{"id":16150,"date":"2026-04-02T15:21:53","date_gmt":"2026-04-02T08:21:53","guid":{"rendered":"https:\/\/www.careerlink.vn\/cam-nang-viec-lam\/?p=16150"},"modified":"2026-07-16T13:49:53","modified_gmt":"2026-07-16T06:49:53","slug":"ai-la-gi-tim-hieu-ve-nganh-tri-tue-nhan-tao","status":"publish","type":"post","link":"https:\/\/www.careerlink.vn\/cam-nang-viec-lam\/tu-van-nghe-nghiep\/ai-la-gi-tim-hieu-ve-nganh-tri-tue-nhan-tao","title":{"rendered":"AI L\u00e0 G\u00ec? T\u00ecm Hi\u1ec3u V\u1ec1 Ng\u00e0nh Tr\u00ed Tu\u1ec7 Nh\u00e2n T\u1ea1o V\u00e0 C\u01a1 H\u1ed9i Ngh\u1ec1 Nghi\u1ec7p"},"content":{"rendered":"

Trong b\u1ed1i c\u1ea3nh chuy\u1ec3n \u0111\u1ed5i s\u1ed1 di\u1ec5n ra m\u1ea1nh m\u1ebd tr\u00ean to\u00e0n c\u1ea7u, AI l\u00e0 g\u00ec t\u00ecm hi\u1ec3u v\u1ec1 ng\u00e0nh tr\u00ed tu\u1ec7 nh\u00e2n t\u1ea1o<\/strong> tr\u1edf th\u00e0nh c\u00e2u h\u1ecfi \u0111\u01b0\u1ee3c r\u1ea5t nhi\u1ec1u b\u1ea1n tr\u1ebb quan t\u00e2m. Tr\u00ed tu\u1ec7 nh\u00e2n t\u1ea1o (Artificial Intelligence \u2013 AI) kh\u00f4ng c\u00f2n l\u00e0 kh\u00e1i ni\u1ec7m xa v\u1eddi m\u00e0 \u0111\u00e3 hi\u1ec7n di\u1ec7n trong m\u1ecdi kh\u00eda c\u1ea1nh cu\u1ed9c s\u1ed1ng, t\u1eeb tr\u1ee3 l\u00fd \u1ea3o tr\u00ean \u0111i\u1ec7n tho\u1ea1i \u0111\u1ebfn xe t\u1ef1 l\u00e1i. B\u00e0i vi\u1ebft n\u00e0y s\u1ebd gi\u00fap b\u1ea1n hi\u1ec3u r\u00f5 b\u1ea3n ch\u1ea5t c\u1ee7a AI, c\u00e1c nh\u00e1nh chuy\u00ean m\u00f4n, \u1ee9ng d\u1ee5ng th\u1ef1c t\u1ebf v\u00e0 l\u1ed9 tr\u00ecnh x\u00e2y d\u1ef1ng s\u1ef1 nghi\u1ec7p trong l\u0129nh v\u1ef1c \u0111\u1ea7y ti\u1ec1m n\u0103ng n\u00e0y.<\/p>\n\n\n\n

\"\"<\/figure>\n\n\n\n
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T\u1ed5ng quan nhanh v\u1ec1 ng\u00e0nh Tr\u00ed tu\u1ec7 nh\u00e2n t\u1ea1o:<\/strong><\/p>\n

\u2013 AI l\u00e0 l\u0129nh v\u1ef1c khoa h\u1ecdc m\u00e1y t\u00ednh gi\u00fap m\u00e1y m\u00f3c m\u00f4 ph\u1ecfng t\u01b0 duy v\u00e0 h\u00e0nh vi con ng\u01b0\u1eddi.<\/p>\n

\u2013 C\u00e1c nh\u00e1nh ch\u00ednh g\u1ed3m Machine Learning, Deep Learning, NLP v\u00e0 Computer Vision.<\/p>\n

\u2013 Ng\u00e0nh AI \u0111ang thi\u1ebfu h\u1ee5t nh\u00e2n l\u1ef1c tr\u1ea7m tr\u1ecdng, m\u1edf ra nhi\u1ec1u v\u1ecb tr\u00ed vi\u1ec7c l\u00e0m t\u1ea1i Vi\u1ec7t Nam v\u00e0 qu\u1ed1c t\u1ebf.<\/p>\n

\u2013 Sinh vi\u00ean c\u00f3 th\u1ec3 theo h\u1ecdc t\u1ea1i \u0110\u1ea1i h\u1ecdc B\u00e1ch khoa H\u00e0 N\u1ed9i, FPT, VNUHCM ho\u1eb7c c\u00e1c kh\u00f3a h\u1ecdc tr\u1ef1c tuy\u1ebfn uy t\u00edn.<\/p>\n<\/div>\n\n\n\n

1. AI l\u00e0 g\u00ec? Kh\u00e1i ni\u1ec7m v\u1ec1 Tr\u00ed tu\u1ec7 nh\u00e2n t\u1ea1o (Artificial Intelligence)<\/h2>\n\n\n\n

Tr\u00ed tu\u1ec7 nh\u00e2n t\u1ea1o (Artificial Intelligence \u2013 AI) l\u00e0 m\u1ed9t l\u0129nh v\u1ef1c thu\u1ed9c khoa h\u1ecdc m\u00e1y t\u00ednh, t\u1eadp trung v\u00e0o vi\u1ec7c x\u00e2y d\u1ef1ng c\u00e1c h\u1ec7 th\u1ed1ng c\u00f3 kh\u1ea3 n\u0103ng th\u1ef1c hi\u1ec7n nh\u1eefng t\u00e1c v\u1ee5 th\u01b0\u1eddng \u0111\u00f2i h\u1ecfi tr\u00ed th\u00f4ng minh c\u1ee7a con ng\u01b0\u1eddi. C\u00e1c t\u00e1c v\u1ee5 \u0111\u00f3 bao g\u1ed3m nh\u1eadn d\u1ea1ng gi\u1ecdng n\u00f3i, ra quy\u1ebft \u0111\u1ecbnh, d\u1ecbch ng\u00f4n ng\u1eef v\u00e0 nh\u1eadn di\u1ec7n h\u00ecnh \u1ea3nh. Thu\u1eadt ng\u1eef “Artificial Intelligence” \u0111\u01b0\u1ee3c nh\u00e0 khoa h\u1ecdc John McCarthy \u0111\u1eb7t ra l\u1ea7n \u0111\u1ea7u v\u00e0o n\u0103m 1956 t\u1ea1i h\u1ed9i ngh\u1ecb Dartmouth, \u0111\u00e1nh d\u1ea5u s\u1ef1 kh\u1edfi \u0111\u1ea7u ch\u00ednh th\u1ee9c c\u1ee7a ng\u00e0nh nghi\u00ean c\u1ee9u n\u00e0y.<\/p>\n\n\n\n

V\u1ec1 b\u1ea3n ch\u1ea5t, c\u00f4ng ngh\u1ec7 AI ho\u1ea1t \u0111\u1ed9ng b\u1eb1ng c\u00e1ch x\u1eed l\u00fd l\u01b0\u1ee3ng l\u1edbn d\u1eef li\u1ec7u, t\u00ecm ra c\u00e1c m\u1eabu h\u00ecnh (pattern) v\u00e0 \u0111\u01b0a ra d\u1ef1 \u0111o\u00e1n ho\u1eb7c h\u00e0nh \u0111\u1ed9ng d\u1ef1a tr\u00ean nh\u1eefng m\u1eabu h\u00ecnh \u0111\u00f3. Kh\u00e1c v\u1edbi l\u1eadp tr\u00ecnh truy\u1ec1n th\u1ed1ng n\u01a1i con ng\u01b0\u1eddi vi\u1ebft t\u1eebng quy t\u1eafc c\u1ee5 th\u1ec3, AI c\u00f3 kh\u1ea3 n\u0103ng t\u1ef1 h\u1ecdc h\u1ecfi t\u1eeb d\u1eef li\u1ec7u v\u00e0 c\u1ea3i thi\u1ec7n hi\u1ec7u su\u1ea5t theo th\u1eddi gian. \u0110\u00e2y ch\u00ednh l\u00e0 \u0111i\u1ec3m khi\u1ebfn tr\u00ed tu\u1ec7 nh\u00e2n t\u1ea1o tr\u1edf n\u00ean kh\u00e1c bi\u1ec7t v\u00e0 m\u1ea1nh m\u1ebd so v\u1edbi c\u00e1c ph\u1ea7n m\u1ec1m th\u00f4ng th\u01b0\u1eddng.<\/p>\n\n\n\n

