Technical Development Guide
This guide provides tips and resources to help you develop your technical skills (academically and non-academically) through self-paced, hands-on learning.
This guide is intended for Computer Science students seeking an internship or university grad role at Google.
What this guide is for
- You can use this guide to determine which courses to take, but be sure stay on track with your courses required for your major to graduate.
- We encourage you to learn more outside of this guide. The more you know, the better!
- The online resources we’ve cited aren’t meant to replace courses available at your university, but they may help supplement your education or provide an introduction to a topic.
- The information and recommendations in this guide were gathered through our work with students and candidates in the field. It is a work-in-progress, a living document, so be sure to periodically check back for updates.
Note: Following the recommendations in the guide does not guarantee a job at Google.
How to use this guide
- The guide lists topics and resources in a rough progression, from possible places to begin if you have little or no technical skills, to resources for those with increasing skills, to ways to gain exposure in the Computer Sciences field.
- You can use any of the resources you want, in any order.
Recommendations and Resources
Take an “Introduction to CS” course Focus on basic coding instructions.
Learn to code in (at least) one object-oriented programming language (C++, Java®, Python®) Online resources for beginning programmers:
- Java Programming: An Introduction to Software, Duke University, Coursera
- Learn to Program: The Fundamentals, University of Toronto, Coursera
- Introduction to Programming in Java, MIT
- Google's Python Class
- Introduction to Interactive Programming in Python, Rice University, Coursera
Online resources for more experienced programmers:
- Java Programming: Data Structures and Beyond, University of California San Diego, specialization on Coursera
- Design of Computer Programs, Udacity
- Learn to Program: Crafting Quality Code, University of Toronto, Coursera
- Introduction to Programming Languages, Brown University
Learn other programming languages Add to your repertoire:
- CSS & HTML
- Shell® script
Test your code Learn how to catch bugs, create tests, and break your software.
Develop logical reasoning and knowledge of discrete math Online resources:
- Mathematics for Computer Science, MIT
- Introduction to Mathematical Thinking, Stanford, Coursera
- Probabilistic Graphical Models, Stanford, Coursera
- Game Theory, Stanford and University of British Columbia, Coursera
Develop a strong understanding of algorithms and data structures Learn about fundamental data types (stack, queues, and bags), sorting algorithms (quicksort, mergesort, heapsort), data structures (binary search trees, red-black trees, hash tables), and Big O.
- Introduction to Algorithms, MIT
- Algorithms Part 1 & Algorithms Part 2, Princeton, Coursera
- List of Algorithms, Wikipedia
- List of Data Structures Wikipedia
- Book: The Algorithm Design Manual, Steven S. Skiena
Develop a strong knowledge of operating systems Online resources:
Computer Science 162, UC Berkeley, YouTube
Learn artificial intelligence and machine learning Online resources:
- Machine Learning Engineer nanodegree, Udacity
- Deep Learning, Udacity
- Introduction to Robotics, Stanford University
- Machine Learning, Stanford University
Learn Android development Online resources:
- Google Developer Training for Android, on Udacity
Learn web development Online resources:
- Google Developer Training for Web, on Udacity
Learn other developer skills Online resources:
Learn cryptography Online resources:
Work on projects outside of the classroom Create and maintain a website, build your own server, or build a robot.
- Capstone project: Analyzing (Social) Network Data - scroll down to bottom of page,
- Capstone project: Java Programming: A DIY Version of Netflix and Amazon Recommendation Engines, Duke University, Coursera
- Project Directory, Apache
- Google Summer of Code Project Archive
Work on a small piece of a large system (codebase), read and understand existing code, track down documentation, and debug GitHub is a great way to read other people’s code or contribute to a project.
Work on projects with other programmers 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.
Become a teaching assistant Helping to teach other students will help enhance your knowledge of the subject matter.
Online resource to prepare to interview for software engineering positions, including for internships:
- Mastering the Software Engineering Interview, UCSD, Coursera