{"id":1552,"date":"2025-10-29T17:13:37","date_gmt":"2025-10-29T10:13:37","guid":{"rendered":"https:\/\/metropolia.edu.vn\/?p=1552"},"modified":"2025-10-29T17:13:37","modified_gmt":"2025-10-29T10:13:37","slug":"6-khoa-hoc-coursera-huu-ich-cho-sinh-vien-cntt","status":"publish","type":"post","link":"https:\/\/metropolia.edu.vn\/en\/6-khoa-hoc-coursera-huu-ich-cho-sinh-vien-cntt\/","title":{"rendered":"6 kh\u00f3a h\u1ecdc Coursera h\u1eefu \u00edch d\u00e0nh cho sinh vi\u00ean c\u00f4ng ngh\u1ec7 th\u00f4ng tin"},"content":{"rendered":"

T\u1eeb k\u1ef9 n\u0103ng l\u1eadp tr\u00ecnh, t\u01b0 duy nghi\u00ean c\u1ee9u \u0111\u1ebfn \u1ee9ng d\u1ee5ng AI, 6 kh\u00f3a h\u1ecdc Coursera sau \u0111\u00e2y ch\u00ednh l\u00e0 \u201cb\u1ed9 c\u00f4ng c\u1ee5\u201d gi\u00fap sinh vi\u00ean C\u00f4ng ngh\u1ec7 Th\u00f4ng tin th\u00f4ng minh<\/a> r\u00fat ng\u1eafn kho\u1ea3ng c\u00e1ch gi\u1eefa l\u00fd thuy\u1ebft v\u00e0 th\u1ef1c h\u00e0nh, s\u1eb5n s\u00e0ng h\u00f2a nh\u1eadp v\u00e0o m\u00f4i tr\u01b0\u1eddng c\u00f4ng ngh\u1ec7 to\u00e0n c\u1ea7u.<\/span><\/p>\n

Trong b\u1ed1i c\u1ea3nh chuy\u1ec3n \u0111\u1ed5i s\u1ed1 v\u00e0 tr\u00ed tu\u1ec7 nh\u00e2n t\u1ea1o ph\u00e1t tri\u1ec3n m\u1ea1nh m\u1ebd, vi\u1ec7c li\u00ean t\u1ee5c c\u1eadp nh\u1eadt ki\u1ebfn th\u1ee9c, t\u01b0 duy v\u00e0 c\u00f4ng c\u1ee5 theo chu\u1ea9n qu\u1ed1c t\u1ebf l\u00e0 y\u1ebfu t\u1ed1 then ch\u1ed1t gi\u00fap sinh vi\u00ean CNTT t\u1ea1o \u0111\u01b0\u1ee3c l\u1ee3i th\u1ebf c\u1ea1nh tranh tr\u00ean th\u1ecb tr\u01b0\u1eddng to\u00e0n c\u1ea7u.<\/span><\/p>\n

Nh\u1eb1m h\u1ed7 tr\u1ee3 sinh vi\u00ean c\u1ee7ng c\u1ed1 n\u1ec1n t\u1ea3ng v\u00e0 s\u1eb5n s\u00e0ng cho m\u00f4i tr\u01b0\u1eddng h\u1ecdc t\u1eadp ti\u00ean ti\u1ebfn, Finland Metropolia Vietnam g\u1ee3i \u00fd 6 kh\u00f3a h\u1ecdc ch\u1ecdn l\u1ecdc tr\u00ean n\u1ec1n t\u1ea3ng Coursera \u2013 n\u1ec1n t\u1ea3ng h\u1ecdc tr\u1ef1c tuy\u1ebfn uy t\u00edn. C\u00e1c kh\u00f3a h\u1ecdc n\u00e0y \u0111\u01b0\u1ee3c thi\u1ebft k\u1ebf cho ng\u01b0\u1eddi m\u1edbi b\u1eaft \u0111\u1ea7u, gi\u00fap sinh vi\u00ean x\u00e2y d\u1ef1ng n\u1ec1n t\u1ea3ng v\u1eefng ch\u1eafc, r\u00e8n luy\u1ec7n k\u1ef9 n\u0103ng m\u1ec1m, ph\u00e1t tri\u1ec3n t\u01b0 duy nghi\u00ean c\u1ee9u v\u00e0 ti\u1ebfp c\u1eadn AI m\u1ed9t c\u00e1ch c\u00f3 h\u1ec7 th\u1ed1ng.<\/span><\/p>\n

