7 Must-Take Free Udacity Courses for Everyone in 2024

In today’s competitive job market, graduate students are constantly seeking ways to enhance their skills and knowledge. One of the best ways to do this is through online courses, and Free Udacity Courses offer an excellent opportunity for students to learn valuable skills without the financial burden. In 2024, several free courses stand out as must-takes for every graduate student. This post will explore seven of the best free Udacity courses that can help you advance your career and improve your skill set.

Also, Read : Amazon Team Lead Intern For Graduate students in Maharashtra Apply Now 2024

Also, Read : Data Engineer Internship At Platformatory Labs For college student Stipend Rs.25k, Apply Now 2024

About the Udacity

Udacity, Inc. is an American for-profit educational organization founded by Sebastian Thrun, David Stavens, and Mike Sokolsky offering massive open online courses.

According to Thrun, the origin of the name Udacity comes from the company’s desire to be “audacious for you, the student”. While it originally focused on offering university-style courses, it now focuses more on vocational courses for professionals. Accenture agreed to acquire the company in March 2024.

Udacity is the outgrowth of free computer science classes offered in 2011 through Stanford University.

Thrun has stated he hopes half a million students will enroll, after an enrollment of 160,000 students in the predecessor course at Stanford, Introduction to Artificial Intelligence, and 90,000 students had enrolled in the initial two classes as of March 2012. Udacity was announced at the 2012 Digital Life Design Conference. Udacity is funded by venture capital firm, Charles River Ventures, and $200,000 of Thrun’s personal money.

In October 2012, the venture capital firm Andreessen Horowitz led the investment of another $15 million in Udacity. In November 2013, Thrun announced in a Fast Company article that Udacity had a “lousy product” and that the service was pivoting to focus more on vocational courses for professionals and “nanodegrees.

In 2014, the Georgia Institute of Technology launched the first “massive online open degree” in computer science by partnering with Udacity and AT&T; a complete master’s degree through that program costs students $7,000.

Eligibility Criteria

7 Must-Take Free Udacity Courses for Everyone in 2024.

Here Are 7 Must-Take Free Udacity Courses

1. Introduction to Python Programming

Why Python Programming

Welcome to Introduction to Python! Here’s an overview of the course.

Data Types and Operators

Familiarize yourself with the building blocks of Python! Learn about data types and operators, built-in functions, type conversion, whitespace, and style guidelines.

Data Structures

Use data structures to order and group different data types together! Learn about the types of data structures in Python, along with more useful built-in functions and operators.

Control Flow

Build logic into your code with control flow tools! Learn about conditional statements, repeating code with loops and useful built-in functions, and list comprehensions.

Functions

Learn how to use functions to improve and reuse your code! Learn about functions, variable scope, documentation, lambda expressions, iterators, and generators.

Scripting

Set up your own programming environment to write and run Python scripts locally! Learn good scripting practices, interact with different inputs, and discover awesome tools.

Advanced Topics

In this lesson, we cover some advanced topics of iterators and generators. You are not required to complete this but we have provided these to give you a taste of these.

Course Link Click Here

Also, Read : SBI Foundation Scholarship Program 2024 [UG, PG, IIT & IIM Students, Amount Upto Rs….

Also, Read : SBIF Asha Scholarship Program 2024 For School, UG, PG, IIT & IIM Students [Scholarship…

2. Developing Android Apps with Kotlin

Learn to architect and develop Android apps in the Kotlin programming language using industry-proven tools and libraries. Create apps in less time, writing less code, with fewer errors.

Build your First App

Build your first app: “Dice Roller” that covers basic Android components like displaying texts and images as well as a tour of the Android tools you’ll be using throughout this course.

Layouts

Designing your app’s UI is the first step to a great user experience. This lesson covers all the basics of UI layout design. You’ll use all the popular view types with a focus on the ContraintLayout.

App Navigation

Building multiple screens on Android has never been easier with the Navigation library. You’ll get to build a fun trivia app using multiple fragments and conditional navigation.

Activity & Fragment Lifecycle

Understanding the concept of Lifecycles for both activities and fragments is what makes a great Android developer! Have a treat with this delicious “Dessert Pusher” app.

App Architecture (UI Layer)

With Architecture Components you’ll have the power to design even the most complicated app ideas. Combine ViewModels with LiveData to build this super fun “Guess it” game.