Ph\u00e2n lo\u1ea1i AI theo n\u0103ng l\u1ef1c<\/h3>\n\n\n\n

\u2013 AI h\u1eb9p (Narrow AI):<\/strong> \u0110\u00e2y l\u00e0 lo\u1ea1i AI ph\u1ed5 bi\u1ebfn hi\u1ec7n nay, \u0111\u01b0\u1ee3c thi\u1ebft k\u1ebf \u0111\u1ec3 th\u1ef1c hi\u1ec7n m\u1ed9t t\u00e1c v\u1ee5 c\u1ee5 th\u1ec3 nh\u01b0 nh\u1eadn di\u1ec7n khu\u00f4n m\u1eb7t ho\u1eb7c d\u1ecbch thu\u1eadt t\u1ef1 \u0111\u1ed9ng.<\/p>\n\n\n\n

\u2013 AI t\u1ed5ng qu\u00e1t (General AI \u2013 AGI):<\/strong> M\u1ee5c ti\u00eau d\u00e0i h\u1ea1n c\u1ee7a ng\u00e0nh, n\u01a1i m\u00e1y m\u00f3c c\u00f3 th\u1ec3 t\u01b0 duy v\u00e0 gi\u1ea3i quy\u1ebft v\u1ea5n \u0111\u1ec1 linh ho\u1ea1t nh\u01b0 con ng\u01b0\u1eddi, hi\u1ec7n v\u1eabn \u0111ang trong giai \u0111o\u1ea1n nghi\u00ean c\u1ee9u.<\/p>\n\n\n\n

\u2013 Si\u00eau tr\u00ed tu\u1ec7 nh\u00e2n t\u1ea1o (Super AI):<\/strong> Kh\u00e1i ni\u1ec7m l\u00fd thuy\u1ebft v\u1ec1 h\u1ec7 th\u1ed1ng v\u01b0\u1ee3t tr\u1ed9i ho\u00e0n to\u00e0n so v\u1edbi tr\u00ed tu\u1ec7 con ng\u01b0\u1eddi \u1edf m\u1ecdi l\u0129nh v\u1ef1c, ch\u01b0a t\u1ed3n t\u1ea1i trong th\u1ef1c t\u1ebf.<\/p>\n\n\n\n

Hi\u1ec7n t\u1ea1i, t\u1ea5t c\u1ea3 s\u1ea3n ph\u1ea9m AI th\u01b0\u01a1ng m\u1ea1i tr\u00ean th\u1ebf gi\u1edbi \u0111\u1ec1u thu\u1ed9c nh\u00f3m AI h\u1eb9p. Tuy nhi\u00ean, c\u00e1c t\u1ed5 ch\u1ee9c nghi\u00ean c\u1ee9u h\u00e0ng \u0111\u1ea7u nh\u01b0 Google DeepMind v\u00e0 OpenAI \u0111ang n\u1ed7 l\u1ef1c ph\u00e1t tri\u1ec3n AGI, t\u1ea1o ra nh\u1eefng b\u01b0\u1edbc ti\u1ebfn \u0111\u00e1ng k\u1ec3 trong v\u00e0i n\u0103m tr\u1edf l\u1ea1i \u0111\u00e2y.<\/p>\n\n

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\"AI<\/figure>\n<\/div>\n\n

2. C\u00e1c nh\u00e1nh ch\u00ednh c\u1ee7a ng\u00e0nh Tr\u00ed tu\u1ec7 nh\u00e2n t\u1ea1o<\/h2>\n\n\n\n

Ng\u00e0nh AI l\u00e0 m\u1ed9t h\u1ec7 sinh th\u00e1i r\u1ed9ng l\u1edbn v\u1edbi nhi\u1ec1u nh\u00e1nh chuy\u00ean m\u00f4n kh\u00e1c nhau. M\u1ed7i nh\u00e1nh gi\u1ea3i quy\u1ebft m\u1ed9t nh\u00f3m b\u00e0i to\u00e1n ri\u00eang bi\u1ec7t, nh\u01b0ng ch\u00fang th\u01b0\u1eddng k\u1ebft h\u1ee3p v\u1edbi nhau trong c\u00e1c \u1ee9ng d\u1ee5ng th\u1ef1c t\u1ebf. Hi\u1ec3u r\u00f5 t\u1eebng nh\u00e1nh s\u1ebd gi\u00fap b\u1ea1n \u0111\u1ecbnh h\u01b0\u1edbng chuy\u00ean m\u00f4n ph\u00f9 h\u1ee3p khi theo \u0111u\u1ed5i s\u1ef1 nghi\u1ec7p trong l\u0129nh v\u1ef1c artificial intelligence.<\/p>\n\n\n\n

N\u1ebfu b\u1ea1n \u0111ang t\u00ecm ki\u1ebfm c\u01a1 h\u1ed9i vi\u1ec7c l\u00e0m trong l\u0129nh v\u1ef1c c\u00f4ng ngh\u1ec7 th\u00f4ng tin v\u00e0 AI, h\u00e3y tham kh\u1ea3o c\u00e1c v\u1ecb tr\u00ed tuy\u1ec3n d\u1ee5ng m\u1edbi nh\u1ea5t t\u1ea1i chuy\u00ean m\u1ee5c vi\u1ec7c l\u00e0m CNTT \u2013 ph\u1ea7n m\u1ec1m tr\u00ean careerlink<\/a><\/em><\/strong> \u0111\u1ec3 n\u1eafm b\u1eaft xu h\u01b0\u1edbng tuy\u1ec3n d\u1ee5ng hi\u1ec7n nay.<\/p>\n\n\n\n

Nh\u00e1nh AI<\/th>M\u00f4 t\u1ea3<\/th>\u1ee8ng d\u1ee5ng ti\u00eau bi\u1ec3u<\/th><\/tr><\/thead>
Machine Learning (H\u1ecdc m\u00e1y)<\/td>Thu\u1eadt to\u00e1n t\u1ef1 h\u1ecdc t\u1eeb d\u1eef li\u1ec7u m\u00e0 kh\u00f4ng c\u1ea7n l\u1eadp tr\u00ecnh t\u01b0\u1eddng minh<\/td>G\u1ee3i \u00fd s\u1ea3n ph\u1ea9m, ph\u00e1t hi\u1ec7n gian l\u1eadn<\/td><\/tr>
Deep Learning (H\u1ecdc s\u00e2u)<\/td>M\u1ea1ng n\u01a1-ron nhi\u1ec1u t\u1ea7ng x\u1eed l\u00fd d\u1eef li\u1ec7u phi c\u1ea5u tr\u00fac<\/td>Nh\u1eadn d\u1ea1ng gi\u1ecdng n\u00f3i, t\u1ea1o h\u00ecnh \u1ea3nh<\/td><\/tr>
NLP (X\u1eed l\u00fd ng\u00f4n ng\u1eef t\u1ef1 nhi\u00ean)<\/td>Gi\u00fap m\u00e1y hi\u1ec3u, ph\u00e2n t\u00edch v\u00e0 sinh ng\u00f4n ng\u1eef con ng\u01b0\u1eddi<\/td>Chatbot, d\u1ecbch thu\u1eadt, ph\u00e2n t\u00edch c\u1ea3m x\u00fac<\/td><\/tr>
Computer Vision (Th\u1ecb gi\u00e1c m\u00e1y)<\/td>X\u1eed l\u00fd v\u00e0 hi\u1ec3u n\u1ed9i dung h\u00ecnh \u1ea3nh, video<\/td>Xe t\u1ef1 l\u00e1i, ki\u1ec3m tra ch\u1ea5t l\u01b0\u1ee3ng s\u1ea3n xu\u1ea5t<\/td><\/tr>
Robotics (Ng\u01b0\u1eddi m\u00e1y)<\/td>Thi\u1ebft k\u1ebf robot t\u1ef1 \u0111\u1ed9ng th\u1ef1c hi\u1ec7n t\u00e1c v\u1ee5 v\u1eadt l\u00fd<\/td>Robot c\u00f4ng nghi\u1ec7p, robot ph\u1eabu thu\u1eadt<\/td><\/tr><\/tbody><\/table><\/figure>\n\n\n\n

