Please use this guide at your discretion
- There may be other things you want to learn or do outside of this guide - go for it!
- Checking off all items in this guide does not guarantee a job at Google
- This guide will evolve or change - check back for updates
- Follow our Google for Students +Page to get additional tips, resources, and other students interested in development.
Recommendations for Academic Learnings
- Introduction to CS Course
Introduction to Computer Science Course that provides instructions on
coding Online Resources: Udacity - intro to CS course, Coursera -
Computer Science 101
- Code in at least one object oriented programming language: C++, Java, or Python
Online Resources: Coursera - Learn to Program: The Fundamentals, MIT
Intro to Programming in Java, Google's Python Class, Coursera -
Introduction to Python, Python Open Source E-Book
Online Resources: Udacity's Design of Computer Programs, Coursera -
Learn to Program: Crafting Quality Code, Coursera - Programming
Languages, Brown University - Introduction to Programming Languages
- Learn other Programming Languages
Notes: Add to your repertoire - Java Script, CSS, HTML, Ruby, PHP, C, Perl, Shell. Lisp, Scheme.
Online Resources: w3school.com - HTML Tutorial, CodeAcademy.com
- Test Your Code
Notes: Learn how to catch bugs, create tests, and break your software
Online Resources: Udacity - Software Testing Methods, Udacity - Software Debugging
- Develop logical reasoning and knowledge of discrete math
Resources: MIT Mathematics for Computer Science, Coursera -
Introduction to Logic, Coursera - Linear and Discrete Optimization,
Coursera - Probabilistic Graphical Models, Coursera - Game Theory
- Develop strong understanding of Algorithms and Data Structures
Learn about fundamental data types (stack, queues, and bags), sorting
algorithms (quicksort, mergesort, heapsort), and data structures (binary
search trees, red-black trees, hash tables), Big O.
Resources: MIT Introduction to Algorithms, Coursera Introduction to
Algorithms Part 1 & Part 2, List of Algorithms, List of Data
Structures, Book: The Algorithm Design Manual
- Develop a strong knowledge of operating systems
Online Resources: UC Berkeley Computer Science 162
- Learn Artificial Intelligence Online Resources:
Stanford University - Introduction to Robotics, Natural Language Processing, Machine Learning
- Learn how to build compilers
Online Resources: Coursera - Compilers
- Learn cryptography
Online Resources: Coursera - Cryptography, Udacity - Applied Cryptography
- Learn Parallel Programming
Online Resources: Coursera - Heterogeneous Parallel Programming
Recommendations for Non-Academic Learnings
Work on project outside of the classroom.
Notes: Create and maintain a website, build your own server, or build a robot.
Online Resources: Apache List of Projects, Google Summer of Code, Google Developer Group
on a small piece of a large system (codebase), read and understand
existing code, track down documentation, and debug things.
Notes: Github is a great way to read other people’s code or contribute to a project.
Online Resources: Github, Kiln
Work on project with other programmers.
Notes: This will help you improve your ability to work well in a team and enable you to learn from others.
Practice your algorithmic knowledge and coding skills
Practice your algorithmic knowledge through coding competitions like
CodeJam or ACM’s International Collegiate Programming Contest.
Online Resources: CodeJam, ACM ICPC
Become a Teaching Assistant
Notes: Helping to teach other students will help enhance your knowledge in the subject matter.
Internship experience in software engineering
Make sure you apply for internships well in advance of the period
internships take place. In the US, internships take place during the
summer, May-September, and applications are usually open several months