Our two-day workshop is designed to provide participants with in-depth knowledge and practical skills in generative AI and its use in a specific industry. This program is engaging, practical and delivers real value to improve your industry-specific processes.
Target Audience:
- Industry Professionals: Interested in integrating generative AI into their processes.
- Managers and business owners: Looking for ways to optimize their processes with generative AI.
- Looking to learn more about how generative AI can be used to solve specific problems.
Course Objectives:
The goal of this workshop is to equip participants with a solid foundation in generative AI, introduce them to the latest trends and technologies, and demonstrate practical applications to improve processes in their specific industry. Through hands-on exercises and group discussions, participants will:
- Understand the practical application of generative AI and its integration into everyday work.
- They will improve process efficiency and accuracy.
- They will discover innovative approaches to solving work challenges.
What You Will Take Away:
- Deeper Understanding of Generative AI.
- Practical Skills: Learn how to effectively use generative AI tools and technologies in your projects.
- Open the door to new possibilities and ways to improve processes in your industry.
Outline:
Day 1:
- Introduction and Industry Overview.
- Introductory welcome and agenda overview.
- Brief introduction to generative AI and its relevance to [specific industry].
- Detailed description of what generative AI is and what its capabilities are.
- Specific use cases in [specific industry], highlighting successful implementations.
- Deep Dive into Use Cases
- Detailed analysis of different use cases within [specific industry].
- Discussion of specific solutions, best practices and lessons learned.
- Presentation of case studies from other companies in [specific industry].
- Discussion of the effort required for these projects and their impact.
- Project Complexity Assessment.
- A framework for assessing the complexity of AI projects.
- Criteria for classifying projects into quick wins and complex projects.
- How to recognize and prioritize quick win projects.
- Strategies for turning complex projects into manageable quick wins.
- Prototyping and Idea Generation.
- Techniques for rapid prototyping complex AI projects and simplifying them.
- Hands-on exercises in building prototypes.
- Using your own GPT to brainstorm and generate project ideas.
- Interactive sessions where participants use the tool to generate AI project ideas.
Day 2:
- Framework for Opportunity Analysis.
- Overview of the framework for analyzing AI opportunities in [specific industry].
- How to use this framework to identify and evaluate potential projects.
- Hands-on exercises where participants analyze opportunities using the framework.
- Group discussions to refine and prioritize ideas.
- Developing Your Own GPT Solutions.
- A step-by-step guide to designing and developing your own GPT models.
- Best practices for tailoring GPTs to specific industry needs.
- Hands-on exercises in creating custom GPT models based on analyzed opportunities.
- Testing and iterating models to meet requirements.
- Practical Deployment and Evaluation
- Strategies for deploying AI solutions in an organization.
- Practical considerations for integrating AI into existing workflows.
- Key Performance Indicators (KPIs) for evaluating the success of AI projects.
- Methods for continuous improvement and scaling up successful projects.
- Final Project Presentations
- Participants present their developed custom GPT solutions to the group.
- Feedback and discussion on the potential impact and improvements of each project.
- Q&A, final thoughts and feedback.
- Summary of key learnings and next steps for participants.
Technical Requirements:
- Laptop with internet connection
Participant Requirements:
- Experience in project management and technology implementation
- Basic knowledge of artificial intelligence and its applications
This workshop will provide participants with the insight and skills needed to effectively incorporate generative AI into their [specific industry] processes, from ideation to deployment.