Machine Learning \u2013 N\u1ec1n t\u1ea3ng c\u1ed1t l\u00f5i<\/h3>\n\n\n\n

Machine Learning (H\u1ecdc m\u00e1y) l\u00e0 nh\u00e1nh quan tr\u1ecdng nh\u1ea5t v\u00e0 \u0111\u01b0\u1ee3c \u1ee9ng d\u1ee5ng r\u1ed9ng r\u00e3i nh\u1ea5t c\u1ee7a tr\u00ed tu\u1ec7 nh\u00e2n t\u1ea1o. Thay v\u00ec l\u1eadp tr\u00ecnh t\u1eebng quy t\u1eafc c\u1ee5 th\u1ec3, c\u00e1c thu\u1eadt to\u00e1n ML t\u1ef1 r\u00fat ra quy lu\u1eadt t\u1eeb d\u1eef li\u1ec7u hu\u1ea5n luy\u1ec7n. Machine Learning \u0111\u01b0\u1ee3c chia th\u00e0nh ba ph\u01b0\u01a1ng ph\u00e1p ch\u00ednh: h\u1ecdc c\u00f3 gi\u00e1m s\u00e1t (Supervised Learning), h\u1ecdc kh\u00f4ng gi\u00e1m s\u00e1t (Unsupervised Learning) v\u00e0 h\u1ecdc t\u0103ng c\u01b0\u1eddng (Reinforcement Learning). C\u00e1c n\u1ec1n t\u1ea3ng nh\u01b0 TensorFlow c\u1ee7a Google v\u00e0 PyTorch c\u1ee7a Meta l\u00e0 c\u00f4ng c\u1ee5 ph\u1ed5 bi\u1ebfn nh\u1ea5t \u0111\u1ec3 x\u00e2y d\u1ef1ng m\u00f4 h\u00ecnh ML hi\u1ec7n nay.<\/p>\n\n\n\n

Deep Learning \u2013 S\u1ee9c m\u1ea1nh t\u1eeb m\u1ea1ng n\u01a1-ron s\u00e2u<\/h3>\n\n\n\n

Deep Learning l\u00e0 t\u1eadp con c\u1ee7a Machine Learning, s\u1eed d\u1ee5ng c\u00e1c m\u1ea1ng n\u01a1-ron nh\u00e2n t\u1ea1o (Artificial Neural Networks) c\u00f3 nhi\u1ec1u t\u1ea7ng \u1ea9n \u0111\u1ec3 x\u1eed l\u00fd d\u1eef li\u1ec7u ph\u1ee9c t\u1ea1p. \u0110\u00e2y ch\u00ednh l\u00e0 c\u00f4ng ngh\u1ec7 \u0111\u1ee9ng sau c\u00e1c m\u00f4 h\u00ecnh ng\u00f4n ng\u1eef l\u1edbn (LLM) nh\u01b0 GPT c\u1ee7a OpenAI hay Gemini c\u1ee7a Google DeepMind. Deep Learning \u0111\u1eb7c bi\u1ec7t hi\u1ec7u qu\u1ea3 v\u1edbi d\u1eef li\u1ec7u phi c\u1ea5u tr\u00fac nh\u01b0 h\u00ecnh \u1ea3nh, \u00e2m thanh v\u00e0 v\u0103n b\u1ea3n, \u0111\u00f2i h\u1ecfi ph\u1ea7n c\u1ee9ng m\u1ea1nh m\u1ebd t\u1eeb c\u00e1c GPU c\u1ee7a NVIDIA \u0111\u1ec3 hu\u1ea5n luy\u1ec7n m\u00f4 h\u00ecnh.<\/p>\n\n\n\n

3. \u1ee8ng d\u1ee5ng th\u1ef1c t\u1ebf c\u1ee7a Tr\u00ed tu\u1ec7 nh\u00e2n t\u1ea1o<\/h2>\n\n\n\n

C\u00f4ng ngh\u1ec7 AI \u0111\u00e3 v\u01b0\u1ee3t ra kh\u1ecfi ph\u00f2ng th\u00ed nghi\u1ec7m v\u00e0 tr\u1edf th\u00e0nh m\u1ed9t ph\u1ea7n kh\u00f4ng th\u1ec3 t\u00e1ch r\u1eddi trong nhi\u1ec1u ng\u00e0nh c\u00f4ng nghi\u1ec7p. T\u1eeb y t\u1ebf, t\u00e0i ch\u00ednh \u0111\u1ebfn n\u00f4ng nghi\u1ec7p v\u00e0 gi\u00e1o d\u1ee5c, tr\u00ed tu\u1ec7 nh\u00e2n t\u1ea1o \u0111ang t\u1ea1o ra nh\u1eefng thay \u0111\u1ed5i s\u00e2u r\u1ed9ng trong c\u00e1ch con ng\u01b0\u1eddi l\u00e0m vi\u1ec7c v\u00e0 sinh ho\u1ea1t. T\u1ea1i Vi\u1ec7t Nam, nhi\u1ec1u doanh nghi\u1ec7p l\u1edbn nh\u01b0 FPT, VinAI v\u00e0 c\u00e1c startup c\u00f4ng ngh\u1ec7 \u0111\u00e3 t\u00edch c\u1ef1c \u1ee9ng d\u1ee5ng AI v\u00e0o s\u1ea3n ph\u1ea9m v\u00e0 d\u1ecbch v\u1ee5 c\u1ee7a m\u00ecnh.<\/p>\n\n\n\n

\u2013 Y t\u1ebf:<\/strong> AI h\u1ed7 tr\u1ee3 ch\u1ea9n \u0111o\u00e1n h\u00ecnh \u1ea3nh y khoa, d\u1ef1 \u0111o\u00e1n nguy c\u01a1 b\u1ec7nh t\u1eadt v\u00e0 ph\u00e1t tri\u1ec3n thu\u1ed1c m\u1edbi, gi\u00fap b\u00e1c s\u0129 \u0111\u01b0a ra quy\u1ebft \u0111\u1ecbnh ch\u00ednh x\u00e1c h\u01a1n.<\/p>\n\n\n\n

\u2013 T\u00e0i ch\u00ednh \u2013 Ng\u00e2n h\u00e0ng:<\/strong> C\u00e1c thu\u1eadt to\u00e1n AI ph\u00e1t hi\u1ec7n giao d\u1ecbch gian l\u1eadn theo th\u1eddi gian th\u1ef1c, \u0111\u00e1nh gi\u00e1 t\u00edn d\u1ee5ng t\u1ef1 \u0111\u1ed9ng v\u00e0 t\u1ed1i \u01b0u h\u00f3a danh m\u1ee5c \u0111\u1ea7u t\u01b0.<\/p>\n\n\n\n

