GENERATIVE AI & LLMS
Mastering ChatGPT for Technical Documentation (test duration)
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schedule3.03 hours on-demand
signal_cellular_altBeginner
updateUpdated October 2026
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Curriculum
54 Chapters • 03:02:03 runtimeChapter Markers
00:00:07
Introduction and Technical Check
The trainer checks if participants can hear and see the presentation clearly, and addresses technical issues like WhatsApp group access.00:00:27
Technical Assistance for Participants
The trainer assists a participant with joining the WhatsApp group and ensures everyone is connected.00:00:56
Program Overview and Objectives
The trainer outlines the program's goals, emphasizing the importance of hands-on training and participant engagement.00:01:50
AI Training Platforms Introduction
Introduction to the four AI platforms that will be covered in the training: ChatGPT, Cloud, Gemini, and Notebook LM.00:04:20
Training Content and Objectives
Overview of the training content, including foundational knowledge, model exploration, and practical applications.00:05:46
Understanding AI Responses
Discussion on how AI generates responses using predictive models and fine-tuning, with participant interaction.00:07:40
Ethical Use of AI
Emphasis on the ethical use of AI, particularly in handling sensitive data and ensuring privacy.00:09:14
Custom Instructions and Personalization
Guidance on setting up custom instructions and personalizing AI tools for better user experience.00:12:52
Data Control and Security Settings
Detailed instructions on managing data control settings to enhance security and prevent data misuse.00:16:44
Temporary Chat and Security Recommendations
Explanation of temporary chat features and recommendations for secure AI usage, especially in sensitive contexts.00:20:01
Organizational Security Levels
Discussion on the importance of using organizational-level security for better protection when using AI tools.00:22:30
Model Selection and Performance
Importance of selecting the right AI model for specific tasks and understanding model performance differences.00:24:54
Free AI Platforms and Ethical Considerations
Introduction to free AI platforms like Arena.ai and discussion on ethical considerations in sharing training materials.00:29:30
Investment in AI Training
Discussion on the value of investing in paid AI tools for better training outcomes and professional development.00:32:33
Code and Image Generation with AI
Exploration of AI capabilities in code generation and image creation, with practical examples and participant feedback.00:37:52
Video Generation and Subscription Levels
Introduction to video generation using AI and explanation of different subscription levels for AI tools.00:40:51
Agent Mode and Practical Applications
Demonstration of agent mode in AI platforms and its practical applications in automating tasks.00:44:08
Creating Course Outlines and Training Materials
Step-by-step guide on using AI to create course outlines, training slides, and promotional materials.00:49:19
Agent Orchestration and Task Automation
Explanation of agent orchestration and how AI can automate multiple tasks efficiently.00:54:01
Fine-Tuning and Participant Engagement
Discussion on fine-tuning AI responses and engaging participants in the training process.00:57:34
Advanced AI Training and Enterprise Solutions
Overview of advanced AI training topics and enterprise-level solutions for AI implementation.01:01:09
Workshops and Practical Exercises
Introduction to practical exercises and workshops for hands-on learning with AI tools.01:04:14
Plugin Integration and Security
Guidance on integrating plugins with AI tools and maintaining security during data access.01:08:57
Local File Search and Plugin Usage
Demonstration of using plugins to search local files and manage data efficiently.01:14:06
Fact-Checking and Information Accuracy
Importance of fact-checking AI-generated information and ensuring accuracy in training materials.01:19:24
Avoiding Hallucinations in AI
Strategies to avoid hallucinations and misinformation in AI responses, with practical tips for trainers.01:22:49
Reverse Prompt Engineering
Introduction to reverse prompt engineering and its applications in improving AI training.01:27:32
Hardware and Internet Requirements
Discussion on the hardware and internet requirements for effective AI training and usage.01:30:53
Break and Next Steps
Announcement of a short break and preview of the next steps in the training program.01:34:30
Break Announcement
The trainer announces a 5-minute break for participants to rest and prepare for the next session.01:38:31
Resuming the Training
The trainer resumes the session after the break, ensuring all participants are back and ready.01:40:18
Image Generation and Design
Detailed demonstration of image generation capabilities in AI tools, focusing on design and customization options.01:45:18
Creating Brochures and Posters
Step-by-step guide on using AI to create professional brochures and posters for training and marketing purposes.01:50:14
Marketing and Social Media
Discussion on using AI-generated content for marketing and social media, with examples of successful applications.01:53:25
Productivity and Time Savings
Highlighting the productivity gains and time savings achieved through AI automation in training and design tasks.01:56:47
Branching and New Chats
Explanation of branching and creating new chats in AI tools to manage multiple tasks and conversations effectively.02:00:11
Email Marketing and Consistency
Using AI for email marketing campaigns and maintaining consistency across multiple messages and designs.02:03:50
Design Variations and Layouts
Creating multiple design variations and layouts using AI, with a focus on color schemes and content diversity.02:09:00
Comparing AI Platforms
Comparison of different AI platforms in terms of design quality and content generation capabilities.02:11:49
Certification and Accreditation
Discussion on the importance of certification and accreditation for AI trainers, with recommendations for recognized programs.02:15:15
Prompting Challenges and Solutions
Addressing common challenges in prompting AI tools and providing solutions for effective communication.02:18:50
Using GPT for Work
Introduction to using GPT for work-related tasks, with a focus on practical applications and user-friendly interfaces.02:24:07
Access Issues and Login Problems
Troubleshooting access issues and login problems for AI tools, with guidance on resolving common errors.02:26:51
Refraining from Early Breaks
The trainer emphasizes the importance of staying focused and avoiding early breaks to maximize learning outcomes.02:31:15
Prom Library and Copying Tables
Demonstration of creating a prompt library and copying tables for easy reference and sharing.02:33:57
Generating More Prompts
Techniques for generating additional prompts and expanding the prompt library for comprehensive training.02:36:48
Selling Prompts and E-books
Discussion on the potential for selling prompts and e-books as a source of income for AI trainers.02:39:52
Building a Prompt Library
Step-by-step guide on building a comprehensive prompt library for effective AI training and content creation.02:41:47
Custom Instructions and Memory Summary
Exploration of custom instructions and memory summary features in AI tools, with practical examples.02:43:57
AI Bias and Misinformation
Discussion on the risks of AI bias and misinformation, with strategies for mitigating these issues in training.02:47:17
Deep Research and Web Search
Introduction to deep research and web search capabilities in AI tools, with practical applications for trainers.02:50:17
Limitations of Free Platforms
Discussion on the limitations of free AI platforms and the benefits of upgrading to paid versions.02:53:41
Transition to Gemini Platform
Preparation for transitioning to the Gemini platform, with instructions for registration and setup.02:57:40
Lunch Break and Final Remarks
Announcement of a lunch break and final remarks, encouraging participants to return for the next session.HT