Learn LLMs & AI Agents from Zero: 35 Videos to Get You Up to Speed Fast

As one of the earliest and most successful companies to launch large-model applications in China, we've built deep expertise in the LLM space. From our public-opinion response tool "Guanyu Weishi" to our financial research product "Yanbao Mofang," we've applied LLM technology throughout. Recently we built this course specifically to teach LLM literacy from the ground up. Across 35 carefully produced videos, we take you step by step to build your own AI agent and master LLM application skills in real projects.

Course Outline

The course has 35 episodes in two parts:

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• In the first 15 episodes, we teach you the fundamentals of LLM application from scratch.
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• The next 18 episodes focus on tuning, training, and deploying your own AI agent on top of a large model.
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• The final two episodes dive into adding an LLM-based smart assistant to your own website.
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Course Content Overview

Part 1: LLM Basics (Episodes 1–15)

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• Lecture 1: How to understand LLMs and why they matter
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• Lecture 2: How to write prompts that make LLMs work better
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• Lecture 3: A zero-based learning path
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• Lecture 4: Expert knowledge bases and how they're used
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• Lecture 5: Building your own knowledge base on a cloud platform
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• Lecture 6: Tips for fine-tuning a large model
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• Lecture 7: Building a personal agent with simple operations
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• Lecture 8: How to fine-tune prompts to get more from your LLM
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• Lecture 9: Prompt settings — tips and pitfalls
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• Lecture 10: Putting a custom model into production (Part 1)
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• Lecture 11: Putting a custom model into production (Part 2)
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• Lecture 12: Using data insights to prepare for model training (Part 1)
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• Lecture 13: Data insights that improve training results (Part 2)
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• Lecture 14: How online labeling speeds up training
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• Lecture 15: Master dataset types so model training pays off twice as fast
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Part 2: Building AI Agents (Episodes 16–35)

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• Lecture 16: What is an agent? Its core role
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• Lecture 17: A full walkthrough of the agent-building process
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• Lecture 18: How to configure the model that fits your needs
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• Lecture 19: How to match the right persona to your agent
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• Lecture 20: How to refine and optimize your agent's persona
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• Lecture 21: Tips for better agent persona design
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• Lecture 22: Hands-on lessons from tuning agent personas
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• Lecture 23: When features fall short, how to use plugins to extend your agent
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• Lecture 24: The role of the agent database and how to manage it
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• Lecture 25: How to effectively tune your agent database
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• Lecture 26: Hands-on: tuning your agent database
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• Lecture 27: What is a workflow? How to set one up
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• Lecture 28: How to adjust workflows to boost efficiency
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• Lecture 29: Hands-on: setting up and optimizing a workflow
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• Lecture 30: What is a knowledge base? How to configure it
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• Lecture 31: The actual process of setting up a knowledge base
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• Lecture 32: Tips for optimizing knowledge-base retrieval
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• Lecture 33: Deep tuning of knowledge-base results and methods
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• Lecture 34: How to add a smart assistant to your website (Part 1)
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• Lecture 35: How to add a smart assistant to your website (Part 2)
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Through this course you'll learn to build your own LLM applications from scratch, master refined agent configuration, and handle both enterprise and personal projects with ease. The content is highly practical and hands-on, so you can move quickly from basics to advanced.