\u2013 Th\u01b0\u01a1ng m\u1ea1i \u0111i\u1ec7n t\u1eed:<\/strong> H\u1ec7 th\u1ed1ng g\u1ee3i \u00fd s\u1ea3n ph\u1ea9m c\u00e1 nh\u00e2n h\u00f3a, chatbot ch\u0103m s\u00f3c kh\u00e1ch h\u00e0ng 24\/7 v\u00e0 d\u1ef1 b\u00e1o nhu c\u1ea7u h\u00e0ng h\u00f3a theo m\u00f9a v\u1ee5.<\/p>\n\n\n\n

\u2013 S\u1ea3n xu\u1ea5t:<\/strong> Robot v\u00e0 h\u1ec7 th\u1ed1ng th\u1ecb gi\u00e1c m\u00e1y ki\u1ec3m tra ch\u1ea5t l\u01b0\u1ee3ng s\u1ea3n ph\u1ea9m tr\u00ean d\u00e2y chuy\u1ec1n, gi\u1ea3m t\u1ef7 l\u1ec7 l\u1ed7i xu\u1ed1ng m\u1ee9c t\u1ed1i thi\u1ec3u.<\/p>\n\n\n\n

\u2013 Giao th\u00f4ng:<\/strong> Xe t\u1ef1 l\u00e1i c\u1ee7a Tesla v\u00e0 Waymo s\u1eed d\u1ee5ng AI k\u1ebft h\u1ee3p c\u1ea3m bi\u1ebfn \u0111\u1ec3 di chuy\u1ec3n an to\u00e0n m\u00e0 kh\u00f4ng c\u1ea7n s\u1ef1 can thi\u1ec7p c\u1ee7a con ng\u01b0\u1eddi.<\/p>\n\n\n\n

T\u1ea1i Vi\u1ec7t Nam, VinAI Research \u0111\u00e3 c\u00f4ng b\u1ed1 nhi\u1ec1u nghi\u00ean c\u1ee9u t\u1ea1i c\u00e1c h\u1ed9i ngh\u1ecb qu\u1ed1c t\u1ebf h\u00e0ng \u0111\u1ea7u nh\u01b0 NeurIPS v\u00e0 CVPR, kh\u1eb3ng \u0111\u1ecbnh v\u1ecb th\u1ebf c\u1ee7a Vi\u1ec7t Nam tr\u00ean b\u1ea3n \u0111\u1ed3 nghi\u00ean c\u1ee9u AI th\u1ebf gi\u1edbi. \u0110i\u1ec1u n\u00e0y cho th\u1ea5y ti\u1ec1m n\u0103ng ph\u00e1t tri\u1ec3n ng\u00e0nh AI t\u1ea1i Vi\u1ec7t Nam l\u00e0 r\u1ea5t l\u1edbn.<\/p>\n\n\n\n

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L\u01b0u \u00fd quan tr\u1ecdng:<\/strong><\/p>\n

\u2013 AI l\u00e0 c\u00f4ng c\u1ee5 h\u1ed7 tr\u1ee3, kh\u00f4ng ph\u1ea3i gi\u1ea3i ph\u00e1p thay th\u1ebf ho\u00e0n to\u00e0n con ng\u01b0\u1eddi. Trong y t\u1ebf, quy\u1ebft \u0111\u1ecbnh cu\u1ed1i c\u00f9ng v\u1eabn thu\u1ed9c v\u1ec1 b\u00e1c s\u0129.<\/p>\n

\u2013 Khi \u1ee9ng d\u1ee5ng AI c\u1ea7n l\u01b0u \u00fd v\u1ea5n \u0111\u1ec1 \u0111\u1ea1o \u0111\u1ee9c, quy\u1ec1n ri\u00eang t\u01b0 d\u1eef li\u1ec7u v\u00e0 t\u00ednh minh b\u1ea1ch c\u1ee7a thu\u1eadt to\u00e1n.<\/p>\n

\u2013 Ngh\u1ecb \u0111\u1ecbnh 13\/2023\/N\u0110-CP v\u1ec1 b\u1ea3o v\u1ec7 d\u1eef li\u1ec7u c\u00e1 nh\u00e2n t\u1ea1i Vi\u1ec7t Nam \u0111\u1eb7t ra khu\u00f4n kh\u1ed5 ph\u00e1p l\u00fd cho vi\u1ec7c thu th\u1eadp v\u00e0 x\u1eed l\u00fd d\u1eef li\u1ec7u ph\u1ee5c v\u1ee5 AI.<\/p>\n<\/div>\n\n\n\n

4. Ng\u00e0nh AI h\u1ecdc nh\u1eefng g\u00ec? Ch\u01b0\u01a1ng tr\u00ecnh \u0111\u00e0o t\u1ea1o t\u1ea1i Vi\u1ec7t Nam<\/h2>\n\n\n\n

\u0110\u1ec3 theo \u0111u\u1ed5i s\u1ef1 nghi\u1ec7p trong l\u0129nh v\u1ef1c tr\u00ed tu\u1ec7 nh\u00e2n t\u1ea1o, b\u1ea1n c\u1ea7n n\u1eafm v\u1eefng n\u1ec1n t\u1ea3ng to\u00e1n h\u1ecdc v\u00e0 khoa h\u1ecdc m\u00e1y t\u00ednh. Ch\u01b0\u01a1ng tr\u00ecnh \u0111\u00e0o t\u1ea1o AI t\u1ea1i c\u00e1c tr\u01b0\u1eddng \u0111\u1ea1i h\u1ecdc th\u01b0\u1eddng k\u00e9o d\u00e0i 4 n\u0103m, k\u1ebft h\u1ee3p l\u00fd thuy\u1ebft v\u00e0 th\u1ef1c h\u00e0nh qua c\u00e1c d\u1ef1 \u00e1n th\u1ef1c t\u1ebf. M\u1ed9t s\u1ed1 tr\u01b0\u1eddng \u0111\u1ea1i h\u1ecdc uy t\u00edn t\u1ea1i Vi\u1ec7t Nam \u0111\u00e3 m\u1edf ng\u00e0nh \u0111\u00e0o t\u1ea1o chuy\u00ean s\u00e2u v\u1ec1 AI v\u00e0 Khoa h\u1ecdc d\u1eef li\u1ec7u (Data Science), \u0111\u00e1p \u1ee9ng nhu c\u1ea7u nh\u00e2n l\u1ef1c ng\u00e0y c\u00e0ng t\u0103ng.<\/p>\n\n\n\n

C\u00e1c m\u00f4n h\u1ecdc n\u1ec1n t\u1ea3ng<\/h3>\n\n\n\n

\u2013 To\u00e1n cao c\u1ea5p:<\/strong> \u0110\u1ea1i s\u1ed1 tuy\u1ebfn t\u00ednh, gi\u1ea3i t\u00edch, x\u00e1c su\u1ea5t th\u1ed1ng k\u00ea l\u00e0 n\u1ec1n t\u1ea3ng \u0111\u1ec3 hi\u1ec3u c\u00e1ch ho\u1ea1t \u0111\u1ed9ng c\u1ee7a c\u00e1c thu\u1eadt to\u00e1n AI.<\/p>\n\n\n\n

\u2013 L\u1eadp tr\u00ecnh:<\/strong> Python l\u00e0 ng\u00f4n ng\u1eef ch\u1ee7 \u0111\u1ea1o trong AI nh\u1edd h\u1ec7 sinh th\u00e1i th\u01b0 vi\u1ec7n phong ph\u00fa nh\u01b0 NumPy, Pandas, Scikit-learn.<\/p>\n\n\n\n

\u2013 C\u1ea5u tr\u00fac d\u1eef li\u1ec7u v\u00e0 gi\u1ea3i thu\u1eadt:<\/strong> Ki\u1ebfn th\u1ee9c c\u1ed1t l\u00f5i \u0111\u1ec3 t\u1ed1i \u01b0u h\u00f3a hi\u1ec7u su\u1ea5t c\u1ee7a c\u00e1c m\u00f4 h\u00ecnh AI.<\/p>\n\n\n\n

