{"id":4018,"date":"2025-05-13T08:51:36","date_gmt":"2025-05-13T05:51:36","guid":{"rendered":"https:\/\/www.dztecs.com\/ai\/?p=4018"},"modified":"2025-05-13T08:51:36","modified_gmt":"2025-05-13T05:51:36","slug":"top-10-courses-related-to-artificial-intelligence-and-machine-learning","status":"publish","type":"post","link":"https:\/\/www.dztecs.com\/ai\/top-10-courses-related-to-artificial-intelligence-and-machine-learning\/","title":{"rendered":"\u0623\u0641\u0636\u0644 10 \u062f\u0648\u0631\u0627\u062a \u0645\u064f\u062a\u0639\u0644\u0642\u0629 \u0628\u0627\u0644\u0630\u0643\u0627\u0621 \u0627\u0644\u0627\u0635\u0637\u0646\u0627\u0639\u064a \u0648\u062a\u0639\u0644\u0645 \u0627\u0644\u0622\u0644\u0629","gt_translate_keys":[{"key":"rendered","format":"text"}]},"content":{"rendered":"
\u0641\u064a \u0647\u0630\u0647 \u0627\u0644\u0645\u0642\u0627\u0644\u0629\u060c \u0633\u0646\u0639\u0631\u0636 \u0644\u0643 \u0623\u0641\u0636\u0644 10 \u062f\u0648\u0631\u0627\u062a \u062a\u062f\u0631\u064a\u0628\u064a\u0629 \u0641\u064a \u0627\u0644\u0645\u062c\u0627\u0644\u0627\u062a \u0627\u0644\u062a\u0627\u0644\u064a\u0629:<\/p>\n
\u0633\u062a\u0623\u062e\u0630\u0643 \u0647\u0630\u0647 \u0627\u0644\u062f\u0648\u0631\u0627\u062a \u0627\u0644\u062a\u062f\u0631\u064a\u0628\u064a\u0629 \u0639\u0628\u0631 \u0623\u0633\u0627\u0633\u064a\u0627\u062a \u0627\u0644\u0630\u0643\u0627\u0621 \u0627\u0644\u0627\u0635\u0637\u0646\u0627\u0639\u064a \u0648\u0627\u0644\u062a\u0639\u0644\u0645 \u0627\u0644\u0622\u0644\u064a\u060c \u0645\u0645\u0627 \u064a\u0645\u0646\u062d\u0643 \u0641\u0647\u0645\u064b\u0627 \u0634\u0627\u0645\u0644\u0627\u064b \u0644\u0647\u0630\u0647 \u0627\u0644\u0645\u062c\u0627\u0644\u0627\u062a \u0627\u0644\u062a\u0643\u0646\u0648\u0644\u0648\u062c\u064a\u0629 \u0627\u0644\u0647\u0627\u0645\u0629.<\/p>\n
<\/p>\n
\u0633\u0646\u0633\u062a\u0639\u0631\u0636 \u062f\u0648\u0631\u0627\u062a \u062a\u062f\u0631\u064a\u0628\u064a\u0629 \u0645\u0646 \u0645\u0624\u0633\u0633\u0627\u062a \u062a\u0639\u0644\u064a\u0645\u064a\u0629 \u0631\u0633\u0645\u064a\u0629 \u0645\u0639\u062a\u0645\u062f\u0629.<\/strong><\/p><\/blockquote>\n
\u0641\u064a Guides.ai<\/a>\u060c \u0646\u0647\u062f\u0641 \u0625\u0644\u0649 \u062a\u0642\u062f\u064a\u0645 \u0623\u0641\u0636\u0644 \u0627\u0644\u062f\u0631\u0648\u0633 \u0627\u0644\u062a\u0639\u0644\u064a\u0645\u064a\u0629 \u0641\u064a \u0627\u0644\u0639\u0627\u0644\u0645 \u062d\u0648\u0644 \u0643\u064a\u0641\u064a\u0629 \u0627\u0633\u062a\u062e\u062f\u0627\u0645 \u0627\u0644\u0630\u0643\u0627\u0621 \u0627\u0644\u0627\u0635\u0637\u0646\u0627\u0639\u064a (AI) \u0648\u0627\u0644\u062a\u0639\u0644\u0645 \u0627\u0644\u0622\u0644\u064a (ML).<\/p>\n
\n
- \u0648\u0644\u0643\u0646\u060c \u0642\u062f \u062a\u0628\u062d\u062b \u0639\u0646 \u062f\u0648\u0631\u0629 \u062a\u062f\u0631\u064a\u0628\u064a\u0629 \u062e\u0637\u0648\u0629 \u0628\u062e\u0637\u0648\u0629.<\/li>\n
- \u0644\u0647\u0630\u0627 \u0627\u0644\u0633\u0628\u0628 \u062a\u062d\u062f\u064a\u062f\u064b\u0627\u060c \u0642\u0645\u0646\u0627 \u0628\u0625\u0639\u062f\u0627\u062f \u0647\u0630\u0647 \u0627\u0644\u0642\u0627\u0626\u0645\u0629.<\/li>\n<\/ul>\n
\u062f\u0639\u0646\u0627 \u0646\u0644\u0642\u064a \u0646\u0638\u0631\u0629 \u0639\u0644\u064a\u0647\u0627.<\/p>\n
<\/p>\n
