ุฑุฆูŠุณ ู…ุฌู„ุณ ุงู„ุฅุฏุงุฑุฉ ูˆุฑุฆูŠุณ ุงู„ุชุญุฑูŠุฑ ุฃุญู…ุฏ ุญู…ุฏูŠ

ูƒูˆุฑุณ Computer Vision With Ultralytics: A Full Practical Course ( ) ๐Ÿš€

๐Ÿ‘ค Ultralytics ๐ŸŽฌ 57 ุฏุฑุณ โฑ๏ธ 7 ุณุงุนุฉ 41 ุฏู‚ูŠู‚ุฉ ๐Ÿ“ถ ู…ุจุชุฏุฆ ๐Ÿ‡บ๐Ÿ‡ธ English
Ultralytics YOLO26: Built End-to-End. Built for th
๐Ÿ†ุฃูˆุงุฆู„ ุฃูƒุงุฏูŠู…ูŠุฉ ู…ุตุฑ 24ุงุชุนู„ู‘ู… ูƒู„ ูŠูˆู… ูˆู†ุงูุณ ุนู„ู‰ ุงู„ุชุงุฌ ๐Ÿ‘‘ุงู„ุชุฑุชูŠุจ โ†
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ูƒูˆุฑุณ Computer Vision With Ultralytics: A Full Practical Course ( ) ๐Ÿš€
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02 ุฃูƒุชูˆุจุฑ 2026
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ุฑู‚ู… ุชุญู‚ู‚ ุงู„ุดู‡ุงุฏุฉ
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ุดุงู‡ุฏ 50% ู…ู† ุงู„ูƒูˆุฑุณ ูˆุงุญุตู„ ุนู„ู‰ ุดู‡ุงุฏุฉ ุฅุชู…ุงู… ุจุงุณู…ูƒ

โœ… ุชุชุจุน ุชู‚ุฏู…ูƒ ููŠ ุงู„ูƒูˆุฑุณ
๐Ÿ† ุดู‡ุงุฏุฉ ู…ุฌุงู†ูŠุฉ ุนู†ุฏ ุงู„ุฅุชู…ุงู…
๐Ÿ“Š ุฅุญุตุงุฆูŠุงุชูƒ ู…ุญููˆุธุฉ ุฏุงุฆู…ุงู‹
๐Ÿ”– ุงุณุชูƒู…ู„ ู…ู† ุญูŠุซ ุชูˆู‚ูุช

