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 Michigan

Python Data Structures (Coursera)

CS: Software Engineering CS: Programming

This course will introduce the core data structures of the Python programming language. We will move past the basics of procedural programming and explore how we can use the Python built-in data structures such as lists, dictionaries, and tuples to perform increasingly complex data analysis. This course will cover Chapters 6-10 of the textbook “Python for Everybody”. This course covers Python 3.

Jul 27th 2026

5-12 Weeks

Programming Python Semantics

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

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.

Jul 27th 2026

4 Weeks

Programming Java Cryptography

Udacity

Data Structures & Algorithms in Swift (Udacity)

Computer Science

Confidently take on the tech interview. Technical interviews follow a pattern. If you know the pattern, you’ll be a step ahead of the competition. This course will introduce you to common data structures and algorithms in Swift. You'll review frequently-asked technical interview questions and learn how to structure your responses. You will answer practice problems and quizzes to test your abilities. Then you'll practice mock interviews to get specific recommendations for improvement. Be ready for anything the technical interviewer throws at you.

Self Paced

Self-Paced

Algorithms Data Structures Interview

Coursera

University of Maryland, College Park

Successful Interviewing (Coursera)

Languages & Literature

The goal of hiring managers is not just to hire people who need a job. It’s to hire people who believe in their organization, its mission and the work that’s involved in the job position. Every hiring manager knows: Hire people to do a job and they’ll work for your money. Hire people who believe in the work and they’ll work for their passion. And this is not a case of “fake it until you make it.” You have to be genuine about your belief in an organization and its mission. That means you have to have researched the industry, the company, and the position – and be able to show how your goals in life align with the company’s mission.

Aug 3rd 2026

5-12 Weeks

Interview Communication Interviewing

Coursera

CertNexus

Solve Business Problems with AI and Machine Learning (Coursera)

Data Science

Artificial intelligence (AI) and machine learning (ML) have become an essential part of the toolset for many organizations. When used effectively, these tools provide actionable insights that drive critical decisions and enable organizations to create exciting, new, and innovative products and services. This is the first of four courses in the Certified Artificial Intelligence Practitioner (CAIP) professional certification. This course is meant as an entry point into the world of AI/ML. You'll learn about the business problems that AI/ML can solve, as well as the specific AI/ML technologies that can solve them. In addition, you'll get an overview of the general workflow involved in machine learning, as well as the tools and other resources that support it.

Jul 27th 2026

4 Weeks

ML Artificial Intelligence Data Structures

Coursera

University of Colorado System

Genetic Epidemiology Foundations (Coursera)

Health & Society

This course is designed to provide students with the foundation necessary to conduct statistical analysis of genetic association study data. This course includes topics such as quality control in genetic studies, population-based case-control association studies, genome-wide association studies, and foundational concepts in population genetics and the history of genetics research. Examples of concepts and reference literature are provided in this 6-module course.

Aug 3rd 2026

5-12 Weeks

Data Structures Epidemiology Population Genetics

Coursera

Rice University

Principles of Computing (Part 2) (Coursera)

CS: Software Engineering CS: Theory

This two-part course introduces the basic mathematical and programming principles that underlie much of Computer Science. Understanding these principles is crucial to the process of creating efficient and well-structured solutions for computational problems. To get hands-on experience working with these concepts, we will use the Python programming language. The main focus of the class will be weekly mini-projects that build upon the mathematical and programming principles that are taught in the class.

Aug 10th 2026

4 Weeks

Programming Python Computing

Coursera

University of Maryland, College Park

Advanced Interviewing Techniques (Coursera)

Languages & Literature

People interviewing for jobs today often fail because they are using yesterday's strategies. Recruiting technology has become more sophisticated, and the best employers are constantly changing the way interviews are done. This course gives you detailed strategies for handling tough competency-based, or behavioral, interviews so that you can communicate the knowledge, skills, and abilities that you have and that employers demand.

Aug 10th 2026

5-12 Weeks

Interview Communication Interviewing

Udacity

Data Science Interview Prep (Udacity)

Personal and Professional Development Data Science

Confidently take on the tech interview. Data science job interviews can be daunting. Technical interviewers often ask you to design an experiment or model. You may need to solve problems using Python and SQL. You will likely need to show how you connect data skills to business decisions and strategy. In this course, you'll review the common questions asked in data science, data analyst, and machine learning interviews.

Self Paced

Self-Paced

Data Structures Machine Learning Interview

Udacity

Georgia Institute of Technology,Udacity

Data Analysis and Visualization (Udacity)

Statistics & Data Analysis Data Science

Data and visual analytics is an emerging field concerned with analyzing, modeling, and visualizing complex high dimensional data. This course will introduce students to the field by covering state-of-the-art modeling, analysis and visualization techniques. It will emphasize practical challenges involving complex real world data and include several case studies and hands-on work with the R programming language.

Self Paced

Self-Paced

Data Structures Regression Data Analysis

Coursera

University of Michigan

Estruturas de dados Python (Coursera)

CS: Software Engineering CS: Programming

Este curso apresentará as estruturas de dados centrais da linguagem de programação Python. Vamos superar os fundamentos da programação de procedimentos e explorar como podemos usar as estruturas de dados integradas do Python, como listas, dicionários e tuplas, para realizar análises de dados cada vez mais complexas. Este curso cobrirá os capítulos 6 a 10 do livro “Python para Todos”. Este curso aborda o Python 3.

Aug 10th 2026

5-12 Weeks

Programming Python Semantics