Executive AI Roadmap: Guiding Your Organization to a Successful Generative AI Implementation with ChatGPT and Related Technologies Course Outline

Special Note to New Hampshire Residents
This course has not yet been approved by the New Hampshire Department of Education. Please contact us for an update on when the class will be available in New Hampshire.

This training is scheduled as private sessions only. To learn more and to schedule AI training just for your management team contact ONLC at 1-800-288-8221.

Overview
This one-day seminar is tailored for leaders eager to understand the strategic implications, opportunities, and challenges of Generative AI. We will provide insights into the business applications of these technologies, address concerns related to ethics and legality, and discuss the potential risks and rewards for organizations.

This is a hands-on class providing executives with experience using AI technologies. Using AI technologies will provide a complement to strategic discussions.

Notes
The duration of this class can be adjusted based on the needs of the group. This course is designed for organizations that have standardized on various platforms and are using OpenAI’s ChatGPT Generative AI product.

By the end of the course, you will have:

● Awareness of the Landscape:
Managers will understand the key players, trends, and potential future shifts in the Generative AI industry.

● Strategic Insight:
You’ll have learned about the potential areas of value, risks, and ROI considerations.

● Ethical and Legal Foundations:
You'll know potential ethical dilemmas, legal implications, and public relations considerations.

● Implementation Knowledge:
You will have explored best practices for implementation and integration, as well as the pros and cons of building an internal AI team versus outsourcing.

● A Solid Base:
With this foundation, participants will be well-prepared to brainstorm and discuss potential AI initiatives tailored to their organization's specific needs and goals.

Prerequisites
A basic understanding of your organization's technological infrastructure might be beneficial.

COURSE OUTLINE

Introduction to Generative AI

Overview of Generative AI: Why It Matters for Business Leaders
Strategic Implications of Generative AI in Modern Industry
Real-world Case Studies of Successful AI Implementations
Strategic Considerations

Identifying Opportunities: Where Can Generative AI Add Value in Your Organization?
Potential Risks and Challenges: Data Privacy, Security, and Ethical Concerns
Return on Investment (ROI): Evaluating the Financial Impacts of AI Projects
Understanding the AI Landscape

Key Players in the AI Industry: Who's Who and What They Offer
Future Trends: What's on the Horizon for Generative AI?
Industry Shifts since the Advent of Models like ChatGPT
Ethical and Legal Concerns

Navigating the Ethical Minefield: Bias, Fairness, and Transparency
Legal Implications: Data Rights, IP Concerns, and Global Regulations
Addressing Public Relations Concerns and Managing AI-related Crises
Hands-On Practice with Chat Tools

Using Generative AI Chatbots
Getting Started with Generative AI Chatbots
What is an AI Chatbot?
Using Different Types of Text Prompts
Using Basic Prompts with Chatbots
Getting Started with ChatGPT

Understanding ChatGPT
Starting a Chat with ChatGPT
Understanding the ChatGPT Screen Display
Learning ChatGPT Icons
Knowing ChatGPT Limitations
Working with Examples of ChatGPT Prompts
Using Other Generative AI Tools

Open Source Models
Perplexity
Claude
Strengths and Weaknesses of Each
Creating Images with AI

Getting Started with DALL-E
Understanding AI Images
Understanding the Basic Structure of AI Image Prompts
Learning Tips for Creating AI Image Prompts
Reviewing Key Words to Use in AI Image Prompts
Reviewing Words and Phrases for Different AI Image Styles
Adding More Details to Prompts
Working with Examples of AI Image Prompts
Demonstration: Popular AI Tools Built on Foundation Models
This section is updated regularly as tools change
This demonstration can be customized based on your organization’s preferences

Implementation and Integration

Best Practices for Implementing AI Solutions in Existing Infrastructures
Integration Challenges: Data Silos, Legacy Systems, and More
Monitoring and Evaluating AI Performance
View outline in Word

LBER11

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