{"id":112045,"date":"2025-07-24T14:38:26","date_gmt":"2025-07-24T14:38:26","guid":{"rendered":"https:\/\/express24.ir\/d\/product\/%d8%af%d8%a7%d9%86%d9%84%d9%88%d8%af-%d8%af%d9%88%d8%b1%d9%87-%d8%af%d8%a7%d9%86%d9%84%d9%88%d8%af-%da%af%d9%88%d8%a7%d9%87%db%8c%d9%86%d8%a7%d9%85%d9%87-%d8%ad%d8%b1%d9%81%d9%87%d8%a7%db%8c-13\/"},"modified":"2025-07-24T14:38:29","modified_gmt":"2025-07-24T14:38:29","slug":"%d8%af%d8%a7%d9%86%d9%84%d9%88%d8%af-%d8%af%d9%88%d8%b1%d9%87-%d8%af%d8%a7%d9%86%d9%84%d9%88%d8%af-%da%af%d9%88%d8%a7%d9%87%db%8c%d9%86%d8%a7%d9%85%d9%87-%d8%ad%d8%b1%d9%81%d9%87%d8%a7%db%8c-13","status":"publish","type":"product","link":"https:\/\/express24.ir\/d\/product\/%d8%af%d8%a7%d9%86%d9%84%d9%88%d8%af-%d8%af%d9%88%d8%b1%d9%87-%d8%af%d8%a7%d9%86%d9%84%d9%88%d8%af-%da%af%d9%88%d8%a7%d9%87%db%8c%d9%86%d8%a7%d9%85%d9%87-%d8%ad%d8%b1%d9%81%d9%87%d8%a7%db%8c-13\/","title":{"rendered":"\u062f\u0627\u0646\u0644\u0648\u062f \u062f\u0648\u0631\u0647 \u062f\u0627\u0646\u0644\u0648\u062f \u06af\u0648\u0627\u0647\u06cc\u0646\u0627\u0645\u0647 \u062d\u0631\u0641\u0647\u200c\u0627\u06cc \u0647\u0648\u0634 \u0645\u0635\u0646\u0648\u0639\u06cc \u06a9\u0627\u0631\u0628\u0631\u062f\u06cc IBM \u0627\u0632 Coursera 2024-1"},"content":{"rendered":"\n\n\n\n\n\n
\u0646\u0627\u0645 \u0645\u062d\u0635\u0648\u0644 \u0628\u0647 \u0627\u0646\u06af\u0644\u06cc\u0633\u06cc<\/th>\n\u062f\u0627\u0646\u0644\u0648\u062f Coursera – IBM Applied AI Professional Certificate 2024-1 – \u062f\u0627\u0646\u0644\u0648\u062f \u0631\u0627\u06cc\u06af\u0627\u0646 \u0646\u0631\u0645 \u0627\u0641\u0632\u0627\u0631<\/td>\n<\/tr>\n
\u0646\u0627\u0645 \u0645\u062d\u0635\u0648\u0644 \u0628\u0647 \u0641\u0627\u0631\u0633\u06cc<\/th>\n\u062f\u0627\u0646\u0644\u0648\u062f \u062f\u0648\u0631\u0647 \u062f\u0627\u0646\u0644\u0648\u062f \u06af\u0648\u0627\u0647\u06cc\u0646\u0627\u0645\u0647 \u062d\u0631\u0641\u0647\u200c\u0627\u06cc \u0647\u0648\u0634 \u0645\u0635\u0646\u0648\u0639\u06cc \u06a9\u0627\u0631\u0628\u0631\u062f\u06cc IBM \u0627\u0632 Coursera 2024-1<\/td>\n<\/tr>\n
\u0632\u0628\u0627\u0646<\/th>\n\u0627\u0646\u06af\u0644\u06cc\u0633\u06cc \u0628\u0627 \u0632\u06cc\u0631\u0646\u0648\u06cc\u0633 \u0641\u0627\u0631\u0633\u06cc<\/td>\n<\/tr>\n
\u0646\u0648\u0639 \u0645\u062d\u0635\u0648\u0644<\/th>\n\u0622\u0645\u0648\u0632\u0634 \u0648\u06cc\u062f\u06cc\u0648\u06cc\u06cc<\/td>\n<\/tr>\n
\u0646\u062d\u0648\u0647 \u062a\u062d\u0648\u06cc\u0644<\/th>\n\u0628\u0647 \u0635\u0648\u0631\u062a \u062f\u0627\u0646\u0644\u0648\u062f\u06cc<\/td>\n<\/tr>\n<\/table>\n
\r\n \u062a\u0648\u062c\u0647 \u0645\u0647\u0645:<\/strong>\r\n

\r\n \u0627\u06cc\u0646 \u062f\u0648\u0631\u0647 \u0622\u0645\u0648\u0632\u0634\u06cc \u062f\u0627\u0646\u0644\u0648\u062f\u06cc<\/span> \u0628\u0648\u062f\u0647 \u0648 \u0647\u0645\u0631\u0627\u0647 \u0628\u0627 \u0632\u06cc\u0631\u0646\u0648\u06cc\u0633 \u0641\u0627\u0631\u0633\u06cc<\/span> \u0627\u0631\u0627\u0626\u0647 \u0645\u06cc\u200c\u06af\u0631\u062f\u062f.\r\n <\/p>\r\n

\r\n \u062d\u062f\u0627\u06a9\u062b\u0631 \u062a\u0627 \u06f2\u06f4 \u0633\u0627\u0639\u062a \u067e\u0633 \u0627\u0632 \u0633\u0641\u0627\u0631\u0634<\/strong>\u060c \u0644\u06cc\u0646\u06a9 \u0627\u062e\u062a\u0635\u0627\u0635\u06cc \u062f\u0648\u0631\u0647 \u0628\u0631\u0627\u06cc \u0634\u0645\u0627 \u0633\u0627\u062e\u062a\u0647 \u0648 \u062c\u0647\u062a \u062f\u0627\u0646\u0644\u0648\u062f \u0627\u0631\u0633\u0627\u0644 \u062e\u0648\u0627\u0647\u062f \u0634\u062f.\r\n <\/p>\r\n

\r\n \u062c\u0647\u062a \u067e\u06cc\u06af\u06cc\u0631\u06cc \u0633\u0641\u0627\u0631\u0634\u060c \u0645\u06cc\u200c\u062a\u0648\u0627\u0646\u06cc\u062f \u0627\u0632 \u0637\u0631\u06cc\u0642 \u0648\u0627\u062a\u0633\u200c\u0627\u067e \u0628\u0627 \u0634\u0645\u0627\u0631\u0647 09395106248<\/strong> \u06cc\u0627 \u0622\u06cc\u062f\u06cc \u062a\u0644\u06af\u0631\u0627\u0645\u06cc @ma_limbs<\/strong> \u062f\u0631 \u062a\u0645\u0627\u0633 \u0628\u0627\u0634\u06cc\u062f.\r\n <\/p>\r\n<\/div>\r\n\r\n\n

\n

\u062f\u0627\u0646\u0644\u0648\u062f \u06af\u0648\u0627\u0647\u06cc\u0646\u0627\u0645\u0647 \u062d\u0631\u0641\u0647\u200c\u0627\u06cc \u0647\u0648\u0634 \u0645\u0635\u0646\u0648\u0639\u06cc \u06a9\u0627\u0631\u0628\u0631\u062f\u06cc IBM \u0627\u0632 Coursera 2024-1<\/h1>\n

\u062f\u0631 \u062f\u0646\u06cc\u0627\u06cc \u0627\u0645\u0631\u0648\u0632 \u06a9\u0647 \u0647\u0648\u0634 \u0645\u0635\u0646\u0648\u0639\u06cc (AI) \u0628\u0647 \u0633\u0631\u0639\u062a \u062f\u0631 \u062d\u0627\u0644 \u0645\u062a\u062d\u0648\u0644 \u06a9\u0631\u062f\u0646 \u0635\u0646\u0627\u06cc\u0639 \u0645\u062e\u062a\u0644\u0641 \u0627\u0633\u062a\u060c \u062f\u0627\u0634\u062a\u0646 \u0645\u0647\u0627\u0631\u062a\u200c\u0647\u0627\u06cc \u06a9\u0627\u0631\u0628\u0631\u062f\u06cc \u062f\u0631 \u0627\u06cc\u0646 \u0632\u0645\u06cc\u0646\u0647 \u062f\u06cc\u06af\u0631 \u06cc\u06a9 \u0645\u0632\u06cc\u062a \u0646\u06cc\u0633\u062a\u060c \u0628\u0644\u06a9\u0647 \u06cc\u06a9 \u0636\u0631\u0648\u0631\u062a \u0645\u062d\u0633\u0648\u0628 \u0645\u06cc\u200c\u0634\u0648\u062f. \u0634\u0631\u06a9\u062a\u200c\u0647\u0627 \u0648 \u0633\u0627\u0632\u0645\u0627\u0646\u200c\u0647\u0627 \u0628\u0647 \u062f\u0646\u0628\u0627\u0644 \u0645\u062a\u062e\u0635\u0635\u0627\u0646\u06cc \u0647\u0633\u062a\u0646\u062f \u06a9\u0647 \u0646\u0647 \u062a\u0646\u0647\u0627 \u0628\u0627 \u0645\u0641\u0627\u0647\u06cc\u0645 \u0647\u0648\u0634 \u0645\u0635\u0646\u0648\u0639\u06cc \u0622\u0634\u0646\u0627\u06cc\u06cc \u062f\u0627\u0634\u062a\u0647 \u0628\u0627\u0634\u0646\u062f\u060c \u0628\u0644\u06a9\u0647 \u0628\u062a\u0648\u0627\u0646\u0646\u062f \u0627\u06cc\u0646 \u0645\u0641\u0627\u0647\u06cc\u0645 \u0631\u0627 \u062f\u0631 \u0633\u0646\u0627\u0631\u06cc\u0648\u0647\u0627\u06cc \u0648\u0627\u0642\u0639\u06cc \u0628\u0647 \u06a9\u0627\u0631 \u06af\u06cc\u0631\u0646\u062f \u0648 \u0631\u0627\u0647\u200c\u062d\u0644\u200c\u0647\u0627\u06cc \u0639\u0645\u0644\u06cc \u0627\u0631\u0627\u0626\u0647 \u062f\u0647\u0646\u062f. \u06af\u0648\u0627\u0647\u06cc\u0646\u0627\u0645\u0647 \u062d\u0631\u0641\u0647\u200c\u0627\u06cc \u0647\u0648\u0634 \u0645\u0635\u0646\u0648\u0639\u06cc \u06a9\u0627\u0631\u0628\u0631\u062f\u06cc IBM \u0627\u0632 Coursera\u060c \u06cc\u06a9 \u0628\u0631\u0646\u0627\u0645\u0647 \u062c\u0627\u0645\u0639 \u0648 \u0628\u0647\u200c\u0631\u0648\u0632 \u0627\u0633\u062a \u06a9\u0647 \u0628\u0647 \u0645\u0646\u0638\u0648\u0631 \u062a\u062c\u0647\u06cc\u0632 \u0627\u0641\u0631\u0627\u062f \u0628\u0647 \u062f\u0627\u0646\u0634 \u0648 \u0645\u0647\u0627\u0631\u062a\u200c\u0647\u0627\u06cc \u0639\u0645\u0644\u06cc \u0645\u0648\u0631\u062f \u0646\u06cc\u0627\u0632 \u0628\u0631\u0627\u06cc \u0645\u0648\u0641\u0642\u06cc\u062a \u062f\u0631 \u062d\u0648\u0632\u0647 \u0631\u0648 \u0628\u0647 \u0631\u0634\u062f \u0647\u0648\u0634 \u0645\u0635\u0646\u0648\u0639\u06cc \u0637\u0631\u0627\u062d\u06cc \u0634\u062f\u0647 \u0627\u0633\u062a. \u0627\u06cc\u0646 \u0628\u0631\u0646\u0627\u0645\u0647 \u062a\u0648\u0633\u0637 \u0645\u062a\u062e\u0635\u0635\u0627\u0646 IBM\u060c \u06cc\u06a9\u06cc \u0627\u0632 \u067e\u06cc\u0634\u06af\u0627\u0645\u0627\u0646 \u062c\u0647\u0627\u0646\u06cc \u062f\u0631 \u062d\u0648\u0632\u0647 \u0641\u0646\u0627\u0648\u0631\u06cc \u0648 \u0647\u0648\u0634 \u0645\u0635\u0646\u0648\u0639\u06cc\u060c \u062a\u0648\u0633\u0639\u0647 \u06cc\u0627\u0641\u062a\u0647 \u0648 \u0628\u0627 \u062a\u0645\u0631\u06a9\u0632 \u0628\u0631 \u06a9\u0627\u0631\u0628\u0631\u062f\u0647\u0627\u06cc \u0648\u0627\u0642\u0639\u06cc \u0648 \u0627\u0628\u0632\u0627\u0631\u0647\u0627\u06cc \u0635\u0646\u0639\u062a\u06cc\u060c \u0634\u0645\u0627 \u0631\u0627 \u0628\u0631\u0627\u06cc \u0648\u0631\u0648\u062f \u0628\u0647 \u0628\u0627\u0632\u0627\u0631 \u06a9\u0627\u0631 \u0648 \u0627\u06cc\u0641\u0627\u06cc \u0646\u0642\u0634\u200c\u0647\u0627\u06cc \u06a9\u0644\u06cc\u062f\u06cc \u062f\u0631 \u067e\u0631\u0648\u0698\u0647\u200c\u0647\u0627\u06cc \u0647\u0648\u0634 \u0645\u0635\u0646\u0648\u0639\u06cc \u0622\u0645\u0627\u062f\u0647 \u0645\u06cc\u200c\u06a9\u0646\u062f.<\/p>\n

