DataCamp vs Forge

Learn all things data and master AI skills with DataCamp. Master in-demand data engineering, data analysis, AI engineering, data science, coding, and technology skills in Python, SQL, R, and more. Learn through interactive courses and real-world projects, and earn industry-recognized certifications. Whether you’re getting started with AI for work and data or learning advanced technologies, DataCamp’s diverse curriculum helps you learn programming languages such as Python and SQL, along with expert-led AI training, so you can stay ahead in the modern technology landscape. Why learn with DataCamp? Join over 19 million learners who trust DataCamp to become proficient in data and develop AI skills. With DataCamp, you don’t just learn; you apply, build, and certify your way into the data and AI career you want. • Hands-on, interactive courses: Follow bite-sized lessons with short videos, code-alongs, and instant practice to reinforce your progress. • Real-world projects: Apply knowledge from Python, SQL, R, and AI to practical tasks. Work with real datasets, build dashboards, write effective prompts, and apply AI to real-world challenges through guided projects with step-by-step instructions. • AI-assisted learning: Explore, learn, and code in Python or SQL with help from AI. • Become a certified professional: Showcase your skills with certifications across Power BI, Tableau, SQL, and more. Whether you’re aiming to become a Data Analyst, Data Scientist, or AI Engineer, DataCamp certification proves you're ready for the job. • Learn without limits: Master data and AI across mobile or desktop. Always in sync, wherever you go. Whether your goal is to learn to code in multiple programming languages like Python, SQL, or specialize in the latest AI technologies, DataCamp offers a robust learning experience anywhere, anytime. Start learning data and AI in just 5 minutes a day. • Discover top courses to kick-start your data and AI expertise: Introduction to Python, Introduction to SQL, Introduction to R, Understanding Data Science, and Understanding Artificial Intelligence. • Learn Python: Begin your journey with Python coding exercises and interactive lessons, from basic Python syntax to advanced data analysis and machine learning. • Learn SQL: Master databases, SQL joins, and relational databases in our learning app. Develop data analyst skills for advanced analysis in PostgreSQL. • Learn AI: Explore the fundamentals of artificial intelligence through hands-on courses in machine learning, generative models, prompt engineering, and more. Build real projects, use tools like ChatGPT more efficiently, and gain practical skills to apply AI in real-world scenarios. • Unlock the power of programming and coding with AI: Courses like "Introduction to SQL with AI" and "Introduction to Python with AI" (coming soon) at DataCamp will guide you on how to code smarter and effectively collaborate with AI by writing prompts, generating queries, and analyzing data to solve real-world problems. • R Programming: Learn statistics and data visualization with RStudio, exploring the tidyverse and real datasets essential for analytics roles. • All opening course chapters are free: Access starter chapters on data engineering, machine learning, data visualization, database fundamentals, and cloud computing. Reinforce your data analysis skills with tools like Excel, Google Sheets, Power BI, Python, and SQL, or build foundational knowledge in cloud computing with platforms such as AWS, Azure, and Google Cloud. Read Our Privacy Policy and Terms of Service. Visit: https://www.datacamp.com/terms-of-use/ to learn about our policies. Questions or Need Help? Reach out at https://support.datacamp.com/. Download DataCamp now to transform your career and stay ahead of the curve!

2026 올해 LLM이 외부 세계와 소통하는 표준 프로토콜, MCP를 처음부터 끝까지 마스터하세요. 이런 분을 위한 앱입니다: - AI 애플리케이션에 외부 도구와 데이터를 연결하고 싶은 개발자 - MCP 서버를 직접 구축하여 LLM에 기능을 제공하고 싶은 엔지니어 - Claude Desktop, VS Code 등 MCP 호스트와 연동하는 워크플로를 만들고 싶은 실무자 - AI 에이전트 아키텍처의 핵심 인프라를 이해하고 싶은 학습자 콘텐츠 구성 (13챕터 60섹션): Part 1 — 기초와 아키텍처 - Ch1. MCP의 탄생과 설계 철학: N×M 문제를 N+M으로 해결하는 표준 프로토콜의 가치 - Ch2. 아키텍처와 프로토콜 구조: Host/Client/Server 3계층, Transport, JSON-RPC 2.0 - Ch3. 개발 환경 설정과 첫 MCP 서버: Python SDK로 Hello World 서버를 만들고 Claude Desktop에 연결 Part 2 — 핵심 프리미티브 - Ch4. Tools: 도구 정의, JSON Schema 자동 생성, Pydantic 검증, 비동기 도구 - Ch5. Resources: 데이터 노출, URI 템플릿, MIME 타입, 구독과 변경 알림 - Ch6. Prompts와 Sampling: 재사용 템플릿, 서버에서 LLM으로의 역요청 Part 3 — 실전 서버 구축 - Ch7. 데이터베이스 연동: SQLite/PostgreSQL 래핑, 쿼리 안전성, E-Commerce 실습 - Ch8. REST API 래핑과 파일시스템: GitHub API 서버, OpenAPI 자동 변환, 복합 서버 Part 4 — 클라이언트와 호스트 - Ch9. MCP 클라이언트 개발: ClientSession, LLM 통합 에이전트 루프 - Ch10. 멀티 서버 오케스트레이션: 동적 도구 디스커버리, 도구 라우팅, 장애 대응 Part 5 — 프로덕션 - Ch11. 인증과 보안: OAuth 2.1 + PKCE, 보안 위협 방어, 엔터프라이즈 통합 - Ch12. 에러 처리, 로깅, 테스트: 구조화된 로깅, 단위/통합/E2E 테스트 - Ch13. 배포와 운영: Docker 컨테이너화, 클라우드 배포, 스케일링, SDK v2 마이그레이션 주요 기능: - 오프라인 캐싱 지원 — 네트워크 없이도 학습 가능 - iCloud 동기화 — 즐겨찾기와 읽기 진행률을 기기 간 공유 - 구문 강조 코드 블록 — Python 코드를 선명하게 표시 - Mermaid 다이어그램 — 아키텍처와 플로우를 시각적으로 이해 - 다크모드 지원 Forge Series는 개발자를 위한 체계적인 기술 학습 시리즈입니다. 각 주제를 실전 중심으로 구성하여, 개념 이해부터 프로덕션 적용까지 하나의 앱에서 완결합니다.