\"C\u00e1c
C\u00e1c kh\u00f3a h\u1ecdc Coursera kh\u00f4ng ch\u1ec9 gi\u00fap sinh vi\u00ean CNTT h\u1ecdc \u0111\u00fang tr\u1ecdng t\u00e2m, m\u00e0 c\u00f2n ph\u00e1t tri\u1ec3n n\u0103ng l\u1ef1c s\u00e1ng t\u1ea1o v\u00e0 t\u01b0 duy nghi\u00ean c\u1ee9u hi\u1ec7n \u0111\u1ea1i<\/em><\/figcaption><\/figure>\n

M\u1ed7i kh\u00f3a h\u1ecdc \u0111\u1ec1u cho ph\u00e9p h\u1ecdc t\u1eadp linh ho\u1ea1t, h\u1ecdc vi\u00ean c\u00f3 th\u1ec3 t\u1ef1 \u0111i\u1ec1u ch\u1ec9nh ti\u1ebfn \u0111\u1ed9 c\u00e1 nh\u00e2n. Sau khi ho\u00e0n th\u00e0nh, ng\u01b0\u1eddi h\u1ecdc s\u1ebd nh\u1eadn ch\u1ee9ng ch\u1ec9 Coursera \u2013 ch\u1ee9ng ch\u1ec9 \u0111\u01b0\u1ee3c c\u00f4ng nh\u1eadn r\u1ed9ng r\u00e3i trong c\u1ed9ng \u0111\u1ed3ng h\u1ecdc thu\u1eadt v\u00e0 doanh nghi\u1ec7p qu\u1ed1c t\u1ebf. Quan tr\u1ecdng h\u01a1n, \u0111\u00e2y l\u00e0 b\u01b0\u1edbc chu\u1ea9n b\u1ecb v\u1eefng v\u00e0ng cho nh\u1eefng ai mong mu\u1ed1n theo h\u1ecdc ch\u01b0\u01a1ng tr\u00ecnh qu\u1ed1c t\u1ebf t\u1ea1i Finland Metropolia Vietnam, n\u01a1i \u0111\u1ec1 cao t\u00ednh th\u1ef1c ti\u1ec5n, s\u00e1ng t\u1ea1o v\u00e0 \u0111\u1ed5i m\u1edbi.<\/span><\/p>\n

1. Learning How to Learn<\/span><\/strong><\/h2>\n

Nh\u00e0 cung c\u1ea5p: Deep Teaching Solutions<\/span><\/p>\n

Gi\u1ea3ng vi\u00ean: Dr. Barbara Oakley v\u00e0 Dr. Terrence Sejnowski<\/span><\/p>\n

Kh\u00f3a h\u1ecdc n\u00e0y cung c\u1ea5p nh\u1eefng \u201cc\u00f4ng c\u1ee5 tinh th\u1ea7n\u201d m\u1ea1nh m\u1ebd gi\u00fap ng\u01b0\u1eddi h\u1ecdc chinh ph\u1ee5c c\u00e1c m\u00f4n h\u1ecdc kh\u00f3 \u2013 \u0111\u1eb7c bi\u1ec7t h\u1eefu \u00edch cho sinh vi\u00ean CNTT v\u1ed1n th\u01b0\u1eddng xuy\u00ean \u0111\u1ed1i m\u1eb7t v\u1edbi c\u00e1c kh\u00e1i ni\u1ec7m tr\u1eebu t\u01b0\u1ee3ng, thu\u1eadt to\u00e1n v\u00e0 logic ph\u1ee9c t\u1ea1p. B\u1ea1n s\u1ebd h\u1ecdc c\u00e1ch t\u01b0 duy b\u1eb1ng \u1ea9n d\u1ee5, ch\u1ebf ng\u1ef1 s\u1ef1 tr\u00ec ho\u00e3n, x\u00e2y d\u1ef1ng \u201cchunk\u201d ki\u1ebfn th\u1ee9c \u2013 nh\u1eefng m\u1ea3nh th\u00f4ng tin c\u00f3 th\u1ec3 ghi nh\u1edb v\u00e0 v\u1eadn d\u1ee5ng d\u1ec5 d\u00e0ng, \u0111\u1ed3ng th\u1eddi hi\u1ec3u c\u00e1ch gi\u1ea5c ng\u1ee7 gi\u00fap c\u1ee7ng c\u1ed1 tr\u00ed nh\u1edb.<\/span><\/p>\n