\u0642\u0627\u0626\u0645\u0629:<\/strong> \u0623\u0641\u0636\u0644 10 \u062f\u0648\u0631\u0627\u062a \u062a\u062f\u0631\u064a\u0628\u064a\u0629 \u0641\u064a \u0645\u062c\u0627\u0644 \u0627\u0644\u0630\u0643\u0627\u0621 \u0627\u0644\u0627\u0635\u0637\u0646\u0627\u0639\u064a \u0648\u062a\u0639\u0644\u0645 \u0627\u0644\u0622\u0644\u0629<\/h2>\n
1. \u062f\u0648\u0631\u0629 \u0633\u062a\u0627\u0646\u0641\u0648\u0631\u062f \u0644\u0644\u062a\u0639\u0644\u0645 \u0627\u0644\u0622\u0644\u064a \u2013 \u0623\u0646\u062f\u0631\u0648 \u0646\u062c<\/h3>\n
\u0627\u0644\u0645\u0632\u0627\u064a\u0627<\/strong><\/p>\n
\n
- \u0645\u062d\u062a\u0648\u0649 \u0639\u0627\u0644\u064a \u0627\u0644\u062c\u0648\u062f\u0629 \u0645\u0646 \u062c\u0627\u0645\u0639\u0629 \u0633\u062a\u0627\u0646\u0641\u0648\u0631\u062f.<\/li>\n
- \u064a\u0642\u062f\u0645\u0647\u0627 \u0631\u0627\u0626\u062f \u0627\u0644\u0630\u0643\u0627\u0621 \u0627\u0644\u0627\u0635\u0637\u0646\u0627\u0639\u064a Andrew Ng.<\/li>\n
- \u0645\u0632\u064a\u062c \u0645\u0645\u062a\u0627\u0632 \u0645\u0646 \u0627\u0644\u0646\u0638\u0631\u064a\u0629 \u0648\u0627\u0644\u062a\u0645\u0627\u0631\u064a\u0646 \u0627\u0644\u0639\u0645\u0644\u064a\u0629 \u0641\u064a \u0645\u062c\u0627\u0644 \u0627\u0644\u062a\u0639\u0644\u0645 \u0627\u0644\u0622\u0644\u064a.<\/li>\n<\/ul>\n
\u0627\u0644\u0639\u064a\u0648\u0628<\/strong><\/p>\n
\n
- \u0642\u062f\u064a\u0645\u0629 \u0628\u0639\u0636 \u0627\u0644\u0634\u064a\u0621 \u0645\u0646 \u062d\u064a\u062b \u0627\u0644\u062a\u0642\u0646\u064a\u0627\u062a \u0627\u0644\u062d\u0627\u0644\u064a\u0629.<\/li>\n
- \u062a\u0631\u0643\u0632 \u0628\u0634\u0643\u0644 \u0643\u0628\u064a\u0631 \u0639\u0644\u0649 \u0627\u0644\u0631\u064a\u0627\u0636\u064a\u0627\u062a\u061b \u0642\u062f \u064a\u0643\u0648\u0646 \u0630\u0644\u0643 \u0645\u062e\u064a\u0641\u064b\u0627 \u0644\u0644\u0645\u0628\u062a\u062f\u0626\u064a\u0646 \u0641\u064a \u0645\u062c\u0627\u0644 Machine Learning.<\/li>\n<\/ul>\n
\u0627\u0644\u062a\u0633\u0639\u064a\u0631<\/strong><\/p>\n
\n
- \u0645\u062c\u0627\u0646\u064a\u0629 \u0644\u0644\u0645\u0631\u0627\u062c\u0639\u0629\u060c \u0634\u0647\u0627\u062f\u0629 \u0645\u0642\u0627\u0628\u0644 \u0631\u0633\u0648\u0645.<\/li>\n<\/ul>\n
\u0627\u0644\u0645\u064a\u0632\u0627\u062a<\/strong><\/p>\n
\n
- \u0645\u062d\u0627\u0636\u0631\u0627\u062a \u0627\u0644\u0641\u064a\u062f\u064a\u0648<\/li>\n
- \u0627\u0644\u0627\u062e\u062a\u0628\u0627\u0631\u0627\u062a \u0627\u0644\u0642\u0635\u064a\u0631\u0629<\/li>\n
- \u0627\u0644\u0645\u0647\u0627\u0645 \u0627\u0644\u062a\u064a \u064a\u062a\u0645 \u062a\u0642\u064a\u064a\u0645\u0647\u0627 \u0645\u0646 \u0642\u0628\u0644 \u0627\u0644\u0632\u0645\u0644\u0627\u0621<\/li>\n<\/ul>\n
\u0627\u0644\u0648\u0635\u0648\u0644 \u0639\u0628\u0631 \u0627\u0644\u0625\u0646\u062a\u0631\u0646\u062a:<\/strong> \u062f\u0648\u0631\u0629 \u0627\u0644\u062a\u0639\u0644\u0651\u0645 \u0627\u0644\u0622\u0644\u064a \u0645\u0646 \u0633\u062a\u0627\u0646\u0641\u0648\u0631\u062f (Stanford\u2019s Machine Learning)<\/a><\/em><\/p><\/blockquote>\n
<\/p>\n
2. \u062f\u0648\u0631\u0627\u062a Fast.ai<\/h3>\n
\u0627\u0644\u0645\u0632\u0627\u064a\u0627<\/strong><\/p>\n
\n
- \u0627\u0644\u062a\u0631\u0643\u064a\u0632 \u0639\u0644\u0649 \u0627\u0644\u062a\u0637\u0628\u064a\u0642\u0627\u062a \u0627\u0644\u0639\u0645\u0644\u064a\u0629 \u0641\u064a \u0645\u062c\u0627\u0644 \u0627\u0644\u0630\u0643\u0627\u0621 \u0627\u0644\u0627\u0635\u0637\u0646\u0627\u0639\u064a.<\/li>\n
