Best Free Udacity Courses

Top‌ ‌10‌ ‌Udacity‌ ‌Free‌ ‌Online‌ ‌Courses‌ ‌

Online learning has never been more significant. But since this Pandemic where Offline things are not working out positively. Luckily, with simply a PC and web access, one can learn anything from anywhere.

Udacity is a revenue-driven Institution that advances online teaching of different courses. It is an online training platform that offers online courses. The courses offered by Udacity are profoundly intuitive, as tests and activities. At Udacity, the fundamental objective is to assist individuals with acquiring the most recent tech abilities so they can propel their vocations. While Nanodegree programs are extremely mainstream, with a wide scope of free courses. The following guide will give you a peek into our top 10 free online courses.

List of Free Udacity Courses Online

1. Full Stack Web Developer 

The Full Stack Web Developer Nanodegree program is intended to provide students with the skills they will need to build database-backed APIs and web applications. A graduate of this module will be able to design and build databases for software applications, create and deploy database-backed web APIs, and secure and manage user authentication and access control for an application backend.

What you will learn – 

  • Master relational databases with the power of SQL, and leverage Python to incorporate database logic into your programs.
  • Learn how to use APIs to control and manage web applications, including best practices for API testing and documentation.
  • Implement authentication and authorization in Flask and understand how to design against key security principles.
  • Gain experience with role-based control design patterns, securing a REST API and applying software system risk and compliance principles.
  • Develop an understanding of containerized environments, use Docker to share and store containers, and deploy a Docker container to a Kubernetes cluster using AWS

Skills – 

  • Web 
  • Mobile App 
  • Javascript 
  • Mobile Application Development
  • Web Development 
  • Android Software Development
  • CSS
  • Programming Language 
Pre-requirements – Prior experience with Python, CSS/HTML, and Git

Who can take this course – 

  • If you want to learn database-backed APIs and web applications.
  • This course is great for Experts who want to upgrade their skills.

Duration – 4 Months

Rating – 4.5 out of 5

2. Become a Data Analyst  

This is the most popular course of Udacity. Improve your programming skills and your ability to work with large, complex datasets. You will learn how to manipulate and prepare data for analysis, as well as how to construct data visualization. Lastly, you will learn to use your data skills to tell a story with data.

What you will learn – 

  • Learn the data analysis process of wrangling, exploring, analyzing, and communicating data. Work with data in Python, using libraries like NumPy and Pandas.
  • Learn how to apply inferential statistics and probability to real-world scenarios, such as analyzing A/B tests and building supervised learning models.
  • Learn the data wrangling process of gathering, assessing, and cleaning data. Learn to use Python to wrangle data programmatically and prepare it for analysis.
  • Learn to apply visualization principles to the data analysis process. Explore data visually at multiple levels to find insights and create a compelling story.

Skills – 

  • Python Programming
  • Data Analysis
  • Data Visualization (DataViz)
  • SQL
  • Ipython
  • Cloud Databases
  • Relational Database Management System (RDBMS)
  • Data Virtualization
Pre-requirements – Python & SQL

Who can take this course – 

  • If you want to improve your programming skills, then you have to take this course. 
  • This course is great for IT beginners because it starts with the basics and steadily builds up the skills.

Duration – 4 Months

Rating – 4.2 out of 5

3. Become a C++ Developer 

C++ Developer is a hands-on course. It helps you to apply the skills you learn in the video lessons. By coding five real-world projects, you will gain practical experience. Learn how to create a route planner using OpenStreetMap data, create a machine process monitor, and create your smart pointers. Finally, demonstrate all your newfound skills by designing a multithreaded traffic simulator and coding your C++ application.

What you will learn – 

  • Learn how to develop, compile, and execute C++ programs as well as syntax, functions, containers, and how to link together multiple files.
  • Learn to build classes, interfaces, and generic templates to create an object-oriented C++ program. Learn how modern C++ includes many tools for writing clean, reusable code.
  • Learn to control static and dynamic memory in C++ using the Resource Acquisition Is Initialization pattern, pointers, references, and move semantics. 
  • How to launch processes and threads to execute logic in parallel. Then advance to thread synchronization and communication, to experience the full power of concurrent programming.

Skills – 

  • Python
  • Java
  • C++
  • Javascript
  • Machine learning algorithms

Pre-requirements – To optimize your chances of success in the C++ Nanodegree program, we recommend intermediate knowledge of any programming language.

Who can take this course – 

  • If you want to be a C++ Developer, you should take this course.
  • This course is great for intermediate IT people because it starts with building up the existing skills.

