AI Full-Stack Training Camp

Empowering developers to leap forward and embrace the next wave of the AI era.

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Professional Courses

Course content meticulously designed by senior developers.

Learning Path

Visualized learning path map for a clear skill development trajectory.

Project-Oriented

Combining theory with practice to build real project experience.

Detailed Videos

High-quality video teaching, explaining core concepts in an accessible way.

Learning Path Map

Clear learning path guidance to help you systematically master AI development skills, from basics to practical application.

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Vibe Coding

Foundation

Application

Optimization

Training Modules

A selection of nine core technology areas to build a complete development skill set.

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3 Day Course

Agent in Depth

This course is for developers, researchers, and product managers interested in large language models (LLMs) and their intelligent agents. The course covers the basic principles of LLMs, the composition of Agents, common protocols and tools, and end-to-end Agent project construction methods. Through a combination of theoretical explanations and practical exercises, the course helps students master the core skills of building intelligent Agent systems from scratch.

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🎨

2 Day Course

Generative UI Development

This course is for developers who have completed the LLM Basic, RAG, and Agent in Depth training, and want to learn the design concepts and implementation methods of generative user interfaces. From theoretical foundations to practical applications, this course helps students master the core skills of how Agents and UIs work together to build intelligent user interaction experiences.

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🔬

2 Day Course

Deep Research System

This course is for developers and researchers who have completed the LLM Basic, RAG, and Agent in Depth training. It provides in-depth study of the design and implementation of deep research systems based on multi-agent collaboration. Through systematic theoretical learning and practical exercises, you will master the core skills of building complex research Agent systems using LangGraph, including key links such as problem decomposition, information retrieval, content integration, and reflection and optimization.

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✏️

2 Day Course

Prompt Engineering

This course is for developers who have completed the LLM Basic training and want to learn the systematic method of Prompt design and optimization. From basic concepts to advanced patterns, from manual design to automated tools, this course helps students master the complete skill system of Prompt Engineering and improve the effectiveness and reliability of LLM applications.

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📚

2 Day Course

RAG Full-Stack Development

This course is for developers with some AI and programming background, focusing on the principles, system composition, security considerations, and implementation of Retrieval-Augmented Generation (RAG). You will systematically learn the working mechanism of LLM and RAG, and master the complete E2E project construction method, including key modules such as index construction, query optimization, and permission control. The course adopts a combination of theory and practice to help you develop the ability to independently develop and deploy enterprise-level intelligent question-answering systems.

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3 Day Course

Vibe Coding

From Prompting to Engineering: Build Real AI Applications with Confidence.

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🌟

3 Day Course

LLM Development Basics

This course is for developers with development experience but no prior knowledge of the LLM field. The course aims to help developers systematically master the core principles, component composition, security risks of large language models (LLM), and the practical application of mainstream development frameworks (LangChain & LangGraph). From theoretical introduction to project demonstration, the course proceeds step by step, taking into account both technical breadth and engineering implementation.

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Training Modules

15+

Training Days

150+

Learning Hours

100%

Real Projects