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Udemy - Satellite Systems Engineering - 100 Labs (GNSS and Space) [TorrentX]
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Udemy - Satellite Systems Engineering - 100 Labs (GNSS and Space) [TorrentX]

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1 file — 1 GB
Satellite Systems Engineering: 100 Labs (GNSS & Space) https://WebToolTip.com Published 7/2026 MP4 | Video: h264, 1920x1080 | Audio: AAC, 44.1 KHz, 2 Ch Language: English | Duration: 8h 25m | Size: 1.01 GB From satellite theory to production-grade GNSS, ISR & cloud-native space platforms through 100 hands-on labs. What you'll learn Master the fundamentals of satellite engineering, orbital mechanics, Positioning, Navigation & Timing (PNT), and multi-constellation GNSS. Build production-ready GNSS data pipelines using industry-standard formats including NMEA, RINEX, RTCM, SP3, and IGS datasets. Engineer geospatial platforms with Python, PostGIS, GeoJSON, Docker, Kubernetes, Kafka, and cloud-native technologies. Process Earth Observation imagery, perform spatial analytics, and automate remote sensing workflows at scale. Design ISR (Intelligence, Surveillance & Reconnaissance) architectures capable of ingesting, correlating, and analyzing multi-sensor data streams. Develop Software Defined Radio (SDR) workflows for GNSS signal observation, spectrum monitoring, and interference analysis. Deploy secure satellite communications and space internet platforms using Kubernetes, Terraform, GitOps, OpenTelemetry, and Prometheus. Implement Zero Trust security, PKI, disaster recovery, operational resilience, audit logging, and compliance controls aligned with modern critical infrastructur Architect sovereign, vendor-independent satellite data platforms that combine navigation, Earth Observation, ISR, observability, automation, and reliability eng Complete a portfolio-grade capstone by building an end-to-end production satellite platform integrating GNSS, Earth Observation, ISR, Space Internet, cloud infr Requirements A Windows, Linux, or macOS computer At least 16 GB RAM recommended (8 GB minimum) Modern multi-core processor (Intel i5/Ryzen 5 or better recommended) Approximately 80–120 GB free disk space Stable internet connection Python 3.12 (installation covered) Visual Studio Code Curiosity and willingness to build real engineering systems

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