ุฅู†ุดุงุก ุญุณุงุจ ู…ุฌุงู†ูŠ ูŠุฃุฎุฐ ุซูˆุงู†ู ูู‚ุท

๐Ÿ“‹ ู…ุญุชูˆู‰ ุงู„ูƒูˆุฑุณ 57 ุฏุฑุณ ยท 7 ุณุงุนุฉ 41 ุฏู‚ูŠู‚ุฉ
  • 1 Ultralytics YOLO26: Built End-to-End. Built for the Edge. ๐Ÿš€ 0:24
  • 2 How to Train Ultralytics YOLO26 Model on Custom Dataset using Google Colab Notebook | Step-by-Step ๐Ÿš€ 12:56
  • 3 How to Export Ultralytics YOLO26 in different formats for Deployment | ONNX, TensorRT, CoreML ๐Ÿš€ 7:56
  • 4 How to Benchmark Ultralytics YOLO26 Models | How to Compare Model Performance on Different Hardware? 9:50
  • 5 How to Run Multi-Object Tracking with Ultralytics YOLO26 | BoT-SORT & ByteTrack | VisionAI ๐Ÿš€ 7:47
  • 6 How to Train a Crack Segmentation Model using Ultralytics YOLO26 | AI in Construction ๐ŸŽ‰ 5:32
  • 7 How to Perform Real-Time Object Counting with Ultralytics YOLO26 | Industrial Packages | Logistics ๐Ÿš€ 6:06
  • 8 Ultralytics YOLO26 vs Ultralytics YOLO11 ONNX Inference Test | ~43% Faster Inference with YOLO26 ๐Ÿš€ 9:19
  • 9 How to Detect & Track Objects with Ultralytics YOLO26 Oriented Bounding Boxes (OBB) | Ship Tracking 7:18
  • 10 How to Train Ultralytics YOLO26 on the African Wildlife Dataset | Inference, Metrics & ONNX Export ๐Ÿ˜ 10:27
  • 11 How to use Ultralytics YOLOE-26 (New) | Open Vocabulary & Real-Time Seeing Anything | Promptable ๐Ÿš€ 8:38
  • 12 How to Run Real-Time Pose Estimation with Ultralytics YOLO26 | Tracking & Keypoints Extraction ๐Ÿ•บ 6:14
  • 13 How to Forecast Object Trajectories with Ultralytics YOLO26 | MovingPandas + ByteTrack | VisionAI ๐Ÿš€ 13:00
  • 14 How to Get up to 1000 FPS with Ultralytics YOLO26 on NVIDIA DGX Spark | TensorRT & Batch Inference ๐Ÿš€ 10:17
  • 15 How to Train Ultralytics YOLO26 on Caltech-256 Dataset | Image Classification | Top 1 - Top 5 Acc ๐Ÿš€ 6:58
  • 16 How to Build an Automatic Number Plate Recognition System using Ultralytics Platform | EasyOCR ๐Ÿš— 10:04
  • 17 Ultralytics YOLO26 vs MediaPipe Pose Estimation | Accuracy, Speed & Real-Time Comparison | Vision AI 9:00
  • 18 How to Train Face Detection Model using Ultralytics Platform & Blur Faces | Ultralytics YOLO26 ๐Ÿš€ 8:43
  • 19 How to Run Multi-Stream Inference with Ultralytics YOLO26 using NVIDIA DeepStream on Jetson Orin ๐Ÿš€ 13:03
  • 20 How to Build a Parking Management System with Ultralytics YOLO26 | Real-Time Spot Detection ๐Ÿš— 6:20
  • 21 How to Build a Fall Detection System using Ultralytics Platform | Email Alerts | Ultralytics YOLO26 12:08
  • 22 How to Segment Carparts with Ultralytics Platform | Train, Deploy & Inference | Ultralytics YOLO26 ๐Ÿš€ 7:11
  • 23 How to Build a Live Inference App with Ultralytics YOLO26 & Streamlit | Detection & Segmentation ๐Ÿš€ 5:42
  • 24 Brain Tumor Detection using Ultralytics Platform with Ultralytics YOLO26 | Object Detection ๐Ÿš€ 10:09
  • 25 How to use SAHI with Ultralytics YOLO26 to Detect Small Objects | Slicing Aided Hyper Inference ๐Ÿš€ 10:18
  • 26 Football Players Detection using Ultralytics Platform & Player Tracking using Ultralytics package ๐Ÿš€ 9:24
  • 27 How to Detect Welding Defects with Ultralytics YOLO26 using Ultralytics Platform | Industrial AI ๐Ÿš€ 10:23
  • 28 How to Build a Drowsiness Detection System with Ultralytics Platform | Driver Monitoring ๐Ÿš—๐Ÿ˜ด 6:49
  • 29 How to Use Depth Anything 3 for Monocular Depth Estimation | Ultralytics Tutorial | Vision AI ๐Ÿš€ 8:14
  • 30 LightOn-OCR Usage | Fast VLM-Based OCR for Accurate Text Extraction | Document Processing ๐Ÿš€ 9:41
  • 31 How to Detect a Forklift with Ultralytics YOLO26 using Ultralytics Platform | Train & Run Inference๐Ÿšœ 6:34
  • 32 How to Train Ultralytics YOLO26 Semantic Segmentation Model on Custom Dataset | Ultralytics Platform 7:09
  • 33 PCB Defect Detection with Ultralytics YOLO26 | Ultralytics Platform | Quality Inspection โš™๏ธ 9:06
  • 34 Deploy Ultralytics YOLO26 in a Browser with Gradio | Complete Tutorial | Vision AI ๐ŸŒ 6:38
  • 35 @PyTorch vs @TensorFlow in 2026 | Which Deep Learning Framework Should You Choose? | Vision AI ๐Ÿค” 10:06
  • 36 Escalator Occupancy Analytics with Ultralytics YOLO26 | People Counting in Zones | AI in Retail ๐Ÿ“Š 8:06
  • 37 How to train Ultralytics YOLO26 on the VisDrone Dataset using the Ultralytics Platform | Vision AI ๐Ÿš 8:51
  • 38 How to Train Ultralytics YOLO26 to Detect Every Product on a Retail Shelf | SKU-110K ๐Ÿš€๐Ÿ›’ 9:51
  • 39 Real-Time Entrance Analytics with Ultralytics YOLO26 | Customer Tracking & Counting | AI in Retail ๐Ÿš€ 9:14
  • 40 Monocular Depth Estimation with Ultralytics YOLO26 | Python Tutorial | Vision AI ๐Ÿš€ 9:21
  • 41 How to Segment Road Cracks with Ultralytics YOLO26 | VisionAI in Infrastructure Inspection ๐Ÿ›ฃ๏ธ 5:29
  • 42 How to Export Ultralytics YOLO26 to Google LiteRT | Deploy Vision AI on Android & iOS | Mobile AI ๐Ÿ“ฑ๐Ÿš€ 10:09
  • 43 Ultralytics YOLO26 Depth vs Depth Anything V2 | Monocular Depth Estimation Comparison ๐Ÿ‘๏ธ 12:31
  • 44 How to Export Ultralytics YOLO26 to CoreML with INT8 Quantization | @Apple Deployment | iOS/MacOS๐ŸŽ 7:29
  • 45 Ultralytics YOLO26 Computer Vision Tasks | Detection, Segmentation, Pose, OBB, Depth, Classify ๐Ÿš€ 6:42
  • 46 How to Use Gemini Flash 3.6 with Ultralytics Utilities | Object Detection, OCR, Reasoning & More ๐Ÿš€ 7:53
  • 47 How to Build Visual Similarity Search with Ultralytics | Embeddings & Image Retrieval ๐Ÿ” 7:12
  • 48 Build a Computer Vision Database with Ultralytics YOLO26 | Detection, Tracking & SQLite ๐Ÿš€ 12:18
  • 49 How to Detect Vehicles with Orientation using Ultralytics YOLO26 OBB | OBB Training & Inference ๐Ÿš— 7:37
  • 50 How to Speed Up Ultralytics YOLO26 Inference with Intel OpenVINO | PyTorch vs OpenVINO | ~2x Fasterโšก 6:03
  • 51 How to Track Objects in Specific Regions with Ultralytics YOLO26 | Ultralytics TrackZone ๐ŸŽฏ 6:00
  • 52 Which Object Tracker Performs Better? | Speed, FPS & ID Stability | Ultralytics YOLO26 ๐Ÿ“Š 13:45
  • 53 ๐Ÿ„ How to Train a Cow Pose Estimation Model with Ultralytics YOLO26 | 20 Keypoints & Skeleton Links ๐Ÿš€ 7:16
  • 54 How to Create Heatmaps with Ultralytics YOLO26 | Visualize Object Activity | VisionAI in Retail ๐Ÿš€ 6:03
  • 55 Private video
  • 56 Private video
  • 57 Private video
โ–ถ ูŠูุดุบูŽู‘ู„ ุงู„ุขู†
Ultralytics YOLO26: Built End-to-End. Built for the Edge. ๐Ÿš€