Kh\u00f3a h\u1ecdc g\u1ed3m 4 m\u00f4-\u0111un ch\u00ednh, t\u1eeb ch\u1ebf \u0111\u1ed9 t\u01b0 duy t\u1eadp trung \u2013 ph\u00e2n t\u00e1n \u0111\u1ebfn k\u1ef9 thu\u1eadt ghi nh\u1edb v\u00e0 c\u00e1ch v\u01b0\u1ee3t qua h\u1ed9i ch\u1ee9ng k\u1ebb m\u1ea1o danh (impostor syndrome). V\u1edbi th\u1eddi l\u01b0\u1ee3ng linh ho\u1ea1t (15\u201320 gi\u1edd), h\u01a1n 4 tri\u1ec7u h\u1ecdc vi\u00ean \u0111\u00e3 theo h\u1ecdc v\u00e0 \u0111\u00e1nh gi\u00e1 4.8\/5 sao t\u1eeb 92.682 \u0111\u00e1nh gi\u00e1 \u2013 minh ch\u1ee9ng cho hi\u1ec7u qu\u1ea3 th\u1ef1c ti\u1ec5n m\u00e0 kh\u00f3a h\u1ecdc mang l\u1ea1i trong vi\u1ec7c c\u1ea3i thi\u1ec7n n\u0103ng su\u1ea5t h\u1ecdc t\u1eadp v\u00e0 kh\u1ea3 n\u0103ng s\u00e1ng t\u1ea1o trong coding.<\/span><\/p>\n

Truy c\u1eadp kh\u00f3a h\u1ecdc t\u1ea1i Coursera<\/span><\/a><\/span><\/p>\n

2. Introduction to Git and GitHub<\/b><\/span><\/h2>\n

Nh\u00e0 cung c\u1ea5p: Google<\/span><\/p>\n

Ch\u1ee9ng ch\u1ec9: Professional Certificate \u2013 Google IT Automation with Python<\/span><\/p>\n

Git v\u00e0 GitHub l\u00e0 hai c\u00f4ng c\u1ee5 kh\u00f4ng th\u1ec3 thi\u1ebfu trong h\u00e0nh tr\u00ecnh tr\u1edf th\u00e0nh l\u1eadp tr\u00ecnh vi\u00ean chuy\u00ean nghi\u1ec7p. Kh\u00f3a h\u1ecdc n\u00e0y h\u01b0\u1edbng d\u1eabn sinh vi\u00ean t\u1eeb nh\u1eefng thao t\u00e1c c\u01a1 b\u1ea3n nh\u01b0 c\u00e0i \u0111\u1eb7t, commit, push\/pull cho \u0111\u1ebfn x\u1eed l\u00fd xung \u0111\u1ed9t, branching v\u00e0 merging \u2013 n\u1ec1n t\u1ea3ng c\u1ee7a m\u1ecdi d\u1ef1 \u00e1n ph\u1ea7n m\u1ec1m hi\u1ec7n \u0111\u1ea1i. V\u1edbi 4 m\u00f4-\u0111un, bao g\u1ed3m t\u00edch h\u1ee3p GitHub, pull requests v\u00e0 code review, kh\u00f3a h\u1ecdc gi\u00fap sinh vi\u00ean hi\u1ec3u s\u00e2u h\u01a1n v\u1ec1 quy tr\u00ecnh l\u00e0m vi\u1ec7c nh\u00f3m trong m\u00f4i tr\u01b0\u1eddng ph\u00e1t tri\u1ec3n ph\u1ea7n m\u1ec1m th\u1ef1c t\u1ebf.<\/span><\/p>\n

Th\u1eddi l\u01b0\u1ee3ng k\u00e9o d\u00e0i 2 tu\u1ea7n (10 gi\u1edd\/tu\u1ea7n), t\u1ed5ng 20 gi\u1edd v\u1edbi 16 b\u00e0i t\u1eadp th\u1ef1c h\u00e0nh, \u0111\u01b0\u1ee3c \u0111\u00e1nh gi\u00e1 4.8\/5 t\u1eeb 7.896 \u0111\u00e1nh gi\u00e1, v\u1edbi h\u01a1n 331.000 h\u1ecdc vi\u00ean.\u00a0 \u0110\u00e2y l\u00e0 kh\u00f3a h\u1ecdc l\u00fd t\u01b0\u1edfng \u0111\u1ec3 sinh vi\u00ean r\u00e8n luy\u1ec7n t\u01b0 duy d\u1ef1 \u00e1n, l\u00e0m vi\u1ec7c c\u1ed9ng t\u00e1c\u00a0<\/span><\/p>\n

