In 2020, we saw advancements from companies like Waymo that allow customers to hail self-driving taxis, a service called Waymo One. Automotive Artificial Intelligence is rapidly enabling self-driving cars that use sensors to gather data about their surroundings. But how do self-driving cars interpret that data? This is the biggest use case of machine learning API in Automotive.

Driver less cars can identify objects, interpret situations, and make decisions based on object detection and object classification algorithms. They do this by detecting objects, classifying them, and interpreting what they are. The three major sensors used by self-driving cars work together…


Hope you all enjoyed the previous quest on Google Workspace Essentials. Moving forward with the pedagogy, let’s have a look at some more advanced features of Google Workspace.

- APIs (Application Programming Interfaces) are software programs that give developers access to computing resources and data. The Google API allows you to create apps that leverage Google cloud storage. You can develop applications that integrate with Google, and create robust functionality in your application using Google API.

- You can save time and effort for your users by automating these tasks with Gmail Add Ons When a user reads or composes…


“Machine learning is the future.” — Your Boss

Future-proof your career by being one of the people who actually understands machine learning (not just party anecdotes). Let’s start with a basic definition: machine learning is when you feed some data (usually lots of data) to a machine, and then the machine learns from the data. (Refer blog). It is a subset of AI.

Machine learning algorithm: ML algorithms are techniques through which machines are trained to perform a particular task. These algorithms are trained using three types of machine learning namely Supervised, Unsupervised and Reinforcement learning. …


You’ve designed an elegant, masterful solution. The code is beautiful, the logic is flawless, you are amazing. You deploy the code, and sit back with a satisfied smile. But then — record scratch! — you start getting bug reports. How can this be, it worked on your machine!

Has this ever happened to you? Docker containers are the solution. With Docker, you can separate your applications from your infrastructure and treat your infrastructure like a managed application. But don’t take our word for it. Get hands on experience with Docker with Introduction to Docker.

Once you start using containerized applications…


Opportunities for people with Kubernetes skills are growing. Whether you think of yourself as a developer, a software engineer, or something entirely your own, Kubernetes can make your life* easier, and can help make you even more valuable on the 2021 job market. Here are 3 ways Kubernetes can help:

  1. Logging. Did you click the developer-software-engineer link? #12 on the list, back-end engineer, has the highest average salary and lists logging systems as one of the primary responsibilities. Got an hour? Learn how to use Logging, Monitoring, and GKE to identify errors and trace root cause. …


So what the heck is Kubernetes? Google Kubernetes Engine is a managed environment for deploying, scaling, and managing containerized applications in a secure Google infrastructure. With Kubernetes, you get declarative configuration and automation, resilient distributed systems, scaling, and failover.

Simply put, Kubernetes is a container orchestrator that helps make sure that each container is where it is supposed to be and the containers can work together.

Now let’s dive into why you should care, and explore some gnarly things you can do with Google Kubernetes Engine (GKE):

1 Do less work when you modernize your applications:

When workloads are modernized…


Did you join the ACE week challenge yet? Complete the challenge and you will get a 20% discount on your ACE certificate exam registration. Hurry, only a few days left!

Wondering ‘Why ACE’? Find some stories here:

ACE your next certification with us. Happy Learning!


Interested in a career in tech? Smart, considering that IT jobs grew by 50,000 in March. But where to start? Getting certified helps you market yourself as a cloud professional, and the Google Cloud Associate Cloud Engineer cert is a great place to begin.

This week, prepare for your ACE certification exam with Qwiklabs. Get free access to hands-on training resources (over $100 US value). Complete the training and we’ll send you a 20% discount voucher to help you take the exam. Check this out!

Here are some study materials which you can use:

  1. Qwiklabs:

Skill up learning and working…


Accelerate your career with Qwiklabs! This week, we’re laser-focused on getting ACE certified. It’s the perfect starting point for your career in cloud. Certification exams are challenging. But this week we’ll work together to help you prepare and get hands-on practice with key GCP tools. Complete 4 skill badges geared towards ACE certification this week to get a 20% discount voucher for your exam.

Monday: Join the challenge! Then, take on the first quest on our list, Create and Manage Cloud Resources. This quest is designed to help you orient yourself and understand the basics of GCP. Join here.

Tuesday…


Did you know that you can predict — with pretty good accuracy — whether or not someone is going to make a purchase on your retail website? All you need is a little data and BQML. Get hands-on BQML experience with retail use cases in the newest quest, Applying BQML’s Classification, Regression, and Demand Forecasting for Retail Applications.

UPDATE: Use code 1q-bqml-12 for 7 Qwiklabs credits to get started free when you enroll within the next 48 hours. Good luck!

You’ll complete five labs (about five hours, but you don’t have to do all the labs at once). …

Qwiklabs

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