\n

\u0645\u0647\u0627\u0631\u062a\u200c\u0647\u0627\u06cc \u06a9\u0644\u06cc\u062f\u06cc \u06a9\u0647 \u062f\u0631 \u0627\u06cc\u0646 \u06af\u0648\u0627\u0647\u06cc\u0646\u0627\u0645\u0647 \u062e\u0648\u0627\u0647\u06cc\u062f \u0622\u0645\u0648\u062e\u062a<\/h2>\n

\u0627\u06cc\u0646 \u06af\u0648\u0627\u0647\u06cc\u0646\u0627\u0645\u0647 \u0645\u062c\u0645\u0648\u0639\u0647\u200c\u0627\u06cc \u0627\u0632 \u0645\u0647\u0627\u0631\u062a\u200c\u0647\u0627\u06cc \u06a9\u0644\u06cc\u062f\u06cc \u0648 \u06a9\u0627\u0631\u0628\u0631\u062f\u06cc \u0631\u0627 \u0628\u0647 \u0634\u0645\u0627 \u0622\u0645\u0648\u0632\u0634 \u0645\u06cc\u200c\u062f\u0647\u062f \u06a9\u0647 \u0627\u0632 \u0645\u0641\u0627\u0647\u06cc\u0645 \u067e\u0627\u06cc\u0647 \u062a\u0627 \u06a9\u0627\u0631\u0628\u0631\u062f\u0647\u0627\u06cc \u067e\u06cc\u0634\u0631\u0641\u062a\u0647 \u0647\u0648\u0634 \u0645\u0635\u0646\u0648\u0639\u06cc \u0631\u0627 \u0634\u0627\u0645\u0644 \u0645\u06cc\u200c\u0634\u0648\u062f. \u0634\u0645\u0627 \u0628\u0627 \u0645\u0628\u0627\u0646\u06cc \u0647\u0648\u0634 \u0645\u0635\u0646\u0648\u0639\u06cc\u060c \u06cc\u0627\u062f\u06af\u06cc\u0631\u06cc \u0645\u0627\u0634\u06cc\u0646 (Machine Learning) \u0648 \u06cc\u0627\u062f\u06af\u06cc\u0631\u06cc \u0639\u0645\u06cc\u0642 (Deep Learning)<\/span> \u0628\u0647 \u0635\u0648\u0631\u062a \u062c\u0627\u0645\u0639 \u0622\u0634\u0646\u0627 \u062e\u0648\u0627\u0647\u06cc\u062f \u0634\u062f \u0648 \u062f\u0631\u06a9 \u0639\u0645\u06cc\u0642\u06cc \u0627\u0632 \u0646\u062d\u0648\u0647 \u0639\u0645\u0644\u06a9\u0631\u062f \u0622\u0646\u200c\u0647\u0627 \u0628\u0647 \u062f\u0633\u062a \u0645\u06cc\u200c\u0622\u0648\u0631\u06cc\u062f. \u062a\u0645\u0631\u06a9\u0632 \u0632\u06cc\u0627\u062f\u06cc \u0628\u0631 \u0631\u0648\u06cc \u0627\u0633\u062a\u0641\u0627\u062f\u0647 \u0627\u0632 \u0627\u0628\u0632\u0627\u0631\u0647\u0627\u06cc \u0645\u062d\u0628\u0648\u0628 \u0648 \u0642\u062f\u0631\u062a\u0645\u0646\u062f \u0628\u0631\u0646\u0627\u0645\u0647\u200c\u0646\u0648\u06cc\u0633\u06cc \u0645\u0627\u0646\u0646\u062f \u067e\u0627\u06cc\u062a\u0648\u0646 (Python)<\/span> \u0648 \u06a9\u062a\u0627\u0628\u062e\u0627\u0646\u0647\u200c\u0647\u0627\u06cc \u06a9\u0644\u06cc\u062f\u06cc \u0622\u0646 \u0634\u0627\u0645\u0644 NumPy\u060c Pandas\u060c Scikit-learn\u060c TensorFlow \u0648 Keras<\/span> \u0648\u062c\u0648\u062f \u062f\u0627\u0631\u062f. \u0647\u0645\u0686\u0646\u06cc\u0646\u060c \u0634\u0645\u0627 \u062a\u062c\u0631\u0628\u0647 \u0639\u0645\u0644\u06cc \u06a9\u0627\u0631 \u0628\u0627 \u067e\u0644\u062a\u0641\u0631\u0645\u200c\u0647\u0627 \u0648 \u0633\u0631\u0648\u06cc\u0633\u200c\u0647\u0627\u06cc \u0647\u0648\u0634 \u0645\u0635\u0646\u0648\u0639\u06cc IBM \u0627\u0632 \u062c\u0645\u0644\u0647 IBM Watson AI<\/span> \u0631\u0627 \u06a9\u0633\u0628 \u062e\u0648\u0627\u0647\u06cc\u062f \u06a9\u0631\u062f.<\/p>\n

\u062f\u0631 \u0637\u0648\u0644 \u0627\u06cc\u0646 \u0628\u0631\u0646\u0627\u0645\u0647\u060c \u0634\u0645\u0627 \u06cc\u0627\u062f \u062e\u0648\u0627\u0647\u06cc\u062f \u06af\u0631\u0641\u062a \u06a9\u0647 \u0686\u06af\u0648\u0646\u0647 \u0645\u062f\u0644\u200c\u0647\u0627\u06cc \u0647\u0648\u0634 \u0645\u0635\u0646\u0648\u0639\u06cc \u0631\u0627 \u0628\u0631\u0627\u06cc \u062d\u0644 \u0645\u0633\u0627\u0626\u0644 \u0648\u0627\u0642\u0639\u06cc \u062f\u0631 \u062d\u0648\u0632\u0647\u200c\u0647\u0627\u06cc\u06cc \u0645\u0627\u0646\u0646\u062f \u067e\u0631\u062f\u0627\u0632\u0634 \u0632\u0628\u0627\u0646 \u0637\u0628\u06cc\u0639\u06cc (NLP)\u060c \u0628\u06cc\u0646\u0627\u06cc\u06cc \u0645\u0627\u0634\u06cc\u0646 (Computer Vision) \u0648 \u062a\u062d\u0644\u06cc\u0644 \u0633\u0631\u06cc\u200c\u0647\u0627\u06cc \u0632\u0645\u0627\u0646\u06cc<\/span> \u062a\u0648\u0633\u0639\u0647 \u062f\u0647\u06cc\u062f\u060c \u0622\u0645\u0648\u0632\u0634 \u062f\u0647\u06cc\u062f\u060c \u0627\u0631\u0632\u06cc\u0627\u0628\u06cc \u06a9\u0646\u06cc\u062f \u0648 \u062f\u0631 \u0646\u0647\u0627\u06cc\u062a \u0628\u0647 \u06a9\u0627\u0631 \u0628\u06af\u06cc\u0631\u06cc\u062f. \u0627\u06cc\u0646 \u0645\u0647\u0627\u0631\u062a\u200c\u0647\u0627 \u0628\u0647 \u0634\u0645\u0627 \u0627\u0645\u06a9\u0627\u0646 \u0645\u06cc\u200c\u062f\u0647\u0646\u062f \u062a\u0627 \u062f\u0627\u062f\u0647\u200c\u0647\u0627 \u0631\u0627 \u062a\u062d\u0644\u06cc\u0644 \u06a9\u0631\u062f\u0647\u060c \u0627\u0644\u06af\u0648\u0647\u0627 \u0631\u0627 \u0634\u0646\u0627\u0633\u0627\u06cc\u06cc \u06a9\u0631\u062f\u0647\u060c \u0648 \u067e\u06cc\u0634\u200c\u0628\u06cc\u0646\u06cc\u200c\u0647\u0627\u06cc \u062f\u0642\u06cc\u0642\u06cc \u0627\u0646\u062c\u0627\u0645 \u062f\u0647\u06cc\u062f \u06a9\u0647 \u0645\u0646\u062c\u0631 \u0628\u0647 \u062a\u0635\u0645\u06cc\u0645\u200c\u06af\u06cc\u0631\u06cc\u200c\u0647\u0627\u06cc \u0628\u0647\u062a\u0631 \u062f\u0631 \u06a9\u0633\u0628\u200c\u0648\u06a9\u0627\u0631\u0647\u0627 \u0648 \u0635\u0646\u0627\u06cc\u0639 \u0645\u062e\u062a\u0644\u0641 \u0645\u06cc\u200c\u0634\u0648\u062f.<\/p>\n<\/p><\/div>\n

\n

\u0686\u0631\u0627 \u06af\u0648\u0627\u0647\u06cc\u0646\u0627\u0645\u0647 \u062d\u0631\u0641\u0647\u200c\u0627\u06cc \u0647\u0648\u0634 \u0645\u0635\u0646\u0648\u0639\u06cc \u06a9\u0627\u0631\u0628\u0631\u062f\u06cc IBM\u061f<\/h2>\n

