Harvard Free Online Courses On Computer Science

Harvard Free Online Courses On Computer Science

July 24, 2021 0 By Nishat Firdaush

Being in a prestigious University like Harvard is every student’s dream. But not all can make it happen. Few conditions like educational background, financial problems, etc can be the crisis. But the good news is now an individual can get a free course from this institution. It is time to know details on Harvard free online courses on computer science

Consequently, individuals can access the course depending on their specialization and interest.

Here, we have listed 5 free online courses related to the field of computer science. Therefore, those who are interested can get enrolled for free. And if you wish to get a certification you will have to pay for it.

Sometimes we think to do many online courses in different fields. For example, we may wish to do a free online course in English a free online course on computer science. The internet is full of opportunity just need to grab it.

Let’s see the list of Harvard Free Online courses on computer science.

1.CS50: Introduction to Computer Science

The total length of this course is 12 Weeks. Meanwhile, an individual has to give 6 to 18 hours per week. With introductory level ultimately a good option for beginners. The language and video transcript used in this is English.

Moreover, it is free you can get enroll in it to enhancing your knowledge. But if you are willing to have a verified certificate that will cost you some money. Consequently, the course is self-paced according to the individual.

A considerably vital interpretation of programming and computer science. Therefore, how to think algorithmically. Solving programming problems efficiently.

Likewise, theories like abstraction, resource management, algorithms, data structures, security, software engineering, and web development

Understanding languages, such as C, Python, SQL, JavaScript, CSS, and HTML, etc. Moreover, problem sets are solved by the example of real-world domains. For instance, finance cryptography, forensics, and gaming.

Students who achieve a decent score on problem sets programming assignments. Subsequently, for the final program is qualified for a certificate.

The instructor for the course will be David J. Malan Gordon McKay, a professor of the Practice of Computer Science at Harvard University.

Cost: Free to enroll

Certificate: Available, But, with a fee

Time is taken for completion: 11 weeks

Course Language: English

Platform: edX

Level: Introductory

Way of teaching: Excellent

Users experience: Excellent

GO FOR A FREE COURSE_

2. Fundamentals of Tiny Machine Learning

The length of this course is 5 Weeks. An individual has to give 2 to 5 hours per week. Its introductory level great option for beginners. The language and video transcript used in this is English.

It is free you can get to enroll in it to broaden your knowledge. But if you are willing to have a verified certificate. That will cost you some money. The course is self-paced according to individual convenience.

Therefore, tiny Machine Learning is abbreviated to (TinyML). It is the fastest-growing field of Deep Learning. This course gives a foundation for understanding this developing field.

TinyML is embedded in Machine Learning applications, hardware, software, and algorithms. It is different from mainstream machine learning. It requires software expertise and embedded hardware.

However, it covers the fundamentals of TinyML. Focusing on the basics of machine learning, deep learning. Moreover, embedded devices and systems. Particularly smartphones and other devices. Learning to gather data for ML.

Therefore, understanding data science techniques for collecting data. And develop an algorithm. To train and deploy basic machine learning models. At the end of this course, you will be able to acknowledge the language behind TinyML.

The instructor for this course will Vijay Janapa Reddi Associate Professor John A. Paulson from the School of Engineering and Applied Sciences (SEAS) at Harvard University. Also, Laurence Moroney Lead AI Advocate

Cost: Free to enroll

Certificate: Available, But, with a fee

Time is taken for completion: 5 weeks

Course Language: English

Platform: edX

Level: Introductory

Way of teaching: Excellent

Users experience: Excellent

GO FOR FREE COURSE_

3.CS50’s Introduction to Artificial Intelligence with Python

The total length of this course is 7 Weeks. An individual has to give 10 to 30 hours per week. It’s an introductory level for beginners.

The language and video transcript used in this is English. The course is self-paced can choose to attend as per the schedule.

The demand for expertise in Artificial Intelligence and machine learning is increasing rapidly. This course will help you to take the first step toward figuring out important real-world issues and shaping your career.

Moreover, this course explores the concepts and algorithms. Which is at the foundation of current artificial intelligence.

Developing ideas that give advancement to technologies. Like game-playing engines, machine translation, and handwriting recognition.

