Beginner Fine-tuning

Google’s AI Course for Beginners (in 10 minutes)!

Learn How I'd learn ML in 2025 (if I could start over)

Natural Language Processing In 10 Minutes | NLP Tutorial For Beginners | NLP Training | Simplilearn

OpenCV Python Tutorial 1 - Introduction & Images

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Generative AI: Prompt Engineering Basics

Generative AI Roadmap For Absolute Beginners 🔥

Learn 99% Of People STILL Don't Know The Basics Of Prompting (ChatGPT, Gemini, Claude)

This course on Coursera provides skills to optimize and deploy domain-specific large language models for advanced Generative AI applications. It covers supervised fine-tuning, parameter-efficient methods (PEFT), and reinforcement learning with human feedback (RLHF).

A comprehensive 7-course series that takes you from LLM business strategy to production deployment. You will learn to evaluate LLM opportunities, fine-tune models, and build production-ready applications using tools like Hugging Face and Python.

In partnership with AMD, this course teaches how to apply fine-tuning and reinforcement learning to improve LLM behavior, reasoning, and safety. You will learn about the post-training lifecycle, core techniques like RLHF and LoRA, and how to design evaluations to detect issues like reward hacking and diagnose failures.