Truy c\u1eadp kh\u00f3a h\u1ecdc t\u1ea1i Coursera<\/span><\/a><\/span><\/p>\n

3. Technical Support Fundamentals<\/b><\/span><\/h2>\n

Nh\u00e0 cung c\u1ea5p: Google<\/span><\/p>\n

Ch\u1ee9ng ch\u1ec9: Professional Certificate \u2013 Google IT Support<\/span><\/p>\n

N\u1ebfu b\u1ea1n \u0111ang mu\u1ed1n hi\u1ec3u c\u00e1ch v\u1eadn h\u00e0nh c\u1ee7a m\u1ed9t h\u1ec7 th\u1ed1ng CNTT chuy\u00ean nghi\u1ec7p, kh\u00f3a h\u1ecdc n\u00e0y l\u00e0 b\u01b0\u1edbc kh\u1edfi \u0111\u1ea7u ho\u00e0n h\u1ea3o. N\u1ed9i dung bao qu\u00e1t t\u1eeb l\u1ecbch s\u1eed m\u00e1y t\u00ednh, ph\u1ea7n c\u1ee9ng \u2013 h\u1ec7 \u0111i\u1ec1u h\u00e0nh, \u0111\u1ebfn m\u1ea1ng Internet v\u00e0 k\u1ef9 n\u0103ng giao ti\u1ebfp h\u1ed7 tr\u1ee3 kh\u00e1ch h\u00e0ng \u2013 nh\u1eefng y\u1ebfu t\u1ed1 c\u1ed1t l\u00f5i trong c\u00e1c v\u1ecb tr\u00ed IT entry-level. Kh\u00f3a h\u1ecdc c\u00f3 6 m\u00f4-\u0111un v\u1edbi nhi\u1ec1u b\u00e0i t\u1eadp m\u00f4 ph\u1ecfng th\u1ef1c t\u1ebf nh\u01b0 l\u1eafp r\u00e1p m\u00e1y t\u00ednh, qu\u1ea3n l\u00fd h\u1ec7 \u0111i\u1ec1u h\u00e0nh (Windows, Linux, macOS) v\u00e0 kh\u1eafc ph\u1ee5c s\u1ef1 c\u1ed1 ng\u01b0\u1eddi d\u00f9ng.<\/span><\/p>\n

Th\u1eddi l\u01b0\u1ee3ng h\u1ecdc 2 tu\u1ea7n (10 gi\u1edd\/tu\u1ea7n), \u0111\u01b0\u1ee3c \u0111\u00e1nh gi\u00e1 4.8\/5 sao t\u1eeb 162.031 ng\u01b0\u1eddi h\u1ecdc, thu h\u00fat tr\u00ean 2 tri\u1ec7u h\u1ecdc vi\u00ean to\u00e0n c\u1ea7u. \u0110\u00e2y l\u00e0 l\u1ef1a ch\u1ecdn l\u00fd t\u01b0\u1edfng cho sinh vi\u00ean mu\u1ed1n hi\u1ec3u to\u00e0n di\u1ec7n h\u1ec7 sinh th\u00e1i CNTT tr\u01b0\u1edbc khi b\u01b0\u1edbc v\u00e0o chuy\u00ean ng\u00e0nh s\u00e2u h\u01a1n, ph\u00e1t tri\u1ec3n k\u1ef9 n\u0103ng th\u1ef1c ti\u1ec5n cho c\u00f4ng vi\u1ec7c IT entry-level, t\u0103ng kh\u1ea3 n\u0103ng gi\u1ea3i quy\u1ebft v\u1ea5n \u0111\u1ec1.<\/span><\/p>\n

\u00a0<\/span>Truy c\u1eadp kh\u00f3a h\u1ecdc t\u1ea1i Coursera<\/span><\/a><\/span><\/p>\n