\u2013 Machine Learning v\u00e0 Deep Learning:<\/strong> C\u00e1c m\u00f4n chuy\u00ean ng\u00e0nh v\u1ec1 thu\u1eadt to\u00e1n h\u1ecdc m\u00e1y, m\u1ea1ng n\u01a1-ron v\u00e0 x\u1eed l\u00fd d\u1eef li\u1ec7u l\u1edbn.<\/p>\n\n\n\n

Sinh vi\u00ean c\u00f3 th\u1ec3 theo h\u1ecdc ng\u00e0nh AI t\u1ea1i \u0110\u1ea1i h\u1ecdc B\u00e1ch khoa H\u00e0 N\u1ed9i (ch\u01b0\u01a1ng tr\u00ecnh Khoa h\u1ecdc M\u00e1y t\u00ednh), \u0110\u1ea1i h\u1ecdc FPT (ng\u00e0nh Tr\u00ed tu\u1ec7 nh\u00e2n t\u1ea1o), hay \u0110\u1ea1i h\u1ecdc Khoa h\u1ecdc T\u1ef1 nhi\u00ean TP.HCM. Ngo\u00e0i ra, c\u00e1c n\u1ec1n t\u1ea3ng tr\u1ef1c tuy\u1ebfn nh\u01b0 Coursera v\u00e0 edX c\u0169ng cung c\u1ea5p c\u00e1c kh\u00f3a h\u1ecdc ch\u1ea5t l\u01b0\u1ee3ng t\u1eeb Stanford, MIT gi\u00fap b\u1ea1n t\u1ef1 h\u1ecdc v\u00e0 n\u00e2ng cao ki\u1ebfn th\u1ee9c.<\/p>\n\n\n\n

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“Tr\u00ed tu\u1ec7 nh\u00e2n t\u1ea1o s\u1ebd l\u00e0 l\u0129nh v\u1ef1c quan tr\u1ecdng nh\u1ea5t m\u00e0 nh\u00e2n lo\u1ea1i t\u1eebng nghi\u00ean c\u1ee9u. T\u00f4i th\u1ea5y kh\u00f3 c\u00f3 th\u1ec3 ngh\u0129 ra th\u1ee9 g\u00ec c\u00f3 ti\u1ec1m n\u0103ng gi\u00fap nh\u00e2n lo\u1ea1i nhi\u1ec1u h\u01a1n.” \u2013 Sundar Pichai, CEO Google\/Alphabet.<\/p>\n<\/blockquote>\n\n\n\n

5. C\u01a1 h\u1ed9i ngh\u1ec1 nghi\u1ec7p v\u00e0 k\u1ef9 n\u0103ng c\u1ea7n c\u00f3 trong ng\u00e0nh AI<\/h2>\n\n\n\n

Th\u1ecb tr\u01b0\u1eddng tuy\u1ec3n d\u1ee5ng AI t\u1ea1i Vi\u1ec7t Nam \u0111ang ph\u00e1t tri\u1ec3n nhanh ch\u00f3ng v\u1edbi s\u1ef1 m\u1edf r\u1ed9ng c\u1ee7a c\u00e1c trung t\u00e2m R&D t\u1eeb t\u1eadp \u0111o\u00e0n c\u00f4ng ngh\u1ec7 l\u1edbn. Theo b\u00e1o c\u00e1o c\u1ee7a B\u1ed9 Th\u00f4ng tin v\u00e0 Truy\u1ec1n th\u00f4ng, Vi\u1ec7t Nam c\u1ea7n b\u1ed5 sung h\u00e0ng ch\u1ee5c ngh\u00ecn nh\u00e2n l\u1ef1c AI trong giai \u0111o\u1ea1n 2025-2030. \u0110\u00e2y l\u00e0 t\u00edn hi\u1ec7u t\u00edch c\u1ef1c cho nh\u1eefng ai \u0111ang c\u00e2n nh\u1eafc theo \u0111u\u1ed5i ng\u00e0nh artificial intelligence.<\/p>\n\n\n\n

C\u00e1c v\u1ecb tr\u00ed ph\u1ed5 bi\u1ebfn trong ng\u00e0nh AI<\/h3>\n\n\n\n

\u2013 K\u1ef9 s\u01b0 Machine Learning (Machine Learning Engineer):<\/strong> X\u00e2y d\u1ef1ng, tri\u1ec3n khai v\u00e0 t\u1ed1i \u01b0u h\u00f3a c\u00e1c m\u00f4 h\u00ecnh ML v\u00e0o s\u1ea3n ph\u1ea9m th\u1ef1c t\u1ebf, y\u00eau c\u1ea7u th\u00e0nh th\u1ea1o Python v\u00e0 c\u00e1c framework nh\u01b0 TensorFlow ho\u1eb7c PyTorch.<\/p>\n\n\n\n

\u2013 Nh\u00e0 khoa h\u1ecdc d\u1eef li\u1ec7u (Data Scientist):<\/strong> Ph\u00e2n t\u00edch d\u1eef li\u1ec7u l\u1edbn, x\u00e2y d\u1ef1ng m\u00f4 h\u00ecnh d\u1ef1 \u0111o\u00e1n v\u00e0 tr\u00ecnh b\u00e0y insight cho c\u00e1c b\u00ean li\u00ean quan trong doanh nghi\u1ec7p.<\/p>\n\n\n\n

\u2013 K\u1ef9 s\u01b0 d\u1eef li\u1ec7u (Data Engineer):<\/strong> Thi\u1ebft k\u1ebf v\u00e0 v\u1eadn h\u00e0nh h\u1ec7 th\u1ed1ng h\u1ea1 t\u1ea7ng d\u1eef li\u1ec7u, \u0111\u01b0\u1eddng \u1ed1ng d\u1eef li\u1ec7u (data pipeline) ph\u1ee5c v\u1ee5 cho c\u00e1c d\u1ef1 \u00e1n AI.<\/p>\n\n\n\n

\u2013 K\u1ef9 s\u01b0 NLP (NLP Engineer):<\/strong> Chuy\u00ean ph\u00e1t tri\u1ec3n c\u00e1c \u1ee9ng d\u1ee5ng x\u1eed l\u00fd ng\u00f4n ng\u1eef t\u1ef1 nhi\u00ean nh\u01b0 chatbot, h\u1ec7 th\u1ed1ng d\u1ecbch thu\u1eadt v\u00e0 ph\u00e2n t\u00edch v\u0103n b\u1ea3n.<\/p>\n\n\n\n

\u2013 K\u1ef9 s\u01b0 th\u1ecb gi\u00e1c m\u00e1y (Computer Vision Engineer):<\/strong> Ph\u00e1t tri\u1ec3n c\u00e1c gi\u1ea3i ph\u00e1p nh\u1eadn d\u1ea1ng h\u00ecnh \u1ea3nh v\u00e0 video cho y t\u1ebf, an ninh v\u00e0 s\u1ea3n xu\u1ea5t.<\/p>\n\n\n\n

M\u1ee9c thu nh\u1eadp trong ng\u00e0nh AI t\u1ea1i Vi\u1ec7t Nam dao \u0111\u1ed9ng t\u00f9y theo kinh nghi\u1ec7m v\u00e0 v\u1ecb tr\u00ed. Sinh vi\u00ean m\u1edbi t\u1ed1t nghi\u1ec7p c\u00f3 th\u1ec3 b\u1eaft \u0111\u1ea7u v\u1edbi m\u1ee9c kh\u1edfi \u0111i\u1ec3m t\u1eeb 12-18 tri\u1ec7u \u0111\u1ed3ng\/th\u00e1ng, trong khi c\u00e1c k\u1ef9 s\u01b0 c\u00f3 3-5 n\u0103m kinh nghi\u1ec7m th\u01b0\u1eddng nh\u1eadn m\u1ee9c t\u1eeb 30-60 tri\u1ec7u \u0111\u1ed3ng\/th\u00e1ng t\u1ea1i c\u00e1c c\u00f4ng ty c\u00f4ng ngh\u1ec7 l\u1edbn.<\/p>\n\n\n\n

