本课程是一门面向未来 AI 软件工程的实战进阶指南，旨在帮助学习者彻底摆脱“把 AI 当作聊天框”的低效模式，将其升级为专业的全自动化软件工程平台。课程从 Claude Code 的底层原理和终端/IDE 深度环境配置切入，核心聚焦于高阶上下文工程（如持久化记忆与动态上下文突破 Token 限制）以及智能体（Agentic）自动化工作流的构建；通过掌握任务自主规划、子智能体委派和并行 AI 协作，您将学会如何打造一个能独立进行代码编写、Bug 调试、系统重构及多 AI 协同的“虚拟软件开发团队”，从而在 2026 年快速跃升为具备自主研发与自动化流程构建能力的 AI 软件工程专家。
Last updated 6/2026
Created by Learning Technologies[83000+ Students]
MP4 | Video: h264, 1920×1080 | Audio: AAC, 44.1 KHz, 2 Ch
Level: All Levels | Genre: eLearning | Language: English | Duration: 24 Lectures ( 2h 29m ) | Size: 1.5 GB
Learn Claude AI from Scratch → Build Real-World AI Apps, Automate Workflows, and Become an AI Expert in 2026
What you’ll learn
⚡ Understand the fundamentals of Claude Code and modern AI-assisted software development workflows.
⚡ Learn how AI coding assistants are transforming software engineering and developer productivity.
⚡ Set up and configure Claude Code with modern development environments such as Visual Studio Code and AI-powered IDEs.
⚡ Work with Claude Code CLI, terminal workflows, API keys, and development tool integrations.
⚡ Understand prompt engineering techniques for generating accurate, reusable, and production-ready code.
⚡ Master Context Engineering concepts including persistent memory, hierarchical context, dynamic context loading, and long conversation management.
⚡ Build Agentic AI workflows using planning systems, delegation models, subagents, and parallel AI workflows.
Requirements
❗ Basic computer knowledge and familiarity with using modern operating systems such as Windows, macOS, or Linux.
❗ Basic understanding of programming concepts is recommended, but advanced programming expertise is not mandatory.
❗ Familiarity with at least one programming language such as Python, JavaScript, C#, Java, or TypeScript will be helpful.
❗ A free or paid account with Anthropic may be required for accessing Claude Code features and APIs.
Description
This course is designed to help developers, AI engineers, students, architects, freelancers, and technology enthusiasts understand how Artificial Intelligence is transforming the world of software development. Today, developers are no longer working alone. AI systems are becoming intelligent coding partners capable of generating code, reviewing applications, debugging issues, automating workflows, and even collaborating as AI software teams.
In this course, you will learn how to use Claude Code not simply as an AI chatbot, but as a professional AI engineering platform for real-world software development. You will start with the fundamentals of AI-assisted coding and gradually move toward advanced enterprise-level AI workflows, context engineering, agent orchestration, MCP integrations, automation systems, and production-ready AI development practices.
The course begins with a strong introduction to Claude Code, the evolution of AI coding assistants, and the future of AI-powered software engineering. You will understand the difference between traditional coding and agentic coding workflows while exploring how AI coworkers are changing developer productivity and software delivery.
You will then learn how to set up a complete Claude Code development environment, including IDE configuration, terminal workflows, API integrations, and AI-assisted programming tools. The course also introduces prompt engineering techniques that help developers communicate effectively with AI systems for generating accurate and optimized outputs.
The course also covers advanced topics such as multi-agent systems, AI delegation, parallel workflows, autonomous AI coding loops, and AI software teams. You will understand how multiple AI agents collaborate together to solve complex engineering tasks efficiently.
A dedicated section on Model Context Protocol (MCP) will help you understand how modern AI systems integrate with external tools, APIs, GitHub repositories, databases, and enterprise services. You will also learn how to build secure MCP servers and custom AI integrations for enterprise-grade solutions.
Throughout the course, you will work on practical real-world projects such as AI assistants, AI documentation generators, AI research agents, AI knowledge chatbots, SaaS generators, automation pipelines, and intelligent development workflows. You will also explore Retrieval-Augmented Generation (RAG), embeddings, vector databases, AI search systems, GitHub automation, browser automation, CI/CD workflows, and AI-powered deployment strategies.
In addition, the course includes important sections on AI security, hallucination prevention, governance, responsible AI, token optimization, cost management, and enterprise AI best practices.
By the end of this course, you will have the skills and confidence to work with AI coworkers, design intelligent software workflows, build enterprise AI systems, and prepare for the future of software engineering with Claude Code and modern AI development technologies.
Who this course is for
⭐ Software developers who want to learn modern AI-assisted coding and intelligent software engineering workflows.
⭐ Beginners who are curious about Claude Code and want to explore the future of AI-powered development.
⭐ Professional developers who want to improve coding productivity using AI coworkers, agentic workflows, and automation systems.
⭐ Startup founders and entrepreneurs who want to build AI-powered products and intelligent business applications faster.
⭐ Developers interested in prompt engineering, context engineering, RAG systems, vector databases, and AI orchestration.
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