New technologies are changing the way the world works. As a result, governments and organizations are looking for talent with skills that will prepare them for the future. According to our analysis of global skills, demand for technology skills has increased 13% across the globe in the last year. Other important skills like Kubernetes, robotic process automation, and computer-aided manufacturing top Upwork’s list of the 20 fastest growing skills of 2019 so far.
Want to jumpstart your career as a Google Cloud Engineer? Curious what self driving cars are all about? Check out this round of up the top new technology courses and Specializations that have launched this year and start learning today:
1. AI for Everyone by deeplearning.ai
Having a baseline understanding of the capabilities of AI and machine learning is important for any role in tech. In this introductory course, you’ll learn AI terminology, what AI can (and cannot) do, how to spot opportunities to apply AI to problems in your own organization, what it feels like to build machine learning and data science projects, how to work with an AI team and build an AI strategy in your company, and more.
2. Architecting with Google Kubernetes Engine Specialization by Google Cloud
The Architecting with Google Kubernetes Engine Specialization will teach you how to implement solutions using Google Kubernetes Engine including building, scheduling, load balancing, and monitoring workloads, as well as providing for discovery of services, managing role-based access control and security, and providing persistent storage to these applications.
3. AWS Fundamentals: Building Serverless Applications by Amazon Web Services
Using real-world examples of a serverless website and chat bot, you’ll build upon your existing knowledge of the AWS cloud to take advantage of the benefits of modern architectures for greater agility, innovation, and lower total cost of ownership across a range of AWS services, including AWS Lambda, Amazon API Gateway, Amazon DynamoDB, and Amazon Lex.
4. Computer Vision Specialization by The State University of New York
This Specialization provides a foundation in the rapidly expanding research field of computer vision, laying the groundwork necessary for designing sophisticated vision applications. Explore the integral elements that enable vision applications, ranging from editing images to reading traffic signs in self-driving cars to factory robots navigating around human co-workers. Content includes image processing and state-of-the-art vision techniques, augmented by insights from top leaders in the computer vision field. You’ll gain hands-on experience writing computer vision programs through online labs using MATLAB and supporting toolboxes. Learn more in this instructor Q&A.
5. Tensorflow in Practice Specializationby deeplearning.ai
In this four-course Specialization, you’ll explore exciting opportunities for AI applications. Begin by developing an understanding of how to build and train neural networks. Improve a network’s performance using convolutions as you train it to identify real-world images. You’ll teach machines to understand, analyze, and respond to human speech with natural language processing systems. Learn to process text, represent sentences as vectors, and input data to a neural network. You’ll even train an AI to create original poetry!
6. Preparing for the Google Cloud Associate Cloud Engineer Exam by Google Cloud
This one-week on-demand course helps prospective candidates structure their preparation for the Associate Cloud Engineer exam. The session will cover the structure and format of the examination, as well as its relationship to other Google Cloud certifications. Through lectures, demos and hands-on labs, candidates will familiarize themselves with the domains covered by the examination.
7. Self-Driving Cars Specialization by University of Toronto
This advanced Specialization gives you a comprehensive understanding of state-of-the-art engineering practices used in the self-driving car industry. You’ll get to interact with real data sets from an autonomous vehicle―all through hands-on projects using the open source simulator CARLA.