K\u1ef9 n\u0103ng c\u1ea7n thi\u1ebft \u0111\u1ec3 l\u00e0m vi\u1ec7c trong ng\u00e0nh AI<\/h3>\n\n\n\n

\u2013 K\u1ef9 n\u0103ng l\u1eadp tr\u00ecnh:<\/strong> Th\u00e0nh th\u1ea1o Python l\u00e0 y\u00eau c\u1ea7u b\u1eaft bu\u1ed9c, b\u1ed5 sung th\u00eam R ho\u1eb7c SQL \u0111\u1ec3 x\u1eed l\u00fd v\u00e0 truy v\u1ea5n d\u1eef li\u1ec7u hi\u1ec7u qu\u1ea3.<\/p>\n\n\n\n

\u2013 N\u1ec1n t\u1ea3ng to\u00e1n h\u1ecdc:<\/strong> \u0110\u1ea1i s\u1ed1 tuy\u1ebfn t\u00ednh, gi\u1ea3i t\u00edch v\u00e0 x\u00e1c su\u1ea5t th\u1ed1ng k\u00ea gi\u00fap b\u1ea1n hi\u1ec3u s\u00e2u c\u00e1c thu\u1eadt to\u00e1n thay v\u00ec ch\u1ec9 s\u1eed d\u1ee5ng nh\u01b0 h\u1ed9p \u0111en.<\/p>\n\n\n\n

\u2013 T\u01b0 duy ph\u00e2n t\u00edch:<\/strong> Kh\u1ea3 n\u0103ng \u0111\u1eb7t v\u1ea5n \u0111\u1ec1 \u0111\u00fang, thi\u1ebft k\u1ebf th\u00ed nghi\u1ec7m v\u00e0 \u0111\u00e1nh gi\u00e1 k\u1ebft qu\u1ea3 m\u00f4 h\u00ecnh m\u1ed9t c\u00e1ch c\u00f3 h\u1ec7 th\u1ed1ng.<\/p>\n\n\n\n

\u2013 K\u1ef9 n\u0103ng giao ti\u1ebfp:<\/strong> Tr\u00ecnh b\u00e0y k\u1ebft qu\u1ea3 ph\u00e2n t\u00edch cho \u0111\u1ed1i t\u01b0\u1ee3ng phi k\u1ef9 thu\u1eadt l\u00e0 n\u0103ng l\u1ef1c quan tr\u1ecdng m\u00e0 nhi\u1ec1u k\u1ef9 s\u01b0 AI th\u01b0\u1eddng b\u1ecf qua.<\/p>\n\n\n\n

Ngo\u00e0i k\u1ef9 n\u0103ng chuy\u00ean m\u00f4n, vi\u1ec7c th\u01b0\u1eddng xuy\u00ean c\u1eadp nh\u1eadt ki\u1ebfn th\u1ee9c qua c\u00e1c b\u00e0i b\u00e1o khoa h\u1ecdc tr\u00ean arXiv, tham gia c\u1ed9ng \u0111\u1ed3ng Kaggle v\u00e0 \u0111\u00f3ng g\u00f3p d\u1ef1 \u00e1n m\u00e3 ngu\u1ed3n m\u1edf tr\u00ean GitHub c\u0169ng gi\u00fap b\u1ea1n x\u00e2y d\u1ef1ng portfolio \u1ea5n t\u01b0\u1ee3ng khi \u1ee9ng tuy\u1ec3n.<\/p>\n\n\n\n

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L\u1eddi khuy\u00ean cho ng\u01b0\u1eddi m\u1edbi b\u1eaft \u0111\u1ea7u:<\/strong><\/p>\n

\u2013 B\u1eaft \u0111\u1ea7u t\u1eeb Python v\u00e0 ho\u00e0n th\u00e0nh \u00edt nh\u1ea5t 2-3 d\u1ef1 \u00e1n c\u00e1 nh\u00e2n tr\u01b0\u1edbc khi \u1ee9ng tuy\u1ec3n v\u1ecb tr\u00ed junior.<\/p>\n

\u2013 Tham gia c\u00e1c cu\u1ed9c thi tr\u00ean Kaggle \u0111\u1ec3 r\u00e8n luy\u1ec7n k\u1ef9 n\u0103ng th\u1ef1c chi\u1ebfn v\u00e0 m\u1edf r\u1ed9ng m\u1ea1ng l\u01b0\u1edbi chuy\u00ean m\u00f4n.<\/p>\n

\u2013 \u0110\u1ecdc t\u00e0i li\u1ec7u ch\u00ednh th\u1ed1ng t\u1eeb Google DeepMind, OpenAI v\u00e0 c\u00e1c tr\u01b0\u1eddng \u0111\u1ea1i h\u1ecdc h\u00e0ng \u0111\u1ea7u \u0111\u1ec3 n\u1eafm b\u1eaft xu h\u01b0\u1edbng m\u1edbi nh\u1ea5t.<\/p>\n<\/div>\n\n\n\n\n

Kh\u00f4ng ch\u1ec9 ng\u01b0\u1eddi l\u00e0m ng\u00e0nh AI, m\u1ecdi ng\u00e0nh ngh\u1ec1 hi\u1ec7n nay \u0111\u1ec1u c\u1ea7n c\u1eadp nh\u1eadt k\u1ef9 n\u0103ng s\u1eed d\u1ee5ng AI trong c\u00f4ng vi\u1ec7c<\/a> \u0111\u1ec3 n\u00e2ng cao n\u0103ng su\u1ea5t v\u00e0 gi\u1eef v\u1eefng t\u00ednh c\u1ea1nh tranh tr\u00ean th\u1ecb tr\u01b0\u1eddng lao \u0111\u1ed9ng.<\/p>\n\n\n

6. Th\u1ecb tr\u01b0\u1eddng ngh\u1ec1 AI \u2013 Tr\u00ed tu\u1ec7 nh\u00e2n t\u1ea1o tr\u00ean CareerLink (2026)<\/h2>\n\n\n\n

