This 3-day is designed to provide participants with a solid foundation in leveraging Generative AI tools for enhanced productivity and creativity. This course covers key concepts, workflows, and best practices utilizing AI-powered platforms. Participants will gain hands-on experience with leading Gen AI tools, learn how to integrate them effectively into their daily processes, and develop a practical understanding of how Gen AI can optimize both personal and professional projects. By the end of the course, attendees will be equipped with the skills to create their own GPT and Copilot instances.
Duration: 3 DaysLearning Objectives:
- Understanding AI and Its Ecosystem
- Understand and Use Core AI Tools and Features:
ChatGPT
Copilot
Gamma
Canva
Create your own GPT
Create your own Copilot
Zapier
- Explain Basic Prompt Engineering
- Using AI Tools for Productivity and Creativity
Creating SOW
Technical Presentation writes as built documentation
Content Creation
Introduction to ChatGPT and AI Basics
Core ChatGPT Workflows and Use Cases
Power User Skills Techniques
Understand Microsoft Copilot
Copilot and AI Agents
Considerations for Prompts
Extending Copilot-like agents
Exploring Gamma Tool
Understanding Gamma Content Creation
Exploring Canva’s Interface
Understanding Design Projects using Canva
Exploring Red Hat OpenShift AI
Understanding Model Architecture Selection
Explaining Model Deployment
Deploying custom GPT and Copilot AI tools
Introduction Basic Prompt Engineering
Explaining Prompt Engineering Patterns
Understanding Automation Daily Tasks with Zapier
Explaining Zapier Automation Workflows
Explaining Code Generator Assistance
Implementing Code Assistance on RHOAI
Lab Outline
Lab 1: Deploying Custom GPT
Lab 2: Deploying Custom Copilot
Lab 3: Deploying Custom Chatbot
Lab 4: Deploying Zap Automation Workflows
Lab 5: Document Creation with Gamma AI
Lab 6: Presentation Development using Gamma AI
Lab 7: Implementing AI Code Generator Assistant in Code Server
Lab 8: Connecting with external LLM Models
Lab 9: Deploying Multi-LLM AI Assistant
Lab 10: Customizing AI Assistant Workspaces
Lab 11: Securing AI Assistant Communication
• Sales Engineers
• Presales Engineer
• Customer Support personnel
• Project Managers