Course Code:
genaibespoke1
Duration:
7 hours
Prerequisites:
- An understanding of basic business operations and strategy
- Experience with leading teams or managing projects
- Openness to embracing new technologies in business practices
Audience
- Managers
Overview:
Generative AI refers to a category of artificial intelligence systems that can generate new content or data resembling the input it was trained on.
This instructor-led, live training (online or onsite) is aimed at intermediate-level to advanced-level managers who wish to implement Generative AI in their business strategies.
By the end of this training, participants will be able to:
- Gain a comprehensive understanding of Generative AI and its applications.
- Learn how to leverage IAG for improving productivity in your organization.
- Develop skills for creating effective prompts tailored to your business needs.
- Understand ethical considerations and future trends in Generative AI.
- Formulate a strategic plan for implementing Generative AI in your organization.
Format of the Course
- Interactive lecture and discussion.
- Lots of exercises and practice.
- Hands-on implementation in a live-lab environment.
Course Customization Options
- To request a customized training for this course, please contact us to arrange.
Course Outline:
Introduction
- Overview of Generative AI
- Types of Generative AI models
- Use cases in various industries
- Impact on business processes
Using IAG (Intelligent Automation & Generation) to Improve Productivity
- Introduction to IAG
- Definition and importance
- Key components and technologies involved
- Case studies
- Real-world examples of IAG implementation
- Benefits and outcomes observed
- Identifying opportunities
- Identifying areas in your organization where IAG can be applied
- Group discussion and brainstorming
Development and Use of Prompts
- Understanding prompts
- What are prompts and why are they important
- Examples of effective and ineffective prompts
- Crafting effective prompts
- Techniques for creating clear and impactful prompts
- Adapting prompts for different AI models and purposes
Advanced Topics in Generative
- Ethics and responsibility
- Ethical considerations and challenges
- Responsible use of AI in business
- Future trends
- Emerging trends in Generative AI
- Preparing for future advancements
Implementation Strategy and Roadmap
- Developing an implementation plan
- Steps to integrate Generative AI into your business
- Resource allocation and budgeting
- Measuring success
- Key performance indicators (KPIs) for Generative AI projects
- Monitoring and adjusting the strategy
Summary and Next Steps