Fine-Tuning Your AI Models From Beginner to Advanced

With Kesha Williams
MP4 | Video: h264, 1920x1080 | Audio: AAC, 44.1 KHz, 2 Ch
Skill Level: Intermediate | Genre: eLearning | Language: English + subtitle | Duration: 2h 55m | Size: 533.6 MB
Learn how to fine-tune open-weight language models using LoRA, evaluate their performance, and deploy them in real-world business workflows.
Course details
Fine-tuning enables organizations to adapt foundation models to specialized tasks, domains, and brand

Requirements

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, but knowing when and how to fine-tune remains a critical skill for AI practitioners. In this course, learn how to use a complete fine-tuning workflow by building a support-ticket assistant for a fictional retailer. Discover how to prepare and validate training data, train a model using LoRA, evaluate performance improvements, and deploy your resulting model for real-world use. Along the way, practice important AI engineering skills through interactive exercises focused on prompting, synthetic data generation, model evaluation, and assessment workflows. By the end of the course, you'll be more prepared to move beyond prompting alone and create fine-tuned models that deliver measurable business value.
Skills covered
Large Language Models (LLM), Model Training, Fine Tuning, Machine Learning, Artificial Intelligence (AI)

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