20 Best Udacity Free Courses With A Certificate In 2023
- Sonalika
- Updated Date: August 17, 2023
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If you want to learn new skills and further your knowledge, Udacity is a great place to do that. Giving you access to explore hundreds of online Udacity free courses and educational videos.
Udacity is an online education platform that offers courses in programming, artificial intelligence, data science, and other fields of education. It was founded in 2011 by Sebastian Thrun, a former professor at Stanford University, and two of his colleagues. best udacity free courses offers both free and paid courses, and it has become a popular resource for those seeking to learn new skills and advance their careers. Udacity’s courses are designed to be engaging and interactive, with videos, quizzes, and projects.
The free online courses that you can take up from home. are usually divided into sections, which students can work through at their own pace. Students can also use the platform to connect with other learners and instructors, and ask questions or receive feedback. Udacity review also provides certificates for those who complete courses, allowing them to demonstrate their accomplishments to potential employers. Many of the courses have been developed in collaboration with industry partners, such as Google and IBM, allowing students to learn from experts in the field and gain benefits from online learning.
The platform also provides resources for career development, such as resume building, job search advice, and interview preparation. In addition, best udacity free courses offers a range of career services, including career guidance, skill-building, and job postings. Students can also take advantage of Udacity’s Nanodegree cost programs, which are designed to provide comprehensive, industry-relevant learning experiences. Udacity has become a popular platform for those looking to gain new skills or advance their career. With its accessible format and wide range of courses, Udacity can provide an ideal learning experience for those seeking to improve their knowledge and gain valuable credentials.
| Best udemy data analytics courses | Level | Time |
|---|---|---|
|
Programming for Data Science with Python |
Beginner
|
3 MonthsAt 10 hrs/week |
|
Intro to Theoretical Computer Science |
Intermediate |
2 Months |
|
Intro to data analysis |
Intermediate |
1 month |
|
Intro to Machine Learning with TensorFlow |
Intermediate |
3 months |
|
Natural Language Processing |
Advanced |
3 Months |
|
Intro to Statistics |
Beginner |
2 Months |
|
Artificial Intelligence with AWS |
Intermediate |
2 Months |
|
Introduction to Data Science |
Intermediate |
1 month |
|
Self-Driving Car Engineer |
Advanced |
5 Months |
|
Data Visualization |
Beginner |
4 Months |
|
AI Programming with Python |
Beginner |
3 Months |
|
Blockchain Developer |
Intermediate |
4 Months |
|
Introduction to Cybersecurity |
Beginner |
4 Months |
|
Data Engineering with AWS |
Intermediate |
4 Months |
|
Discovering DevOps |
Beginner |
1 Months |
|
Discovering Autonomous Systems |
Beginner |
1 Hour |
|
Deep Learning
|
Intermediate |
4 Months |
|
Intro to Internet of Things |
Beginner |
2 Months |
|
React |
Intermediate |
2 Months |
|
Introduction to Cybersecurity for Business |
Beginner |
1 Month |
Table of Contents
How to Register with Udacity?
Registering with Udacity is a straightforward process. Here are the steps to follow:
- Go to the Udacity website, and select the “Sign Up” option.
- Enter your basic information such as your name, email address, and a secure password.
- Agree to the Terms & Conditions and choose whether or not to receive promotional emails from Udacity.
- Select the “Create Account” button.
- Once you have created and confirmed your account, you can start exploring Udacity’s courses.
- If you are interested in enrolling in a course, select the “Enroll” button on the course page.
- Enter your billing information and choose your preferred payment method.
- Once your payment is processed, you will be able to access the course and its content.
- To access the course materials and track your progress, select the “Classroom” button.
- As you progress through the course, you can communicate with your instructor, receive feedback on your assignments, and even take quizzes and exams.
Registering with Udacity is a straightforward process. All it takes is a few simple steps and you can be on your way to learning new skills and gaining valuable knowledge.
Introduction to Computer Science
This course is a great starting point for anyone wanting to learn the fundamentals of computer science. It covers topics such as algorithms, data structures, and programming paradigms. The course is taught by experienced professionals and is designed to be accessible to students of any background.
Pros & Cons
Pros
- It is a great introduction to computer science and will provide you with a good foundation of knowledge.
- It is taught by experienced professionals who are up-to-date with the latest trends in the field.
- It is free and accessible to everyone.
Cons
- It is a very broad course and can be overwhelming for some students.
- It does not cover any specific programming language.
This course includes:
10 hour per week for 3 months to complete
No formal prerequisites for the course
9 Lessons
Certificate of completion
Programming Foundations with Python
This course is an introduction to programming with the popular Python language. It covers topics such as variables, functions, and classes. It also includes an introduction to the popular Django web framework.