\u06af\u0648\u0627\u0647\u06cc\u0646\u0627\u0645\u0647 \u062d\u0631\u0641\u0647\u200c\u0627\u06cc \u0647\u0648\u0634 \u0645\u0635\u0646\u0648\u0639\u06cc \u06a9\u0627\u0631\u0628\u0631\u062f\u06cc IBM \u0627\u0632 Coursera \u0645\u0632\u0627\u06cc\u0627\u06cc \u0645\u062a\u0639\u062f\u062f\u06cc \u0631\u0627 \u0628\u0631\u0627\u06cc \u0634\u0645\u0627 \u0628\u0647 \u0627\u0631\u0645\u063a\u0627\u0646 \u0645\u06cc\u200c\u0622\u0648\u0631\u062f \u06a9\u0647 \u0622\u0646 \u0631\u0627 \u0628\u0647 \u06af\u0632\u06cc\u0646\u0647\u200c\u0627\u06cc \u0628\u0631\u062c\u0633\u062a\u0647 \u0628\u0631\u0627\u06cc \u062a\u0648\u0633\u0639\u0647 \u0645\u0647\u0627\u0631\u062a\u200c\u0647\u0627\u06cc \u0647\u0648\u0634 \u0645\u0635\u0646\u0648\u0639\u06cc \u062a\u0628\u062f\u06cc\u0644 \u0645\u06cc\u200c\u06a9\u0646\u062f:<\/p>\n

    \n
  • \u0627\u0639\u062a\u0628\u0627\u0631 \u0635\u0646\u0639\u062a\u06cc \u0628\u0627\u0644\u0627:<\/strong> \u0627\u06cc\u0646 \u06af\u0648\u0627\u0647\u06cc\u0646\u0627\u0645\u0647 \u062a\u0648\u0633\u0637 IBM\u060c \u06cc\u06a9\u06cc \u0627\u0632 \u067e\u06cc\u0634\u0631\u0648\u0627\u0646 \u062c\u0647\u0627\u0646\u06cc \u062f\u0631 \u062d\u0648\u0632\u0647 \u0641\u0646\u0627\u0648\u0631\u06cc \u0648 \u0647\u0648\u0634 \u0645\u0635\u0646\u0648\u0639\u06cc\u060c \u062a\u0648\u0633\u0639\u0647 \u06cc\u0627\u0641\u062a\u0647 \u0627\u0633\u062a. \u0627\u06cc\u0646 \u0645\u0648\u0636\u0648\u0639 \u0628\u0647 \u0631\u0632\u0648\u0645\u0647 \u0634\u0645\u0627 \u0627\u0639\u062a\u0628\u0627\u0631 \u0642\u0627\u0628\u0644 \u062a\u0648\u062c\u0647\u06cc \u0645\u06cc\u200c\u0628\u062e\u0634\u062f \u0648 \u0634\u0645\u0627 \u0631\u0627 \u062f\u0631 \u0645\u06cc\u0627\u0646 \u06a9\u0627\u0631\u0641\u0631\u0645\u0627\u06cc\u0627\u0646 \u0628\u0631\u062c\u0633\u062a\u0647 \u0645\u06cc\u200c\u06a9\u0646\u062f.<\/li>\n
  • \u062a\u0645\u0631\u06a9\u0632 \u0628\u0631 \u0645\u0647\u0627\u0631\u062a\u200c\u0647\u0627\u06cc \u0639\u0645\u0644\u06cc:<\/strong> \u0628\u0631\u062e\u0644\u0627\u0641 \u062f\u0648\u0631\u0647\u200c\u0647\u0627\u06cc \u0635\u0631\u0641\u0627\u064b \u0646\u0638\u0631\u06cc\u060c \u0627\u06cc\u0646 \u0628\u0631\u0646\u0627\u0645\u0647 \u0628\u0631 \u067e\u0631\u0648\u0698\u0647\u200c\u0647\u0627\u06cc \u0639\u0645\u0644\u06cc \u0648 \u062d\u0644 \u0645\u0633\u0627\u0626\u0644 \u0648\u0627\u0642\u0639\u06cc \u062a\u0627\u06a9\u06cc\u062f \u062f\u0627\u0631\u062f. \u0634\u0645\u0627 \u0628\u0627 \u067e\u06cc\u0627\u062f\u0647\u200c\u0633\u0627\u0632\u06cc \u062f\u0633\u062a\u200c\u0628\u0647\u200c\u06a9\u0627\u0631 \u0645\u062f\u0644\u200c\u0647\u0627\u06cc \u0647\u0648\u0634 \u0645\u0635\u0646\u0648\u0639\u06cc\u060c \u0645\u0647\u0627\u0631\u062a\u200c\u0647\u0627\u06cc \u0644\u0627\u0632\u0645 \u0628\u0631\u0627\u06cc \u06a9\u0627\u0631 \u062f\u0631 \u0645\u0648\u0642\u0639\u06cc\u062a\u200c\u0647\u0627\u06cc \u0634\u063a\u0644\u06cc \u0648\u0627\u0642\u0639\u06cc \u0631\u0627 \u06a9\u0633\u0628 \u062e\u0648\u0627\u0647\u06cc\u062f \u06a9\u0631\u062f.<\/li>\n
  • \u0622\u0645\u0627\u062f\u06af\u06cc \u0634\u063a\u0644\u06cc \u062a\u062e\u0635\u0635\u06cc:<\/strong> \u0645\u062d\u062a\u0648\u0627\u06cc \u062f\u0648\u0631\u0647 \u0628\u0647 \u06af\u0648\u0646\u0647\u200c\u0627\u06cc \u0637\u0631\u0627\u062d\u06cc \u0634\u062f\u0647 \u0627\u0633\u062a \u06a9\u0647 \u0641\u0627\u0631\u063a\u200c\u0627\u0644\u062a\u062d\u0635\u06cc\u0644\u0627\u0646 \u0631\u0627 \u0628\u0631\u0627\u06cc \u0646\u0642\u0634\u200c\u0647\u0627\u06cc \u067e\u0631\u062a\u0642\u0627\u0636\u0627 \u0645\u0627\u0646\u0646\u062f \u062f\u0627\u0646\u0634\u0645\u0646\u062f \u062f\u0627\u062f\u0647\u060c \u0645\u0647\u0646\u062f\u0633 \u06cc\u0627\u062f\u06af\u06cc\u0631\u06cc \u0645\u0627\u0634\u06cc\u0646\u060c \u06cc\u0627 \u062a\u062d\u0644\u06cc\u0644\u06af\u0631 \u0647\u0648\u0634 \u0645\u0635\u0646\u0648\u0639\u06cc \u0622\u0645\u0627\u062f\u0647 \u06a9\u0646\u062f. \u0634\u0645\u0627 \u0628\u0627 \u062c\u062f\u06cc\u062f\u062a\u0631\u06cc\u0646 \u0627\u0628\u0632\u0627\u0631\u0647\u0627 \u0648 \u062a\u06a9\u0646\u06cc\u06a9\u200c\u0647\u0627\u06cc \u0645\u0648\u0631\u062f \u0646\u06cc\u0627\u0632 \u062f\u0631 \u0635\u0646\u0639\u062a \u0622\u0634\u0646\u0627 \u0645\u06cc\u200c\u0634\u0648\u06cc\u062f.<\/li>\n
  • \u062c\u0627\u0645\u0639\u06cc\u062a \u0645\u062d\u062a\u0648\u0627:<\/strong> \u0627\u0632 \u0645\u0628\u0627\u0646\u06cc \u0647\u0648\u0634 \u0645\u0635\u0646\u0648\u0639\u06cc \u0648 \u0628\u0631\u0646\u0627\u0645\u0647\u200c\u0646\u0648\u06cc\u0633\u06cc \u067e\u0627\u06cc\u062a\u0648\u0646 \u06af\u0631\u0641\u062a\u0647 \u062a\u0627 \u06cc\u0627\u062f\u06af\u06cc\u0631\u06cc \u0639\u0645\u06cc\u0642\u060c \u067e\u0631\u062f\u0627\u0632\u0634 \u0632\u0628\u0627\u0646 \u0637\u0628\u06cc\u0639\u06cc\u060c \u0628\u06cc\u0646\u0627\u06cc\u06cc \u0645\u0627\u0634\u06cc\u0646 \u0648 \u0627\u0633\u062a\u0642\u0631\u0627\u0631 \u0645\u062f\u0644\u200c\u0647\u0627\u060c \u0627\u06cc\u0646 \u06af\u0648\u0627\u0647\u06cc\u0646\u0627\u0645\u0647 \u0637\u06cc\u0641 \u0648\u0633\u06cc\u0639\u06cc \u0627\u0632 \u062f\u0627\u0646\u0634 \u0647\u0648\u0634 \u0645\u0635\u0646\u0648\u0639\u06cc \u0631\u0627 \u067e\u0648\u0634\u0634 \u0645\u06cc\u200c\u062f\u0647\u062f \u0648 \u0634\u0645\u0627 \u0631\u0627 \u0628\u0647 \u06cc\u06a9 \u0645\u062a\u062e\u0635\u0635 \u0647\u0645\u0647\u200c\u062c\u0627\u0646\u0628\u0647 \u062a\u0628\u062f\u06cc\u0644 \u0645\u06cc\u200c\u06a9\u0646\u062f.<\/li>\n
  • \u062f\u0633\u062a\u0631\u0633\u06cc \u0628\u0647 \u0627\u0628\u0632\u0627\u0631\u0647\u0627 \u0648 \u067e\u0644\u062a\u0641\u0631\u0645\u200c\u0647\u0627\u06cc IBM:<\/strong> \u062f\u0631 \u0637\u0648\u0644 \u062f\u0648\u0631\u0647\u060c \u0634\u0645\u0627 \u0628\u0627 \u067e\u0644\u062a\u0641\u0631\u0645\u200c\u0647\u0627 \u0648 \u0633\u0631\u0648\u06cc\u0633\u200c\u0647\u0627\u06cc \u0647\u0648\u0634 \u0645\u0635\u0646\u0648\u0639\u06cc IBM\u060c \u0627\u0632 \u062c\u0645\u0644\u0647 IBM Watson AI \u0648 IBM Watson Studio\u060c \u06a9\u0627\u0631 \u062e\u0648\u0627\u0647\u06cc\u062f \u06a9\u0631\u062f \u06a9\u0647 \u062a\u062c\u0631\u0628\u0647 \u0639\u0645\u0644\u06cc \u0627\u0631\u0632\u0634\u0645\u0646\u062f\u06cc \u0631\u0627 \u0628\u0627 \u0627\u0628\u0632\u0627\u0631\u0647\u0627\u06cc \u0633\u0627\u0632\u0645\u0627\u0646\u06cc \u0628\u0647 \u0634\u0645\u0627 \u0645\u06cc\u200c\u062f\u0647\u062f.<\/li>\n<\/ul><\/div>\n
    \n

    \u067e\u06cc\u0634\u200c\u0646\u06cc\u0627\u0632\u0647\u0627<\/h2>\n

    \u0628\u0631\u0627\u06cc \u0628\u0647\u0631\u0647\u200c\u0645\u0646\u062f\u06cc \u062d\u062f\u0627\u06a9\u062b\u0631\u06cc \u0627\u0632 \u0627\u06cc\u0646 \u0628\u0631\u0646\u0627\u0645\u0647 \u0622\u0645\u0648\u0632\u0634\u06cc \u0648 \u062a\u0633\u0631\u06cc\u0639 \u062f\u0631 \u06cc\u0627\u062f\u06af\u06cc\u0631\u06cc\u060c \u062f\u0627\u0634\u062a\u0646 \u067e\u06cc\u0634\u200c\u0646\u06cc\u0627\u0632\u0647\u0627\u06cc \u0632\u06cc\u0631 \u062a\u0648\u0635\u06cc\u0647 \u0645\u06cc\u200c\u0634\u0648\u062f:<\/p>\n