Duration – 4 Months

Rating – 4.0 out of 5

4. Become a Product Manager

Through this free online course, develop and lead the product plan for industry-defining products, as well as learn how to bring them to market successfully. As a Product Manager, one of the most sought-after positions in technology, you’ll have a say in how product creation is carried out. In this course, you will learn how to construct a detailed go-to-market strategy focused on product KPIs, communicate a product roadmap, and communicate a product roadmap that creates trust among internal stakeholders.

What you will learn – 

  • Design-thinking methodologies to explore various ideas, and then converge on a single idea. 
  • Map out the full concept through the creation of a prototype that can be used to validate that you’re solving a problem for real users.
  • Learn the critical soft skills needed to manage the development and execution phase of the product.
  • Manage stakeholder expectations and handle risks that arise, reprioritizing feature and sprint priorities to tackle competing requests.
  • Create a plan, identify the launch risks, and figure out how to minimize their impact on your launch 
  •  Execute the launch and use feedback from your customers to determine the next steps for your product.

Skills – 

  • Product Management 
  • Management of Operations
  • Building a Team
  • Product Lifecycle Management 
  • Business Management 

Pre-requirements – No prerequisites are needed.

Who can take this course – 

  • If you want to become a Product Manager, you should take this course.
  • This course is great for beginners because it starts with the basics and steadily builds up the skills.

Duration – 4 Months

Rating – 4.7 out of 5

5. Become a UX Designer  

In today’s digital world, it is very important to deliver exceptional user experiences for products. This course will help you gain the required skills where you will learn to create a portfolio that demonstrates the ability to transform user research into high-fidelity interactive projects. You will also be able to learn how to design a digital user interface that is ready to be handed over for creation with this Nano degree. You will complete tasks along the way that can be used in a UX portfolio at the end of the program to demonstrate your skills to potential employers.

What you will learn – 

  • The core principles of human-centered design and how to appropriately scope a design problem. 
  • Understand how to empathize with users when performing user research, including how to conduct in-depth interviews and create quantitative surveys, and use research data to uncover opportunities.
  • Learn the process of a design sprint, and how to translate findings from research into a prototype that can be tested with users.
  • Understand how to foster team collaboration and use divergent and convergent thinking to rapidly create testable prototypes.
  • Learn advanced user interface principles to build interactive designs that are ready to be handed off to engineering for feedback. 
  • Understand how to solicit and integrate feedback from engineering to enhance the design before it is ready for development.
  • Learn how to improve design and user experiences based on engagement data to increase key performance indicators.
  • Understand what should and shouldn’t be included in a portfolio, as well as the key components that appeal to target audiences. 
  • Learn how to organize previous work and communicate it online, keeping the audience and your career objectives in mind.

Skills – 

  • User Experience (UX)
  • UX Research
  • Wireframe
  • Prototype
  • User Experience Design (UXD)
  • Usability Testing
  • Mockup
  • Figma
  • Adobe 

Pre-requirements – No prerequisites are needed.

Who can take this course-

  • If you want to be a UX Designer, you should take this course.
  • This course is great for beginners because it starts with the basics and steadily builds up the skills.

Duration – 3 Months

Rating – 4.8 out of 5

6. Business Analytics   

In this program, you can develop fundamental data skills that can be applied through roles and industries. You will learn to analyze data and construct models with Excel, query databases using SQL, and create detailed data visualizations with Tableau. Lastly, you will also gain fundamental data skills applicable to every industry. 

What you will learn – 

  • Learn how people use data to answer questions, and find your insights from a data dashboard.
  • Learn how to use statistics and visuals to find and communicate insights.
  • Develop Excel skills to manipulate, analyze, and visualize data in a spreadsheet. Build Excel models to analyze possible business outcomes.
  • Learn to use Structured Query Language (SQL) to extract and analyze data stored in databases.
  • Learn to apply design and visualization principles to create impactful data visualizations, build data dashboards, and tell stories with data.

Skills – 

  • Customer Analytics
  • Analytics
  • Analytics
  • Business Analytics
  • Decision Tree
  • Predictive Analytics
  • Regression Analysis
  • Solver
  • Talent Management
  • Performance Management

Pre-requirements – No prerequisites are needed.

Who can take this course – 

  • If you want to be Business Analyst, you should take this course.
  • This course is great for beginners because it starts with the basics and steadily builds up the skills.

Duration – 3 Months

Rating – 4.5 out of 5

7. Intro to TensorFlow for Deep Learning 

This course provides software developers with a realistic approach to deep learning. The TensorFlow team and Udacity collaborated to create this course as a practical approach to deep learning for software developers. You will learn how to build your state-of-the-art image classifiers and other deep learning models firsthand. By the end of this course, you’ll have acquired all of the necessary skills to begin developing your AI applications.