Pros & Cons
Pros
- It is a great course to learn the basics of programming in Python.
- It covers the popular Django web framework, which is useful for developing web applications.
- It is free and accessible to everyone.
Cons
- It does not cover more advanced topics such as object-oriented programming.
- The course does not teach any specific application development techniques.
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This course includes:
10 hour per week for 3 months to complete
No formal prerequisites for the course
6 Lessons
Certificate of completion
Data Analysis
This course is an introduction to data analysis with R, a popular statistical programming language. It covers topics such as data wrangling, visualization, and modeling.
Pros & Cons
Pros
- It is a great course to learn the basics of data analysis with R.
- It covers a wide range of topics, from data wrangling to modeling.
- It is free and accessible to everyone.
Cons
- It does not cover more advanced topics such as machine learning.
- The course does not teach any specific application development techniques.
This course includes:
10 hour per week for 4 months to complete
Some experience with programming in Python
7 Lessons
Certificate of completion
Intro to Machine Learning
Udacity’s Intro to Machine Learning course is designed to provide an overview of the fundamentals of machine learning and its applications. It covers topics such as supervised and unsupervised learning, linear and logistic regression, decision trees, neural networks, supervised learning algorithms, and unsupervised learning algorithms. It also covers several practical applications of machine learning, such as image recognition, natural language processing, and recommendation systems. The course is divided into two parts.
The first part focuses on the theoretical fundamentals of machine learning, including probability theory, linear algebra, and optimization theory. The second part is devoted to the practical applications of machine learning, such as supervised and unsupervised learning, linear and logistic regression, and decision trees. The course is self-paced, and students can work through the material at their own pace. It includes video lectures, interactive quizzes and assignments, and a final project. The course also comes with a Udacity Nanodegree program, which includes additional materials and a certificate of completion.
Pros & Cons
Pros
- It is a great course to learn the basics of machine learning.
- It covers a wide range of topics, from supervised learning to deep learning.
- It is free and accessible to everyone.
Cons
- It does not cover more advanced topics such as reinforcement learning.
- The course does not teach any specific application development techniques.
This course includes:
10 hour per week for 3 months to complete
Should have basic knowledge of linear algebra and calculus
11 Lessons
Certificate of completion
Natural Language Processing
This course is an introduction to natural language processing (NLP). It covers topics such as language modeling, text classification, and sentiment analysis.
Pros & Cons
Pros
- It is a great course to learn the basics of natural language processing.
- It covers a wide range of topics, from language modeling to sentiment analysis.
- It is free and accessible to everyone.
Cons
- It does not cover more advanced topics such as information retrieval.
- The course does not teach any specific application development techniques.
This course includes:
10 hour per week for 3 months to complete
Should have basic understanding of machine learning concepts.
13 Lessons
Certificate of completion
Introduction to Statistics
This course is an introduction to the field of statistics. It covers topics such as probability, hypothesis testing, and regression.
Pros & Cons
Pros
- It is a great course to learn the basics of statistics.
- It covers a wide range of topics, from probability to regression.
- It is free and accessible to everyone.
Cons
- It does not cover more advanced topics such as Bayesian statistics.
- The course does not teach any specific application development techniques.
This course includes:
10 hour per week for 2 months to complete
some experience with algebra and basic knowledge of calculus
11 Lessons
Certificate of completion
Intro to Artificial Intelligence
Udacity’s Natural Language Processing (NLP) course provides an overview of the field of natural language processing. It covers the fundamentals of NLP, including text analysis, information extraction, and semantic analysis. The course also introduces popular NLP libraries, such as NLTK and spaCy, and deep learning frameworks, such as TensorFlow and Keras. Students learn the basics of natural language processing, including text preprocessing, tokenization, and text classification. They also explore more advanced topics such as sentiment analysis, word embeddings, and machine translation.
By the end of the course, students will have a comprehensive understanding of the fundamentals of NLP and be able to apply them to their projects. The course is designed for anyone interested in learning about natural language processing. Students should have some basic programming experience and an understanding of basic statistics.
Pros & Cons
Pros
- It is a great course to learn the basics of artificial intelligence.
- It covers a wide range of topics, from search algorithms to robotics.
- It is free and accessible to everyone.
Cons
- It does not cover more advanced topics such as neural networks.
- The course does not teach any specific application development techniques.
This course includes:
10 hour per week for 4 months to complete
Should have some experience with programming in Python
8 Lessons
Certificate of completion
Intro to Data Science
This course is an introduction to the field of data science. It covers topics such as data wrangling, visualization, and machine learning.
