Udacity

Full-Stack Interview Prep (Udacity)

Offered by Udacity,

Confidently take on the tech interview. This course is an excellent way to prepare for technical interviews. You’ll experience a mock interview, and review detailed analysis on how to field key industry questions. You’ll review common Full Stack Web Developer interview topics like palindrome functions and data structures. You’ll also learn best practices for behavioral questions and whiteboard problems. Upon completing this course, you’ll be ready to showcase your skills during your Full Stack Web Developer interview!

Class Deals by MOOC List - Click here and see Udacity's Active Discounts, Deals, and Promo Codes.

Making it to the interview is a huge achievement in your job search! Be ready to put your best foot forward. This course gives you insights into how interviewers think. Experienced technical hiring managers will show you how to answer questions with confidence. You will observe successful interviewing behaviors, and practice your own responses. Learn how to break down the steps to answer whiteboarding questions. Then, watch a simulated technical interview. Observe the applicant's responses, and hear the interviewer's feedback on those answers. This course will help you tackle technical interview questions with confidence and poise.
Udacity partners with tech industry leaders to bring you the most comprehensive resources for your job search. Join this course if you want to be in the driver’s seat of your job search where you decide which roles to interview for and land those interviews!

What You Will Learn

Lesson 1
Interview Practice

Understand how to answer questions like "What happens when you go to google.com?"
Dive deep into website security questions
Learn methods to continue practicing and preparing for the interview

Prerequisites and Requirements

Python (intermediate)
HTML (intermediate)

Go to Class

MOOC List is learner-supported. When you buy through links on our site, we may earn an affiliate commission.

Related Courses

Coursera

University of California, San Diego,Higher School of Economics - HSE University

Genome Assembly Programming Challenge (Coursera)

CS: Software Engineering CS: Theory

In Spring 2011, thousands of people in Germany were hospitalized with a deadly disease that started as food poisoning with bloody diarrhea and often led to kidney failure. It was the beginning of the deadliest outbreak in recent history, caused by a mysterious bacterial strain that we will refer to as E. coli X. Soon, German officials linked the outbreak to a restaurant in Lübeck, where nearly 20% of the patrons had developed bloody diarrhea in a single week. At this point, biologists knew that they were facing a previously unknown pathogen and that traditional methods would not suffice – computational biologists would be needed to assemble and analyze the genome of the newly emerged pathogen.

Jun 1st 2026

3 Weeks

Programming Algorithms Data Structures

Coursera

University of California, San Diego,Higher School of Economics - HSE University

Advanced Algorithms and Complexity (Coursera)

CS: Software Engineering CS: Theory

You've learned the basic algorithms now and are ready to step into the area of more complex problems and algorithms to solve them. Advanced algorithms build upon basic ones and use new ideas. We will start with networks flows which are used in more typical applications such as optimal matchings, finding disjoint paths and flight scheduling as well as more surprising ones like image segmentation in computer vision.

Jun 1st 2026

5-12 Weeks

Algorithms Data Structures Machine Learning

Udacity

Udacity,Google

Refresh Your Resume (Udacity)

Personal and Professional Development Computer Science

Stand out and land a technical interview. Your resume is the first step in the job search. Through this course, you will identify the companies you want to work for, and showcase your key achievements to align with their roles. With our proven industry framework, you will build a tech-focused resume that will help you get noticed and land the interview.

Self Paced

Self-Paced

Career Resume Interview

Udacity

Machine Learning Interview Preparation (Udacity)

Personal and Professional Development Data Science

Prove your qualifications in your machine learning interviews. In this course, you’ll learn exactly what to expect during a machine learning interview. You’ll cover all the common questions and technical strategies, and review a range of important topics, from machine learning algorithms to image categorization. You’ll also learn best practices for data structure questions and whiteboard problems, and at the end of the course, you’ll get unlimited access to mock interviews on Pramp.