What you will learn – 

  • Get a high-level overview of artificial intelligence and machine learning
  • Learn how machine learning and deep learning have revolutionized software
  • How to build a neural network that can recognize images of articles of clothing
  • Expand your image classifiers into models that can predict from multiple classes
  • How to use a convolution network to build a classifier for more detailed color images
  • Learn from sequential data with recurrent neural networks
  • Learn how you can use TensorFlow lite to build machine learning apps on Android, IOS and IOT devices

Skills – 

  • Tensor Flow
  • Machine Learning
  • Computer vision

Pre-requirements – No prerequisites are needed.

Who can take this course – 

  • If you want to learn best practices for using TensorFlow, you should take this course.
  • This course is great for Intermediates because it starts with building and upgrading up the skills.

Duration – 2 Months

Rating – 4.7 out of 5

8. Deep Learning   

Deep learning is going to propel artificial intelligence advancements that are changing our world. Enroll now to learn how to create and apply deep neural networks to problems such as image classification and generation, time-series prediction, and model deployment.

Develop your knowledge of neural networks and how to use PyTorch, a deep learning system, to implement them. Build image recognition convolutional networks, sequence generation recurrent networks, and image generation generative adversarial networks, and learn how to deploy models accessible from a website.

What you will learn – 

  • Learn the basics of deep learning by applying style transfer to your images, and gain experience using development tools such as Anaconda and Jupyter notebooks.
  • Learn neural networks basics, and build your first network with Python and NumPy. Use the modern deep learning framework PyTorch to build multi-layer neural networks, and analyze real data.
  • Learn how to build convolutional networks and use them to classify images (faces, melanomas, etc.) based on patterns and objects that appear in them. Use these networks to learn data compression and image denoising.
  • Learn to understand and implement a Deep Convolutional GAN (generative adversarial network) to generate realistic images, with Ian Goodfellow, the inventor of GANs, and Jun-Yan Zhu, the creator of CycleGANs.
  • Build a model, deploy it, and create a gateway for accessing it from a website.

Skills – 

  • Python
  • Deep Learning
  • Artificial Intelligence
  • Operations Management 

Pre-requirements – Basic Python

Who can take this course – 

  • If you want to be an entrepreneur, you should take this course.
  • This course is great for people who want to be an expert in Python and Deep learning.

Duration – 15-20 hours

Rating – 4.5 out of 5

9. Become a Self-Driving Car Engineer 

Self-driving cars are a game-changing element of technology, machine learning, and engineering technology. Learn the skills and strategies used by self-driving vehicle teams at the world’s most cutting-edge technology firms.

You will learn how to use computer vision and deep learning to solve problems in the automotive industry, such as identifying lane lines and predicting steering angles. You will also have the chance to test your code on Udacity’s self-driving car in a simulation.

What you will learn – 

  • Learn about how self-driving cars work and about the services available to you as part of the Nanodegree program.
  • How to use a combination of cameras and software to find lane lines on difficult roads and to track vehicles.
  • How to build deep neural networks and data from the real world. 
  • Learn about convolutional neural networks to classify traffic signs, and then neural networks to drive a vehicle in the simulator.
  • Learn to use Sensor fusion with difficult-to-follow objects by using an extended Kalman filter, an advanced technique.
  • How to run your code on a virtual version of Carla, a real self-driving car.

Skills – 

  • Engineering
  • Software development
  • Carla
  • Calculus
  • Python 

Pre-requirements – Python, C++, Linear Algebra, and Calculus.

Who can take this course – 

  • If you want to learn the skills and strategies used by self-driving vehicle teams, you should take this course.
  • This course is great for Experts to upgrade their skills.

Duration – 6 Months

Rating – 4.5 out of 5

10. Programming for Data Science with Python 

This free online course helps you to learn all the important concepts and terminologies of data programming techniques, such as Python, SQL, command-line, and git, to prepare for a career in data science. You will be able to use Python, SQL, the Command Line, and Git by the end of the program. 

What you will learn – 

  • Learn SQL fundamentals such as Joins, Aggregations, and Subqueries. Learn how to use SQL to answer complex business problems.
  • Learn Python programming fundamentals such as data structures, variables, loops, and functions. Learn to work with data using libraries like NumPy and Pandas.
  • Learn how to use version control and share your work with other people in the data science industry.

Skills – 

  • Python
  • SQL
  • Data science
  • Programming

Pre-requirements – No prerequisites are needed.

Who can take this course – 

  • If you want to learn data programming techniques, you should take this course.
  • This course is great for beginners because it starts with the basics and steadily builds up the skills.

Duration – 3 Months

Rating – 4.7 out of 5

Leave a Comment

Your email address will not be published. Required fields are marked *