App Architecture (Persistence)

This lesson is all about data persistence, there are many ways to storing data permanently, but with Room things have become even easier than ever before!

RecyclerView

Everything is better in a list! Recycler View has been – and continues to be – an essential component of any app design. This lesson is all about making your app better with Recycler Views.

Connect to the Internet

Need some live data in your app? In this lesson you’ll use Retrofit to communicate with any API service out there. You’ll also use Glide to display images from the web.

Behind the Scenes

Not everything is displayed on the screen. In Android, there’s so much happening in the background and you’ll get to build your own background services and tasks in this lesson.

Designing for Everyone

Coming up with a good design for an app is always hard, but creating a great design is more than just colors and layouts. Let’s build an app that is designed for everyone,

Course Link Click Here

3. Intro to Machine Learning

This class will teach you the end-to-end process of investigating data through a machine learning lens, and you’ll apply what you’ve learned to a real-world data set.

Welcome to Machine Learning

Meet with Sebastian and Katie to discuss machine learning.

Naive Bayes

Learn about classification, training and testing, and run a naive Bayes classifier using Scikit Learn.

SVM

Build an intuition about how support vector machines (SVMs) work and implement one using scikit-learn.

Decision Trees

Learn about how the decision tree algorithm works, including the concepts of entropy and information gain.

Choose Your Own Algorithm

In this mini project, you will extend your toolbox of algorithms by choosing your own algorithm to classify terrain data, including k-nearest neighbors, AdaBoost, and random forests.

Datasets and Questions

Find out about the Enron data set used in the next lessons and mini-projects.

Regressions

See how we can model continuous data using linear regression.

Outliers

Sebastian discusses outlier detection and removal.

Clustering

Learn about what unsupervised learning is and find out how to use scikit-learn’s k-means algorithm.

Feature Scaling

Learn about feature rescaling and find out which algorithms require feature rescaling before use.

Feature Selection

Katie discusses when and why to use feature selection, and provides some methods for doing this

Course Link Click Here

4. Intro to TensorFlow for Deep Learning

Dive into deep learning with this practical course on TensorFlow and the Keras API. Gain an intuitive understanding of neural networks without the dense jargon. Learn to build, train, and optimize your own networks using TensorFlow. The course also introduces transfer learning, leveraging pre-trained models for enhanced performance. Designed for swift proficiency, this course prioritizes hands-on learning and real-world applications.

Course Link Click Here

5. Version Control with Git

This course covers the essentials of using the version control system Git. You’ll be able to create a repo, commit changes, review the history of commits, work with branches, and undo mistakes.

Course Link Click Here

6. Kotlin Bootcamp for Programmers

Introduction

Set up IntelliJ, the IDE that we will use in this course, and understand the major benefits of learning and using Kotlin.

Kotlin Basics

Use the Kotlin interpreter to get comfortable with basic language features. Write Kotlin statements and expressions, and practice using operators.

Functions

Create and call functions with default and variable arguments. Pass functions as arguments to filters, and program simple lambdas.

Classes

Learn how object-oriented programming works in Kotlin. Build private and public classes, including abstract classes and interfaces. Understand data classes and special purpose classes.

Kotlin Essentials: Beyond the Basics

Learn about more advanced features such as pairs, annotations, and extension functions. Understand how to use constants, collections, and generics in Kotlin.

Course Link Click Here

Also, Read : Technical Content Writer Internship At CodeMode For college student Stipend Rs.10k, Apply Now 2024

Also, Read : IIT Kanpur Offering Senior Project Associate Job For Graduate Students Apply By 2024

7. Intro to Deep Learning with PyTorch

Learn the basics of deep learning, and build your own deep neural networks using PyTorch, an open source machine learning library used for applications such as NLP and Computer Vision.

Welcome to the course!

Welcome to this course on deep learning with PyTorch!

Introduction to Neural Networks

Learn the concepts behind how neural networks operate and how we train them using data.

Talking PyTorch with Soumith Chintala

Hear from Soumith Chintala, the creator of PyTorch, about the past, present, and future of the PyTorch framework.

Introduction to PyTorch

Learn how to use PyTorch to build and train deep neural networks. By the end of this lesson, you will build a network that can classify images of dogs and cats with state-of-the-art performance.

Convolutional Neural Networks

Learn how to use convolutional neural networks to build state-of-the-art computer vision models.

Course Link Click Here

For More Update Join My Telegram Channel Click Here