4. Generative AI for Everyone (AI T\u1ea1o Sinh Cho M\u1ecdi Ng\u01b0\u1eddi)<\/b><\/span><\/h2>\n

Nh\u00e0 cung c\u1ea5p: DeepLearning.AI<\/span><\/p>\n

Gi\u1ea3ng vi\u00ean: Andrew Ng \u2013 Nh\u00e0 s\u00e1ng l\u1eadp Coursera, chuy\u00ean gia AI h\u00e0ng \u0111\u1ea7u th\u1ebf gi\u1edbi<\/span><\/p>\n

Kh\u00f3a h\u1ecdc mang \u0111\u1ebfn g\u00f3c nh\u00ecn to\u00e0n di\u1ec7n v\u00e0 d\u1ec5 hi\u1ec3u v\u1ec1 tr\u00ed tu\u1ec7 nh\u00e2n t\u1ea1o t\u1ea1o sinh (Generative AI) \u2013 c\u00f4ng ngh\u1ec7 \u0111\u1ee9ng sau ChatGPT, DALL\u00b7E hay Copilot. B\u1ea1n s\u1ebd \u0111\u01b0\u1ee3c t\u00ecm hi\u1ec3u c\u00e1ch ho\u1ea1t \u0111\u1ed9ng c\u1ee7a AI t\u1ea1o sinh, quy tr\u00ecnh tri\u1ec3n khai m\u1ed9t d\u1ef1 \u00e1n AI, x\u00e2y d\u1ef1ng prompt hi\u1ec7u qu\u1ea3, c\u00f9ng c\u00e1c \u1ee9ng d\u1ee5ng th\u1ef1c t\u1ebf trong doanh nghi\u1ec7p v\u00e0 \u0111\u1eddi s\u1ed1ng.<\/span><\/p>\n

Ch\u1ec9 v\u1edbi 5 gi\u1edd h\u1ecdc qua 3 m\u00f4-\u0111un, kh\u00f3a h\u1ecdc cung c\u1ea5p t\u01b0 duy n\u1ec1n t\u1ea3ng \u0111\u1ec3 sinh vi\u00ean CNTT hi\u1ec3u, \u1ee9ng d\u1ee5ng v\u00e0 \u0111\u1ed3ng s\u00e1ng t\u1ea1o c\u00f9ng AI. Hi\u1ec7n \u0111\u00e3 c\u00f3 h\u01a1n 712.000 ng\u01b0\u1eddi h\u1ecdc, v\u1edbi \u0111\u00e1nh gi\u00e1 4.8\/5 t\u1eeb 4.382 \u0111\u00e1nh gi\u00e1, minh ch\u1ee9ng cho s\u1ee9c \u1ea3nh h\u01b0\u1edfng c\u1ee7a n\u1ed9i dung \u0111\u01b0\u1ee3c gi\u1ea3ng d\u1ea1y b\u1edfi ch\u00ednh Andrew Ng.<\/span><\/p>\n

\u00a0Truy c\u1eadp kh\u00f3a h\u1ecdc t\u1ea1i Coursera<\/span><\/a><\/span><\/p>\n

5. Research Methodologies<\/b><\/span><\/h2>\n

Nh\u00e0 cung c\u1ea5p: Queen Mary University of London<\/span><\/p>\n

D\u00e0nh cho sinh vi\u00ean quan t\u00e2m \u0111\u1ebfn nghi\u00ean c\u1ee9u d\u1eef li\u1ec7u v\u00e0 ph\u01b0\u01a1ng ph\u00e1p khoa h\u1ecdc, kh\u00f3a h\u1ecdc n\u00e0y trang b\u1ecb n\u1ec1n t\u1ea3ng v\u1ec1 thi\u1ebft k\u1ebf nghi\u00ean c\u1ee9u \u0111\u1ecbnh t\u00ednh \u2013 \u0111\u1ecbnh l\u01b0\u1ee3ng, ph\u01b0\u01a1ng ph\u00e1p l\u1ea5y m\u1eabu, thu th\u1eadp v\u00e0 ph\u00e2n t\u00edch d\u1eef li\u1ec7u. B\u1ea1n s\u1ebd h\u1ecdc qua 4 m\u00f4-\u0111un: t\u1eeb survey, focus group, sampling \u0111\u1ebfn ph\u00e2n bi\u1ec7t d\u1eef li\u1ec7u s\u01a1 c\u1ea5p \u2013 th\u1ee9 c\u1ea5p v\u00e0 k\u1ef9 thu\u1eadt quan s\u00e1t th\u1ef1c \u0111\u1ecba.<\/span><\/p>\n

