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Start 4 June 2026 04:22
Einde 4 June 2026
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Overzicht
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.
Lesprogramma
- Introduction to Custom AI Tools
- Understanding the Principles of Building Custom AI Tools
- Designing Custom GPTs, Copilots, and AI Agents
- Integrating Data for Training Custom AI Tools
- No-Code Platforms for Building AI Tools
- Deploying and Publishing AI Tools
- Maintaining and Updating AI Tools
- Case Studies and Real-World Examples
- Future Trends and Ethical Considerations
- Conclusion
Overview of Custom GPTs, Copilots, and AI Agents
Benefits of Custom AI Tools for Productivity and Innovation
Fundamentals of Language Models
Key Concepts in AI Agents and Copilots
Identifying Your Use Case
Structuring AI Interactions
Data Collection and Preparation
Techniques for Fine-Tuning Models
Ensuring Data Privacy and Security
Overview of Popular AI Development Platforms
Step-by-Step Guide to Using a No-Code Platform
Internal vs. External Deployment
Managing User Access and Permissions
Monitoring AI Performance
Continuous Improvement and Iteration Techniques
Successful Implementation Stories
Lessons Learned from Industry Applications
Emerging Trends in AI Applications
Ethical Implications of AI Use
Recap of Key Learnings
Next Steps for Further Learning and Application
Gegeven door
Morten Rand-Hendriksen, Jules White, Nicholas Brazzi and Garrick Chow
Vakgebieden
Computer Science