Training Custom Models with Amazon Bedrock

Unlock the Power of AI with Custom Models on Amazon Bedrock

Foundation models are revolutionizing AI adoption, offering readily available, pretrained models that integrate seamlessly into your applications. However, achieving optimal results often requires tailoring these models to your unique business needs. This course, Training Custom Models with Amazon Bedrock, equips you with the skills to effectively train and deploy custom AI models using the robust capabilities of Amazon Bedrock.

What You'll Learn:

• Model Customization Fundamentals: Understand when fine-tuning is the right approach versus exploring alternative methods like prompt engineering and retrieval-augmented generation (RAG).
• Amazon Bedrock Customizable Foundation Models: Explore the range of customizable foundation models available on Amazon Bedrock, with a focus on understanding key considerations like cost, data requirements, and model-specific limitations.
• Building & Deploying Fine-Tuned Models: Master the process of building and deploying fine-tuned models within Amazon Bedrock. This includes:
  • Preparing datasets for effective training.
  • Configuring and executing fine-tuning jobs.
  • Monitoring critical performance metrics.
  • Validating model performance post-deployment.

Key Takeaways:

By the end of this course, you'll gain the practical skills and knowledge necessary to train custom models with Amazon Bedrock. You'll be able to confidently determine how and when to customize foundation models to meet your specific domain-specific requirements, maximizing AI's potential for your business. Learn to leverage Amazon Bedrock for advanced AI solutions.