The escalating volume of high-resolution data generated by modern drones – from 4K video and LiDAR point clouds to hyperspectral imagery – presents a significant challenge for traditional cloud-based processing models. Transmitting vast datasets wirelessly to remote servers for analysis introduces latency, bandwidth limitations, and privacy concerns, hindering real-time decision-making in critical applications like autonomous navigation, immediate anomaly detection, and rapid response. This is where edge computing and onboard processing become indispensable. By empowering drones with localized computational power, data can be processed, analyzed, and acted upon at the source, dramatically reducing latency, enhancing efficiency, and enabling true autonomy. This essential training course focuses on Edge Computing & Onboard Processing for Drones, equipping professionals to design and implement intelligent, high-performance aerial systems that revolutionize real-time data exploitation.
This intensive training course delves into the core principles and practical implementation of edge computing architectures tailored specifically for drone platforms. Participants will gain hands-on experience with selecting and configuring onboard processing hardware, optimizing data pipelines for real-time analytics, and deploying machine learning models at the edge. We will explore topics such as sensor data fusion, efficient algorithms for onboard processing, and secure communication strategies within distributed drone networks. By mastering the intricate balance of computational power, energy efficiency, and connectivity at the edge, you will be prepared to develop cutting-edge autonomous drone solutions that perform complex tasks with unprecedented speed, reliability, and local intelligence.
DURATION
10 Days
COURSE CONTENT
Module 1: Introduction to Edge Computing and Drones
Module 2: Drone Data & Processing Demands
Module 3: Onboard Processing Hardware for Drones
Module 4: Operating Systems and Software Frameworks for Edge Drones
Module 5: Real-time Data Pipelines and Optimization
Module 6: Edge AI for Drones: Onboard Machine Learning
Module 7: Sensor Fusion at the Edge
Module 8: Secure Edge Communication for Drones
Module 9: Power Management and Energy Efficiency
Module 10: Edge-to-Cloud Continuum for Drones
Module 11: Future Trends & Edge Drone Applications
Module 12: Case Studies in Edge-Enabled Drone Deployments
Module 13: Project & Optimization Techniques
Training Approach
This course will be delivered by our skilled trainers who have vast knowledge and experience as expert professionals in the fields. The course is taught in English and through a mix of theory, practical activities, group discussion and case studies. Course manuals and additional training materials will be provided to the participants upon completion of the training.
Tailor-Made Course
This course can also be tailor-made to meet organization requirement. For further inquiries, please contact us on: Email: info@skillsforafrica.org, training@skillsforafrica.org Tel: +254 702 249 449
Training Venue
The training will be held at our Skills for Africa Training Institute Training Centre. We also offer training for a group at requested location all over the world. The course fee covers the course tuition, training materials, two break refreshments, and buffet lunch.
Visa application, travel expenses, airport transfers, dinners, accommodation, insurance, and other personal expenses are catered by the participant
Certification
Participants will be issued with Skills for Africa Training Institute certificate upon completion of this course.
Airport Pickup and Accommodation
Airport pickup and accommodation is arranged upon request. For booking contact our Training Coordinator through Email: info@skillsforafrica.org, training@skillsforafrica.org Tel: +254 702 249 449
Terms of Payment: Unless otherwise agreed between the two parties’ payment of the course fee should be done 10 working days before commencement of the training.
Dates | Fees | Location | Apply |
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14/07/2025 - 25/07/2025 | $3500 | Nairobi, Kenya |
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14/07/2025 - 25/07/2025 | $3500 | Nairobi, Kenya |
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04/08/2025 - 15/08/2025 | $3500 | Nairobi, Kenya |
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11/08/2025 - 22/08/2025 | $3500 | Nairobi, Kenya |
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18/08/2025 - 29/08/2025 | $3500 | Nairobi, Kenya |
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01/09/2025 - 12/09/2025 | $3500 | Nairobi, Kenya |
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08/09/2025 - 19/09/2025 | $3500 | Nairobi, Kenya |
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15/09/2025 - 26/09/2025 | $3500 | Nairobi, Kenya |
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06/10/2025 - 17/10/2025 | $3500 | Nairobi, Kenya |
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13/10/2025 - 24/10/2025 | $3500 | Nairobi, Kenya |
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20/10/2025 - 31/10/2025 | $3500 | Nairobi, Kenya |
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03/11/2025 - 14/11/2025 | $3500 | Nairobi, Kenya |
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10/11/2025 - 21/11/2025 | $3500 | Nairobi, Kenya |
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17/11/2025 - 28/11/2025 | $3500 | Nairobi, Kenya |
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01/12/2025 - 12/12/2025 | $3500 | Nairobi, Kenya |
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08/12/2025 - 19/12/2025 | $3500 | Nairobi, Kenya |
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05/01/2026 - 16/01/2026 | $3500 | Nairobi, Kenya |
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12/01/2026 - 23/01/2026 | $3500 | Nairobi, Kenya |
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19/01/2026 - 30/01/2026 | $3500 | Nairobi, Kenya |
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02/02/2026 - 13/02/2026 | $3500 | Nairobi, Kenya |
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09/02/2026 - 20/02/2026 | $3500 | Nairobi, Kenya |
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16/02/2026 - 27/02/2026 | $3500 | Nairobi, Kenya |
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02/03/2026 - 13/03/2026 | $3500 | Nairobi, Kenya |
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09/03/2026 - 20/03/2026 | $3500 | Nairobi, Kenya |
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16/03/2026 - 27/03/2026 | $3500 | Nairobi, Kenya |
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06/04/2026 - 17/04/2026 | $3500 | Nairobi, Kenya |
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13/04/2026 - 24/04/2026 | $3500 | Nairobi, Kenya |
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13/04/2026 - 24/04/2026 | $3500 | Nairobi, Kenya |
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04/05/2026 - 15/05/2026 | $3500 | Nairobi, Kenya |
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11/05/2026 - 22/05/2026 | $3500 | Nairobi, Kenya |
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18/05/2026 - 29/05/2026 | $3500 | Nairobi, Kenya |
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