      \n
    • \u0622\u0634\u0646\u0627\u06cc\u06cc \u0628\u0627 \u0628\u0631\u0646\u0627\u0645\u0647\u200c\u0646\u0648\u06cc\u0633\u06cc:<\/strong> \u062a\u062c\u0631\u0628\u0647 \u0642\u0628\u0644\u06cc \u062f\u0631 \u0647\u0631 \u0632\u0628\u0627\u0646 \u0628\u0631\u0646\u0627\u0645\u0647\u200c\u0646\u0648\u06cc\u0633\u06cc\u060c \u0628\u0647 \u0648\u06cc\u0698\u0647 \u067e\u0627\u06cc\u062a\u0648\u0646\u060c \u0628\u0633\u06cc\u0627\u0631 \u0645\u0641\u06cc\u062f \u062e\u0648\u0627\u0647\u062f \u0628\u0648\u062f. \u062f\u0631\u06a9 \u0645\u0641\u0627\u0647\u06cc\u0645 \u0627\u0633\u0627\u0633\u06cc \u0628\u0631\u0646\u0627\u0645\u0647\u200c\u0646\u0648\u06cc\u0633\u06cc \u0645\u0627\u0646\u0646\u062f \u0645\u062a\u063a\u06cc\u0631\u0647\u0627\u060c \u062a\u0648\u0627\u0628\u0639\u060c \u062d\u0644\u0642\u0647\u200c\u0647\u0627 \u0648 \u0634\u0631\u0637\u200c\u0647\u0627 \u0628\u0647 \u0634\u0645\u0627 \u06a9\u0645\u06a9 \u0645\u06cc\u200c\u06a9\u0646\u062f \u062a\u0627 \u0645\u0637\u0627\u0644\u0628 \u0631\u0627 \u0628\u0647\u062a\u0631 \u062f\u0646\u0628\u0627\u0644 \u06a9\u0646\u06cc\u062f.<\/li>\n
    • \u0645\u0641\u0627\u0647\u06cc\u0645 \u067e\u0627\u06cc\u0647 \u0631\u06cc\u0627\u0636\u06cc \u0648 \u0622\u0645\u0627\u0631:<\/strong> \u062f\u0631\u06a9 \u0627\u0648\u0644\u06cc\u0647 \u0627\u0632 \u062c\u0628\u0631 \u062e\u0637\u06cc\u060c \u062d\u0633\u0627\u0628\u0627\u0646 \u0645\u0642\u062f\u0645\u0627\u062a\u06cc \u0648 \u0622\u0645\u0627\u0631 \u067e\u0627\u06cc\u0647 \u0645\u06cc\u200c\u062a\u0648\u0627\u0646\u062f \u0628\u0647 \u0634\u0645\u0627 \u062f\u0631 \u062f\u0631\u06a9 \u0628\u0647\u062a\u0631 \u0645\u0641\u0627\u0647\u06cc\u0645 \u067e\u06cc\u0686\u06cc\u062f\u0647\u200c\u062a\u0631 \u06cc\u0627\u062f\u06af\u06cc\u0631\u06cc \u0645\u0627\u0634\u06cc\u0646 \u0648 \u06cc\u0627\u062f\u06af\u06cc\u0631\u06cc \u0639\u0645\u06cc\u0642 \u06a9\u0645\u06a9 \u06a9\u0646\u062f\u060c \u0627\u06af\u0631\u0686\u0647 \u0645\u0628\u0627\u0646\u06cc \u0644\u0627\u0632\u0645 \u062f\u0631 \u0637\u0648\u0644 \u062f\u0648\u0631\u0647 \u0645\u0631\u0648\u0631 \u0645\u06cc\u200c\u0634\u0648\u0646\u062f.<\/li>\n
    • \u0627\u0634\u062a\u06cc\u0627\u0642 \u0628\u0647 \u06cc\u0627\u062f\u06af\u06cc\u0631\u06cc \u0648 \u062d\u0644 \u0645\u0633\u0626\u0644\u0647:<\/strong> \u0645\u0647\u0645\u200c\u062a\u0631 \u0627\u0632 \u0647\u0645\u0647\u060c \u0639\u0644\u0627\u0642\u0647 \u0648 \u0627\u0634\u062a\u06cc\u0627\u0642 \u0628\u0647 \u062d\u0648\u0632\u0647 \u0647\u0648\u0634 \u0645\u0635\u0646\u0648\u0639\u06cc \u0648 \u062a\u0648\u0627\u0646\u0627\u06cc\u06cc \u062d\u0644 \u0645\u0633\u0627\u0626\u0644 \u067e\u06cc\u0686\u06cc\u062f\u0647\u060c \u0645\u062d\u0631\u06a9 \u0627\u0635\u0644\u06cc \u0634\u0645\u0627 \u062f\u0631 \u0637\u0648\u0644 \u0627\u06cc\u0646 \u0645\u0633\u06cc\u0631 \u062e\u0648\u0627\u0647\u062f \u0628\u0648\u062f.<\/li>\n<\/ul><\/div>\n

      \u0633\u0627\u062e\u062a\u0627\u0631 \u062f\u0648\u0631\u0647 \u0648 \u0633\u0631\u0641\u0635\u0644\u200c\u0647\u0627<\/h2>\n

      \u0627\u06cc\u0646 \u06af\u0648\u0627\u0647\u06cc\u0646\u0627\u0645\u0647 \u0634\u0627\u0645\u0644 \u0686\u0646\u062f\u06cc\u0646 \u062f\u0648\u0631\u0647 \u0622\u0645\u0648\u0632\u0634\u06cc \u0627\u0633\u062a \u06a9\u0647 \u0647\u0631 \u06cc\u06a9 \u0628\u0631 \u062c\u0646\u0628\u0647 \u062e\u0627\u0635\u06cc \u0627\u0632 \u0647\u0648\u0634 \u0645\u0635\u0646\u0648\u0639\u06cc \u062a\u0645\u0631\u06a9\u0632 \u062f\u0627\u0631\u0646\u062f \u0648 \u0634\u0645\u0627 \u0631\u0627 \u06af\u0627\u0645 \u0628\u0647 \u06af\u0627\u0645 \u0628\u0647 \u06cc\u06a9 \u0645\u062a\u062e\u0635\u0635 \u0647\u0648\u0634 \u0645\u0635\u0646\u0648\u0639\u06cc \u06a9\u0627\u0631\u0628\u0631\u062f\u06cc \u062a\u0628\u062f\u06cc\u0644 \u0645\u06cc\u200c\u06a9\u0646\u0646\u062f. \u0627\u06cc\u0646 \u0633\u0627\u062e\u062a\u0627\u0631 \u0645\u0646\u0637\u0642\u06cc\u060c \u06cc\u0627\u062f\u06af\u06cc\u0631\u06cc \u0631\u0627 \u0628\u0631\u0627\u06cc \u0634\u0645\u0627 \u062a\u0633\u0647\u06cc\u0644 \u0645\u06cc\u200c\u06a9\u0646\u062f \u0648 \u0627\u0637\u0645\u06cc\u0646\u0627\u0646 \u0645\u06cc\u200c\u062f\u0647\u062f \u06a9\u0647 \u0645\u0641\u0627\u0647\u06cc\u0645 \u0631\u0627 \u0628\u0647 \u0635\u0648\u0631\u062a \u062a\u062f\u0631\u06cc\u062c\u06cc \u0648 \u0639\u0645\u06cc\u0642 \u0641\u0631\u0627 \u0645\u06cc\u200c\u06af\u06cc\u0631\u06cc\u062f:<\/p>\n

      \n

      1. \u0647\u0648\u0634 \u0645\u0635\u0646\u0648\u0639\u06cc: \u0645\u0641\u0627\u0647\u06cc\u0645 \u0648 \u06a9\u0627\u0631\u0628\u0631\u062f\u0647\u0627 (AI Concepts and Applications)<\/h3>\n

      \u0627\u06cc\u0646 \u062f\u0648\u0631\u0647 \u0622\u063a\u0627\u0632\u06cc\u0646 \u0634\u0645\u0627 \u0631\u0627 \u0628\u0627 \u062f\u0646\u06cc\u0627\u06cc \u0647\u0648\u0634 \u0645\u0635\u0646\u0648\u0639\u06cc \u0622\u0634\u0646\u0627 \u0645\u06cc\u200c\u06a9\u0646\u062f. \u0634\u0645\u0627 \u0628\u0627 \u062a\u0639\u0631\u06cc\u0641 \u0647\u0648\u0634 \u0645\u0635\u0646\u0648\u0639\u06cc\u060c \u0632\u06cc\u0631\u0634\u0627\u062e\u0647\u200c\u0647\u0627\u06cc \u0627\u0635\u0644\u06cc \u0622\u0646 \u0645\u0627\u0646\u0646\u062f \u06cc\u0627\u062f\u06af\u06cc\u0631\u06cc \u0645\u0627\u0634\u06cc\u0646 \u0648 \u06cc\u0627\u062f\u06af\u06cc\u0631\u06cc \u0639\u0645\u06cc\u0642\u060c \u0648 \u0647\u0645\u0686\u0646\u06cc\u0646 \u06a9\u0627\u0631\u0628\u0631\u062f\u0647\u0627\u06cc \u06af\u0633\u062a\u0631\u062f\u0647 \u0622\u0646 \u062f\u0631 \u0635\u0646\u0627\u06cc\u0639 \u0645\u062e\u062a\u0644\u0641 \u0627\u0632 \u062c\u0645\u0644\u0647 \u062e\u0648\u062f\u0631\u0648\u0633\u0627\u0632\u06cc\u060c \u067e\u0632\u0634\u06a9\u06cc\u060c \u0645\u0627\u0644\u06cc \u0648 \u062e\u0631\u062f\u0647\u200c\u0641\u0631\u0648\u0634\u06cc \u0622\u0634\u0646\u0627 \u062e\u0648\u0627\u0647\u06cc\u062f \u0634\u062f. \u0645\u0628\u0627\u062d\u062b\u06cc \u0645\u0627\u0646\u0646\u062f \u062a\u0627\u0631\u06cc\u062e\u0686\u0647 \u0647\u0648\u0634 \u0645\u0635\u0646\u0648\u0639\u06cc\u060c \u0647\u0648\u0634 \u0645\u0635\u0646\u0648\u0639\u06cc \u0642\u0648\u06cc \u0648 \u0636\u0639\u06cc\u0641\u060c \u0648 \u0645\u0644\u0627\u062d\u0638\u0627\u062a \u0627\u062e\u0644\u0627\u0642\u06cc \u0648 \u0627\u062c\u062a\u0645\u0627\u0639\u06cc \u062f\u0631 \u0647\u0648\u0634 \u0645\u0635\u0646\u0648\u0639\u06cc \u0646\u06cc\u0632 \u0645\u0648\u0631\u062f \u0628\u062d\u062b \u0642\u0631\u0627\u0631 \u0645\u06cc\u200c\u06af\u06cc\u0631\u0646\u062f. \u0627\u06cc\u0646 \u062f\u0648\u0631\u0647 \u067e\u0627\u06cc\u0647\u200c\u0627\u06cc \u0645\u062d\u06a9\u0645 \u0628\u0631\u0627\u06cc \u062f\u0631\u06a9 \u0639\u0645\u06cc\u0642\u200c\u062a\u0631 \u0645\u0648\u0636\u0648\u0639\u0627\u062a \u0628\u0639\u062f\u06cc \u0641\u0631\u0627\u0647\u0645 \u0645\u06cc\u200c\u06a9\u0646\u062f.<\/p>\n<\/p><\/div>\n

