TARIQ RAHIM MALIK: Free skill development Courses online ,Google

Free courses With

Grow your cloud knowledge and skills by completing a role-based Google Cloud learning path without cost 30 days. Built on your job role, pick a learning path and complete a series of hands-on courses to earn Google Cloud badges. Track your progress on your Google Cloud Skills Boost profile as you expand your cloud knowledge and skills.

Cloud computing

The cloud" refers to servers that are acceded over the Internet, and the software and databases that run on those servers by using cloud computing, users and companies do not have to manage physical servers themselves or run software applications on their

own machines. The cloud enables users to access the same files and applications from almost any device, because the computing and storage take place on servers in a data center, instead of locally on the user device. the practice of using a network of remote servers hosted on the internet to store, manage, and process data, rather than a local server or a personal computer.

Getting Started

An introduction to the rudiments of Google Cloud for technical practitioners.

Cloud Engineer

For those who plan, configure, set up, and deploy cloud solutions.

In a broad sense, cloud engineers are responsible for managing an organization's cloud-based systems and processes. The specific tasks that this encompasses can include: Setting up architectures using cloud providers like AWS, Microsoft Azure, Google Cloud, or others. Managing security and access of cloud-based systems

Data Engineer

For those who design and build systems that collect and transform the data used to inform business decisions.

A data engineer is an IT worker whose primary job is to prepare data for analytical or operational uses. They integrate, consolidate and cleanse data and structure it for use in analytics applications. They aim to make data easily accessible and to optimize their organization's big data ecosystem.

Cloud Developer

For those who design, build, analyze and maintain cloud-native applications.

Cloud Developers are essentially software engineers with a specialization in cloud computing. That means on top of development experience, Cloud Developers must have a solid understanding of cloud systems not only how they operate, but how to deploy them securely, efficiently, and with little-to-no downtime

Data Analytics

For those who gather and analyze data to identify trends and develop valuable insights to help solve problems.

Analytics is the systematic computational analysis of data or statistics. It is used for the discovery, interpretation, and communication of meaningful patterns in data. It also entails applying data patterns towards effective decision-making. It can be valuable in areas rich with recorded information; analytics relies on the simultaneous application of statistics, computer programming, and operations research to quantify performance.

Cloud Architect

For those who design, develop, and manage robust, secure, scalable, and dynamic solutions.

A cloud architect is an IT professional who is responsible for overseeing a company's cloud computing strategy. This includes cloud adoption plans, cloud application design, and cloud management and monitoring.

DevOps Engineer

For those who define and implement best practices for efficient, reliable software delivery and infrastructure management.

A DevOps engineer is an IT generalist who should have

wide-ranging knowledge of both development and operations, including coding, infrastructure management, system administration, and DevOps toolchains.

ML Engineer

For those who design, build, produce, optimize, operate and maintain ML systems.

Machine-learning engineer (ML engineer) builds artificial intelligence (AI) systems that leverage huge data sets to generate and develop algorithms capable of learning and eventually making predictions. Each time the software performs an operation, it “learns” from those results to carry out future operations more accurately.