๐Ÿ“˜ ู†ุธุฑุฉ ุนุงู…ุฉ ุนู„ู‰ ุงู„ูƒูˆุฑุณ

ุงู„ูƒูˆุฑุณ ู…ู† ุชู‚ุฏูŠู… UltralyticsุŒ ูˆูŠุถู… 57 ุฏุฑุณู‹ุง ุจุฅุฌู…ุงู„ูŠ ู…ุฏุฉ 7 ุณุงุนุงุช ูˆ41 ุฏู‚ูŠู‚ุฉ. ุฃุทูˆู„ ุงู„ุฏุฑูˆุณ ยซWhich Object Tracker Performs Better? - Speed, FPS & ID Stabilityยป ุจู…ุฏุฉ 13 ุฏู‚ูŠู‚ุฉุŒ ูˆู…ุชูˆุณุท ู…ุฏุฉ ุงู„ุฏุฑุณ 8 ุฏู‚ุงุฆู‚. ุฃูˆู„ ู…ุง ุณุชุดุงู‡ุฏู‡ ู‡ูˆ ยซBuilt End-to-End. Built for the EdgeยปุŒ ูˆุขุฎุฑ ู…ุญุทุฉ ููŠ ุงู„ูƒูˆุฑุณ ยซPrivate videoยป. ู„ูˆ ุฎุตุตุช 30 ุฏู‚ูŠู‚ุฉ ูŠูˆู…ูŠู‹ุง ุณุชู†ู‡ูŠ ุงู„ูƒูˆุฑุณ ุฎู„ุงู„ 16 ูŠูˆู…ู‹ุง ุชู‚ุฑูŠุจู‹ุง. ุงู„ู…ุญุชูˆู‰ ู…ูˆุฌู‘ู‡ ุฅู„ู‰ ุงู„ู…ุจุชุฏุฆูŠู† ููŠ ู…ุฌุงู„ ุงู„ุฐูƒุงุก ุงู„ุงุตุทู†ุงุนูŠ ูˆู€ Machine Learning.