      \n

      2. \u0628\u0631\u0646\u0627\u0645\u0647\u200c\u0646\u0648\u06cc\u0633\u06cc \u067e\u0627\u06cc\u062a\u0648\u0646 \u0628\u0631\u0627\u06cc \u0639\u0644\u0645 \u062f\u0627\u062f\u0647 \u0648 \u0647\u0648\u0634 \u0645\u0635\u0646\u0648\u0639\u06cc (Python for Data Science and AI)<\/h3>\n

      \u067e\u0627\u06cc\u062a\u0648\u0646 \u0632\u0628\u0627\u0646 \u0627\u0635\u0644\u06cc \u0648 \u0627\u0633\u062a\u0627\u0646\u062f\u0627\u0631\u062f \u062f\u0631 \u062d\u0648\u0632\u0647 \u0639\u0644\u0645 \u062f\u0627\u062f\u0647 \u0648 \u0647\u0648\u0634 \u0645\u0635\u0646\u0648\u0639\u06cc \u0627\u0633\u062a. \u0627\u06cc\u0646 \u062f\u0648\u0631\u0647 \u0628\u0631 \u0622\u0645\u0648\u0632\u0634 \u0645\u0628\u0627\u0646\u06cc \u067e\u0627\u06cc\u062a\u0648\u0646 \u0648 \u06a9\u062a\u0627\u0628\u062e\u0627\u0646\u0647\u200c\u0647\u0627\u06cc \u0627\u0635\u0644\u06cc \u0622\u0646 \u0628\u0631\u0627\u06cc \u06a9\u0627\u0631 \u0628\u0627 \u062f\u0627\u062f\u0647\u200c\u0647\u0627 \u062a\u0645\u0631\u06a9\u0632 \u062f\u0627\u0631\u062f. \u0634\u0645\u0627 \u0628\u0627 \u0633\u0627\u062e\u062a\u0627\u0631\u0647\u0627\u06cc \u062f\u0627\u062f\u0647 \u067e\u0627\u06cc\u062a\u0648\u0646 (\u0644\u06cc\u0633\u062a\u200c\u0647\u0627\u060c \u062f\u06cc\u06a9\u0634\u0646\u0631\u06cc\u200c\u0647\u0627\u060c \u062a\u0627\u067e\u0644\u200c\u0647\u0627)\u060c \u062a\u0648\u0627\u0628\u0639\u060c \u062d\u0644\u0642\u0647\u200c\u0647\u0627 \u0648 \u0634\u0631\u0637\u200c\u0647\u0627 \u0622\u0634\u0646\u0627 \u0645\u06cc\u200c\u0634\u0648\u06cc\u062f. \u0633\u067e\u0633 \u0628\u0647 \u0633\u0631\u0627\u063a \u06a9\u062a\u0627\u0628\u062e\u0627\u0646\u0647\u200c\u0647\u0627\u06cc \u0642\u062f\u0631\u062a\u0645\u0646\u062f\u06cc \u0645\u0627\u0646\u0646\u062f NumPy<\/span> \u0628\u0631\u0627\u06cc \u0645\u062d\u0627\u0633\u0628\u0627\u062a \u0639\u062f\u062f\u06cc \u0648 \u0622\u0631\u0627\u06cc\u0647\u200c\u0647\u0627\u060c Pandas<\/span> \u0628\u0631\u0627\u06cc \u062a\u062d\u0644\u06cc\u0644 \u0648 \u062f\u0633\u062a\u06a9\u0627\u0631\u06cc \u062f\u0627\u062f\u0647\u200c\u0647\u0627 (\u0628\u0647 \u0648\u06cc\u0698\u0647 \u0628\u0627 \u0627\u0633\u062a\u0641\u0627\u062f\u0647 \u0627\u0632 DataFrame)\u060c \u0648 Matplotlib \u0648 Seaborn<\/span> \u0628\u0631\u0627\u06cc \u0628\u0635\u0631\u06cc\u200c\u0633\u0627\u0632\u06cc \u062f\u0627\u062f\u0647\u200c\u0647\u0627 \u0648 \u06a9\u0634\u0641 \u0627\u0644\u06af\u0648\u0647\u0627 \u062e\u0648\u0627\u0647\u06cc\u062f \u0631\u0641\u062a. \u0627\u06cc\u0646 \u0645\u0647\u0627\u0631\u062a\u200c\u0647\u0627 \u0628\u0631\u0627\u06cc \u0647\u0631 \u06a9\u0633\u06cc \u06a9\u0647 \u0642\u0635\u062f \u062f\u0627\u0631\u062f \u062f\u0631 \u062d\u0648\u0632\u0647 \u0647\u0648\u0634 \u0645\u0635\u0646\u0648\u0639\u06cc \u0641\u0639\u0627\u0644\u06cc\u062a \u06a9\u0646\u062f\u060c \u0636\u0631\u0648\u0631\u06cc \u0627\u0633\u062a.<\/p>\n<\/p><\/div>\n

      \n

      3. \u06cc\u0627\u062f\u06af\u06cc\u0631\u06cc \u0645\u0627\u0634\u06cc\u0646 \u0628\u0627 \u067e\u0627\u06cc\u062a\u0648\u0646 (Machine Learning with Python)<\/h3>\n

      \u062f\u0631 \u0627\u06cc\u0646 \u062f\u0648\u0631\u0647\u060c \u0634\u0645\u0627 \u0628\u0647 \u0642\u0644\u0628 \u06cc\u0627\u062f\u06af\u06cc\u0631\u06cc \u0645\u0627\u0634\u06cc\u0646 \u0648\u0627\u0631\u062f \u0645\u06cc\u200c\u0634\u0648\u06cc\u062f \u0648 \u0628\u0627 \u0637\u06cc\u0641 \u0648\u0633\u06cc\u0639\u06cc \u0627\u0632 \u0627\u0644\u06af\u0648\u0631\u06cc\u062a\u0645\u200c\u0647\u0627 \u0648 \u062a\u06a9\u0646\u06cc\u06a9\u200c\u0647\u0627 \u0622\u0634\u0646\u0627 \u0645\u06cc\u200c\u0634\u0648\u06cc\u062f. \u0645\u0641\u0627\u0647\u06cc\u0645 \u0627\u0633\u0627\u0633\u06cc \u0645\u0627\u0646\u0646\u062f \u06cc\u0627\u062f\u06af\u06cc\u0631\u06cc \u0646\u0638\u0627\u0631\u062a\u200c\u0634\u062f\u0647 (Supervised Learning)\u060c \u06cc\u0627\u062f\u06af\u06cc\u0631\u06cc \u0628\u062f\u0648\u0646 \u0646\u0638\u0627\u0631\u062a (Unsupervised Learning) \u0648 \u06cc\u0627\u062f\u06af\u06cc\u0631\u06cc \u062a\u0642\u0648\u06cc\u062a\u06cc (Reinforcement Learning)<\/span> \u0622\u0645\u0648\u0632\u0634 \u062f\u0627\u062f\u0647 \u0645\u06cc\u200c\u0634\u0648\u062f. \u0634\u0645\u0627 \u0628\u0627 \u0627\u0644\u06af\u0648\u0631\u06cc\u062a\u0645\u200c\u0647\u0627\u06cc \u06a9\u0644\u06cc\u062f\u06cc \u0645\u0627\u0646\u0646\u062f \u0631\u06af\u0631\u0633\u06cc\u0648\u0646 \u062e\u0637\u06cc\u060c \u0631\u06af\u0631\u0633\u06cc\u0648\u0646 \u0644\u062c\u0633\u062a\u06cc\u06a9\u060c \u062f\u0631\u062e\u062a\u200c\u0647\u0627\u06cc \u062a\u0635\u0645\u06cc\u0645\u060c \u0645\u0627\u0634\u06cc\u0646\u200c\u0647\u0627\u06cc \u0628\u0631\u062f\u0627\u0631 \u067e\u0634\u062a\u06cc\u0628\u0627\u0646 (SVM)\u060c \u062e\u0648\u0634\u0647\u200c\u0628\u0646\u062f\u06cc K-Means\u060c \u0648 \u0631\u0648\u0634\u200c\u0647\u0627\u06cc \u06a9\u0627\u0647\u0634 \u0627\u0628\u0639\u0627\u062f \u0645\u0627\u0646\u0646\u062f PCA<\/span> \u0622\u0634\u0646\u0627 \u062e\u0648\u0627\u0647\u06cc\u062f \u0634\u062f. \u0627\u0633\u062a\u0641\u0627\u062f\u0647 \u0627\u0632 \u06a9\u062a\u0627\u0628\u062e\u0627\u0646\u0647 Scikit-learn<\/span> \u0628\u0631\u0627\u06cc \u067e\u06cc\u0627\u062f\u0647\u200c\u0633\u0627\u0632\u06cc \u0639\u0645\u0644\u06cc \u0627\u06cc\u0646 \u0627\u0644\u06af\u0648\u0631\u06cc\u062a\u0645\u200c\u0647\u0627\u060c \u0627\u0646\u062a\u062e\u0627\u0628 \u0645\u062f\u0644\u060c \u0622\u0645\u0648\u0632\u0634 \u0645\u062f\u0644\u060c \u0627\u0631\u0632\u06cc\u0627\u0628\u06cc \u0639\u0645\u0644\u06a9\u0631\u062f (\u0645\u0627\u0646\u0646\u062f \u062f\u0642\u062a\u060c \u0641\u0631\u0627\u062e\u0648\u0627\u0646\u06cc \u0648 F1-Score) \u0648 \u062a\u0646\u0638\u06cc\u0645 \u0647\u0627\u06cc\u067e\u0631\u067e\u0627\u0631\u0627\u0645\u062a\u0631\u0647\u0627 \u0628\u062e\u0634 \u0645\u0647\u0645\u06cc \u0627\u0632 \u0627\u06cc\u0646 \u062f\u0648\u0631\u0647 \u0627\u0633\u062a.<\/p>\n<\/p><\/div>\n

      \n

      4. \u06cc\u0627\u062f\u06af\u06cc\u0631\u06cc \u0639\u0645\u06cc\u0642 \u0628\u0627 TensorFlow \u0648 Keras (Deep Learning with TensorFlow and Keras)<\/h3>\n

