Executive AI Roadmap: Guiding Your Organization to a Successful Gen AI Implementation with Google Gemini

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. 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 the Google Workspace platform and that are using Google’s Gemini 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.

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 Google Gemini Understanding Gemini Starting a Chat with Gemini Understanding the Gemini Screen Display Learning Gemini icons Knowing Gemini Limitations Working with Examples of Gemini Prompts Using Other Generative AI Tools Open Source Models Perplexity Claude Strengths and Weaknesses of Each Creating Images with AI Getting Started with Google Imagen 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