This courseAI Practice CourseCovers core content including LLM basics, fine-tuning strategies, prompt engineering, RAG, and AI Agent development. The course deep-dives into AI video creation, LiblibAI image generation, QwenVL application, and more—plus ComfyUI image processing and Lovart design practice. It also teaches how to use AI to lift office efficiency, integrating GitHub and NotebookLM tools to take you from theory to practice.

The course starts withAI LLM Basics , systematically explaining LLM principles, architecture, and use cases. You'll learn LLM fine-tuning and training strategies, mastering how to optimize pretrained models for specific tasks. In the prompt-engineering section, the course deep-dives into the art and science of prompt design, teaching you how to use precise prompts to guide AI into generating high-quality content.

RAG (Retrieval-Augmented Generation) is one of the course's focus areas—you'll learn RAG principles and application strategies, mastering how to combine external knowledge bases with generative models to lift the accuracy and relevance of AI answers.AI Agentdesign and implementation section takes you deep into agent architecture, feature implementation, and application deployment.

In application practice, the course covers the full AI video-creation flow from basics to advanced tricks. The LiblibAI image-generation tutorial teaches you to use AI tools to produce high-quality images; QwenVL application focuses on vision-language model practical use. The office-efficiency part covers practical skills like auto meeting-minutes and smart PPT production, helping you integrate AI into daily work.

The tool-practice part includes ComfyUI workflows for image editing and model outfit swaps, Lovart design-tool application, GitHub creation and use, NotebookLM learning-tool application, and OpenClaw installation with Feishu integration.The course system is complete , combining theory and practice—suited to learners wanting to comprehensively master AI video and drawing tech.

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• 1.Talking About AI LLMs (Part 1)
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• 2.Talking About AI LLMs (Part 2)
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• 3.LLM Fine-Tuning and Training Strategies
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• 4.The Art and Science of Prompt Engineering
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• 5.RAG Principles and Application Strategies
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• 6.AI Agent Design and Implementation
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• 7.AI Video Creation (Part 1)
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• 8.AI Video Creation (Part 2)
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• 9.AI Video Creation (Part 3)
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• 10.LiblibAI Image-Generation Tutorial
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• 11.QwenVL Vision-Language Model Application
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• 12.AI Lifts Office Efficiency (Meeting Minutes + PPT)
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• 13.ComfyUI Workflow for Image Editing and Model Outfit Swaps
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• 14.Design Practice With Lovart
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• 15.GitHub Creation and Use
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• 16.Learning With NotebookLM
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• 17.OpenClaw Installation and Feishu Integration (Mac Version)
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💡 Learning Tips:The content of the tutorial is based on industry practice at the time of release, and it is recommended to combine the latest rules of the current platform when applying it.