Tips for Writing an Android Developer Resume

Include a resume summary.

 You might want to include a resume summary at the beginning of your resume. A resume 
summary provides a hiring manager with a description of your qualifications for the job,
 including your skills and accomplishments.It might be a few sentences or a bulleted list, 
or both. The summary should briefly demonstrate why you are an main candidate for the job.

 Include key accomplishments.  

Underneath each job listing, include a list of not just your job tasks, but also your 
accomplishments. Try to use numbers to appraise those accomplishments.For example,
 you efficiency list the number of apps you have developed, or explain how you fixed a
 particular number or percentage of bugs in an app. These accomplishments show the 
hiring administrator how you might add value to his or her company.

Include a skills list. Technical skills are especially important for an Android developer.

You need to know assorted coding languages, be familiar with APIs, and more. Consider
 including a “Skills” or “Technical Skills” section in your resume that lists all of your 
analogous skills. This will help the employer see, at a glance, that you are qualified.

Edit, edit, edit. Even though technical skills are analytical for an Android developer job,
 you still required a well written resume.

Be sure to thoroughly read through your resume before sending it, proofreading for any 
spelling and grammar errors. Also make sure your formatting is consistent. For example, 
if you use bullet points in one job description, be sure to use bullet points in all other job 
descriptions. Also consider asking a friend, family member, or career counselor to look 
at your resume as well.

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What is AI? History, definition and application?

History of Artificial Intelligence

Artificial intelligence is approach that can be developed in the beginning of the 50's, in which
 its aspect date is more on Alan Turing's work with Dartmouth Summer Research Project on
 Artificial Intelligence, Can give credit Simon, but AI did not make IBM in Spotlight globally until 
the advent of the Chess Supercomputer Deep Blue, which was the first machine to defeat the
 then World War II chess champion Garry Kasparov in a match in 1996. Algorithms have been
 used on AI data centers and large computers for many years, but have recently been in the 
field of consumer electronics. Learn more information about Android with
 Android Training in Chandigarh.

Definition of artificial intelligence

The definition of artificial intelligence depicts it as a branch of computer science that deals with
 automated intelligent behavior. Here's the hard part: Since you can not definitively define intelligence, 
artificial intelligence cannot be defined exactly. Generally, this term is used to describe systems
 whose purpose is to use machines to stimulate and simulate human intelligence and simulation 
behavior. It can be completed with simple algorithms and predefined patterns, but it can also be 
more complex.

Different types of artificial intelligence

Symbolic or symbol-tamper AI works with abstract symbols that are used to represent knowledge. 
This is the classic AI which follows the idea that human thinking can be renovated at the hierarchical,
 logical level.Here, wisdom is not displayed through symbols, but rather artificial neurons and their
 connections-like a reconstituted brain. Gathering is broken into small pieces-neurons-and then 
connected and made in groups. This approach is known as the bottom-down method which works
 its way from the bottom. Unlike the symbolic AI, a nervous system should be trained and 
stimulated so that the neural network can collect and enhance the experience, so that more 
knowledge can be gathered.Get more knowledge about Android Artificial intelligence  with
 Android Training in Chandigarh.

Neural networks are arranged in layers which are connected to each other through simulate lines. 
The upper layer is the input layer, which acts like a sensor that accepts information to process the 
information and passes it through the bottom. After this there are at least two or more systems-layers
 of more than twenty which are hierarchical above each other and send information and classify
 through connections. Very low is the output layer, which is usually the number of at least artificial 
neurons. It provides data calculated in a machine-readable form, i.e. "a dog picture during the day 
with a red car."

Ways and Tools

There are various tools and methods to implement artificial intelligence for real world scenarios,
 some of which can be used in parallel.All these are to learn the foundation machine, which is 
defined as a system that creates knowledge from experience. This process gives the system 
the ability to detect patterns and laws - and always with increasing speed and accuracy. In learning
 the machine, both symbolic and neural AI are used.

Deep learning is a sub-type of learning machine which is becoming more important now. In this 
case only nerve AI, i.e. neural network is used. Deep education is the foundation of most current 
AI applications. Thanks to the possibility of rapidly expanding the design of neural networks and 
making them more complex and powerful with new layers, deep education is easily scalable and 
suited to many applications.

Here we have  three learning ways for neural network training:

Learning, supervised, supervised, and brace provides many different ways of controlling how 
input makes crave output. While the target values ​​and parameters are not specified in the 
supervised education externally, in unsafe education, the system attempts to identify patterns 
in the input, which has an identifiable structure and can be duplicated. In learning the reinforcement, 
the machine works independently, but is repaid or punished on the basis of success or failure.