- \u062f\u0639\u0645 \u0645\u062c\u062a\u0645\u0639\u064a \u0642\u0648\u064a.<\/li>\n
- \u062a\u0642\u0646\u064a\u0627\u062a \u0645\u062a\u0637\u0648\u0631\u0629 \u0641\u064a \u062a\u0639\u0644\u0645 \u0627\u0644\u0622\u0644\u0629.<\/li>\n<\/ul>\n
\u0627\u0644\u0639\u064a\u0648\u0628<\/strong><\/p>\n
\n
- \u062a\u0631\u0643\u064a\u0632 \u0623\u0642\u0644 \u0639\u0644\u0649 \u0627\u0644\u0646\u0638\u0631\u064a\u0627\u062a \u0627\u0644\u0623\u0633\u0627\u0633\u064a\u0629.<\/li>\n
- \u0627\u0644\u062d\u0627\u062c\u0629 \u0625\u0644\u0649 \u062e\u0628\u0631\u0629 \u0633\u0627\u0628\u0642\u0629 \u0641\u064a \u0627\u0644\u0628\u0631\u0645\u062c\u0629.<\/li>\n<\/ul>\n
\u0627\u0644\u062a\u0633\u0639\u064a\u0631<\/strong><\/p>\n
\n
- \u0645\u062c\u0627\u0646\u064a\u0629.<\/li>\n<\/ul>\n
\u0627\u0644\u0645\u064a\u0632\u0627\u062a<\/strong><\/p>\n
\n
- \u062f\u0641\u0627\u062a\u0631 \u062a\u0641\u0627\u0639\u0644\u064a\u0629 (Interactive notebooks).<\/li>\n
- \u0645\u062d\u0627\u0636\u0631\u0627\u062a \u0641\u064a\u062f\u064a\u0648.<\/li>\n
- \u0645\u0646\u062a\u062f\u064a\u0627\u062a \u0645\u062c\u062a\u0645\u0639\u064a\u0629.<\/li>\n<\/ul>\n
<\/p>\n
\u0627\u0644\u0648\u0635\u0648\u0644 \u0639\u0628\u0631 \u0627\u0644\u0625\u0646\u062a\u0631\u0646\u062a:<\/strong> \u062f\u0648\u0631\u0627\u062a Fast.ai<\/a><\/em><\/p><\/blockquote>\n
<\/p>\n
3. \u0645\u0642\u062f\u0645\u0629 \u0641\u064a \u0627\u0644\u0630\u0643\u0627\u0621 \u0627\u0644\u0627\u0635\u0637\u0646\u0627\u0639\u064a \u0628\u0627\u0633\u062a\u062e\u062f\u0627\u0645 Python \u2013 \u062f\u0648\u0631\u0629 Harvard CS50<\/h3>\n
\u0627\u0644\u0645\u0632\u0627\u064a\u0627<\/strong><\/p>\n
\n
- \u062a\u063a\u0637\u064a\u0629 \u0634\u0627\u0645\u0644\u0629 \u0644\u0645\u0641\u0627\u0647\u064a\u0645 \u0627\u0644\u0630\u0643\u0627\u0621 \u0627\u0644\u0627\u0635\u0637\u0646\u0627\u0639\u064a.<\/li>\n
- \u062a\u0648\u0627\u0632\u0646 \u062c\u064a\u062f \u0628\u064a\u0646 \u0627\u0644\u062c\u0627\u0646\u0628 \u0627\u0644\u0646\u0638\u0631\u064a \u0648\u0627\u0644\u062a\u0637\u0628\u064a\u0642\u064a \u0641\u064a \u0639\u0644\u0645 \u0627\u0644\u0630\u0643\u0627\u0621 \u0627\u0644\u0627\u0635\u0637\u0646\u0627\u0639\u064a.<\/li>\n
- \u0645\u0648\u0627\u062f \u062f\u0631\u0627\u0633\u064a\u0629 \u0639\u0627\u0644\u064a\u0629 \u0627\u0644\u062c\u0648\u062f\u0629 \u0641\u064a \u0645\u062c\u0627\u0644 \u0627\u0644\u0630\u0643\u0627\u0621 \u0627\u0644\u0627\u0635\u0637\u0646\u0627\u0639\u064a.<\/li>\n<\/ul>\n
\u0627\u0644\u0639\u064a\u0648\u0628<\/strong><\/p>\n
\n
- \u0642\u062f \u062a\u0643\u0648\u0646 \u0645\u0643\u062b\u0641\u0629 \u0644\u0644\u0645\u0628\u062a\u062f\u0626\u064a\u0646 \u062a\u0645\u0627\u0645\u064b\u0627 \u0641\u064a \u0645\u062c\u0627\u0644 \u0627\u0644\u0630\u0643\u0627\u0621 \u0627\u0644\u0627\u0635\u0637\u0646\u0627\u0639\u064a \u0648 Python.<\/li>\n
- \u062a\u0633\u062a\u063a\u0631\u0642 \u0648\u0642\u062a\u064b\u0627 \u0637\u0648\u064a\u0644\u0627\u064b.<\/li>\n<\/ul>\n
\u0627\u0644\u062a\u0633\u0639\u064a\u0631<\/strong><\/p>\n
\n
- \u0645\u0631\u0627\u062c\u0639\u0629 \u0645\u062c\u0627\u0646\u064a\u0629\u060c \u0634\u0647\u0627\u062f\u0629 \u0628\u0631\u0633\u0648\u0645.<\/li>\n<\/ul>\n