ู„ู…ุงุฐุง ุชุชุนู„ู… Computer Vision With Ultralytics: A Full Practical ( )ุŸ

  • ุงู„ุฐูƒุงุก ุงู„ุงุตุทู†ุงุนูŠ ู…ู† ุฃุณุฑุน ุงู„ู…ุฌุงู„ุงุช ู†ู…ูˆุงู‹ ููŠ ุณูˆู‚ ุงู„ุนู…ู„ุŒ ู…ุน ุฒูŠุงุฏุฉ ุงู„ุทู„ุจ ุนู„ู‰ ุงู„ู…ุชุฎุตุตูŠู† ุจู†ุณุจุฉ 300% ุฎู„ุงู„ ุงู„ุณู†ูˆุงุช ุงู„ุฃุฎูŠุฑุฉ.
  • ู…ุฌุงู†ูŠ ุจุงู„ูƒุงู…ู„ โ€” ุงุจุฏุฃ ุงู„ุขู† ุฏูˆู† ุฃูŠ ุฑุณูˆู…
  • ุดู‡ุงุฏุฉ ุฅุชู…ุงู… ุจุงุณู…ูƒ ู…ู† ุฃูƒุงุฏูŠู…ูŠุฉ ู…ุตุฑ ูขูค โ€” ุฃุถูู‡ุง ู„ู€ CV ูˆLinkedIn
  • ุชุนู„ู‘ู… ููŠ ุฃูŠ ูˆู‚ุช โ€” ุจุงู„ุณุฑุนุฉ ุงู„ุชูŠ ุชู†ุงุณุจูƒ
  • ู…ุฌุงู„ุงุช ุงู„ุฐูƒุงุก ุงู„ุงุตุทู†ุงุนูŠ: ุฑุคูŠุฉ ุงู„ุญุงุณุจุŒ ู…ุนุงู„ุฌุฉ ุงู„ู„ุบุฉ ุงู„ุทุจูŠุนูŠุฉุŒ ุงู„ุฑูˆุจูˆุชูŠุงุชุŒ ุงู„ุฃู„ุนุงุจุŒ ุงู„ุชู†ุจุค ูˆุงู„ุชูˆุตูŠุฉ.

ู…ุณุงุฑ ุงู„ุชุนู„ู… ููŠ ู‡ุฐุง ุงู„ูƒูˆุฑุณ

ูŠุณูŠุฑ ุงู„ูƒูˆุฑุณ ุจุชุฑุชูŠุจ ู…ุชุฏุฑู‘ุฌ: Built End-to-End. Built for the Edge โ† Train on Caltech-256 Dataset - Image Classification - Topโ€ฆ โ† Build a Drowsiness Detection System with Platform - Driverโ€ฆ โ† Export Google LiteRT - Deploy Vision AI on Android & iOSโ€ฆ โ† Private video.

ุงู„ู…ุชุทู„ุจุงุช ุงู„ุณุงุจู‚ุฉ

ู„ุง ูŠุญุชุงุฌ ุงู„ูƒูˆุฑุณ ุฎุจุฑุฉ ุณุงุจู‚ุฉ ููŠ ุงู„ุฐูƒุงุก ุงู„ุงุตุทู†ุงุนูŠ ูˆู€ Machine Learningุ› ูŠุจุฏุฃ ู…ุนูƒ ู…ู† ุงู„ุฃุณุงุณูŠุงุช. ูƒู„ ู…ุง ุชุญุชุงุฌู‡: ุฌู‡ุงุฒ ู…ุชุตู„ ุจุงู„ุฅู†ุชุฑู†ุชุŒ ูˆูˆู‚ุช ุซุงุจุช ู„ู„ุชุทุจูŠู‚ ุจุนุฏ ูƒู„ ุฏุฑุณ.

ุฃูˆู„ ุฏุฑุณ ููŠ ุงู„ูƒูˆุฑุณ: ยซBuilt End-to-End. Built for the Edgeยป.

ุงู„ุฃุฏูˆุงุช ุงู„ู…ุณุชุฎุฏู…ุฉ ููŠ ุงู„ูƒูˆุฑุณ

  • Python
  • TensorFlow
  • PyTorch

ุฃุฏูˆุงุช ุฃุฎุฑู‰ ุดุงุฆุนุฉ ููŠ ู…ุฌุงู„ ุงู„ุฐูƒุงุก ุงู„ุงุตุทู†ุงุนูŠ ูˆู€ Machine Learning: ScikitุŒ JupyterุŒ KerasุŒ Hugging Face.

ู…ุง ุชุญุชุงุฌู‡ ู„ุชุทุจูŠู‚ ุงู„ูƒูˆุฑุณ

  • ู„ุงุจุชูˆุจ ุจุฑุงู… 16 ุฌูŠุฌุง
  • ูƒุงุฑุช ุดุงุดุฉ NVIDIA ู…ููŠุฏ ููŠ ุชุฏุฑูŠุจ ุงู„ู†ู…ุงุฐุฌุŒ ูˆูŠู…ูƒู† ุงู„ุงุณุชุบู†ุงุก ุนู†ู‡ ุจู€ Google Colab ุงู„ู…ุฌุงู†ูŠ