Pros & Cons
Pros
- It is a great course to learn the basics of data science.
- It covers a wide range of topics, from data wrangling to machine learning.
- It is free and accessible to everyone.
Cons
- It does not cover more advanced topics such as deep learning.
- The course does not teach any specific application development techniques
This course includes:
10 hour per week for 4 months to complete
Should have basic understanding of statistics
14 Lessons
Certificate of completion
Self-Driving Car Engineer
This course is an introduction to the field of self-driving cars. It covers topics such as computer vision, sensor fusion, and motion planning.
Pros & Cons
Pros
- It is a great course to learn the basics of self-driving cars.
- It covers a wide range of topics, from computer vision to motion planning.
- It is free and accessible to everyone.
Cons
- It does not cover more advanced topics such as autonomous systems.
- The course does not teach any specific application development techniques.
This course includes:
10-15 hour per week for 9-12 months to complete
Recommend Intro to Self-Driving
70 Lessons
Certificate of completion
Data Visualization
This course is an introduction to the field of data visualization. It covers topics such as data wrangling, visual design principles, and data storytelling.
Pros & Cons
Pros
- It is a great course to learn the basics of data visualization.
- It covers a wide range of topics, from data wrangling to data storytelling.
- It is free and accessible to everyone.
Cons
- It does not cover more advanced topics such as interactive visualization.
- The course does not teach any specific application development techniques.
This course includes:
10 hour per week for 3 months to complete
Should Have basic understanding of statistics
11 Lessons
172 downloadable rescources
AI Programming with Python
This course is an introduction to artificial intelligence programming using the Python language. It covers topics such as supervised learning, unsupervised learning, and deep learning.
Pros & Cons
Pros
- It is a great course to learn the basics of AI programming with Python.
- It covers a wide range of topics, from supervised learning to deep learning.
- It is free and accessible to everyone.
Cons
- It does not cover more advanced topics such as reinforcement learning.
- The course does not teach any specific application development techniques.
This course includes:
10 hour per week for 4 months to complete
Basic knowledge of statistics and linear algebra
16 Lessons
Certificate of completion
Intro to Blockchain
This course is an introduction to the field of blockchain technology. It covers topics such as consensus algorithms, smart contracts, and distributed applications.
Pros & Cons
Pros
- It is a great course to learn the basics of blockchain technology.
- It covers a wide range of topics, from consensus algorithms to distributed applications.
- It is free and accessible to everyone.
Cons
- It does not cover more advanced topics such as distributed systems.
- The course does not teach any specific application development techniques.
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This course includes:
5-10 hour per week for 3 months to complete
Should have basic understanding of data structures and algorithms.
13 Lessons
Certificate of Completiton
Intro to Cybersecurity
This course is an introduction to the field of cybersecurity. It covers topics such as cryptography, authentication, and network security.
Pros & Cons
Pros
- It is a great course to learn the basics of cybersecurity.
- It covers a wide range of topics, from cryptography to network security.
- It is free and accessible to everyone.
Cons
- It does not cover more advanced topics such as malware analysis.
- The course does not teach any specific application development techniques.
This course includes:
5-10 hour per week for 3-4 week to complete
Prior knowledge of computer systems and networks
3 Lessons
Certificate of completion
Introduction to Data Engineering
This course is an introduction to the field of data engineering. It covers topics such as data modeling, database design, and data warehousing topics.
Pros & Cons
Pros
- It is a great course to learn the basics of data engineering.
- It covers a wide range of topics, from data modeling to data warehousing.
- It is free and accessible to everyone.
Cons
- It does not cover more advanced topics such as big data analytics.
- The course does not teach any specific application development techniques.
This course includes:
5-10 hour per week for 4 months to complete
some prior experience with programming
4 Lessons
Certificate of completion
Intro to Autonomous Systems
This course is an introduction to the field of autonomous systems. It covers topics such as robotics, artificial intelligence, and machine learning.
Pros & Cons
Pros
- It is a great course to learn the basics of autonomous systems.
- It covers a wide range of topics, from robotics to machine learning.
- It is free and accessible to everyone.
Cons
- It does not cover more advanced topics such as reinforcement learning.
- The course does not teach any specific application development techniques.
This course includes:
5-10 hour per week for 4 months to complete
10 Lessons
some prior experience with programming
Certificate of completion
Intro to Deep Learning
This course is an introduction to the field of deep learning. It covers topics such as neural networks, convolutional networks, and recurrent networks.
Pros & Cons
Pros
- It is a great course to learn the basics of deep learning.
- It covers a wide range of topics, from neural networks to recurrent networks.
- It is free and accessible to everyone.