\u0627\u0644\u0645\u064a\u0632\u0627\u062a<\/strong><\/p>\n
\n
- \u0645\u062c\u0645\u0648\u0639\u0627\u062a \u0645\u0633\u0627\u0626\u0644<\/li>\n
- \u0645\u0634\u0631\u0648\u0639 \u0646\u0647\u0627\u0626\u064a<\/li>\n
- \u0645\u0644\u0627\u062d\u0638\u0627\u062a \u0627\u0644\u0645\u062d\u0627\u0636\u0631\u0627\u062a<\/li>\n<\/ul>\n
<\/p>\n
\u0627\u0644\u0648\u0635\u0648\u0644 \u0639\u0628\u0631 \u0627\u0644\u0625\u0646\u062a\u0631\u0646\u062a:<\/strong> \u062f\u0648\u0631\u0629 \u0627\u0644\u0630\u0643\u0627\u0621 \u0627\u0644\u0627\u0635\u0637\u0646\u0627\u0639\u064a \u0648 Python \u0645\u0646 \u062c\u0627\u0645\u0639\u0629 \u0647\u0627\u0631\u0641\u0627\u0631\u062f<\/a><\/em><\/p><\/blockquote>\n
<\/p>\n
4. \u0645\u0642\u062f\u0645\u0629 \u0641\u064a \u0627\u0644\u062a\u0639\u0644\u0645 \u0627\u0644\u0639\u0645\u064a\u0642 \u2013 \u0645\u0639\u0647\u062f \u0645\u0627\u0633\u0627\u062a\u0634\u0648\u0633\u062a\u0633 \u0644\u0644\u062a\u0643\u0646\u0648\u0644\u0648\u062c\u064a\u0627 (MIT)<\/h3>\n
\u0627\u0644\u0645\u0632\u0627\u064a\u0627<\/strong><\/p>\n
\n
- \u062a\u0631\u0643\u0632 \u0639\u0644\u0649 \u0627\u0644\u0634\u0628\u0643\u0627\u062a \u0627\u0644\u0639\u0635\u0628\u064a\u0629 (Neural Networks) \u0628\u0634\u0643\u0644 \u0623\u0633\u0627\u0633\u064a.<\/li>\n
- \u0645\u062d\u0627\u0636\u0631\u0627\u062a \u0645\u062a\u0639\u0645\u0642\u0629 \u0641\u064a \u0645\u062c\u0627\u0644 \u0627\u0644\u062a\u0639\u0644\u0645 \u0627\u0644\u0639\u0645\u064a\u0642.<\/li>\n
- \u064a\u062a\u0645 \u062a\u062f\u0631\u064a\u0633\u0647\u0627 \u0645\u0646 \u0642\u0628\u0644 \u0623\u0639\u0636\u0627\u0621 \u0647\u064a\u0626\u0629 \u0627\u0644\u062a\u062f\u0631\u064a\u0633 \u0641\u064a \u0645\u0639\u0647\u062f MIT.<\/li>\n<\/ul>\n
\u0627\u0644\u0639\u064a\u0648\u0628<\/strong><\/p>\n
\n
- \u062a\u062a\u0637\u0644\u0628 \u0645\u0639\u0631\u0641\u0629 \u0623\u0633\u0627\u0633\u064a\u0629 \u0642\u0648\u064a\u0629 \u0641\u064a \u0627\u0644\u0631\u064a\u0627\u0636\u064a\u0627\u062a \u0648\u0639\u0644\u0648\u0645 \u0627\u0644\u062d\u0627\u0633\u0648\u0628.<\/li>\n
- \u064a\u0632\u062f\u0627\u062f \u0627\u0644\u062a\u0639\u0642\u064a\u062f \u0641\u064a\u0647\u0627 \u0628\u0633\u0631\u0639\u0629.<\/li>\n<\/ul>\n
\u0627\u0644\u062a\u0633\u0639\u064a\u0631<\/strong><\/p>\n
\n
- \u0645\u062a\u0627\u062d\u0629 \u0645\u062c\u0627\u0646\u064b\u0627 \u0644\u0644\u0645\u0631\u0627\u062c\u0639\u0629 (audit).<\/li>\n<\/ul>\n
\u0627\u0644\u0645\u064a\u0632\u0627\u062a<\/strong><\/p>\n
\n
- \u0645\u0634\u0627\u0631\u064a\u0639 \u0639\u0645\u0644\u064a\u0629 \u0644\u062a\u0637\u0628\u064a\u0642 \u0645\u0641\u0627\u0647\u064a\u0645 \u0627\u0644\u062a\u0639\u0644\u0645 \u0627\u0644\u0639\u0645\u064a\u0642.<\/li>\n
- \u0645\u062d\u0627\u0636\u0631\u0627\u062a \u0641\u064a\u062f\u064a\u0648 \u0634\u0627\u0645\u0644\u0629.<\/li>\n
- \u0627\u062e\u062a\u0628\u0627\u0631\u0627\u062a \u0644\u062a\u0642\u064a\u064a\u0645 \u0627\u0644\u0641\u0647\u0645.<\/li>\n<\/ul>\n
<\/p>\n
\u0627\u0644\u0648\u0635\u0648\u0644 \u0639\u0628\u0631 \u0627\u0644\u0625\u0646\u062a\u0631\u0646\u062a:<\/strong> \u0645\u0642\u062f\u0645\u0629 \u0645\u0639\u0647\u062f \u0645\u0627\u0633\u0627\u062a\u0634\u0648\u0633\u062a\u0633 \u0644\u0644\u062a\u0643\u0646\u0648\u0644\u0648\u062c\u064a\u0627 \u0641\u064a \u0627\u0644\u062a\u0639\u0644\u0645 \u0627\u0644\u0639\u0645\u064a\u0642 (MIT)<\/a><\/em><\/p><\/blockquote>\n