D\u01b0\u1edbi \u0111\u00e2y l\u00e0 b\u1ee9c tranh t\u1ed5ng quan th\u1ecb tr\u01b0\u1eddng tuy\u1ec3n d\u1ee5ng v\u1ecb tr\u00ed ai \u2013 tr\u00ed tu\u1ec7 nh\u00e2n t\u1ea1o d\u1ef1a tr\u00ean d\u1eef li\u1ec7u c\u1eadp nh\u1eadt t\u1eeb CareerLink n\u0103m 2026. S\u1ed1 li\u1ec7u ph\u1ea3n \u00e1nh tin \u0111\u0103ng th\u1ef1c t\u1ebf v\u00e0 l\u00e0 tham chi\u1ebfu h\u1eefu \u00edch cho \u1ee9ng vi\u00ean \u0111\u1ecbnh h\u01b0\u1edbng ngh\u1ec1 nghi\u1ec7p.<\/p>\n\n\n\n\n\n\n
Ch\u1ec9 s\u1ed1<\/th>D\u1eef li\u1ec7u CareerLink 2026<\/th><\/tr>\n<\/thead>\n
T\u1ed5ng s\u1ed1 tin tuy\u1ec3n d\u1ee5ng \u0111ang m\u1edf<\/strong><\/td>428 tin tuy\u1ec3n d\u1ee5ng \u0111ang m\u1edf tr\u00ean CareerLink 2026<\/td><\/tr>\n
M\u1ee9c l\u01b0\u01a1ng tham chi\u1ebfu theo c\u1ea5p b\u1eadc<\/strong><\/td>Trung b\u00ecnh:<\/strong> 10 \u2013 30 tri\u1ec7u\/th\u00e1ng
Theo c\u1ea5p b\u1eadc:<\/strong>
\u2013 IT junior 15\u201325 tri\u1ec7u
\u2013 Senior 30\u201350 tri\u1ec7u
\u2013 Lead\/Architect 50\u201380 tri\u1ec7u\/th\u00e1ng (network\/security)<\/td><\/tr>\n
Top v\u1ecb tr\u00ed c\u1ee5 th\u1ec3 \u0111\u01b0\u1ee3c tuy\u1ec3n nhi\u1ec1u<\/strong><\/td>\u0110a d\u1ea1ng v\u1ecb tr\u00ed t\u1eeb junior \u0111\u1ebfn senior \u2014 xem tin \u0111\u0103ng c\u1ee5 th\u1ec3 trong chuy\u00ean m\u1ee5c t\u01b0\u01a1ng \u1ee9ng<\/td><\/tr>\n
Khu v\u1ef1c tuy\u1ec3n d\u1ee5ng t\u1eadp trung<\/strong><\/td>TP.HCM, H\u00e0 N\u1ed9i, \u0110\u00e0 N\u1eb5ng<\/td><\/tr>\n
Doanh nghi\u1ec7p \u0111\u0103ng tuy\u1ec3n ti\u00eau bi\u1ec3u<\/strong><\/td>\u0110a d\u1ea1ng doanh nghi\u1ec7p FDI v\u00e0 n\u1ed9i \u0111\u1ecba<\/td><\/tr>\n
K\u1ef9 n\u0103ng v\u00e0 ch\u1ee9ng ch\u1ec9 \u0111\u01b0\u1ee3c \u01b0u ti\u00ean<\/strong><\/td>\u2013 Cisco CCNA\/CCNP cho m\u1ea1ng
\u2013 Cloud AWS\/GCP\/Azure
\u2013 B\u1ea3o m\u1eadt ISO 27001 \/ NIST
\u2013 Linux administration
\u2013 Python automation script<\/td><\/tr>\n
Xu h\u01b0\u1edbng tuy\u1ec3n d\u1ee5ng 2026<\/strong><\/td>Cybersecurity v\u00e0 Network Security \u0111ang l\u00e0 nh\u00f3m c\u00f3 c\u1ea7u l\u1edbn nh\u1ea5t ng\u00e0nh CNTT. Ch\u1ee9ng ch\u1ec9 CEH\/CCNA\/CCNP t\u0103ng l\u01b0\u01a1ng 25\u201335%.<\/td><\/tr>\n<\/tbody>\n<\/table>\n\n\n\n
\n

G\u1ee3i \u00fd t\u1eeb d\u1eef li\u1ec7u CareerLink 2026<\/strong><\/p>\n

\u2013 \u1ee8ng vi\u00ean n\u00ean \u0111\u1ed1i chi\u1ebfu k\u1ef9 n\u0103ng v\u00e0 ch\u1ee9ng ch\u1ec9 c\u00e1 nh\u00e2n v\u1edbi y\u00eau c\u1ea7u th\u1ef1c t\u1ebf trong tin \u0111\u0103ng m\u1edbi nh\u1ea5t t\u1ea1i chuy\u00ean m\u1ee5c t\u01b0\u01a1ng \u1ee9ng.<\/p>\n

\u2013 M\u1ee9c l\u01b0\u01a1ng tr\u00ean l\u00e0 d\u1ea3i tham chi\u1ebfu \u2014 thu nh\u1eadp th\u1ef1c t\u1ebf ph\u1ee5 thu\u1ed9c quy m\u00f4 doanh nghi\u1ec7p, v\u1ecb tr\u00ed \u0111\u1ecba l\u00fd v\u00e0 kinh nghi\u1ec7m c\u1ee5 th\u1ec3.<\/p>\n

\u2013 \u0110\u1ea7u t\u01b0 ch\u1ee9ng ch\u1ec9 chuy\u00ean ng\u00e0nh v\u00e0 ngo\u1ea1i ng\u1eef l\u00e0 c\u00e1ch hi\u1ec7u qu\u1ea3 nh\u1ea5t \u0111\u1ec3 v\u01b0\u1ee3t l\u00ean trung v\u1ecb l\u01b0\u01a1ng.<\/p>\n<\/div>\n\n\n

7. C\u00e2u h\u1ecfi th\u01b0\u1eddng g\u1eb7p v\u1ec1 ng\u00e0nh Tr\u00ed tu\u1ec7 nh\u00e2n t\u1ea1o<\/h2>\n\n\n\n

1. H\u1ecdc ng\u00e0nh AI c\u00f3 c\u1ea7n gi\u1ecfi to\u00e1n kh\u00f4ng?<\/em><\/strong><\/p>\n\n\n\n

N\u1ec1n t\u1ea3ng to\u00e1n h\u1ecdc l\u00e0 y\u00eau c\u1ea7u quan tr\u1ecdng khi theo \u0111u\u1ed5i ng\u00e0nh tr\u00ed tu\u1ec7 nh\u00e2n t\u1ea1o, \u0111\u1eb7c bi\u1ec7t l\u00e0 \u0111\u1ea1i s\u1ed1 tuy\u1ebfn t\u00ednh, x\u00e1c su\u1ea5t th\u1ed1ng k\u00ea v\u00e0 gi\u1ea3i t\u00edch. Tuy nhi\u00ean, b\u1ea1n kh\u00f4ng c\u1ea7n ph\u1ea3i l\u00e0 “thi\u00ean t\u00e0i to\u00e1n” m\u00e0 ch\u1ec9 c\u1ea7n n\u1eafm v\u1eefng c\u00e1c kh\u00e1i ni\u1ec7m c\u1ed1t l\u00f5i \u0111\u1ec3 hi\u1ec3u c\u00e1ch thu\u1eadt to\u00e1n ho\u1ea1t \u0111\u1ed9ng. Nhi\u1ec1u c\u00f4ng c\u1ee5 v\u00e0 framework hi\u1ec7n \u0111\u1ea1i nh\u01b0 TensorFlow, PyTorch \u0111\u00e3 \u0111\u01a1n gi\u1ea3n h\u00f3a ph\u1ea7n t\u00ednh to\u00e1n, gi\u00fap b\u1ea1n t\u1eadp trung v\u00e0o \u1ee9ng d\u1ee5ng th\u1ef1c t\u1ebf.<\/p>\n\n\n\n

2. Ng\u00e0nh AI ra tr\u01b0\u1eddng l\u00e0m vi\u1ec7c \u1edf \u0111\u00e2u?<\/em><\/strong><\/p>\n\n\n\n

Sinh vi\u00ean t\u1ed1t nghi\u1ec7p ng\u00e0nh AI c\u00f3 th\u1ec3 l\u00e0m vi\u1ec7c t\u1ea1i c\u00e1c c\u00f4ng ty c\u00f4ng ngh\u1ec7 l\u1edbn nh\u01b0 FPT Software, VinAI Research, Samsung R&D Vietnam, hay c\u00e1c startup AI trong n\u01b0\u1edbc. Ngo\u00e0i ra, c\u00e1c t\u1eadp \u0111o\u00e0n \u0111a qu\u1ed1c gia c\u00f3 v\u0103n ph\u00f2ng t\u1ea1i Vi\u1ec7t Nam nh\u01b0 Bosch, Intel v\u00e0 c\u00e1c c\u00f4ng ty t\u00e0i ch\u00ednh, ng\u00e2n h\u00e0ng c\u0169ng tuy\u1ec3n d\u1ee5ng nhi\u1ec1u k\u1ef9 s\u01b0 AI. C\u01a1 h\u1ed9i l\u00e0m vi\u1ec7c t\u1eeb xa (remote) cho c\u00e1c c\u00f4ng ty n\u01b0\u1edbc ngo\u00e0i c\u0169ng r\u1ea5t ph\u1ed5 bi\u1ebfn trong l\u0129nh v\u1ef1c n\u00e0y.<\/p>\n\n\n\n