ุงู„ูˆุธุงุฆู ุงู„ู…ุฑุชุจุทุฉ ุจู‡ุฐุง ุงู„ูƒูˆุฑุณ

  • ุนุงู„ู… ุจูŠุงู†ุงุช: ุจู†ุงุก ู†ู…ุงุฐุฌ ุงู„ุชุนู„ู… ุงู„ุขู„ูŠ ูˆุงุณุชุฎุฑุงุฌ ุงู„ุชูˆู‚ุนุงุช ู…ู† ุงู„ุจูŠุงู†ุงุช
  • ู…ุจุฑู…ุฌ ุจุงูŠุซูˆู†: ุชุทูˆูŠุฑ ุงู„ุจุฑุงู…ุฌ ูˆุงู„ุฃุชู…ุชุฉ ูˆุชุญู„ูŠู„ ุงู„ุจูŠุงู†ุงุช ุจู„ุบุฉ ุจุงูŠุซูˆู†
  • ู…ุญู„ู„ ุจูŠุงู†ุงุช: ุชู†ุธูŠู ุงู„ุจูŠุงู†ุงุช ูˆุชุญู„ูŠู„ู‡ุง ูˆุนุฑุถู‡ุง ููŠ ุชู‚ุงุฑูŠุฑ ูˆู„ูˆุญุงุช ุชุญูƒู…

ู…ุชูˆุณุท ุฑูˆุงุชุจ ุนุงู„ู… ุจูŠุงู†ุงุช ููŠ 2026

  • ู…ุตุฑ: 12,829 โ€“ 81,126 ุฌู†ูŠู‡ ุดู‡ุฑูŠู‹ุง
  • ุงู„ุณุนูˆุฏูŠุฉ: 6,960 โ€“ 27,851 ุฑูŠุงู„ ุดู‡ุฑูŠู‹ุง
  • ุงู„ุฅู…ุงุฑุงุช: 13,590 โ€“ 45,459 ุฏุฑู‡ู… ุดู‡ุฑูŠู‹ุง

ูˆู„ู„ู…ู‚ุงุฑู†ุฉ: ู…ุจุฑู…ุฌ ุจุงูŠุซูˆู† ููŠ ู…ุตุฑ 11,258 โ€“ 41,679 ุฌู†ูŠู‡ุŒ ูˆู…ุญู„ู„ ุจูŠุงู†ุงุช ููŠ ู…ุตุฑ 10,564 โ€“ 44,689 ุฌู†ูŠู‡.

ุฃุฑู‚ุงู… ุดู‡ุฑูŠุฉ ุชู‚ุฑูŠุจูŠุฉ ู…ู† ุจูŠุงู†ุงุช PaylabุŒ ุขุฎุฑ ู…ุฑุงุฌุนุฉ ุณุจุชู…ุจุฑ 2026. ุงู„ุฑุงุชุจ ุงู„ูุนู„ูŠ ูŠุฎุชู„ู ุญุณุจ ุงู„ุฎุจุฑุฉ ูˆุงู„ู…ุฏูŠู†ุฉ ูˆุงู„ุดุฑูƒุฉ.

ูƒู… ู…ู† ุงู„ูˆู‚ุช ุชุญุชุงุฌ ู„ุฅุชู‚ุงู† Computer Vision With Ultralytics: A Full Practical ( )ุŸ

ุฅุฌู…ุงู„ูŠ ู…ุฏุฉ ุงู„ุฏุฑูˆุณ ุงู„ูุนู„ูŠุฉ: 7 ุณุงุนุงุช ูˆ41 ุฏู‚ูŠู‚ุฉ. ุฅุฐุง ุฎุตุตุช 30 ุฏู‚ูŠู‚ุฉ ูŠูˆู…ูŠู‹ุง ุณุชู†ู‡ูŠู‡ ููŠ 16 ูŠูˆู…ู‹ุงุŒ ูˆุจุณุงุนุฉ ูŠูˆู…ูŠู‹ุง ููŠ 8 ุฃูŠุงู…. ูˆู…ุน ุงู„ุชุทุจูŠู‚ ุงู„ุนู…ู„ูŠ ูˆุฅุนุงุฏุฉ ุงู„ู…ุดุงู‡ุฏุฉ ุงุญุณุจ ุถุนู ุงู„ู…ุฏุฉ ุชู‚ุฑูŠุจู‹ุงุŒ ูุงู„ุฅุชู‚ุงู† ูŠุฃุชูŠ ู…ู† ุงู„ุชุทุจูŠู‚ ูˆู„ูŠุณ ู…ู† ุงู„ู…ุดุงู‡ุฏุฉ ูˆุญุฏู‡ุง.

ุดู‡ุงุฏุงุช ู…ู‡ู†ูŠุฉ ูŠู…ูƒู†ูƒ ุงู„ุชู‚ุฏู… ู„ู‡ุง ู„ุงุญู‚ู‹ุง ููŠ ู…ุฌุงู„ ุงู„ุฐูƒุงุก ุงู„ุงุตุทู†ุงุนูŠ ูˆู€ Machine Learning

ุดู‡ุงุฏุงุช ุฏูˆู„ูŠุฉ ู…ุณุชู‚ู„ุฉ ู„ุง ูŠู…ู†ุญู‡ุง ู‡ุฐุง ุงู„ูƒูˆุฑุณุŒ ู„ูƒู†ู‡ ุฎุทูˆุฉ ู†ุญูˆู‡ุง.