<\/p>\n
5. \u062f\u0648\u0631\u0629 \u0645\u0643\u062b\u0641\u0629 \u0641\u064a \u062a\u0639\u0644\u0645 \u0627\u0644\u0622\u0644\u0629 \u2013 Google<\/h3>\n
\u0627\u0644\u0645\u0632\u0627\u064a\u0627<\/strong><\/p>\n
\n
- \u0645\u0646\u0627\u0633\u0628\u0629 \u0644\u0644\u0645\u0628\u062a\u062f\u0626\u064a\u0646 \u0641\u064a \u062a\u0639\u0644\u0645 \u0627\u0644\u0622\u0644\u0629.<\/li>\n
- \u062a\u0648\u062c\u0647 \u0646\u062d\u0648 \u0627\u0644\u0623\u0639\u0645\u0627\u0644.<\/li>\n
- \u062a\u062a\u0636\u0645\u0646 \u062f\u0631\u0648\u0633\u064b\u0627 \u062a\u0639\u0644\u064a\u0645\u064a\u0629 \u062d\u0648\u0644 TensorFlow.<\/li>\n<\/ul>\n
\u0627\u0644\u0639\u064a\u0648\u0628<\/strong><\/p>\n
\n
- \u0642\u062f \u062a\u0641\u062a\u0642\u0631 \u0625\u0644\u0649 \u0627\u0644\u0639\u0645\u0642 \u0644\u0644\u0645\u062a\u0639\u0644\u0645\u064a\u0646 \u0627\u0644\u0623\u0643\u062b\u0631 \u062e\u0628\u0631\u0629 \u0641\u064a \u0645\u062c\u0627\u0644 \u062a\u0639\u0644\u0645 \u0627\u0644\u0622\u0644\u0629.<\/li>\n
- \u062a\u0631\u0643\u0632 \u0628\u0634\u0643\u0644 \u0623\u0643\u0628\u0631 \u0639\u0644\u0649 \u0623\u062f\u0648\u0627\u062a Google.<\/li>\n<\/ul>\n
\u0627\u0644\u062a\u0633\u0639\u064a\u0631<\/strong><\/p>\n
\n
- \u0645\u062c\u0627\u0646\u064a\u0629.<\/li>\n<\/ul>\n
\u0627\u0644\u0645\u064a\u0632\u0627\u062a<\/strong><\/p>\n
\n
- \u062a\u0645\u0627\u0631\u064a\u0646 \u062a\u0641\u0627\u0639\u0644\u064a\u0629<\/li>\n
- \u0645\u062d\u0627\u0636\u0631\u0627\u062a \u0641\u064a\u062f\u064a\u0648<\/li>\n
- \u0627\u062e\u062a\u0628\u0627\u0631\u0627\u062a \u0645\u062a\u0639\u062f\u062f\u0629 \u0627\u0644\u062e\u064a\u0627\u0631\u0627\u062a<\/li>\n<\/ul>\n
<\/p>\n
\u0627\u0644\u0648\u0635\u0648\u0644 \u0639\u0628\u0631 \u0627\u0644\u0625\u0646\u062a\u0631\u0646\u062a:<\/strong> \u062f\u0648\u0631\u0629 \u0645\u0643\u062b\u0641\u0629 \u0641\u064a \u062a\u0639\u0644\u0645 \u0627\u0644\u0622\u0644\u0629 \u0645\u0646 Google<\/a><\/em><\/p><\/blockquote>\n
<\/p>\n
6. \u0628\u0631\u0646\u0627\u0645\u062c Nanodegree \u0645\u0647\u0646\u062f\u0633 \u062a\u0639\u0644\u0645 \u0627\u0644\u0622\u0644\u0629 \u2013 Udacity<\/h3>\n
\u0627\u0644\u0645\u0632\u0627\u064a\u0627<\/strong><\/p>\n
\n
- \u064a\u0631\u0643\u0632 \u0639\u0644\u0649 \u0627\u0644\u0648\u0638\u0627\u0626\u0641 \u0628\u0634\u0643\u0644 \u0623\u0633\u0627\u0633\u064a.<\/li>\n
- \u0645\u0634\u0627\u0631\u064a\u0639 \u0648\u0627\u0642\u0639\u064a\u0629.<\/li>\n
- \u062f\u0639\u0645 \u0645\u0646 \u0645\u0631\u0634\u062f \u0645\u062a\u062e\u0635\u0635.<\/li>\n<\/ul>\n
\u0627\u0644\u0639\u064a\u0648\u0628<\/strong><\/p>\n
\n
- \u062a\u0643\u0644\u0641\u0629 \u0639\u0627\u0644\u064a\u0629.<\/li>\n
- \u064a\u062a\u0637\u0644\u0628 \u0627\u0644\u062a\u0632\u0627\u0645\u064b\u0627 \u0632\u0645\u0646\u064a\u064b\u0627.<\/li>\n<\/ul>\n
\u0627\u0644\u062a\u0633\u0639\u064a\u0631<\/strong><\/p>\n
\n
- \u0628\u0631\u0646\u0627\u0645\u062c \u0645\u062f\u0641\u0648\u0639.<\/li>\n<\/ul>\n
\u0627\u0644\u0645\u064a\u0632\u0627\u062a<\/strong><\/p>\n
\n
- \u0645\u0631\u0627\u062c\u0639\u0629 \u0627\u0644\u0645\u0634\u0627\u0631\u064a\u0639 \u0645\u0646 \u0642\u0628\u0644 \u062e\u0628\u0631\u0627\u0621 \u0627\u0644\u0635\u0646\u0627\u0639\u0629<\/li>\n