      \u0627\u06cc\u0646 \u062f\u0648\u0631\u0647 \u0628\u0647 \u06cc\u0627\u062f\u06af\u06cc\u0631\u06cc \u0639\u0645\u06cc\u0642\u060c \u0634\u0627\u062e\u0647\u200c\u0627\u06cc \u067e\u06cc\u0634\u0631\u0641\u062a\u0647 \u0627\u0632 \u06cc\u0627\u062f\u06af\u06cc\u0631\u06cc \u0645\u0627\u0634\u06cc\u0646 \u06a9\u0647 \u0627\u0644\u0647\u0627\u0645\u200c\u06af\u0631\u0641\u062a\u0647 \u0627\u0632 \u0633\u0627\u062e\u062a\u0627\u0631 \u0645\u063a\u0632 \u0627\u0646\u0633\u0627\u0646 \u0627\u0633\u062a\u060c \u0627\u062e\u062a\u0635\u0627\u0635 \u062f\u0627\u0631\u062f. \u0634\u0645\u0627 \u0628\u0627 \u0634\u0628\u06a9\u0647\u200c\u0647\u0627\u06cc \u0639\u0635\u0628\u06cc \u0645\u0635\u0646\u0648\u0639\u06cc (Artificial Neural Networks)\u060c \u0634\u0628\u06a9\u0647\u200c\u0647\u0627\u06cc \u0639\u0635\u0628\u06cc \u06a9\u0627\u0646\u0648\u0644\u0648\u0634\u0646\u06cc (CNN) \u0628\u0631\u0627\u06cc \u0628\u06cc\u0646\u0627\u06cc\u06cc \u0645\u0627\u0634\u06cc\u0646 \u0648 \u0634\u0628\u06a9\u0647\u200c\u0647\u0627\u06cc \u0639\u0635\u0628\u06cc \u0628\u0627\u0632\u06af\u0634\u062a\u06cc (RNN) \u0648 LSTMs \u0628\u0631\u0627\u06cc \u067e\u0631\u062f\u0627\u0632\u0634 \u0633\u0631\u06cc\u200c\u0647\u0627\u06cc \u0632\u0645\u0627\u0646\u06cc \u0648 \u0632\u0628\u0627\u0646<\/span> \u0622\u0634\u0646\u0627 \u062e\u0648\u0627\u0647\u06cc\u062f \u0634\u062f. \u067e\u06cc\u0627\u062f\u0647\u200c\u0633\u0627\u0632\u06cc \u0627\u06cc\u0646 \u0645\u062f\u0644\u200c\u0647\u0627 \u0628\u0627 \u0627\u0633\u062a\u0641\u0627\u062f\u0647 \u0627\u0632 \u0641\u0631\u06cc\u0645\u200c\u0648\u0631\u06a9\u200c\u0647\u0627\u06cc \u0642\u062f\u0631\u062a\u0645\u0646\u062f TensorFlow \u0648 Keras<\/span>\u060c \u0648 \u0647\u0645\u0686\u0646\u06cc\u0646 \u062f\u0631\u06a9 \u0646\u062d\u0648\u0647 \u0622\u0645\u0648\u0632\u0634\u060c \u062a\u0646\u0638\u06cc\u0645 \u0647\u0627\u06cc\u067e\u0631\u067e\u0627\u0631\u0627\u0645\u062a\u0631\u0647\u0627 \u0648 \u062c\u0644\u0648\u06af\u06cc\u0631\u06cc \u0627\u0632 \u0628\u06cc\u0634\u200c\u0628\u0631\u0627\u0632\u0634 (Overfitting) \u062f\u0631 \u0645\u062f\u0644\u200c\u0647\u0627\u06cc \u06cc\u0627\u062f\u06af\u06cc\u0631\u06cc \u0639\u0645\u06cc\u0642\u060c \u0627\u0632 \u062c\u0645\u0644\u0647 \u0645\u0647\u0645\u200c\u062a\u0631\u06cc\u0646 \u0645\u0628\u0627\u062d\u062b \u0627\u06cc\u0646 \u0628\u062e\u0634 \u0627\u0633\u062a. \u0634\u0645\u0627 \u067e\u0631\u0648\u0698\u0647\u200c\u0647\u0627\u06cc\u06cc \u0645\u0627\u0646\u0646\u062f \u062a\u0634\u062e\u06cc\u0635 \u0627\u0631\u0642\u0627\u0645 \u062f\u0633\u062a\u200c\u0646\u0648\u06cc\u0633 \u0648 \u0637\u0628\u0642\u0647\u200c\u0628\u0646\u062f\u06cc \u062a\u0635\u0627\u0648\u06cc\u0631 \u0631\u0627 \u0627\u0646\u062c\u0627\u0645 \u062e\u0648\u0627\u0647\u06cc\u062f \u062f\u0627\u062f.<\/p>\n<\/p><\/div>\n

      \n

      5. \u0647\u0648\u0634 \u0645\u0635\u0646\u0648\u0639\u06cc \u06a9\u0627\u0631\u0628\u0631\u062f\u06cc: \u067e\u0631\u062f\u0627\u0632\u0634 \u0632\u0628\u0627\u0646 \u0637\u0628\u06cc\u0639\u06cc \u0648 \u0628\u06cc\u0646\u0627\u06cc\u06cc \u0645\u0627\u0634\u06cc\u0646 (Applied AI: NLP & Computer Vision)<\/h3>\n

      \u0627\u06cc\u0646 \u062f\u0648\u0631\u0647 \u0628\u0631 \u06a9\u0627\u0631\u0628\u0631\u062f\u0647\u0627\u06cc \u0648\u0627\u0642\u0639\u06cc \u0647\u0648\u0634 \u0645\u0635\u0646\u0648\u0639\u06cc \u062f\u0631 \u062f\u0648 \u062d\u0648\u0632\u0647 \u06a9\u0644\u06cc\u062f\u06cc \u0648 \u067e\u0631\u062a\u0642\u0627\u0636\u0627 \u062a\u0645\u0631\u06a9\u0632 \u062f\u0627\u0631\u062f. \u062f\u0631 \u0628\u062e\u0634 \u067e\u0631\u062f\u0627\u0632\u0634 \u0632\u0628\u0627\u0646 \u0637\u0628\u06cc\u0639\u06cc (NLP)<\/span>\u060c \u0628\u0627 \u062a\u06a9\u0646\u06cc\u06a9\u200c\u0647\u0627\u06cc\u06cc \u0628\u0631\u0627\u06cc \u062a\u062d\u0644\u06cc\u0644 \u0648 \u062f\u0631\u06a9 \u0632\u0628\u0627\u0646 \u0627\u0646\u0633\u0627\u0646\u06cc \u0645\u0627\u0646\u0646\u062f \u062a\u0648\u06a9\u0646\u0627\u06cc\u0632\u06cc\u0634\u0646\u060c \u0627\u0633\u062a\u0645\u06cc\u0646\u06af\u060c \u0644\u0645\u0627\u062a\u06cc\u0632\u06cc\u0634\u0646\u060c \u0637\u0628\u0642\u0647\u200c\u0628\u0646\u062f\u06cc \u0645\u062a\u0646\u060c \u062a\u062d\u0644\u06cc\u0644 \u0627\u062d\u0633\u0627\u0633\u0627\u062a\u060c \u0648 \u062a\u0634\u062e\u06cc\u0635 \u0645\u0648\u062c\u0648\u062f\u06cc\u062a\u200c\u0647\u0627\u06cc \u0646\u0627\u0645\u200c\u06af\u0630\u0627\u0631\u06cc \u0634\u062f\u0647 \u0622\u0634\u0646\u0627 \u0645\u06cc\u200c\u0634\u0648\u06cc\u062f. \u062f\u0631 \u0628\u062e\u0634 \u0628\u06cc\u0646\u0627\u06cc\u06cc \u0645\u0627\u0634\u06cc\u0646 (Computer Vision)<\/span>\u060c \u0631\u0648\u0634\u200c\u0647\u0627\u06cc\u06cc \u0628\u0631\u0627\u06cc \u062a\u062d\u0644\u06cc\u0644 \u0648 \u062a\u0641\u0633\u06cc\u0631 \u062a\u0635\u0627\u0648\u06cc\u0631 \u0648 \u0648\u06cc\u062f\u0626\u0648\u0647\u0627\u060c \u0645\u0627\u0646\u0646\u062f \u062a\u0634\u062e\u06cc\u0635 \u0627\u0634\u06cc\u0627 (Object Detection)\u060c \u0637\u0628\u0642\u0647\u200c\u0628\u0646\u062f\u06cc \u062a\u0635\u0627\u0648\u06cc\u0631 (Image Classification)\u060c \u0633\u06af\u0645\u0646\u062a\u0627\u0633\u06cc\u0648\u0646 \u0645\u0639\u0646\u0627\u06cc\u06cc (Semantic Segmentation) \u0648 \u062a\u0634\u062e\u06cc\u0635 \u0686\u0647\u0631\u0647 \u0631\u0627 \u0645\u06cc\u200c\u0622\u0645\u0648\u0632\u06cc\u062f. \u067e\u0631\u0648\u0698\u0647\u200c\u0647\u0627\u06cc \u0639\u0645\u0644\u06cc \u062f\u0631 \u0627\u06cc\u0646 \u0628\u062e\u0634 \u0628\u0647 \u0634\u0645\u0627 \u06a9\u0645\u06a9 \u0645\u06cc\u200c\u06a9\u0646\u062f \u062a\u0627 \u0627\u06cc\u0646 \u0645\u0647\u0627\u0631\u062a\u200c\u0647\u0627 \u0631\u0627 \u062f\u0631 \u0633\u0646\u0627\u0631\u06cc\u0648\u0647\u0627\u06cc \u0648\u0627\u0642\u0639\u06cc \u0628\u0647 \u06a9\u0627\u0631 \u0628\u06af\u06cc\u0631\u06cc\u062f\u060c \u0645\u0627\u0646\u0646\u062f \u0633\u0627\u062e\u062a \u06cc\u06a9 \u0633\u06cc\u0633\u062a\u0645 \u062a\u0634\u062e\u06cc\u0635 \u0627\u0633\u067e\u0645 \u06cc\u0627 \u06cc\u06a9 \u0645\u062f\u0644 \u0634\u0646\u0627\u0633\u0627\u06cc\u06cc \u0686\u0647\u0631\u0647.<\/p>\n<\/p><\/div>\n

      \n

      6. \u0633\u0627\u062e\u062a \u0648 \u0627\u0633\u062a\u0642\u0631\u0627\u0631 \u0645\u062f\u0644\u200c\u0647\u0627\u06cc \u0647\u0648\u0634 \u0645\u0635\u0646\u0648\u0639\u06cc (Building and Deploying AI Models)<\/h3>\n