Self Paced

Self-Paced

Machine Learning Career Interview

Coursera

Coursera Project Network

Aprenda cómo buscar trabajo con Indeed (Coursera)

Business

Al final de este proyecto, podrá buscar el trabajo exacto en el que desea estar, en la ubicación correcta, con el salario que usted desea. También sabrá dónde buscar información salarial precisa, datos de la empresa y cómo encontrar información sobre una certificación. Todo esto lo aprenderemos utilizando el sitio web Indeed, el cual ha sido creado para conseguir estos objetivos y es una herramienta poderosa hoy en día para la búsqueda de trabajo en muchos lugares del mundo.

Jun 1st 2026

Self-Paced

Job Interview Job Search

Udacity

iOS Interview Prep (Udacity)

Personal and Professional Development Computer Science

Confidently take on the tech interview. This course is an excellent way to prepare for technical interviews. You’ll experience a mock interview, and review detailed analysis on how to field key industry questions. You’ll review common iOS Developer interview topics ranging from notifications and delegates to the model view controller, and learn best practices for behavioral questions and whiteboard problems.

Self Paced

Self-Paced

iOS Interview iOS Development

Coursera

Nanjing University

Data Processing Using Python (Coursera)

CS: Software Engineering Statistics & Data Analysis

This course is mainly for non-computer majors. It starts with the basic syntax of Python, to how to acquire data in Python locally and from network, to how to present data, then to how to conduct basic and advanced statistic analysis and visualization of data, and finally to how to design a simple GUI to present and process data, advancing level by level.

Jun 1st 2026

5-12 Weeks

Python Data Structures Data Analysis

Coursera

University of Illinois at Urbana-Champaign

Unordered Data Structures (Coursera)

CS: Software Engineering Computer Science

The Unordered Data Structures course covers the data structures and algorithms needed to implement hash tables, disjoint sets and graphs. These fundamental data structures are useful for unordered data. For example, a hash table provides immediate access to data indexed by an arbitrary key value, that could be a number (such as a memory address for cached memory), a URL (such as for a web cache) or a dictionary.

Jun 3rd 2026

4 Weeks

Algorithms Data Structures Graph Algorithms

Coursera

University of California, San Diego,Higher School of Economics - HSE University

Data Structures (Coursera)

CS: Software Engineering CS: Theory

A good algorithm usually comes together with a set of good data structures that allow the algorithm to manipulate the data efficiently. In this course, we consider the common data structures that are used in various computational problems. You will learn how these data structures are implemented in different programming languages and will practice implementing them in our programming assignments.

Jun 1st 2026

5-12 Weeks

Algorithms Data Structures Priority Queues

Coursera

Duke University

Java Programming: Arrays, Lists, and Structured Data (Coursera)

CS: Software Engineering CS: Programming

Build on the software engineering skills you learned in “Java Programming: Solving Problems with Software” by learning new data structures. Use these data structures to build more complex programs that use Java’s object-oriented features. At the end of the course you will write an encryption program and a program to break your encryption algorithm.

Jun 1st 2026

4 Weeks

Programming Java Cryptography

Coursera

Stanford University

Shortest Paths Revisited, NP-Complete Problems and What To Do About Them (Coursera)

CS: Software Engineering CS: Theory

The primary topics in this part of the specialization are: shortest paths (Bellman-Ford, Floyd-Warshall, Johnson), NP-completeness and what it means for the algorithm designer, and strategies for coping with computationally intractable problems (analysis of heuristics, local search).

Jun 1st 2026

4 Weeks

Algorithms Data Structures Dynamic Programming

Coursera

Princeton University

Algorithms, Part I (Coursera)

CS: Software Engineering CS: Theory

This course covers the essential information that every serious programmer needs to know about algorithms and data structures, with emphasis on applications and scientific performance analysis of Java implementations. Part I covers elementary data structures, sorting, and searching algorithms. Part II focuses on graph- and string-processing algorithms.

Jun 1st 2026

5-12 Weeks

Programming Java Algorithms