Cons
- It does not cover more advanced topics such as generative models.
- The course does not teach any specific application development techniques.
This course includes:
5-10 hour per week for 3 months to complete
8 Lessons
Basic understanding of algebra and Python programming
Certificate of completion
Intro to DevOps
This course is an introduction to the field of DevOps. It covers topics such as automation, infrastructure as code, and continuous delivery.
Pros & Cons
Pros
- It is a great course to learn the basics of DevOps.
- It covers a wide range of topics, from automation to continuous delivery.
- It is free and accessible to everyone.
Cons
- It does not cover more advanced topics such as infrastructure scalability.
- The course does not teach any specific application development techniques.
This course includes:
5-10 hour per week for 4 months to complete
Should have familiarity with the command line.
5 Lessons
Certificate of completion
Intro to the Internet of Things
This course is an introduction to the field of the Internet of Things (IoT). It covers topics such as connectivity, data processing, and security.
Pros & Cons
Pros
- It is a great course to learn the basics of IoT.
- It covers a wide range of topics, from connectivity to security.
- It is free and accessible to everyone.
Cons
- It does not cover more advanced topics such as cloud computing.
- The course does not teach any specific application development techniques.
This course includes:
5-10 hour per week for 4 months to complete
10 Lessons
Basic knowledge of programming
Certificate of completion
Intro to React
Intro to React is an introductory course offered by Udacity. It is designed to provide students with an introduction to React, a popular JavaScript library used for building user interfaces. The course covers the fundamentals of React and how to use it to build web applications. It also covers the basics of React components, state, and props, as well as how to use React with Redux and other tools. The course is designed for beginners, but it will also help those with more experience.
It provides a detailed overview of the fundamentals of React, including how to create components and use props and state, as well as how to work with React and Redux. It also covers how to use React with React Native, as well as how to test and debug React applications. The course is self-paced and provides students with the necessary resources to complete the course. It includes videos, quizzes, and hands-on exercises to ensure students can understand the material. The course also includes a project that allows students to build a React application.
Pros & Cons
Pros
- It is a great course to learn the basics of React.
- It covers a wide range of topics, from components to state.
- It is free and accessible to everyone.
Cons
- It does not cover more advanced topics such as MobX.
- The course does not teach any specific application development techniques.
This course includes:
5-10 hour per week for 4 week to complete
4 Lessons
Should have basic HTML, CSS, and JavaScript knowledge
Certificate of completion
Introduction to Cybersecurity for Business
Udacity’s “Introduction to Cybersecurity for Business” course is designed to provide a comprehensive overview of the fundamentals of cybersecurity. The course covers topics such as cyber risk management, cyber threat intelligence, secure software development, and security operations. The course is broken down into several sections, each of which is followed by a series of quizzes and assignments to test your knowledge. The course is designed to give students an understanding of the basics of cybersecurity and how to apply them to real-world scenarios.
It begins by introducing the concept of cybersecurity and discussing the most common threats and vulnerabilities, as well as how to protect against them. It then moves on to teach students about cyber risk management, security strategies, and compliance requirements. The course also covers topics such as secure software development, security operations, incident response, and cyber threat intelligence. Students will learn about the different types of attacks, how to detect them, and how to respond to them. They will also learn about data security, encryption, and authentication.
Pros & Cons
Pros
- It is a great course to learn the basics of cybersecurity for businesses.
- It covers a wide range of topics, from risk management to compliance.
- It is free and accessible to everyone.
cons
- It does not cover more advanced topics such as security architecture.
- The course does not teach any specific application development techniques.
This course includes:
5 hour per week for 4 months to complete
3 Lessons
Some familiarity with computer systems and networks
Certificate of completion
Udacity Alternative's Top 6 Free Courses
The internet provides a wealth of resources for learning new skills, from free online courses to full-blown degrees. But if you’re looking for something a little different than the traditional online course, there are plenty of alternatives out there. Here are the top six free courses that offer a unique alternative to Udacity.
1. Codecademy
Codecademy is a great place to start for anyone looking to learn to code. With a wide range of courses and projects, you can learn the basics of popular programming languages like Python, HTML, and JavaScript. Plus, codecademy reviews offers interactive coursework with real-time feedback, which makes it easy to stay on track and reach your goals.
2. Khan Academy
Khan Academy offers free courses in a wide range of topics, from math and science to history and art. It also offers a personalized learning experience, so you can tailor your learning to your own goals and interests. Khan Academy also provides a great way to learn coding, with courses in HTML, CSS, and JavaScript.
