About this certification
The "Fine-Tuning Large Language Models: Practical Guide for Developers (Video Course)" certification equips you with hands-on expertise to tailor advanced AI models for your organization's unique requirements. By mastering these skills, you'll gain increased productivity, a competitive edge in the AI landscape, and greater adaptability for future growth. Enroll today to unlock valuable techniques that will enhance your professional capabilities and set you apart in the evolving tech industry.
This certification covers the following topics:
- Core Concepts: Fine-Tuning vs. Foundation Models
- Key Benefits and Real-World Use Cases of Fine-Tuning
- Critical Considerations Before Fine-Tuning
- Comparing Fine-Tuning, Prompt Engineering, and Retrieval-Augmented Generation (RAG)
- Step-by-Step Blueprint for Fine-Tuning an LLM
- Data Preparation: Quality, Quantity, and Formatting
- Model Training Techniques and Workflows
- Evaluating Fine-Tuned Models for Consistency and Reliability
- Deploying and Integrating Fine-Tuned Models
- Best Practices, Limitations, and Common Pitfalls
- Cost Management and Efficiency Strategies
- Practical Applications: Industry-Specific Customizations
