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Home/Courses/Scrum thời AI: Điều gì giữ lại, thay đổi và biến mất
Scrum thời AI: Điều gì giữ lại, thay đổi và biến mất
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Scrum thời AI: Điều gì giữ lại, thay đổi và biến mất

Udemy Instructor
0(1 students)
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About this course

Khóa học này có sử dụng trí tuệ nhân tạo. Nếu Claude, Copilot và các agent tự hành có thể phân tích yêu cầu, viết mã, sinh kiểm thử, review pull request và cập nhật tài liệu, thì phần nào của Scrum vẫn còn tạo ra giá trị, và phần nào đã lặng lẽ trở thành nghi lễ? Phần lớn các khóa học về AI và Agile dạy bạn vận hành các nghi thức hiện có nhanh hơn một chút.

Khóa học này đặt ra câu hỏi khó hơn: Scrum nên trở thành gì khi việc sản xuất phần mềm không còn bị giới hạn bởi năng lực thực thi của con người? Bạn sẽ xếp mọi thực hành mà đội mình đang làm vào bốn nhóm (Giữ, Điều chỉnh, Loại bỏ và Thêm) bằng một phép thử lặp lại được, rồi xây dựng lại Sprint của mình dựa trên câu trả lờiĐiều gì làm khóa học này khác biệtKhóa học dựa trên bằng chứng đo lường được, không dựa trên ý kiến: DORA 2025, khảo sát State of Code 2026 của Sonar, phân tích 8,1 triệu pull request của LinearB và nghiên cứu thực hành của chính những người quản lý khung Scrum. Mọi con số đều có trích dẫnKhóa học đề cập điều mà không ai khác đề cập: những thực hành cần loại bỏ, và những biện pháp kiểm soát quản trị cần thêm mà Scrum chưa bao giờ quy địnhKhóa học sửa lại một niềm tin mà hầu hết các đội Scrum đang giữ.

Hãy tìm trong Hướng Dẫn Scrum các cụm “user story”, “story point”, “velocity” hay “ước lượng”: không cụm nào xuất hiện. Bạn sẽ tự kiểm chứng điều đó ở bài giảng thứ baKhoảng một phần tư số bài giảng là phần trình diễn trực tiếp, không phải phần giải thích, trong đó có cảnh một kết quả AI nghe hợp lý, viết tốt nhưng sai hoàn toàn bị loại bỏ khi reviewBạn sẽ xây dựng tám tạo phẩm dùng được ngayMột bản đánh giá Giữ / Điều chỉnh / Loại bỏ / Thêm cho chính đội của bạnMột quy trình Sprint được thiết kế lạiMột ma trận trách nhiệm giữa con người và AIMột Định Nghĩa về Sự Hoàn Tất có tính đến AIMột hình thức Daily Scrum mớiMột chính sách chuyển cấp xử lý cho agentMột danh mục kiểm tra quản trịMột Product Backlog AI-native được viết theo các định dạng mà agent có thể dựa vào để xây dựngMọi thứ được phát triển song song với một nghiên cứu tình huống xuyên suốt: một công ty phần mềm y tế 1. 400 người, đã triển khai agent lập trình được mười hai tháng, có đầu ra tăng gấp ba trong khi các nghi thức không thay đổi chút nào, và có người phụ trách an toàn lâm sàng sắp đặt ra một câu hỏi mà không ai trả lời đượcKhóa học này không dành cho ai.

Nếu bạn muốn một bộ prompt để điều hành buổi họp đứng tốt hơn, đây không phải khóa học phù hợp.

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Project ManagementVietnamese

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