3. Coursera
Coursera is an online learning platform that offers a variety of courses from leading universities and companies. Coursera review offers courses in a wide range of subjects, including business, computer science, and more. Between udacity vs coursera It also provides the opportunity to pursue verified certificates and even degrees.
4. edX
edX is another popular online learning platform that offers a variety of courses from top universities and organizations. edX review known for its focus on high-quality content and interactive learning experiences, and it offers a great way to learn coding, with courses in HTML, CSS, and JavaScript.
5. Udemy
Udemy is a great option for those looking to learn a new skill or brush up on their existing skills. With over 65,000 courses, Udemy offers a wide range of topics, from web development to photography. Plus, according to Udemy review has a great selection of free courses, so you can try them before you buy.
6. FreeCodeCamp
FreeCodeCamp is a great place to start for those looking to learn to code. It offers a full-stack web development curriculum, with courses in HTML, CSS, JavaScript, and more. Plus, FreeCodeCamp provides real-world projects to help you practice your coding skills. Ultimately, there are plenty of great alternatives to Udacity if you’re looking for something a little different. Whether you’re looking to learn to code or brush up on your existing skills, these six free courses are a great place to start.
Why decide on a Paid Udacity Course?
- Access to Expert Instruction: best udacity free courses are taught by industry experts with years of experience in their field. This gives students access to the most up-to-date information and knowledge available. Students can also ask questions and receive feedback from their instructors, which can help them to better understand the topics being studied.
- High-Quality Content: best udacity free courses are designed to be engaging and relevant. They are built with the latest technology and tools, so students can be sure they are receiving a high-quality learning experience.
- Flexibility: best udacity free courses are available to be taken anytime, anywhere. This means that students can work through their coursework at their own pace, without having to worry about fitting their studies into their busy schedules.
- Affordable: Paid Udacity courses are much more affordable than traditional college courses. They are often priced lower than the cost of textbooks alone, and students can save even more money by taking advantage of discounts and special offers.
- Career Advancement: Udacity courses can help students to advance their careers. They can gain the skills and knowledge necessary for the job they want, and this can help to open new doors for them.
- Networking Opportunities: Udacity courses are usually taken with a group of other students, which can provide networking opportunities. This can be an invaluable resource for students looking to make new connections and further their careers.
How much are Udacity Paid Courses & Programs?
| Program duration | Monthly Payment | Full Course Prepaid |
|---|---|---|
|
2-month Nanodegree
|
$718
($399 a month)
|
$678 for the program
($339 a month)
|
|
3-month Nanodegree |
$1,077
($399 a month)
|
$1,017 for the program
($339 a month)
|
|
4-month Nanodegree |
$1,436
($399 a month)
|
$1,356 for the program
($339 a month)
|
|
5-month Nanodegree |
$1,795 ($399 a month) |
$1695 for the program ($339 a month)
|
|
6-month Nanodegree |
$2,154
($399 a month)
|
$2034 for the program
($339 a month
|
The Last Thought:
Udacity’s free courses are a great way to learn new skills and stay up-to-date with the latest technology. In this article, we have looked at the top 20 free Udacity courses available and analyzed the pros and cons of each. From introductory courses on programming and data science to more advanced topics such as machine learning and blockchain, there is something for everyone. So, if you are looking to learn something new, Udacity’s free courses are a great place to start.
Also Read Top 15 Python Coursera course
Frequently Asked Question
Udacity is an online learning platform that offers both free and paid courses. Udacity students build their knowledge and skills in subjects like programming, product design, data science, product management, and software development.
Udacity is a for-profit institution that promotes online teaching of various courses. It is an online education provider that offers online courses, known as Massive Open Online Courses.
Udacity is better for those focused on a career in digi-tech, whereas Coursera is best for those looking for a wider range of course categories. Which is cheaper, Coursera or Udacity? Coursera is easily the cheaper platform of the two.
“Udacity helped me achieve my dreams. The resume, LinkedIn, and GitHub reviews helped me polish my profile, I successfully made a career change, and I'm now a Data Scientist at Ford because of the skills that I acquired through my Nanodegree program.”
Generally speaking, my Udacity Nanodegree was well worth the cost. The mentorship, graded projects, expert interviews, and free access to paid tools alone would justify the cost. And, the career services and well-built curricula give it even more value. But, without discounts, the prices of Nanodegrees are still high.
Show your Udacity experience: Add the online courses (Udacity and others) you've completed in a “Relevant Coursework” section. This provides concrete examples of your skills and shows you are driven, all while taking up minimal space on your resume.
Article Updates:
09/05/23 – Udacity Free courses FAQs
26/04/23 –Why Decide on Udacity Paid courses.
20/04/23 – General Update
11/04/23 -How to register with udacity?