V\u1edbi kho\u1ea3ng 20 gi\u1edd h\u1ecdc v\u00e0 22 b\u00e0i t\u1eadp, kh\u00f3a h\u1ecdc kh\u00f4ng ch\u1ec9 h\u1eefu \u00edch cho sinh vi\u00ean chu\u1ea9n b\u1ecb \u0111\u1ec1 t\u00e0i nghi\u00ean c\u1ee9u m\u00e0 c\u00f2n gi\u00fap ph\u00e1t tri\u1ec3n t\u01b0 duy ph\u00e2n t\u00edch d\u1eef li\u1ec7u l\u1edbn (Big Data) \u2013 k\u1ef9 n\u0103ng ng\u00e0y c\u00e0ng c\u1ea7n thi\u1ebft trong ng\u00e0nh CNTT hi\u1ec7n \u0111\u1ea1i. Kh\u00f3a h\u1ecdc \u0111\u01b0\u1ee3c \u0111\u00e1nh gi\u00e1 4.7\/5 t\u1eeb 578 \u0111\u00e1nh gi\u00e1, thu h\u00fat h\u01a1n 43.000 h\u1ecdc vi\u00ean to\u00e0n c\u1ea7u.<\/span><\/p>\n

\u00a0Truy c\u1eadp kh\u00f3a h\u1ecdc t\u1ea1i Coursera<\/span><\/a><\/span><\/p>\n

6. Understanding Research Methods<\/span><\/strong><\/h2>\n

Nh\u00e0 cung c\u1ea5p: University of London (h\u1ee3p t\u00e1c SOAS University of London)<\/span><\/p>\n

Kh\u00f3a h\u1ecdc n\u00e0y l\u1ea1i gi\u00fap b\u1ea1n x\u00e2y d\u1ef1ng t\u01b0 duy nghi\u00ean c\u1ee9u h\u1ecdc thu\u1eadt \u2013 k\u1ef9 n\u0103ng n\u1ec1n t\u1ea3ng cho m\u1ecdi d\u1ef1 \u00e1n AI, ph\u1ea7n m\u1ec1m ho\u1eb7c lu\u1eadn v\u0103n t\u1ed1t nghi\u1ec7p. N\u1ed9i dung bao g\u1ed3m 4 m\u00f4-\u0111un: x\u00e2y d\u1ef1ng c\u00e2u h\u1ecfi nghi\u00ean c\u1ee9u; ph\u00e2n t\u00edch t\u00e0i li\u1ec7u (literature review); l\u1ef1a ch\u1ecdn ph\u01b0\u01a1ng ph\u00e1p ti\u1ebfp c\u1eadn; so\u1ea1n th\u1ea3o \u0111\u1ec1 xu\u1ea5t nghi\u00ean c\u1ee9u (research proposal).<\/span><\/p>\n

V\u1edbi 6 gi\u1edd h\u1ecdc linh ho\u1ea1t, kh\u00f3a h\u1ecdc gi\u00fap sinh vi\u00ean r\u00e8n luy\u1ec7n kh\u1ea3 n\u0103ng t\u01b0 duy ph\u1ea3n bi\u1ec7n, \u0111\u00e1nh gi\u00e1 ngu\u1ed3n th\u00f4ng tin v\u00e0 x\u00e2y d\u1ef1ng d\u1ef1 \u00e1n khoa h\u1ecdc c\u00f3 t\u00ednh \u1ee9ng d\u1ee5ng cao,\u00a0 r\u00e8n luy\u1ec7n k\u1ef9 n\u0103ng nghi\u00ean c\u1ee9u cho lu\u1eadn v\u0103n ho\u1eb7c d\u1ef1 \u00e1n AI\/ph\u1ea7n m\u1ec1m. Hi\u1ec7n c\u00f3 h\u01a1n 410.000 h\u1ecdc vi\u00ean, v\u1edbi \u0111\u00e1nh gi\u00e1 4.6\/5 t\u1eeb 8.701 \u0111\u00e1nh gi\u00e1.<\/span><\/p>\n

