Cloud and Edge Computing: Driving the Future of Autonomous Vehicles

Latest blog on FutureSkills trends
June 2024

The advent of autonomous vehicles (AVs) has brought about a paradigm shift in the automotive industry, with cloud computing and edge computing playing a pivotal role. These technologies are not only accelerating the development of AVs but are also preparing to manage tomorrow’s data-reliant AV fleets.

The Role of Cloud and Edge Computing in AVs

Cloud computing provides on-demand processing power and data storage needed to scale computing requirements via virtualized software environments. It is crucial for the success of AVs as it enables them to operate safely on real roads and in real time. The cloud’s scalability aspect is vital, particularly in a field expanding as swiftly as connectivity/autonomy. Taking a Microsoft cloud computing or AWS cloud course can be a significant step toward understanding these critical technologies.

Edge computing, on the other hand, is a distributed computing paradigm that brings computation and data storage closer to the location where it is needed, improving response times and saving bandwidth.

Real-World Applications

Cloud and edge computing are being utilized in various ways in the realm of AV technology. For instance, they support distributed simulation tests for new algorithm deployment, offline deep learning model training, and High-Definition (HD) map generation. These applications require infrastructural support, such as distributed computing and storage.

Demand for Cloud Professionals

The demand for cloud professionals is growing exponentially, both in India and worldwide. According to a report by Nasscom, the demand for cloud professionals in India may touch two million by 2025. Cloud-related roles have taken up 10% of total jobs in November 2021 with 3 lakh active job seekers. However, there is an emerging talent gap in the industry due to lack of adequate skilling. Enrolling in cloud computing courses can help bridge this gap.

FutureSkills Prime: Bridging the Gap

FutureSkills Prime is playing a significant role in bridging this gap by providing cloud computing certification courses. The platform offers a range of courses, including the Cloud Architect Master’s Program, AWS Solutions Architect, and Certificate Course on AI Ops & Multi-Cloud Engineering. These generative AI courses are designed to equip learners with the skills highly sought after by employers.

Conclusion

As the connected-car ecosystem evolves, it will affect multiple value chains, including those for automotive, telecommunications, software, and semiconductors. The rise of cloud and edge computing will create new opportunities along the automotive supply chain. To seize these opportunities, it is crucial to equip oneself with the necessary skills. Platforms like FutureSkills Prime are playing a pivotal role in this regard by providing industry-relevant courses and helping professionals stay ahead of the curve.

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