  • Google Cloud Professional Machine Learning Engineer
  • Microsoft Certified: Azure AI Engineer Associate
  • AWS Certified Machine Learning Engineer โ€“ Associate

ู…ุดุงุฑูŠุน ุดุงุฆุนุฉ ููŠ ู…ุฌุงู„ ุงู„ุฐูƒุงุก ุงู„ุงุตุทู†ุงุนูŠ ูˆู€ Machine Learning

  • Image Classifier
  • Chatbot
  • Recommendation System
  • Object Detection
  • Sentiment Analysis

ู…ุงุฐุง ุจุนุฏ ู‡ุฐุง ุงู„ูƒูˆุฑุณุŸ

ุจุนุฏ ุฅุชู…ุงู… ุงู„ูƒูˆุฑุณุŒ ูŠููˆุตู‰ ุจุงู„ุชุนู…ู‚ ููŠ: LLMsุŒ Computer VisionุŒ NLPุŒ MLOpsุŒ Generative AI.

ุงู„ุฃู‚ุณุงู… ุงู„ุฌุงู…ุนูŠุฉ ุฐุงุช ุงู„ุตู„ุฉ

  • ูƒู„ูŠุฉ ุงู„ุญุงุณุจุงุช ูˆุงู„ู…ุนู„ูˆู…ุงุช (ู‚ุณู… ุงู„ุฐูƒุงุก ุงู„ุงุตุทู†ุงุนูŠ)
  • ูƒู„ูŠุงุช ุงู„ุฐูƒุงุก ุงู„ุงุตุทู†ุงุนูŠ
  • ูƒู„ูŠุฉ ุงู„ู‡ู†ุฏุณุฉ (ู‚ุณู… ุงู„ุญุงุณุจุงุช)
U
ุงู„ู…ุฏุฑู‘ุณ / ุงู„ู‚ู†ุงุฉ
Ultralytics
๐ŸŽฌ
ุนุฏุฏ ุงู„ุฏุฑูˆุณ
57 ุฏุฑุณ
โฑ๏ธ
ุงู„ู…ุฏุฉ ุงู„ุฅุฌู…ุงู„ูŠุฉ
7 ุณุงุนุฉ 41 ุฏู‚ูŠู‚ุฉ
๐Ÿ“ถ
ุงู„ู…ุณุชูˆู‰
ู…ุจุชุฏุฆ
๐ŸŒ
ุงู„ู„ุบุฉ
English
๐ŸŽ“
ุงู„ุดู‡ุงุฏุฉ
ุดู‡ุงุฏุฉ ุฅุชู…ุงู… ุจุงุณู…ูƒ
โœ…
ุงู„ู…ุชุทู„ุจุงุช
ู„ุง ุชูˆุฌุฏ ู…ุชุทู„ุจุงุช ู…ุณุจู‚ุฉ
๐Ÿ“‚
ุงู„ุชุตู†ูŠู
ุงู„ุฐูƒุงุก ุงู„ุงุตุทู†ุงุนูŠ ูˆู€ Machine Learning

๐ŸŽฏ ู…ุงุฐุง ุณุชุชุนู„ู… ููŠ ู‡ุฐุง ุงู„ูƒูˆุฑุณ

โœ“
Built End-to-End. Built for the Edge
โœ“
Train Model on Custom Dataset using Google Colab Notebook - Step-by-Step
โœ“
Export in different formats for Deployment - ONNX, TensorRT, CoreML
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Benchmark Models - Compare Model Performance on Different Hardware?
โœ“
Run Multi-Object Tracking - BoT-SORT & ByteTrack - VisionAI
โœ“
Train a Crack Segmentation Model using - AI in Construction
โœ“
Perform Real-Time Object Counting - Industrial Packages - Logistics
โœ“
vs YOLO11 ONNX Inference Test - ~43% Faster Inference
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+ 47 ู…ูˆุถูˆุนู‹ุง ุขุฎุฑ ุฏุงุฎู„ ุงู„ูƒูˆุฑุณ