Applications

In many areas artificial intelligence is already being used, but by no means do they appear in all eyes.
 Therefore, the selection of scenarios that take advantage of the possibilities of this technique is
 not from any complete list.

Artificial intelligent systems are excellent for recognizing, identifying, and categorizing objects 
and individuals on pictures and videos. At that end, simple but CPU-intensive pattern recognition is
 used. Android Training in Chandigarh is the best place to learn android Techniques using 
artificial intelligence.

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Firebase in Android

Firebase is a mobile and web app development terrace that provides builder with a plenty of tools and services to help them establish good quality applications, grow their customer base, and earn more profit.Get more Knowledge about Android with Android Training in Chandigarh.

A Brief History - Firebase

Back in 2011, before Firebase was Firebase, it was a associate called Envolve. As Envolve, it provided developers with an API that facilitate the alliance of online chat performance into their website.
What’s attractive is that people used Envolve to pass function data that was more than just chat messages. Developers were using Evolve to sync function data such as a game state in real time beyond their users.
This led the founders of Envolve, James Tamplin and Andrew Lee, to independent the chat organisation and the real time structure. In April 2012, Firebase was developed as a separate company that provided Backend-as-a-Service with real-time functionality.
After it was acquired by Google in 2014, Firebase regularly evolved into the multifunctional beast of a mobile and web platform that it is today.
Features of Firebase in Android
Firebase arrive with batch appearance crucial  for each android app starting from verification to introducing the app.

Below are the advantages using Firebase in general:
> Super easy and quick to implement.
> No server side composition needed. No PHP Scripts and No Database Designs.
> Real time modernize without using GCM.
> Autoscaling inherent
> Can start for free
> Robust APIs for Javascript , iOS, and Android
> Built-in platform for verification assistance like Facebook, Google, and Twitter
> Critical Security Rules model allows us to enforce read/write advantage and data validation throughout the tree

Some of the disadvantages of Firebase can be sum up in the following:
> Need to build indexes manually
> May need to build “event log” manually as well (in separate sub-tree?)
> operation of REST API could be tough on fixed platforms
> Data validation rules do not support complex objects directly (you’d need to validate individual child nodes separately)

Develop and test your Android app using Firebase

Real time database

The Firebase Realtime Database is a cloud-hosted NoSQL database that lets you store and sync between your users in real time.
The Realtime Database is actually just one big JSON substance that the developers can control in actual time.

Realtime Database => A Tree of Values
With just a single API, the Firebase database provides your app with both the current value of the data and any updates to that data.

Real Time equivalent makes it easy for your users to approach their data from any device, be it web or mobile. Realtime Database also helps your users collaborate with one another.
One more amazing benefit of Realtime Database is that it rapidly with mobile and web SDKs, allowing you to body your apps beyond the need for servers.
When your users go offline, the Realtime Database SDKs use regional cache on the device to deliver and store changes.
The Realtime Database can enclose with Firebase Authentication to provide a easy and affecting authentication process.

• Collaborate across devices with ease-
• Build serverless apps
• Optimized for offline use
• Strong user-based security

Firebase Cloud Messaging (FCM)

Firebase Cloud Messaging (FCM) provides a dependable and battery-efficient relation between your server and devices that allows you to bring and receive messages and bulletin on iOS, Android, and the web at no cost.

You can send alert messages (2KB limit) and data messages (4KB limit).
Using FCM, you can easily invalid messages using pretended segments or create your own, using statics and behavior. You can send messages to a group of devices that are subscribed to defined topics, or you can get as granular as a single device.

FCM can convey messages directly, or at a future time in the customer local time zone. You can send habit app data like context priorities, sounds, and expiry dates, and also track custom growth events.
The best thing about FCM is that there is barely any coding confusing FCM is completely integrated with Firebase Analytics, giving you detailed engagement and conversion tracking.

Firebase Authentication

Firebase Authentication gives backend administrations, simple to-utilize SDKs, and instant UI libraries to verify clients to your application.

Typically, it would take you months to set up your own particular confirmation framework. What's more, even from that point forward, you would need to keep a devoted group to keep up that framework. Be that as it may, in the event that you utilize Firebase, you can set up the whole framework in less than 10 lines of code that will deal with everything for you, including complex activities like record combining.

You can verify your application's clients through the accompanying techniques:

• Email and Password
• Telephone numbers
• Google
• Facebook
• Twitter
• and more!

Utilizing Firebase Authentication makes building secure verification frameworks less demanding, while likewise enhancing the sign-in and onboarding knowledge for end clients.

Firebase Authentication is worked by similar individuals who made Google Sign-in, Smart Lock, and Chrome Password Manager. Learn more information about Firebase with Android Training in Chandigarh.

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