- \u062e\u062f\u0645\u0627\u062a \u0645\u0647\u0646\u064a\u0629<\/li>\n
- \u062f\u0639\u0645 \u0641\u0646\u064a \u0645\u0646 \u0645\u0631\u0634\u062f<\/li>\n<\/ul>\n
<\/p>\n
\u0627\u0644\u0648\u0635\u0648\u0644 \u0639\u0628\u0631 \u0627\u0644\u0625\u0646\u062a\u0631\u0646\u062a:<\/strong> \u0628\u0631\u0646\u0627\u0645\u062c \u0634\u0647\u0627\u062f\u0629 \u0645\u0647\u0646\u062f\u0633 \u062a\u0639\u0644\u0645 \u0627\u0644\u0622\u0644\u0629 \u0627\u0644\u0646\u0627\u0646\u0648\u064a\u0629 (Machine Learning Engineer Nanodegree)<\/a><\/em><\/p><\/blockquote>\n
<\/p>\n
7. \u062f\u0648\u0631\u0629 \u0627\u0644\u062a\u062e\u0635\u0635 \u0641\u064a \u0627\u0644\u062a\u0639\u0644\u0645 \u0627\u0644\u0639\u0645\u064a\u0642 \u2013 \u0623\u0646\u062f\u0631\u0648 \u0646\u062c\u060c Coursera (Deep Learning Specialization \u2013 Andrew Ng, Coursera)<\/h3>\n
\u0627\u0644\u0645\u0632\u0627\u064a\u0627<\/strong><\/p>\n
\n
- \u062a\u063a\u0637\u064a\u0629 \u0645\u0648\u0636\u0648\u0639\u0627\u062a \u0645\u062a\u0642\u062f\u0645\u0629 \u0641\u064a \u0645\u062c\u0627\u0644 \u0627\u0644\u062a\u0639\u0644\u0645 \u0627\u0644\u0639\u0645\u064a\u0642.<\/li>\n
- \u062a\u0639\u0645\u0642 \u0641\u064a \u0627\u0644\u0634\u0628\u0643\u0627\u062a \u0627\u0644\u0639\u0635\u0628\u064a\u0629 (Neural Networks) \u0648\u062a\u0637\u0628\u064a\u0642\u0627\u062a\u0647\u0627.<\/li>\n
- \u0646\u0635\u0627\u0626\u062d \u0639\u0645\u0644\u064a\u0629 \u0644\u062a\u0646\u0638\u064a\u0645 \u0648\u0625\u062f\u0627\u0631\u0629 \u0645\u0634\u0627\u0631\u064a\u0639 \u062a\u0639\u0644\u0645 \u0627\u0644\u0622\u0644\u0629.<\/li>\n<\/ul>\n
\u0627\u0644\u0639\u064a\u0648\u0628<\/strong><\/p>\n
\n
- \u062a\u062a\u0637\u0644\u0628 \u0645\u0639\u0631\u0641\u0629 \u0645\u0633\u0628\u0642\u0629 \u0628\u0645\u0641\u0627\u0647\u064a\u0645 \u062a\u0639\u0644\u0645 \u0627\u0644\u0622\u0644\u0629 (ML).<\/li>\n
- \u062a\u0643\u0627\u0644\u064a\u0641 \u0644\u0644\u062d\u0635\u0648\u0644 \u0639\u0644\u0649 \u0627\u0644\u0634\u0647\u0627\u062f\u0629 \u0627\u0644\u0645\u0639\u062a\u0645\u062f\u0629.<\/li>\n<\/ul>\n
\u0627\u0644\u062a\u0633\u0639\u064a\u0631<\/strong><\/p>\n
\n
- \u0627\u0644\u0648\u0635\u0648\u0644 \u0645\u062c\u0627\u0646\u064a \u0644\u0644\u0645\u0631\u0627\u062c\u0639\u0629\u060c \u0648\u0644\u0643\u0646 \u0627\u0644\u062d\u0635\u0648\u0644 \u0639\u0644\u0649 \u0627\u0644\u0634\u0647\u0627\u062f\u0629 \u064a\u062a\u0637\u0644\u0628 \u062f\u0641\u0639 \u0631\u0633\u0648\u0645.<\/li>\n<\/ul>\n
\u0627\u0644\u0645\u064a\u0632\u0627\u062a<\/strong><\/p>\n
\n
- \u0627\u062e\u062a\u0628\u0627\u0631\u0627\u062a \u0645\u062a\u062e\u0635\u0635\u0629 \u0644\u062a\u0642\u064a\u064a\u0645 \u0627\u0644\u0641\u0647\u0645.<\/li>\n
- \u0645\u0634\u0627\u0631\u064a\u0639 \u062a\u062a\u0648\u064a\u062c\u064a\u0629 (Capstone projects) \u0644\u062a\u0637\u0628\u064a\u0642 \u0627\u0644\u0645\u0639\u0631\u0641\u0629.<\/li>\n
- \u0645\u0633\u0627\u0631\u0627\u062a \u062a\u0639\u0644\u0645 \u0645\u0646\u0638\u0645\u0629 \u0644\u062a\u062d\u0642\u064a\u0642 \u0623\u0647\u062f\u0627\u0641 \u0645\u062d\u062f\u062f\u0629 \u0641\u064a \u0627\u0644\u062a\u0639\u0644\u0645 \u0627\u0644\u0639\u0645\u064a\u0642.<\/li>\n<\/ul>\n
<\/p>\n