      \u062a\u0646\u0647\u0627 \u0633\u0627\u062e\u062a \u0645\u062f\u0644 \u06a9\u0627\u0641\u06cc \u0646\u06cc\u0633\u062a\u061b \u0628\u0644\u06a9\u0647 \u0628\u0627\u06cc\u062f \u0628\u062a\u0648\u0627\u0646\u06cc\u062f \u0622\u0646\u200c\u0647\u0627 \u0631\u0627 \u062f\u0631 \u0645\u062d\u06cc\u0637\u200c\u0647\u0627\u06cc \u062a\u0648\u0644\u06cc\u062f\u06cc \u0628\u0647 \u06a9\u0627\u0631 \u0628\u06af\u06cc\u0631\u06cc\u062f \u0648 \u0645\u062f\u06cc\u0631\u06cc\u062a \u06a9\u0646\u06cc\u062f. \u0627\u06cc\u0646 \u062f\u0648\u0631\u0647 \u0628\u0647 \u0686\u0631\u062e\u0647 \u0639\u0645\u0631 \u062a\u0648\u0633\u0639\u0647 \u0645\u062f\u0644\u200c\u0647\u0627\u06cc \u0647\u0648\u0634 \u0645\u0635\u0646\u0648\u0639\u06cc (MLOps) \u0645\u06cc\u200c\u067e\u0631\u062f\u0627\u0632\u062f. \u0634\u0645\u0627 \u0628\u0627 \u0645\u0641\u0627\u0647\u06cc\u0645\u06cc \u0645\u0627\u0646\u0646\u062f \u0645\u062f\u06cc\u0631\u06cc\u062a \u062f\u0627\u062f\u0647\u200c\u0647\u0627 \u0628\u0631\u0627\u06cc \u0647\u0648\u0634 \u0645\u0635\u0646\u0648\u0639\u06cc\u060c \u0637\u0631\u0627\u062d\u06cc \u0648 \u0645\u0647\u0646\u062f\u0633\u06cc \u0648\u06cc\u0698\u06af\u06cc\u200c\u0647\u0627\u060c \u0627\u0646\u062a\u062e\u0627\u0628 \u0645\u062f\u0644\u060c \u0628\u0647\u06cc\u0646\u0647\u200c\u0633\u0627\u0632\u06cc \u0648 \u0627\u0633\u062a\u0642\u0631\u0627\u0631 \u0645\u062f\u0644\u200c\u0647\u0627 \u062f\u0631 \u0645\u0642\u06cc\u0627\u0633 \u0628\u0632\u0631\u06af<\/span> \u0622\u0634\u0646\u0627 \u0645\u06cc\u200c\u0634\u0648\u06cc\u062f. \u06a9\u0627\u0631 \u0628\u0627 \u0627\u0628\u0632\u0627\u0631\u0647\u0627\u06cc IBM Watson Studio<\/span> \u0648 \u0633\u0627\u06cc\u0631 \u067e\u0644\u062a\u0641\u0631\u0645\u200c\u0647\u0627\u06cc \u0627\u0628\u0631\u06cc \u0628\u0631\u0627\u06cc \u0627\u0633\u062a\u0642\u0631\u0627\u0631 \u0648 \u0646\u0638\u0627\u0631\u062a \u0628\u0631 \u0645\u062f\u0644\u200c\u0647\u0627\u06cc \u0647\u0648\u0634 \u0645\u0635\u0646\u0648\u0639\u06cc\u060c \u0627\u0632 \u062f\u06cc\u06af\u0631 \u0645\u0648\u0636\u0648\u0639\u0627\u062a \u0645\u0647\u0645 \u0627\u06cc\u0646 \u062f\u0648\u0631\u0647 \u0627\u0633\u062a. \u0627\u06cc\u0646 \u0628\u062e\u0634 \u0628\u0647 \u0634\u0645\u0627 \u06a9\u0645\u06a9 \u0645\u06cc\u200c\u06a9\u0646\u062f \u062a\u0627 \u0622\u0645\u0648\u062e\u062a\u0647\u200c\u0647\u0627\u06cc \u062e\u0648\u062f \u0631\u0627 \u0628\u0647 \u0631\u0627\u0647\u200c\u062d\u0644\u200c\u0647\u0627\u06cc \u0639\u0645\u0644\u06cc \u0648 \u0642\u0627\u0628\u0644 \u0627\u0633\u062a\u0641\u0627\u062f\u0647 \u062f\u0631 \u062f\u0646\u06cc\u0627\u06cc \u0648\u0627\u0642\u0639\u06cc \u062a\u0628\u062f\u06cc\u0644 \u06a9\u0646\u06cc\u062f \u0648 \u0686\u0627\u0644\u0634\u200c\u0647\u0627\u06cc \u0645\u0631\u0628\u0648\u0637 \u0628\u0647 \u0646\u06af\u0647\u062f\u0627\u0631\u06cc \u0648 \u0645\u0642\u06cc\u0627\u0633\u200c\u067e\u0630\u06cc\u0631\u06cc \u0645\u062f\u0644\u200c\u0647\u0627 \u0631\u0627 \u062f\u0631\u06a9 \u06a9\u0646\u06cc\u062f.<\/p>\n<\/p><\/div>\n

      \n

      7. \u067e\u0631\u0648\u0698\u0647 \u0646\u0647\u0627\u06cc\u06cc \u06af\u0648\u0627\u0647\u06cc\u0646\u0627\u0645\u0647 \u0647\u0648\u0634 \u0645\u0635\u0646\u0648\u0639\u06cc \u06a9\u0627\u0631\u0628\u0631\u062f\u06cc (Applied AI Capstone Project)<\/h3>\n

      \u062f\u0631 \u067e\u0627\u06cc\u0627\u0646 \u0627\u06cc\u0646 \u06af\u0648\u0627\u0647\u06cc\u0646\u0627\u0645\u0647\u060c \u0634\u0645\u0627 \u06cc\u06a9 \u067e\u0631\u0648\u0698\u0647 \u0646\u0647\u0627\u06cc\u06cc \u062c\u0627\u0645\u0639<\/span> \u0631\u0627 \u062a\u06a9\u0645\u06cc\u0644 \u062e\u0648\u0627\u0647\u06cc\u062f \u06a9\u0631\u062f. \u0627\u06cc\u0646 \u067e\u0631\u0648\u0698\u0647 \u0628\u0647 \u0634\u0645\u0627 \u0641\u0631\u0635\u062a \u0645\u06cc\u200c\u062f\u0647\u062f \u062a\u0627 \u062a\u0645\u0627\u0645 \u0645\u0647\u0627\u0631\u062a\u200c\u0647\u0627 \u0648 \u062f\u0627\u0646\u0634 \u06a9\u0633\u0628 \u0634\u062f\u0647 \u062f\u0631 \u062f\u0648\u0631\u0647\u200c\u0647\u0627\u06cc \u0642\u0628\u0644\u06cc \u0631\u0627 \u062f\u0631 \u06cc\u06a9 \u0633\u0646\u0627\u0631\u06cc\u0648\u06cc \u0648\u0627\u0642\u0639\u06cc \u0647\u0648\u0634 \u0645\u0635\u0646\u0648\u0639\u06cc \u0628\u0647 \u06a9\u0627\u0631 \u0628\u0628\u0631\u06cc\u062f. \u0634\u0645\u0627 \u06cc\u06a9 \u0645\u0633\u0626\u0644\u0647 \u0631\u0627 \u062a\u0639\u0631\u06cc\u0641 \u06a9\u0631\u062f\u0647\u060c \u062f\u0627\u062f\u0647\u200c\u0647\u0627 \u0631\u0627 \u062c\u0645\u0639\u200c\u0622\u0648\u0631\u06cc \u0648 \u067e\u06cc\u0634\u200c\u067e\u0631\u062f\u0627\u0632\u0634 \u0645\u06cc\u200c\u06a9\u0646\u06cc\u062f\u060c \u0645\u062f\u0644\u200c\u0647\u0627\u06cc \u0645\u0646\u0627\u0633\u0628 \u0631\u0627 (\u0628\u0627 \u0627\u0633\u062a\u0641\u0627\u062f\u0647 \u0627\u0632 \u06cc\u0627\u062f\u06af\u06cc\u0631\u06cc \u0645\u0627\u0634\u06cc\u0646 \u06cc\u0627 \u06cc\u0627\u062f\u06af\u06cc\u0631\u06cc \u0639\u0645\u06cc\u0642) \u0627\u0646\u062a\u062e\u0627\u0628 \u0648 \u0622\u0645\u0648\u0632\u0634 \u0645\u06cc\u200c\u062f\u0647\u06cc\u062f\u060c \u0648 \u062f\u0631 \u0646\u0647\u0627\u06cc\u062a \u0645\u062f\u0644 \u062e\u0648\u062f \u0631\u0627 \u0627\u0631\u0632\u06cc\u0627\u0628\u06cc \u0648 \u0627\u0633\u062a\u0642\u0631\u0627\u0631 \u0645\u06cc\u200c\u062f\u0647\u06cc\u062f. \u0627\u06cc\u0646 \u067e\u0631\u0648\u0698\u0647 \u0646\u0647 \u062a\u0646\u0647\u0627 \u0628\u0647 \u0639\u0646\u0648\u0627\u0646 \u06cc\u06a9 \u0646\u0645\u0648\u0646\u0647 \u06a9\u0627\u0631 \u0642\u062f\u0631\u062a\u0645\u0646\u062f \u0648 \u0642\u0627\u0628\u0644 \u0627\u0631\u0627\u0626\u0647 \u0628\u0631\u0627\u06cc \u0631\u0632\u0648\u0645\u0647 \u0634\u0645\u0627 \u0639\u0645\u0644 \u0645\u06cc\u200c\u06a9\u0646\u062f\u060c \u0628\u0644\u06a9\u0647 \u062a\u062c\u0631\u0628\u0647 \u0627\u0631\u0632\u0634\u0645\u0646\u062f\u06cc \u062f\u0631 \u062d\u0644 \u0645\u0633\u0627\u0626\u0644 \u067e\u0627\u06cc\u0627\u0646 \u0628\u0647 \u067e\u0627\u06cc\u0627\u0646 (End-to-End) \u0647\u0648\u0634 \u0645\u0635\u0646\u0648\u0639\u06cc \u0628\u0647 \u0634\u0645\u0627 \u0645\u06cc\u200c\u062f\u0647\u062f \u0648 \u0622\u0645\u0627\u062f\u06af\u06cc \u0634\u0645\u0627 \u0631\u0627 \u0628\u0631\u0627\u06cc \u0648\u0631\u0648\u062f \u0628\u0647 \u0628\u0627\u0632\u0627\u0631 \u06a9\u0627\u0631 \u062a\u0627\u06cc\u06cc\u062f \u0645\u06cc\u200c\u06a9\u0646\u062f.<\/p>\n<\/p><\/div>\n

      \n

      \u0646\u06a9\u0627\u062a \u0628\u0631\u062c\u0633\u062a\u0647 \u0627\u06cc\u0646 \u0628\u0631\u0646\u0627\u0645\u0647 \u0622\u0645\u0648\u0632\u0634\u06cc<\/h2>\n
        \n
      • \u0631\u0648\u06cc\u06a9\u0631\u062f \u0639\u0645\u0644\u06cc \u0648 \u067e\u0631\u0648\u0698\u0647 \u0645\u062d\u0648\u0631:<\/strong> \u062a\u0627\u06a9\u06cc\u062f \u0628\u0631 \u06cc\u0627\u062f\u06af\u06cc\u0631\u06cc \u0627\u0632 \u0637\u0631\u06cc\u0642 \u0639\u0645\u0644 \u0648 \u0627\u0646\u062c\u0627\u0645 \u067e\u0631\u0648\u0698\u0647\u200c\u0647\u0627\u06cc \u0648\u0627\u0642\u0639\u06cc\u060c \u0628\u0647 \u062c\u0627\u06cc \u0635\u0631\u0641\u0627\u064b \u062a\u0626\u0648\u0631\u06cc.<\/li>\n
      • \u0641\u0646\u0627\u0648\u0631\u06cc\u200c\u0647\u0627\u06cc \u0628\u0647\u200c\u0631\u0648\u0632 \u0648 \u0635\u0646\u0639\u062a\u06cc:<\/strong> \u0627\u0633\u062a\u0641\u0627\u062f\u0647 \u0648 \u0622\u0645\u0648\u0632\u0634 \u062c\u062f\u06cc\u062f\u062a\u0631\u06cc\u0646 \u0627\u0628\u0632\u0627\u0631\u0647\u0627 \u0648 \u0641\u0631\u06cc\u0645\u200c\u0648\u0631\u06a9\u200c\u0647\u0627\u06cc \u0645\u0648\u0631\u062f \u0627\u0633\u062a\u0641\u0627\u062f\u0647 \u062f\u0631 \u0635\u0646\u0639\u062a \u0647\u0648\u0634 \u0645\u0635\u0646\u0648\u0639\u06cc.<\/li>\n
      • \u067e\u0634\u062a\u06cc\u0628\u0627\u0646\u06cc \u0648 \u062a\u062e\u0635\u0635 IBM:<\/strong> \u0628\u0647\u0631\u0647\u200c\u0645\u0646\u062f\u06cc \u0627\u0632 \u062a\u062c\u0631\u0628\u0647 \u0648 \u062f\u0627\u0646\u0634 \u0645\u062a\u062e\u0635\u0635\u0627\u0646 \u0648 \u0645\u0647\u0646\u062f\u0633\u0627\u0646 \u0628\u0631\u062c\u0633\u062a\u0647 IBM.<\/li>\n
      • \u0645\u0633\u06cc\u0631 \u0634\u063a\u0644\u06cc \u0631\u0648\u0634\u0646:<\/strong> \u0622\u0645\u0627\u062f\u0647\u200c\u0633\u0627\u0632\u06cc \u0647\u062f\u0641\u0645\u0646\u062f \u0628\u0631\u0627\u06cc \u0627\u06cc\u0641\u0627\u06cc \u0646\u0642\u0634\u200c\u0647\u0627\u06cc \u067e\u0631\u062a\u0642\u0627\u0636\u0627 \u0648 \u06a9\u0644\u06cc\u062f\u06cc \u062f\u0631 \u0628\u0627\u0632\u0627\u0631 \u06a9\u0627\u0631 \u0647\u0648\u0634 \u0645\u0635\u0646\u0648\u0639\u06cc.<\/li>\n
      • \u0627\u0646\u0639\u0637\u0627\u0641\u200c\u067e\u0630\u06cc\u0631\u06cc \u062f\u0631 \u06cc\u0627\u062f\u06af\u06cc\u0631\u06cc:<\/strong> \u0627\u0645\u06a9\u0627\u0646 \u06cc\u0627\u062f\u06af\u06cc\u0631\u06cc \u0628\u0627 \u0633\u0631\u0639\u062a \u062f\u0644\u062e\u0648\u0627\u0647 \u0634\u0645\u0627 \u0648 \u0647\u0645\u0627\u0647\u0646\u06af \u0628\u0627 \u0628\u0631\u0646\u0627\u0645\u0647 \u0632\u0645\u0627\u0646\u06cc \u0634\u062e\u0635\u06cc.<\/li>\n<\/ul><\/div>\n