3. N\u00ean b\u1eaft \u0111\u1ea7u h\u1ecdc AI t\u1eeb \u0111\u00e2u n\u1ebfu ch\u01b0a c\u00f3 ki\u1ebfn th\u1ee9c n\u1ec1n?<\/em><\/strong><\/p>\n\n\n\n

B\u01b0\u1edbc \u0111\u1ea7u ti\u00ean l\u00e0 h\u1ecdc l\u1eadp tr\u00ecnh Python qua c\u00e1c kh\u00f3a mi\u1ec5n ph\u00ed tr\u00ean Codecademy ho\u1eb7c freeCodeCamp, sau \u0111\u00f3 ti\u1ebfn \u0111\u1ebfn c\u00e1c kh\u00f3a Machine Learning tr\u00ean Coursera c\u1ee7a Andrew Ng (Stanford). Song song \u0111\u00f3, b\u1ea1n n\u00ean \u00f4n l\u1ea1i to\u00e1n \u0111\u1ea1i s\u1ed1 tuy\u1ebfn t\u00ednh v\u00e0 x\u00e1c su\u1ea5t th\u1ed1ng k\u00ea. Sau khi n\u1eafm v\u1eefng n\u1ec1n t\u1ea3ng, h\u00e3y th\u1ef1c h\u00e0nh qua c\u00e1c d\u1ef1 \u00e1n nh\u1ecf tr\u00ean Kaggle v\u00e0 d\u1ea7n chuy\u1ec3n sang c\u00e1c b\u00e0i to\u00e1n ph\u1ee9c t\u1ea1p h\u01a1n.<\/p>\n\n\n\n

Qua b\u00e0i vi\u1ebft tr\u00ean, b\u1ea1n \u0111\u00e3 c\u00f3 c\u00e1i nh\u00ecn to\u00e0n di\u1ec7n v\u1ec1 AI l\u00e0 g\u00ec t\u00ecm hi\u1ec3u v\u1ec1 ng\u00e0nh tr\u00ed tu\u1ec7 nh\u00e2n t\u1ea1o<\/strong> c\u00f9ng nh\u1eefng c\u01a1 h\u1ed9i m\u00e0 l\u0129nh v\u1ef1c n\u00e0y mang l\u1ea1i. V\u1edbi s\u1ef1 ph\u00e1t tri\u1ec3n kh\u00f4ng ng\u1eebng c\u1ee7a c\u00f4ng ngh\u1ec7 v\u00e0 nhu c\u1ea7u nh\u00e2n l\u1ef1c AI ng\u00e0y c\u00e0ng t\u0103ng t\u1ea1i Vi\u1ec7t Nam, \u0111\u00e2y l\u00e0 th\u1eddi \u0111i\u1ec3m th\u00edch h\u1ee3p \u0111\u1ec3 b\u1ea1n b\u1eaft \u0111\u1ea7u x\u00e2y d\u1ef1ng n\u1ec1n t\u1ea3ng ki\u1ebfn th\u1ee9c v\u00e0 k\u1ef9 n\u0103ng c\u1ea7n thi\u1ebft. H\u00e3y ki\u00ean tr\u00ec h\u1ecdc t\u1eadp, th\u1ef1c h\u00e0nh th\u01b0\u1eddng xuy\u00ean v\u00e0 ch\u1ee7 \u0111\u1ed9ng tham gia c\u00e1c d\u1ef1 \u00e1n th\u1ef1c t\u1ebf \u0111\u1ec3 s\u1eb5n s\u00e0ng n\u1eafm b\u1eaft c\u01a1 h\u1ed9i trong ng\u00e0nh artificial intelligence.<\/p>\n\n\n\n

Minh An<\/strong><\/p>\n\n\n\n

B\u00e0i vi\u1ebft mang t\u00ednh ch\u1ea5t tham kh\u1ea3o. Th\u00f4ng tin ch\u01b0\u01a1ng tr\u00ecnh \u0111\u00e0o t\u1ea1o, m\u1ee9c thu nh\u1eadp v\u00e0 c\u01a1 h\u1ed9i vi\u1ec7c l\u00e0m c\u00f3 th\u1ec3 thay \u0111\u1ed5i theo th\u1eddi gian. Ng\u01b0\u1eddi \u0111\u1ecdc n\u00ean li\u00ean h\u1ec7 tr\u1ef1c ti\u1ebfp v\u1edbi c\u00e1c tr\u01b0\u1eddng \u0111\u1ea1i h\u1ecdc v\u00e0 nh\u00e0 tuy\u1ec3n d\u1ee5ng \u0111\u1ec3 c\u1eadp nh\u1eadt th\u00f4ng tin m\u1edbi nh\u1ea5t.<\/em><\/p>","protected":false},"excerpt":{"rendered":"

AI l\u00e0 g\u00ec? T\u00ecm hi\u1ec3u v\u1ec1 ng\u00e0nh tr\u00ed tu\u1ec7 nh\u00e2n t\u1ea1o, c\u00e1c nh\u00e1nh ch\u00ednh nh\u01b0 Machine Learning, Deep Learning, \u1ee9ng d\u1ee5ng th\u1ef1c t\u1ebf v\u00e0 c\u01a1 h\u1ed9i vi\u1ec7c l\u00e0m h\u1ea5p d\u1eabn trong l\u0129nh v\u1ef1c AI.<\/p>\n","protected":false},"author":58,"featured_media":16196,"comment_status":"open","ping_status":"open","sticky":false,"template":"","format":"standard","meta":{"footnotes":""},"categories":[17],"tags":[98],"class_list":["post-16150","post","type-post","status-publish","format-standard","has-post-thumbnail","hentry","category-tu-van-nghe-nghiep","tag-kien-thuc-nganh"],"_links":{"self":[{"href":"https:\/\/www.careerlink.vn\/cam-nang-viec-lam\/wp-json\/wp\/v2\/posts\/16150","targetHints":{"allow":["GET"]}}],"collection":[{"href":"https:\/\/www.careerlink.vn\/cam-nang-viec-lam\/wp-json\/wp\/v2\/posts"}],"about":[{"href":"https:\/\/www.careerlink.vn\/cam-nang-viec-lam\/wp-json\/wp\/v2\/types\/post"}],"author":[{"embeddable":true,"href":"https:\/\/www.careerlink.vn\/cam-nang-viec-lam\/wp-json\/wp\/v2\/users\/58"}],"replies":[{"embeddable":true,"href":"https:\/\/www.careerlink.vn\/cam-nang-viec-lam\/wp-json\/wp\/v2\/comments?post=16150"}],"version-history":[{"count":17,"href":"https:\/\/www.careerlink.vn\/cam-nang-viec-lam\/wp-json\/wp\/v2\/posts\/16150\/revisions"}],"predecessor-version":[{"id":26162,"href":"https:\/\/www.careerlink.vn\/cam-nang-viec-lam\/wp-json\/wp\/v2\/posts\/16150\/revisions\/26162"}],"wp:featuredmedia":[{"embeddable":true,"href":"https:\/\/www.careerlink.vn\/cam-nang-viec-lam\/wp-json\/wp\/v2\/media\/16196"}],"wp:attachment":[{"href":"https:\/\/www.careerlink.vn\/cam-nang-viec-lam\/wp-json\/wp\/v2\/media?parent=16150"}],"wp:term":[{"taxonomy":"category","embeddable":true,"href":"https:\/\/www.careerlink.vn\/cam-nang-viec-lam\/wp-json\/wp\/v2\/categories?post=16150"},{"taxonomy":"post_tag","embeddable":true,"href":"https:\/\/www.careerlink.vn\/cam-nang-viec-lam\/wp-json\/wp\/v2\/tags?post=16150"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}