๐Ÿ’ผ ูˆุธุงุฆู ู…ุฑุชุจุทุฉ ุจู‡ุฐุง ุงู„ูƒูˆุฑุณ

๐Ÿ’ผ
ุนุงู„ู… ุจูŠุงู†ุงุช
ุจู†ุงุก ู†ู…ุงุฐุฌ ุงู„ุชุนู„ู… ุงู„ุขู„ูŠ ูˆุงุณุชุฎุฑุงุฌ ุงู„ุชูˆู‚ุนุงุช ู…ู† ุงู„ุจูŠุงู†ุงุช
๐Ÿ’ฐ ู…ุตุฑ: 13โ€“81 ุฃู„ู ุฌ.ู… ยท ุงู„ุณุนูˆุฏูŠุฉ: 7โ€“28 ุฃู„ู ุฑ.ุณ
๐Ÿ’ผ
ู…ุจุฑู…ุฌ ุจุงูŠุซูˆู†
ุชุทูˆูŠุฑ ุงู„ุจุฑุงู…ุฌ ูˆุงู„ุฃุชู…ุชุฉ ูˆุชุญู„ูŠู„ ุงู„ุจูŠุงู†ุงุช ุจู„ุบุฉ ุจุงูŠุซูˆู†
๐Ÿ’ฐ ู…ุตุฑ: 11โ€“42 ุฃู„ู ุฌ.ู… ยท ุงู„ุณุนูˆุฏูŠุฉ: 7.5โ€“30 ุฃู„ู ุฑ.ุณ
๐Ÿ’ผ
ู…ุญู„ู„ ุจูŠุงู†ุงุช
ุชู†ุธูŠู ุงู„ุจูŠุงู†ุงุช ูˆุชุญู„ูŠู„ู‡ุง ูˆุนุฑุถู‡ุง ููŠ ุชู‚ุงุฑูŠุฑ ูˆู„ูˆุญุงุช ุชุญูƒู…
๐Ÿ’ฐ ู…ุตุฑ: 11โ€“45 ุฃู„ู ุฌ.ู… ยท ุงู„ุณุนูˆุฏูŠุฉ: 6โ€“18 ุฃู„ู ุฑ.ุณ