Truy c\u1eadp kh\u00f3a h\u1ecdc t\u1ea1i Coursera<\/span><\/a><\/span><\/p>\n

Nh\u1eefng kh\u00f3a h\u1ecdc tr\u00ean kh\u00f4ng ch\u1ec9 cung c\u1ea5p ki\u1ebfn th\u1ee9c chuy\u00ean m\u00f4n, m\u00e0 c\u00f2n r\u00e8n luy\u1ec7n t\u01b0 duy h\u1ecdc t\u1eadp su\u1ed1t \u0111\u1eddi, gi\u00fap sinh vi\u00ean CNTT ch\u1ee7 \u0111\u1ed9ng th\u00edch nghi v\u00e0 s\u00e1ng t\u1ea1o trong k\u1ef7 nguy\u00ean AI.\u00a0<\/span><\/p>\n

Finland Metropolia Vietnam lu\u00f4n \u0111\u1ed3ng h\u00e0nh c\u00f9ng b\u1ea1n tr\u00ean h\u00e0nh tr\u00ecnh chinh ph\u1ee5c tri th\u1ee9c to\u00e0n c\u1ea7u \u2013 n\u01a1i l\u00fd thuy\u1ebft \u0111\u01b0\u1ee3c k\u1ebft n\u1ed1i v\u1edbi th\u1ef1c ti\u1ec5n, v\u00e0 h\u1ecdc t\u1eadp tr\u1edf th\u00e0nh h\u00e0nh tr\u00ecnh ph\u00e1t tri\u1ec3n b\u1ea3n th\u00e2n to\u00e0n di\u1ec7n.<\/span><\/p>\n

Li\u00ean h\u1ec7 Finland Metropolia Vietnam \u0111\u1ec3 \u0111\u01b0\u1ee3c t\u01b0 v\u1ea5n l\u1ed9 tr\u00ecnh h\u1ecdc t\u1eadp c\u00e1 nh\u00e2n h\u00f3a, chu\u1ea9n b\u1ecb cho h\u00e0nh tr\u00ecnh qu\u1ed1c t\u1ebf c\u1ee7a ri\u00eang b\u1ea1n.<\/span><\/p>\n

 <\/p>\n","protected":false},"excerpt":{"rendered":"

Kh\u00e1m ph\u00e1 6 kh\u00f3a h\u1ecdc Coursera\u00a0 gi\u00fap sinh vi\u00ean CNTT c\u1ee7ng c\u1ed1 n\u1ec1n t\u1ea3ng, r\u00e8n k\u1ef9 n\u0103ng t\u1ef1 h\u1ecdc v\u00e0 m\u1edf r\u1ed9ng c\u01a1 h\u1ed9i ngh\u1ec1 nghi\u1ec7p trong k\u1ef7 nguy\u00ean s\u1ed1.<\/p>\n","protected":false},"author":7,"featured_media":1554,"comment_status":"open","ping_status":"closed","sticky":false,"template":"","format":"standard","meta":{"footnotes":""},"categories":[1],"tags":[],"class_list":["post-1552","post","type-post","status-publish","format-standard","has-post-thumbnail","hentry","category-tin-tuc","post_format-post-format-0"],"_links":{"self":[{"href":"https:\/\/metropolia.edu.vn\/en\/wp-json\/wp\/v2\/posts\/1552","targetHints":{"allow":["GET"]}}],"collection":[{"href":"https:\/\/metropolia.edu.vn\/en\/wp-json\/wp\/v2\/posts"}],"about":[{"href":"https:\/\/metropolia.edu.vn\/en\/wp-json\/wp\/v2\/types\/post"}],"author":[{"embeddable":true,"href":"https:\/\/metropolia.edu.vn\/en\/wp-json\/wp\/v2\/users\/7"}],"replies":[{"embeddable":true,"href":"https:\/\/metropolia.edu.vn\/en\/wp-json\/wp\/v2\/comments?post=1552"}],"version-history":[{"count":0,"href":"https:\/\/metropolia.edu.vn\/en\/wp-json\/wp\/v2\/posts\/1552\/revisions"}],"wp:featuredmedia":[{"embeddable":true,"href":"https:\/\/metropolia.edu.vn\/en\/wp-json\/wp\/v2\/media\/1554"}],"wp:attachment":[{"href":"https:\/\/metropolia.edu.vn\/en\/wp-json\/wp\/v2\/media?parent=1552"}],"wp:term":[{"taxonomy":"category","embeddable":true,"href":"https:\/\/metropolia.edu.vn\/en\/wp-json\/wp\/v2\/categories?post=1552"},{"taxonomy":"post_tag","embeddable":true,"href":"https:\/\/metropolia.edu.vn\/en\/wp-json\/wp\/v2\/tags?post=1552"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}