专为零基础与转行者设计,手把手教你掌握前端、后端、数据库及多模型API调用,实战构建AI智能客服与RAG系统,积累企业级作品集。

原始标题:Certified Full Stack AI Engineer

Certified Full Stack AI Engineer

一套将现代 Web 开发技术与工业级大模型全面融合的体系化特训营。课程专为零基础、转行技术者、创业者及 AI 顾问设计,摒弃了纯理论说教,手把手教导学员从零构建具备完整商业价值的 AI 驱动型应用;

学员将系统化掌握响应式前端UI设计、安全的后端系统架构、主流数据库管理以及多大模型 API(如 OpenAI、Claude 等)的联合调用,并深度攻克基于向量数据库的高级 RAG(检索增强生成)本地文档智能助手技术。通过亲手打造 AI 智能客服、内容生成工具及自动化仪表盘等完整的 AI SaaS 落地项目,学员不仅能打通“需求分析-全栈开发-多端部署”的全链路闭环,更能快速积累起一套能够直接服务于企业交付、自由职业或独立微型创业的生产级全栈 AI 工程师核心作品集。

Published 7/2026
MP4 | Video: h264, 1920×1080 | Audio: AAC, 44.1 KHz, 2 Ch
Language: English | Duration: 7h 16m | Size: 3.25 GB

Become a Fullstack AI Engineer by learning frontend, backend, databases, APIs, deployment, and practical AI application

What you’ll learn
Build fullstack AI-powered applications from scratch using modern tools and frameworks.
Understand the foundations of frontend development, backend development, APIs, databases, and deployment.
Create beautiful and responsive user interfaces for AI applications.
Build secure backend systems that can process user requests, store data, and connect to AI models.
Build AI chatbots, AI assistants, and AI automation tools for real business use cases.
Build document-based AI assistants using RAG and vector databases.

Requirements
No advanced programming experience is required. This course is designed to guide students step by step.
Basic computer skills are recommended, including using a browser, installing software, managing files, and working with online tools.
A laptop or desktop computer with a reliable internet connection is required.
Basic understanding of websites, applications, or technology will be helpful, but it is not mandatory.

Description
“This course contains the use of artificial intelligence.”

Artificial Intelligence is changing the way businesses build products, serve customers, automate operations, and create new opportunities. This Fullstack AI Engineer Program is designed to help students learn how to build real AI-powered applications from the ground up.

In this course, students will learn how to combine fullstack development with modern AI tools to create practical applications that solve real business problems. The course covers frontend development, backend development, APIs, databases, authentication, deployment, AI model integration, automation workflows, RAG systems, and AI-powered product development.

Students will learn how to build user-friendly web applications, connect those applications to AI models such as OpenAI and Claude, store and manage data, create intelligent assistants, build document-based AI systems, and deploy complete AI solutions for real users.

This course is practical and project-focused. Instead of only learning theory, students will work through real-world use cases such as AI chatbots, customer support agents, content generation tools, business automation systems, AI dashboards, document assistants, and AI SaaS applications.

By the end of this course, students will have the confidence and practical skills to design, build, test, and deploy fullstack AI applications. They will also have portfolio-ready projects that can support job opportunities, freelance work, consulting services, or the launch of their own AI products.

Whether you are a beginner, aspiring developer, AI consultant, automation specialist, tech professional, entrepreneur, or career changer, this course will help you develop the skills needed to become a Fullstack AI Engineer and build useful AI solutions in today’s fast-growing AI economy.

Who this course is for
This course is for beginners who want to learn how to build AI-powered applications, even if they do not have advanced programming experience.
This course is for aspiring Fullstack AI Engineers who want to learn frontend development, backend development, databases, APIs, AI integrations, and deployment.
This course is for AI consultants who want to build real AI solutions for businesses instead of only giving strategy or advice.
This course is for entrepreneurs and founders who want to build their own AI tools, SaaS products, internal business apps, or client-facing AI solutions.

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