Through hands-on experience with projects. Learners attain exposure to the theory behind graph search algorithms. Along with optimization classification, reinforcement learning.

And many other topics in this field. As they incorporate them into their programs. At the end of the course, students get experience in libraries for machine learning.

Moreover, knowledge of artificial intelligence principles encourages individuals. To design competent systems acquired through this course.

The instructor of this course is Brian YuSenior Preceptor in Computer Science at Harvard University.

Cost: Free to enroll

Certificate: Available, But, with a fee

Time is taken for completion: 7 weeks

Course Language: English

Platform: edX

Level: Introductory

Way of teaching: Excellent

Users experience: Excellent

GO FOR A FREE COURSE

4.The Future of ML is Tiny and Bright

TinyML is an advanced field that attracts the transformative capability of machine learning. Moreover, in the domain of embedded systems.

Profitable deployment in this field imposes in-depth knowledge. Regarding applications, algorithms, hardware, and software.

This program incorporates computer science with engineering. Understanding real-world applications. Furthermore, case studies evaluate the challenges facing TinyML deployments.

Similarly, It unlocks your imagination and builds applications. Such as image recognition, audio processing, and gesture detection, etc.

The total length of this course is 16 weeks long. An individual has to give 2 to 4 hours per week. It’s an introductory level for beginners. Moreover, the language and video transcript used in this is English.

The topic covers the fundamentals of machine learning and embedded devices. Subsequently, to gather data effectively for machine learning.

Moreover, to train and deploy tiny machine learning models. Optimizing machine learning models for resource-constrained devices.

Therefore, learning to create and design own tiny machine learning application. Most importantly, to program in Tensor Flow Lite for Microcontrollers, using an ARM Cortex-M4.

The instructor for this course will be Vijay Janapa Reddi. He is an Associate Professor. At John A. Paulson School of Engineering and Applied Sciences (SEAS) at Harvard University.

Along with Pete Warden Technical Lead of Tensor Flow Mobile and Embedded at Google. Lastly, Laurence Moroney is the lead AI Advocate at Google.

Cost: Free to enroll

Certificate: Available, But, with a fee

Time is taken for completion: 5 weeks

Course Language: English

Platform: edX

Level: Intermediate

Way of teaching: Excellent

Users experience: Excellent

GO FOR A FREE COURSE

5. Data Science: Machine Learning

The total length of this course is 8 Weeks. An individual has to give 2 to 4 hours per week. Its introductory level for beginners.

The language and video transcript used is English.The basics of machine learning

This course gives exposure to performing cross-validation to avoid overtraining. However, along with many popular machine learning algorithms.

Moreover, to build a recommendation system. Like YouTube recommendations etc. Regularisation on and its uses.

The most prominent data science methods come from machine learning. This course gives an understanding. To distinguishes machine learning from other computer-guided decision processes. Building prediction algorithms using data.

Most famous products utilize machine learning. For example, handwriting reading, speech recognition, movie recommendation systems, and spam detectors.

An individual will learn about training data. Moreover, using a set of data to apply it potentially. Consequently, As you build the movie recommendation system.

In addition, individuals will also learn about overtraining and techniques. To prevent it such as cross-validation.

The instructor for this course is Rafael Irizarry. Professor of Biostatistics at Harvard University.

Cost: Free to enroll

Certificate: Available, But, with a fee

Time is taken for completion: 8 weeks

Course Language: English

Platform: edX

Level: Introductory

Way of teaching: Excellent

Users experience: Excellent

Go FOR A FREE Course

Conclusion on Harvard free online courses on computer science

The above courses are beneficial. Most importantly it is free of cost. Moreover, it’s a reputed university over all the country.

The individual who is interested in the field of computer science. Subsequently, should grab this opportunity.

However, there is no doubt that the quality of this course is awesome. Also, the assigned instructors are best in their field. Having practical experience over the years.

We hope that this article helps to get an all-round idea of the courses available. And you get good knowledge in the field of your interest. Along with computer science, students are shifting their interest to learn digital marketing also. Today it has become a job-oriented career option. There are many benefits to enroll in a free WordPress course.