Course Code: bocatoolbesp
Duration: 7 hours
Overview:

Objectives:

  • Equip employees with a comprehensive understanding of Generative AI (GenAI)
  • Provide a historical overview and foundational knowledge of GenAI and its workings
  • Introduce various GenAI tools and their strengths and weaknesses
  • Offer hands-on experience in creating and refining prompts for GenAI
  • Demonstrate practical applications of GenAI in writing, reading, and conversational contexts
  • Explore industry-specific use cases, particularly in logistics and finance
  • Highlight the potential of GenAI to enhance business processes and drive innovation
  • Emphasise the importance of responsible and ethical use of AI technologies
  • Enable participants to integrate GenAI into their daily workflows effectively
  • Address potential concerns and provide strategies for overcoming challenges in AI implementation
Course Outline:

1. Introduction (10 minutes)

  • Brief welcome and session objectives. - Theoretical
  • Overview of the AI landscape. - Theoretical
  • How GenAI Works - Theoretical
  • LLMs as partners for thought - Theoretical
  • AI is a general purpose tool - Theoretical

2. GenAI as a partner for thought (40 minutes)

  • LLMs as partners for thought - Theoretical
  • Writing - Theoretical/Practical
  • Reading - Theoretical/Practical
  • Chatting - Theoretical/Practical
  • What LLMs can and cannot do - Theoretical

3. Current AI Tools Overview (40 minutes)

  • Applications of Generative AI
  • Tools for Text Generation. - Theoretical/Practical
  • Tools for Image Generation - Theoretical/Practical
  • Tools for Audio and Video Generation - Theoretical/Practical
  • Tools for Code Generation - Theoretical/Practical
  • Strengths and weaknesses of each tool. - Theoretical
  • Compare AI tools. - Theoretical
  • Interactive Q&A session. - Theoretical

4. Prompt Engineering for Generative AI (2 hours)

  • What Is a Prompt? - Theoretical
  • What Is Prompt Engineering? - Theoretical
  • Best Practices for Prompt Creation - Theoretical/Practical
  • Common Prompt Engineering Tools - Theoretical
  • Text-to-Text Prompt Techniques - Theoretical/Practical
  • Interview Pattern Approach - Theoretical/Practical
  • Chain-of-Thought Approach - Theoretical/Practical
  • Tree-of-Thought Approach - Theoretical/Practical

5. Generative AI in Business (20 minutes)

  • Day-to-day usage of web UI LLMs - Theoretical
  • Task analysis of jobs - Theoretical
  • New workflows and new opportunities. - Theoretical
  • Automation potential across sectors - Theoretical
  • Concerns about AI - Theoretical
  • Responsible AI - Theoretical

6. Industry-Specific Applications (3 hours)

  • Research and Development - Theoretical/Practical
  • Marketing and Sales - Theoretical/Practical
  • Regulatory Compliance - Theoretical/Practical
  • Logistics Scenario - Practical
  • Finance Scenario - Practical

7. Q&A and Wrap-Up (10-20 minutes)

  • Open floor for questions
  • Recap of key points
  • Next steps and additional resources