\u0627\u0644\u0648\u0635\u0648\u0644 \u0639\u0628\u0631 \u0627\u0644\u0625\u0646\u062a\u0631\u0646\u062a:<\/strong> \u062a\u062e\u0635\u0635 \u0627\u0644\u062a\u0639\u0644\u0645 \u0627\u0644\u0639\u0645\u064a\u0642 \u2013 \u0639\u0628\u0631 Coursera<\/a><\/em><\/p><\/blockquote>\n
8. \u0645\u0633\u0627\u0631 \u062a\u0639\u0644\u0645 \u0627\u0644\u0622\u0644\u0629 \u0628\u0627\u0633\u062a\u062e\u062f\u0627\u0645 Python \u2013 DataCamp<\/h3>\n
\u0627\u0644\u0645\u0632\u0627\u064a\u0627<\/strong><\/p>\n
\n
- \u0627\u0644\u062a\u0631\u0643\u064a\u0632 \u0639\u0644\u0649 \u0645\u0639\u0627\u0644\u062c\u0629 \u0627\u0644\u0628\u064a\u0627\u0646\u0627\u062a.<\/li>\n
- \u0627\u0644\u062a\u0639\u0644\u0645 \u0627\u0644\u0642\u0627\u0626\u0645 \u0639\u0644\u0649 \u0627\u0644\u0645\u0634\u0627\u0631\u064a\u0639.<\/li>\n
- \u062a\u0645\u0627\u0631\u064a\u0646 \u062a\u0631\u0645\u064a\u0632 \u062a\u0641\u0627\u0639\u0644\u064a\u0629.<\/li>\n<\/ul>\n
\u0627\u0644\u0639\u064a\u0648\u0628<\/strong><\/p>\n
\n
- \u0623\u0633\u0627\u0633 \u0646\u0638\u0631\u064a \u0623\u0642\u0644.<\/li>\n
- \u0627\u0634\u062a\u0631\u0627\u0643 \u0645\u0637\u0644\u0648\u0628 \u0644\u0644\u0648\u0635\u0648\u0644 \u0627\u0644\u0643\u0627\u0645\u0644.<\/li>\n<\/ul>\n
\u0627\u0644\u062a\u0633\u0639\u064a\u0631<\/strong><\/p>\n
\n
- \u0627\u0634\u062a\u0631\u0627\u0643 \u0645\u062f\u0641\u0648\u0639.<\/li>\n<\/ul>\n
\u0627\u0644\u0645\u064a\u0632\u0627\u062a<\/strong><\/p>\n
\n
- \u0645\u0633\u0627\u0631\u0627\u062a \u0627\u0644\u0645\u0647\u0627\u0631\u0627\u062a \u0648\u0627\u0644\u0645\u0633\u0627\u0631\u0627\u062a \u0627\u0644\u0645\u0647\u0646\u064a\u0629<\/li>\n
- \u0645\u0634\u0627\u0631\u064a\u0639 \u0639\u0645\u0644\u064a\u0629<\/li>\n
- \u0645\u0644\u0627\u062d\u0638\u0627\u062a \u0641\u0648\u0631\u064a\u0629<\/li>\n<\/ul>\n
\u0627\u0644\u0648\u0635\u0648\u0644 \u0639\u0628\u0631 \u0627\u0644\u0625\u0646\u062a\u0631\u0646\u062a:<\/strong> \u0645\u0633\u0627\u0631 \u062a\u0639\u0644\u0645 Machine Learning & Python<\/a><\/em><\/p><\/blockquote>\n
<\/p>\n
9. \u0634\u0647\u0627\u062f\u0629 \u0627\u062d\u062a\u0631\u0627\u0641\u064a\u0629 \u0641\u064a \u062a\u0639\u0644\u0645 \u0627\u0644\u0622\u0644\u0629 \u2013 edX IBM<\/h3>\n
\u0627\u0644\u0645\u0632\u0627\u064a\u0627<\/strong><\/p>\n
\n
- \u0645\u0646\u0638\u0648\u0631 \u0627\u062d\u062a\u0631\u0627\u0641\u064a \u0641\u064a \u0645\u062c\u0627\u0644 \u0627\u0644\u0635\u0646\u0627\u0639\u0629.<\/li>\n
- \u064a\u063a\u0637\u064a \u0639\u0644\u0648\u0645 \u0627\u0644\u0628\u064a\u0627\u0646\u0627\u062a\u060c \u062a\u0639\u0644\u0645 \u0627\u0644\u0622\u0644\u0629 (ML)\u060c \u0648\u0633\u064a\u0631 \u0639\u0645\u0644 \u0627\u0644\u0630\u0643\u0627\u0621 \u0627\u0644\u0627\u0635\u0637\u0646\u0627\u0639\u064a (AI).<\/li>\n
- \u0634\u0647\u0627\u062f\u0629 \u0645\u0646 IBM.<\/li>\n<\/ul>\n
\u0627\u0644\u0639\u064a\u0648\u0628<\/strong><\/p>\n
\n
- \u062a\u0643\u0627\u0644\u064a\u0641 \u0627\u0644\u062d\u0635\u0648\u0644 \u0639\u0644\u0649 \u0627\u0644\u0634\u0647\u0627\u062f\u0629.<\/li>\n
- \u064a\u0641\u062a\u0642\u0631 \u0625\u0644\u0649 \u0627\u0644\u0645\u0634\u0627\u0631\u064a\u0639 \u0627\u0644\u0639\u0645\u0644\u064a\u0629 \u0645\u0642\u0627\u0631\u0646\u0629 \u0628\u063a\u064a\u0631\u0647 \u0645\u0646 \u0627\u0644\u0628\u0631\u0627\u0645\u062c.<\/li>\n<\/ul>\n
