Fine-Tune Your First AI Model
What you'll learn
The CBX experience delivers outcomes that matter at scale.
Foundations of AI Model Fine-Tuning
Role of Transformers in Modern AI Models
Transfer Learning vs Fine-Tuning vs RAG
Types of Fine-Tuning Techniques
Supervised Fine-Tuning and Adapter-Based Training
Catastrophic Forgetting During Fine-Tuning
Adapter Handling During Inference
Deployment Flow of Fine-Tuned Models
Live YOLO Fine-Tuning Practical
Skills you'll gain
Packed with useful features
The CBX experience delivers outcomes that matter at scale.
Foundational Understanding of Fine-Tuning
Understand what fine-tuning means and why it is used to adapt pre-trained AI models for specific tasks. Learn how fine-tuning helps models perform better on domain-specific problems and real-world use cases.
Role of Transformers in AI Models
Learn how transformer-based models power modern AI systems. Understand the role of attention, representation learning, and model architecture in making fine-tuning effective.
Transfer Learning vs Fine-Tuning vs RAG
Get a clear comparison between transfer learning, fine-tuning, and retrieval-augmented generation. Understand when to fine-tune a model, when to use RAG, and when transfer learning is enough.
Types of Fine-Tuning Explained
Explore major fine-tuning approaches including full-parameter fine-tuning, adapter-based fine-tuning, LoRA-style parameter-efficient fine-tuning, and supervised fine-tuning. Learn how each method differs in cost, flexibility, and use case.
Fine-Tuning Challenges and Best Practices
Understand key challenges like catastrophic forgetting, data quality issues, overfitting, and resource requirements. Learn why adapter handling and model evaluation matter during training and inference.
Model Deployment and Inference Flow
Learn what happens after a model is fine-tuned. Understand how adapters are loaded, how fine-tuned models are used during inference, and how deployment decisions affect performance and cost.
Live YOLO Fine-Tuning Practical
Watch a practical implementation of YOLO fine-tuning for custom object detection. See how a model can be trained on a specific dataset and adapted for real computer vision use cases.
AI Career Clarity Session
Stay back for a short career counselling session after the webinar. Get clarity on AI career paths, practical skills, project-building, and how to start growing in the AI field.
# Endless features
Meet your Mentors
Aditya Chhabra
Aditya brings 8+ years of AI engineering experience from Microsoft and leading startups, specializing in ChatGPT, generative AI, and LLM deployment. He transforms complex concepts into practical skills, mentoring hundreds of Delhi NCR engineers to master production-ready AI systems. As lead instructor at CBX, Aditya focuses on hands-on projects and real-world expertise that accelerates career growth.
Earn a Verified Certificate of Completion
The CBX experience delivers outcomes that matter at scale.