Practical use of generative AI in a specific industry

Course code: PUGAISI

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.

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Course dates

Starting date: Upon request

Type: Virtual

Course duration: 2 days

Language: en/cz

Price without VAT: 750 EUR

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Starting
date
Place
Type Course
duration
Language Price without VAT
Upon request Virtual 2 days en/cz 750 EUR Register
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Course description

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.

Target group

  • 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 structure

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.

 

Prerequisites

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.

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