        \u06af\u0648\u0627\u0647\u06cc\u0646\u0627\u0645\u0647 \u062d\u0631\u0641\u0647\u200c\u0627\u06cc \u0647\u0648\u0634 \u0645\u0635\u0646\u0648\u0639\u06cc \u06a9\u0627\u0631\u0628\u0631\u062f\u06cc IBM \u0627\u0632 Coursera \u06cc\u06a9 \u0633\u0631\u0645\u0627\u06cc\u0647\u200c\u06af\u0630\u0627\u0631\u06cc \u0627\u0631\u0632\u0634\u0645\u0646\u062f \u0628\u0631\u0627\u06cc \u0622\u06cc\u0646\u062f\u0647 \u0634\u063a\u0644\u06cc \u0634\u0645\u0627\u0633\u062a. \u0627\u06cc\u0646 \u0628\u0631\u0646\u0627\u0645\u0647 \u0628\u0627 \u0631\u0648\u06cc\u06a9\u0631\u062f \u062c\u0627\u0645\u0639\u060c \u0639\u0645\u0644\u06cc \u0648 \u0628\u0647\u200c\u0631\u0648\u0632 \u062e\u0648\u062f\u060c \u0634\u0645\u0627 \u0631\u0627 \u0628\u0647 \u0645\u0647\u0627\u0631\u062a\u200c\u0647\u0627 \u0648 \u062f\u0627\u0646\u0634 \u0644\u0627\u0632\u0645 \u0628\u0631\u0627\u06cc \u062a\u0628\u062f\u06cc\u0644 \u0634\u062f\u0646 \u0628\u0647 \u06cc\u06a9 \u0645\u062a\u062e\u0635\u0635 \u0647\u0648\u0634 \u0645\u0635\u0646\u0648\u0639\u06cc \u06a9\u0627\u0631\u0628\u0631\u062f\u06cc \u0645\u062c\u0647\u0632 \u0645\u06cc\u200c\u06a9\u0646\u062f. \u0686\u0647 \u0628\u0647 \u062f\u0646\u0628\u0627\u0644 \u062a\u063a\u06cc\u06cc\u0631 \u0645\u0633\u06cc\u0631 \u0634\u063a\u0644\u06cc \u0628\u0647 \u0633\u0645\u062a \u062d\u0648\u0632\u0647\u200c\u0647\u0627\u06cc \u062c\u0630\u0627\u0628 \u0647\u0648\u0634 \u0645\u0635\u0646\u0648\u0639\u06cc \u0628\u0627\u0634\u06cc\u062f\u060c \u0686\u0647 \u0628\u062e\u0648\u0627\u0647\u06cc\u062f \u0645\u0647\u0627\u0631\u062a\u200c\u0647\u0627\u06cc \u0641\u0639\u0644\u06cc \u062e\u0648\u062f \u0631\u0627 \u0627\u0631\u062a\u0642\u0627 \u062f\u0647\u06cc\u062f \u0648 \u062f\u0631 \u062c\u0627\u06cc\u06af\u0627\u0647 \u0634\u063a\u0644\u06cc \u062e\u0648\u062f \u067e\u06cc\u0634\u0631\u0641\u062a \u06a9\u0646\u06cc\u062f\u060c \u0627\u06cc\u0646 \u06af\u0648\u0627\u0647\u06cc\u0646\u0627\u0645\u0647 \u0645\u06cc\u200c\u062a\u0648\u0627\u0646\u062f \u067e\u0644\u0647\u200c\u0627\u06cc \u0645\u062d\u06a9\u0645 \u0648 \u0645\u0637\u0645\u0626\u0646 \u0628\u0631\u0627\u06cc \u0645\u0648\u0641\u0642\u06cc\u062a \u0634\u0645\u0627 \u062f\u0631 \u062f\u0646\u06cc\u0627\u06cc \u0647\u06cc\u062c\u0627\u0646\u200c\u0627\u0646\u06af\u06cc\u0632 \u0648 \u067e\u0631\u0631\u0642\u0627\u0628\u062a \u0647\u0648\u0634 \u0645\u0635\u0646\u0648\u0639\u06cc \u0628\u0627\u0634\u062f.<\/p>\n<\/article>\n","protected":false},"excerpt":{"rendered":"

        \u0646\u0627\u0645 \u0645\u062d\u0635\u0648\u0644 \u0628\u0647 \u0627\u0646\u06af\u0644\u06cc\u0633\u06cc \u062f\u0627\u0646\u0644\u0648\u062f Coursera – IBM Applied AI Professional Certificate 2024-1 – \u062f\u0627\u0646\u0644\u0648\u062f \u0631\u0627\u06cc\u06af\u0627\u0646 \u0646\u0631\u0645 \u0627\u0641\u0632\u0627\u0631 \u0646\u0627\u0645 \u0645\u062d\u0635\u0648\u0644 […]<\/p>\n","protected":false},"featured_media":67493,"comment_status":"open","ping_status":"closed","template":"","meta":{"pmpro_default_level":"","site-sidebar-layout":"default","site-content-layout":"","ast-site-content-layout":"","site-content-style":"default","site-sidebar-style":"default","ast-global-header-display":"","ast-banner-title-visibility":"","ast-main-header-display":"","ast-hfb-above-header-display":"","ast-hfb-below-header-display":"","ast-hfb-mobile-header-display":"","site-post-title":"","ast-breadcrumbs-content":"","ast-featured-img":"","footer-sml-layout":"","theme-transparent-header-meta":"","adv-header-id-meta":"","stick-header-meta":"","header-above-stick-meta":"","header-main-stick-meta":"","header-below-stick-meta":"","astra-migrate-meta-layouts":"default","ast-page-background-enabled":"default","ast-page-background-meta":{"desktop":{"background-color":"var(--ast-global-color-4)","background-image":"","background-repeat":"repeat","background-position":"center center","background-size":"auto","background-attachment":"scroll","background-type":"","background-media":"","overlay-type":"","overlay-color":"","overlay-gradient":""},"tablet":{"background-color":"","background-image":"","background-repeat":"repeat","background-position":"center center","background-size":"auto","background-attachment":"scroll","background-type":"","background-media":"","overlay-type":"","overlay-color":"","overlay-gradient":""},"mobile":{"background-color":"","background-image":"","background-repeat":"repeat","background-position":"center center","background-size":"auto","background-attachment":"scroll","background-type":"","background-media":"","overlay-type":"","overlay-color":"","overlay-gradient":""}},"ast-content-background-meta":{"desktop":{"background-color":"var(--ast-global-color-5)","background-image":"","background-repeat":"repeat","background-position":"center center","background-size":"auto","background-attachment":"scroll","background-type":"","background-media":"","overlay-type":"","overlay-color":"","overlay-gradient":""},"tablet":{"background-color":"var(--ast-global-color-5)","background-image":"","background-repeat":"repeat","background-position":"center center","background-size":"auto","background-attachment":"scroll","background-type":"","background-media":"","overlay-type":"","overlay-color":"","overlay-gradient":""},"mobile":{"background-color":"var(--ast-global-color-5)","background-image":"","background-repeat":"repeat","background-position":"center center","background-size":"auto","background-attachment":"scroll","background-type":"","background-media":"","overlay-type":"","overlay-color":"","overlay-gradient":""}}},"product_cat":[1225],"product_tag":[4539,41884,1152,1677,2500,62140,107,1455,1154,1840,41900,63209,19,6671,1456,1120,1668,37677,4208,1183,63207,910,1450,1452,63208,261,12690,674,267],"class_list":{"0":"post-112045","1":"product","2":"type-product","3":"status-publish","4":"has-post-thumbnail","6":"product_cat-1225","7":"product_tag-2024-ai-course","8":"product_tag-ai-certificate","9":"product_tag-ai-course","10":"product_tag-ai-development","11":"product_tag-ai-training","12":"product_tag-applied-ai","13":"product_tag-artificial-intelligence","14":"product_tag-coursera","15":"product_tag-data-science","16":"product_tag-deep-learning","17":"product_tag-ibm","18":"product_tag-ibm-ai-course","19":"product_tag-machine-learning","20":"product_tag-online-education","21":"product_tag-professional-certificate","22":"product_tag-1120","23":"product_tag-1668","24":"product_tag-37677","25":"product_tag-4208","26":"product_tag-1183","27":"product_tag-63207","28":"product_tag-910","29":"product_tag-1450","30":"product_tag-1452","31":"product_tag--ibm","32":"product_tag-261","33":"product_tag-12690","34":"product_tag-674","35":"product_tag-267","36":"pmpro-has-access","37":"desktop-align-left","38":"tablet-align-left","39":"mobile-align-left","41":"first","42":"instock","43":"shipping-taxable","44":"purchasable","45":"product-type-variable"},"yoast_head":"\n\u062f\u0627\u0646\u0644\u0648\u062f \u062f\u0648\u0631\u0647 \u062f\u0627\u0646\u0644\u0648\u062f \u06af\u0648\u0627\u0647\u06cc\u0646\u0627\u0645\u0647 \u062d\u0631\u0641\u0647\u200c\u0627\u06cc \u0647\u0648\u0634 \u0645\u0635\u0646\u0648\u0639\u06cc \u06a9\u0627\u0631\u0628\u0631\u062f\u06cc IBM \u0627\u0632 Coursera 2024-1 - 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