Skip to main content

Get your Java dream job! Middle level Interview preparation

Learn Java Fundamentals, JVM, Arrays, Collections, Maps and Solve puzzles to win Java interview questions


 
What Will I Learn?

  • You will answer many interview questions more correctly and accurately

  • Cope professional java interview with more confidence

  • You will achieve better understanding in the Java topics learned in the course.


 
Requirements


  • Basic knowledge in Java

  • Basic knowledge in Eclipse IDE


 
Description

Hello and Welcome!

Scared of coding interview?

This course will practice you with the must know Java interview questions.

In addition it will also prepare you to crack Java puzzle pattern. If you can learn the pattern, you can beat coding interview!

If you want to get your dream job, and you are serious about your career you should take this course.

In this course we will review Java interview questions from different areas:
  • Java Fundamentals – String Pool, Immutable, cloneable, marker interface, copy contructor and more.

  • Java Virtual Machine - Memory management, garbage collection, finalization, class loader.

  • Arrays - advantages and disadvantages, initialization, search, sort,  multi dimensional , puzzle.

  • Collection - Framework, List, ArrayList, Vector, LinkedList.

  • Maps - Map interface, HashMap, internal Impl and  Hashtable

  • Iterator - Iterator Interface, Fail-Fast, Fail-Safe, List Iterator.

  • Puzzles -  Programming puzzles from Google and Amazon.

  • Interview process - Improve your soft skills and understand the interview process that you are going to pass.

Lesson structure

The lecture were divided to short lectures of about 5 min each, so you will be able to come back to a specific topic and replay the lesson without the need to search in a specific long video for  the part that you would like to repeat on.

Each lesson will include several questions; all of them are from real interviews. We'll go over the questions and answer them.

Quiz

Summarizing each few classes there will be a quiz, designed to repeat the material and help the student understand it even better.

 







Who is the target audience?

  • A beginner to intermediate ( 1-5 years ) developer who want to win a job as Java developer

  • Java developer who want to learn java in more depth.

















[button link="https://click.linksynergy.com/deeplink?id=LTDmoZU*IG0&mid=39197&u1=onlinecourses&murl=https%3A%2F%2Fwww.udemy.com%2Fget-your-java-dream-job-middle-level-interview-preparation%2F" type="big" newwindow="yes"] Enroll Now[/button]


 

Comments

Post a Comment

Popular posts from this blog

Oracle DBA 11g/12c - Database Administration for Junior DBA

Oracle DBA 11g/12c - Database Administration for Junior DBA Learn to become an Oracle Database Administrator (DBA) in 6 weeks and get a well paid job as a Junior DBA What Will I Learn? Final Goal: Get a job as an Oracle Database Administrator (Oracle DBA) As a Oracle Database Administrator (Oracle DBA), you would be able understand the Database Architecture, which will help you to perform your DBA duties with better understanding. As a Oracle Database Administrator (Oracle DBA), you would be able to Install the necessary Oracle Software/Database As a Oracle Database Administrator (Oracle DBA), you would be able to Administer User accounts in the Database As a Oracle Database Administrator (Oracle DBA), you would be able to Manage Tablespace's to provide required space for the data As a Oracle Database Administrator (Oracle DBA), you would be able perform Backup and Recovery as needed. As a Oracle Database Administrator (Oracle DBA), you would be able to diagnose ...
1 comment
Read more

Data Science, Deep Learning, & Machine Learning with Python

Deep Learning, Data Science, & Machine Learning with Python Go hands-on with the latest neural network, artificial intelligence,deep learning and data science techniques employers are seeking! What Will I Learn? Develop using iPython notebooks Understand statistical measures such as standard deviation Visualize data distributions, probability mass functions, and probability density functions Visualize data with matplotlib Use covariance and correlation metrics Apply conditional probability for finding correlated features Use Bayes' Theorem to identify false positives Make predictions using linear regression, polynomial regression, and multivariate regression Understand complex multi-level models Use train/test and K-Fold cross validation to choose the right model Build a spam classifier using Naive Bayes Use decision trees to predict hiring decisions Cluster data using K-Means clustering and Support Vector Machines (SVM) Build a movie r...
1 comment
Read more

GraphQL with React: The Complete Developers Guide

GraphQL with React: The Complete GraphQL Developers Guide Learn and master GraphQL by building real web apps with React and Node   What Will I Learn? Build amazing single page applications with React JS and GraphQL Master fundamental concepts behind structuring GraphQL servers Realize the power of building flexible data schemas Be the engineer who explains how GraphQL works to everyone else, because you know the fundamentals so well Become fluent in the ecosystem supporting GraphQL, including the differences between Apollo and Relay   Requirements Familiarity with React   Description Note: This course assumes you are familiar with React ! If you're tired of spinning your wheels trying to figure out what type of backend server to use, this is the course for you. Authentication?  You will learn it.   Apollo Data?  Included.   Integration with React?  Of course! This GraphQL Developers Guide will get you up and running with GraphQL q...
Post a Comment
Read more