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C++

Learn C++, a high-performance programming language used in the world's most exciting engineering jobs -- from self-driving cars and robotics to web browsers, media platforms, servers, and video games.

  • Nanodegree Program
  • Intermediate
  • 42 hours
  • 4.6 (811)
  • Updated: Jan 19, 2026

Subscription · Monthly

  • Cancel Anytime
  • Unlimited access to hundreds of top-rated courses
  • Hands-on projects with expert feedback
  • Personalized career coaching and interview prep
  • Program Certificates

Skills you'll learn

59 skills

  • Concurrent computing
  • Computer memory architecture
  • Dynamic memory allocation
  • C++ copy and move semantics
  • Heap memory

Prerequisites

5 prerequisites

Prior to enrolling, you should have the following knowledge:

  • Basic C++
  • C++ control flow
  • C++ functions
  • Basic Linux
  • Intermediate computer programming

You will also need to be able to communicate fluently and professionally in written and spoken English.

Program Outline

  • 4 courses
  • 17 lessons
  • 4 projects

Skills that demand high salaries

The job outlook for software engineers, including those proficient in C++, remains highly positive. The U.S. Bureau of Labor Statistics projects a robust 25% growth rate in employment for software engineers from now until 2031.*

C++ Engineer

Salary info from Talent.com
  • Low

    $90,000
  • Average

    $120,427
  • High

    $170,000

Program Instructors

4 instructors

Unlike typical professors, our instructors come from Fortune 500 and Global 2000 companies and have demonstrated leadership and expertise in their professions:

Ishan Gosain

Engineering Manager at Rivian and VW Technology Group

Kedar Kodgire

Data and Cloud Engineering Lead

Aspen Olmsted

Associate Professor of Computer Science

Andrew Sanford

Cybersecurity Engineer

Ishan Gosain

Engineering Manager at Rivian and VW Technology Group

Kedar Kodgire

Data and Cloud Engineering Lead

Aspen Olmsted

Associate Professor of Computer Science

Andrew Sanford

Cybersecurity Engineer

Reviews

Average Rating: 4.6 (811 Reviews)

A complete and comprehensive intro to ML

Iraklis K

Mar 8, 2026

The course is "ML with Pytorch" implying there would be algorithms implementing in supervised and unsupervised ML models as well a neural network using Pytorch, which could be interesting.. But it just rehashes material using scikit-learn from other nanodegrees. And even the course on neural networks is material all cribbed from the "AI programming with Python" nanodegree. Just a way to recombine existing material to sell another product.

Karen F

Jan 12, 2026

everything were explained very well

abdulrahman a.

Jul 19, 2022

Decent.

Omer A.

Apr 27, 2022

Good , yes Definitely but would need more time to understand the concepts in details. Because we are learning a lot of concepts

Narendhra Kumar M.

Mar 11, 2022

Subscription · Monthly

  • Cancel Anytime
  • Unlimited access to hundreds of top-rated courses
  • Hands-on projects with expert feedback
  • Personalized career coaching and interview prep
  • Program Certificates

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