\u0627\u0644\u062a\u0633\u0639\u064a\u0631<\/strong><\/p>\n
\n
- \u0627\u0644\u0648\u0635\u0648\u0644 \u0645\u062c\u0627\u0646\u064a \u0644\u0644\u0645\u0631\u0627\u062c\u0639\u0629\u060c \u0648\u0644\u0643\u0646 \u064a\u0644\u0632\u0645 \u062f\u0641\u0639 \u0631\u0633\u0648\u0645 \u0644\u0644\u062d\u0635\u0648\u0644 \u0639\u0644\u0649 \u0627\u0644\u0634\u0647\u0627\u062f\u0629.<\/li>\n<\/ul>\n
\u0627\u0644\u0645\u064a\u0632\u0627\u062a<\/strong><\/p>\n
\n
- \u0627\u0644\u062a\u0639\u0644\u0645 \u0627\u0644\u0630\u0627\u062a\u064a<\/li>\n
- \u0634\u0647\u0627\u062f\u0629 \u0627\u062d\u062a\u0631\u0627\u0641\u064a\u0629<\/li>\n
- \u062a\u0642\u064a\u064a\u0645\u0627\u062a \u0646\u0647\u0627\u0626\u064a\u0629<\/li>\n<\/ul>\n
<\/p>\n
\u0627\u0644\u0648\u0635\u0648\u0644 \u0639\u0628\u0631 \u0627\u0644\u0625\u0646\u062a\u0631\u0646\u062a:<\/strong> \u0634\u0647\u0627\u062f\u0629 \u0627\u062d\u062a\u0631\u0627\u0641\u064a\u0629 \u0641\u064a \u0627\u0644\u062a\u0639\u0644\u0651\u0645 \u0627\u0644\u0639\u0645\u064a\u0642 \u2013 edX IBM<\/a><\/em><\/p><\/blockquote>\n
<\/p>\n
10. \u062f\u0648\u0631\u0629 Python & R \u0627\u0644\u0639\u0645\u0644\u064a\u0629 \u0641\u064a \u0639\u0644\u0645 \u0627\u0644\u0628\u064a\u0627\u0646\u0627\u062a \u2013 Udemy<\/h3>\n
\u0627\u0644\u0645\u0632\u0627\u064a\u0627<\/strong><\/p>\n
\n
- \u062a\u063a\u0637\u064a\u0629 \u0648\u0627\u0633\u0639\u0629 \u0644\u0645\u062c\u0645\u0648\u0639\u0629 \u0645\u062a\u0646\u0648\u0639\u0629 \u0645\u0646 \u0627\u0644\u0645\u0648\u0636\u0648\u0639\u0627\u062a \u0641\u064a \u0639\u0644\u0645 \u0627\u0644\u0628\u064a\u0627\u0646\u0627\u062a.<\/li>\n
- \u062a\u0637\u0628\u064a\u0642 \u0639\u0645\u0644\u064a \u0645\u0643\u062b\u0641 \u0639\u0644\u0649 \u0643\u062a\u0627\u0628\u0629 \u0627\u0644\u062a\u0639\u0644\u064a\u0645\u0627\u062a \u0627\u0644\u0628\u0631\u0645\u062c\u064a\u0629 \u0628\u0627\u0633\u062a\u062e\u062f\u0627\u0645 Python \u0648 R.<\/li>\n
- \u0625\u0645\u0643\u0627\u0646\u064a\u0629 \u0627\u0644\u0648\u0635\u0648\u0644 \u0625\u0644\u0649 \u0627\u0644\u062f\u0648\u0631\u0629 \u0645\u062f\u0649 \u0627\u0644\u062d\u064a\u0627\u0629 \u0628\u0645\u062c\u0631\u062f \u0634\u0631\u0627\u0626\u0647\u0627.<\/li>\n<\/ul>\n
\u0627\u0644\u0639\u064a\u0648\u0628<\/strong><\/p>\n
\n
- \u062a\u0641\u0627\u0648\u062a \u0627\u0644\u062c\u0648\u062f\u0629 \u0628\u064a\u0646 \u0627\u0644\u0645\u0648\u0636\u0648\u0639\u0627\u062a \u0627\u0644\u0645\u062e\u062a\u0644\u0641\u0629.<\/li>\n
- \u0644\u0627 \u064a\u0648\u062c\u062f \u0634\u0647\u0627\u062f\u0629 \u0631\u0633\u0645\u064a\u0629 \u0645\u0639\u062a\u0645\u062f\u0629 \u0628\u0639\u062f \u0627\u0644\u0627\u0646\u062a\u0647\u0627\u0621 \u0645\u0646 \u0627\u0644\u062f\u0648\u0631\u0629.<\/li>\n<\/ul>\n
\u0627\u0644\u062a\u0633\u0639\u064a\u0631<\/strong><\/p>\n
\n
- \u062f\u0641\u0639\u0629 \u0644\u0645\u0631\u0629 \u0648\u0627\u062d\u062f\u0629.<\/li>\n<\/ul>\n
\u0627\u0644\u0645\u064a\u0632\u0627\u062a<\/strong><\/p>\n
\n
- \u0645\u0648\u0627\u0631\u062f \u0642\u0627\u0628\u0644\u0629 \u0644\u0644\u062a\u0646\u0632\u064a\u0644.<\/li>\n
- \u0641\u064a\u062f\u064a\u0648\u0647\u0627\u062a \u062d\u0633\u0628 \u0627\u0644\u0637\u0644\u0628.<\/li>\n
- \u0642\u0633\u0645 \u0644\u0644\u0623\u0633\u0626\u0644\u0629 \u0648\u0627\u0644\u0623\u062c\u0648\u0628\u0629.<\/li>\n<\/ul>\n
<\/p>\n