Getting Started with Custom GPTs, Copilots, and AI Agents

Overview

Creating custom AI tools has become a game-changer for productivity and innovation—no coding required! Use custom GPTs, Copilots, and AI agents to streamline daily tasks, for your company's internal use, or by publishing them for external use.

In this learning path, learn the principles of building different types of custom AI tools, how to integrate your data to train the tool, and how to maintain tools effectively.

Syllabus

• Introduction to Custom AI Tools
Overview of Custom GPTs, Copilots, and AI Agents
Benefits of Custom AI Tools for Productivity and Innovation
• Understanding the Principles of Building Custom AI Tools
Fundamentals of Language Models
Key Concepts in AI Agents and Copilots
• Designing Custom GPTs, Copilots, and AI Agents
Identifying Your Use Case
Structuring AI Interactions
• Integrating Data for Training Custom AI Tools
Data Collection and Preparation
Techniques for Fine-Tuning Models
Ensuring Data Privacy and Security
• No-Code Platforms for Building AI Tools
Overview of Popular AI Development Platforms
Step-by-Step Guide to Using a No-Code Platform
• Deploying and Publishing AI Tools
Internal vs. External Deployment
Managing User Access and Permissions
• Maintaining and Updating AI Tools
Monitoring AI Performance
Continuous Improvement and Iteration Techniques
• Case Studies and Real-World Examples
Successful Implementation Stories
Lessons Learned from Industry Applications
• Future Trends and Ethical Considerations
Emerging Trends in AI Applications
Ethical Implications of AI Use
• Conclusion
Recap of Key Learnings
Next Steps for Further Learning and Application

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Taught by

Morten Rand-Hendriksen, Jules White, Nicholas Brazzi and Garrick Chow

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Subjects

Computer Science