsey

Dr Elsamari Botha - is the MBA Director and a senior lecturer above the bar in Digital Transformation and Technology Preparedness at the University of Canterbury, New Zealand, and an extraordinary associate professor at the University of Stellenbosch Business School, South Africa. She attained her PhD at KTH Royal Institute of Technology, Stockholm, Sweden.

Elsamari was the Academic Director of Educate24 (a Media24 online education start-up); a research associate at the Institute for Futures Research (IFR); and a frequent speaker at Seamless Africa. Elsamari’s research focuses on online consumer behaviour, digital transformation, and digital disruption and its associated technologies. Elsamari has published in leading international journals.

David Dempsey - Dr David Dempsey is an Associate Professor at UC’s Department of Civil and Natural Resources Engineering. He delivers Generative AI training for the 800 undergraduates, PhD students, and staff within his department. His research uses Artificial Intelligence to provide advanced warning of volcanic eruptions, floods and wildfires. He has previously worked at Los Alamos National Laboratory, Stanford University, and the University of Auckland.

Price
- Full course (Level 1, 2 and 3) - $850pp
- Online session only (Level 1) - $150pp
- In-person session per level (half day) - $500pp

Course fees include GST, Humanitix booking fees and morning tea (all dietary requirements catered for)

Please note this course can be customised to your needs or delivered 'as is' in-house.