โ“ ุฃุณุฆู„ุฉ ุดุงุฆุนุฉ ุนู† ุงู„ูƒูˆุฑุณ

ูƒู… ุนุฏุฏ ุฏุฑูˆุณ ูƒูˆุฑุณ Computer Vision With Ultralytics: A Full Practical ( )ุŸ +
ูŠุถู… ูƒูˆุฑุณ Computer Vision With Ultralytics: A Full Practical ( ) 57 ุฏุฑุณู‹ุง ุจุฅุฌู…ุงู„ูŠ ู…ุฏุฉ 7 ุณุงุนุงุช ูˆ41 ุฏู‚ูŠู‚ุฉ. ุชุชุฑุงูˆุญ ู…ุฏุฉ ุงู„ุฏุฑุณ ุจูŠู† ุฃู‚ู„ ู…ู† ุฏู‚ูŠู‚ุฉ ูˆ13 ุฏู‚ูŠู‚ุฉ.
ู…ู† ูŠู‚ุฏู… ูƒูˆุฑุณ Computer Vision With Ultralytics: A Full Practical ( )ุŸ +
ูŠู‚ุฏู…ู‡ UltralyticsุŒ ูˆุชุนุฑุถ ู…ุตุฑ 24 ุฏุฑูˆุณู‡ ู…ุฑุชุจุฉ ููŠ ุตูุญุฉ ูˆุงุญุฏุฉ ู…ุน ุญูุธ ุชู‚ุฏู…ูƒ ุฏุฑุณู‹ุง ุจุฏุฑุณ.
ู‡ู„ ุงู„ูƒูˆุฑุณ ู…ู†ุงุณุจ ู„ู„ู…ุจุชุฏุฆูŠู†ุŸ +
ู†ุนู…ุŒ ุงู„ูƒูˆุฑุณ ู…ูˆุฌู‘ู‡ ู„ู„ู…ุจุชุฏุฆูŠู† ูˆู„ุง ูŠุญุชุงุฌ ุฎุจุฑุฉ ุณุงุจู‚ุฉ. ูˆูŠุจุฏุฃ ุจุฏุฑุณ ยซBuilt End-to-End. Built for the Edgeยป.
ูƒู… ูŠุณุชุบุฑู‚ ุฅุชู…ุงู… ุงู„ูƒูˆุฑุณุŸ +
ุฅุฌู…ุงู„ูŠ ู…ุฏุฉ ุงู„ุฏุฑูˆุณ 7 ุณุงุนุงุช ูˆ41 ุฏู‚ูŠู‚ุฉ. ุจู…ุนุฏู„ 30 ุฏู‚ูŠู‚ุฉ ูŠูˆู…ูŠู‹ุง ุชู†ู‡ูŠู‡ ููŠ 16 ูŠูˆู…ู‹ุงุŒ ูˆุจุณุงุนุฉ ูŠูˆู…ูŠู‹ุง ููŠ 8 ุฃูŠุงู….
ู‡ู„ ุฃุญุตู„ ุนู„ู‰ ุดู‡ุงุฏุฉ ุจุนุฏ ุงู„ูƒูˆุฑุณุŸ +
ู†ุนู…ุŒ ุชุญุตู„ ุนู„ู‰ ุดู‡ุงุฏุฉ ุฅุชู…ุงู… ุจุงุณู…ูƒ ู…ู† ุฃูƒุงุฏูŠู…ูŠุฉ ู…ุตุฑ ูขูคุŒ ูˆุชููุชุญ ุจุนุฏ ู…ุดุงู‡ุฏุฉ ู†ุตู ุงู„ุฏุฑูˆุณ ุนู„ู‰ ุงู„ุฃู‚ู„.
ู‡ู„ ุงู„ูƒูˆุฑุณ ู…ุฌุงู†ูŠุŸ +
ู†ุนู…ุŒ ูƒู„ ุงู„ุฏุฑูˆุณ ู…ุชุงุญุฉ ู„ู„ู…ุดุงู‡ุฏุฉ ุฏูˆู† ุฃูŠ ุฑุณูˆู… ุฃูˆ ุงุดุชุฑุงูƒ.
ู…ุง ุงู„ุฐูŠ ุฃุญุชุงุฌู‡ ู„ุชุทุจูŠู‚ ุงู„ูƒูˆุฑุณุŸ +
ู„ุงุจุชูˆุจ ุจุฑุงู… 16 ุฌูŠุฌุงุŒ ูˆูƒุงุฑุช ุดุงุดุฉ NVIDIA ู…ููŠุฏ ููŠ ุชุฏุฑูŠุจ ุงู„ู†ู…ุงุฐุฌุŒ ูˆูŠู…ูƒู† ุงู„ุงุณุชุบู†ุงุก ุนู†ู‡ ุจู€ Google Colab ุงู„ู…ุฌุงู†ูŠ.
ู…ุง ุงู„ูˆุธุงุฆู ุงู„ู…ุฑุชุจุทุฉ ุจู‡ุฐุง ุงู„ูƒูˆุฑุณุŸ +
ู…ู† ุงู„ูˆุธุงุฆู ุงู„ู…ุฑุชุจุทุฉ: ุนุงู„ู… ุจูŠุงู†ุงุช (ู…ู† 12,829 ุฅู„ู‰ 81,126 ุฌู†ูŠู‡ ุดู‡ุฑูŠู‹ุง ููŠ ู…ุตุฑ)ุŒ ูˆู…ุจุฑู…ุฌ ุจุงูŠุซูˆู† (ู…ู† 11,258 ุฅู„ู‰ 41,679 ุฌู†ูŠู‡ ุดู‡ุฑูŠู‹ุง ููŠ ู…ุตุฑ)ุŒ ูˆู…ุญู„ู„ ุจูŠุงู†ุงุช (ู…ู† 10,564 ุฅู„ู‰ 44,689 ุฌู†ูŠู‡ ุดู‡ุฑูŠู‹ุง ููŠ ู…ุตุฑ). ุงู„ุฃุฑู‚ุงู… ุชู‚ุฑูŠุจูŠุฉ ู…ู† ุจูŠุงู†ุงุช Paylab ู„ุนุงู… 2026.
ู…ุง ู„ุบุฉ ุงู„ุดุฑุญ ููŠ ุงู„ูƒูˆุฑุณุŸ +
ุงู„ุดุฑุญ ุจุงู„ู„ุบุฉ ุงู„ุฅู†ุฌู„ูŠุฒูŠุฉ.
โœ•
๐ŸŽ“ ุฃูƒุงุฏูŠู…ูŠุฉ ู…ุตุฑ 24
EG24
EG-24 ACADEMY
EG24
EG-24ACADEMY
โ€” ุฃูƒุงุฏูŠู…ูŠุฉ ู…ุตุฑ 24 โ€”
CERTIFICATE
OF COMPLETION
THISCERTIFICATE IS PROUDLY PRESENTED TO
ุงุณู…ูƒ ู‡ู†ุง
FOR SUCCESSFULLY COMPLETING THE COURSE
ุงุณู… ุงู„ูƒูˆุฑุณ ู‡ู†ุง
ISSUED ON
02 ุฃูƒุชูˆุจุฑ 2026
Ahmed Hamdy
AHMED HAMDY
FOUNDER
VERIFY CERTIFICATE
CERTIFICATE ID
PREVIEW
ุฑู‚ู… ุชุญู‚ู‚ ุงู„ุดู‡ุงุฏุฉ
EG24
ACADEMY
LEARN GROW
ุฃู‚ุฑุจ ุทุฑูŠู‚ ู„ุญู„ู…ูƒ โ€” ุณูˆุงุก ู…ุดุฑูˆุนูƒ ุงู„ุฌุฏูŠุฏ ุฃูˆ ูˆุธูŠูุฉ ุฃุญู„ุงู…ูƒ โ€” ูŠุจุฏุฃ ู…ู† ู‡ู†ุงุŒ ุจูƒูˆุฑุณุงุช ู…ุฌุงู†ูŠุฉ 100% ู„ู„ุฃุจุฏ.