Learn how to build and deploy deep learning models for disaster risk monitoring with NVIDIA
Data skills · 16 Jun 2022, 06:02

In the data science world, most data practitioners kick-start and build their careers through online learning. Platforms like udemy, Coursera, Skillshare, edx and even YouTube make online learning cheaper and more practical and require less time commitment than traditional education. Now you can develop your practical deep learning skills with NVIDIA.

At Zindi we want to support our community to develop their skills as the world of data and engineering is changing so rapidly. In a recent interview on Cloud skills for data science, our Partnership Lead Tamrat Ogubui encouraged Zindians to upskill constantly: “Aspiring data professionals should be on the lookout for what the market demands, especially in this era of accessible and affordable online education, MOOCs and courses.”

This is why we’re so happy to be partnering with NVIDIA, which offers self-paced online training in deep learning that is accessible to our community. To celebrate this partnership, NVIDIA is offering access to the Disaster Risk Monitoring Using Satellite Imagery self-paced course, free of charge!

“This course shows you how to build and deploy a deep learning model to automate the detection of flood events using satellite imagery,” explains Billy Gareth, an ambassador for Zindi and NVIDIA who recently completed it. “Within the JuPyter lab session, NVIDIA provides you with clear requirements and steps needed to get you started. This makes it easy for a beginner to understand where to start.”

The course also applies to other use cases, as you learn how to use hardware-accelerated tools to process satellite data, create production-quality models with minimally-labelled data and training iterations by using transfer learning, and deploy a deep-learning model for near-realtime analysis.

“The course has information that would be valuable to everyone, from a beginner all the way to the most advanced developer,” says Gareth.

The NVIDIA Deep Learning Institute offers resources for diverse learning needs—from learning materials to self-paced and live training to educator programs, giving individuals, teams, organisations, educators, and students what they need to advance their knowledge in AI, accelerated computing, accelerated data science, graphics and simulation, and more.

Why Choose NVIDIA for Self-paced, Online Training?

1. Access to technical expertise: You will learn from technical industry experts and instructors who are passionate about developing curricula around the latest technology trends.

2. Industry-standard tools and frameworks: Gain hands-on experience with the most widely used, industry-standard software, tools, and frameworks.

3. Applications across industries: Learn to build deep learning, accelerated computing, and accelerated data science applications for industries, such as healthcare, robotics, manufacturing, and more.

4. Reduce time to production: Build production-quality solutions with the same DLI base environment containers used in the courses, available from the NVIDIA NGC™ catalog.

5. Earn certificates: Earn an NVIDIA Deep Learning Institute certificate in select courses to demonstrate subject-matter competency and support professional career growth

6. Real-world examples: Gain real-world expertise through content designed in collaboration with industry leaders, such as the Children’s Hospital of Los Angeles, Mayo Clinic, and PwC.

7. GPU-accelerated servers in the cloud: Access fully configured, GPU-accelerated servers in the cloud to complete hands-on exercises included in the training.

We are offering vouchers to the first 50 people who will enrol in at least one course. To apply for a voucher, you need to submit a screenshot of your registration and show that you are 90% complete with one of the courses. Please fill in the form here to get a voucher!