Top 30 Artificial Intelligence Free Courses With Certificate

The best Artificial Intelligence Free Courses With Certificate list consists of several AI’s AI-related courses having crucial applications and even though they are free, they are as valuable in terms of content as most of the paid AI courses.

There are several artificial intelligence free courses with certificates in various institutions of learning but due to lack of publicity, getting to know them sometimes proves difficult. The role of artificial intelligence cannot be overemphasized in contemporary society.

When we measure the impact of artificial intelligence in the face of modernity one can conclude that artificial intelligence is tech’s biggest achievement and with it, the era of tech is set out to revolutionize our world.

The swift growth of artificial intelligence in our world today has made it a very attractive option for people aiming to venture into tech or seeking to find more useful applications for it, like making things work more easily.

For that reason more and more people are seeking to gain the skills and knowledge they need, to keep pace with the dynamic nature of artificial intelligence, and even get employed in high-ranking AI companies. The best way to do that is using being a certified artificial intelligence student or graduate. Hence, the need to find a free artificial intelligence course that offers a certificate arises.

This article is aimed at pointing the reader in the right direction we dive to look out for free artificial intelligence courses that offer a certificate.

Table of Contents

Criteria For Selection of Top 30 Artificial Intelligence Free Courses With Certificate

The following includes the basic yardstick on which our selection is based:

The scheme of work and the artificial intelligence course content
Eminence and caliber of instruction
Student satisfaction

Why Study Artificial Intelligence?

There are several reasons One should consider taking a course in artificial intelligence, AI in the world of tech today has established itself as the leading world vast career potential, with the demand for professionals with AI skills rapidly increasing, with jobs requiring AI expertise is estimated and projected to grow by 71% over the next decade.

This high demand is a result of the increased importance of AI and is virtually impacted by the adoption of AI across all sectors, leading to a plethora of exciting career opportunities in research, development, implementation, and management of AI systems.

Nevertheless, beyond the career prospects, studying AI equips individuals with valuable problem-solving skills and it is important to be certificated therefore, here we dive into the top 30 artificial intelligence free courses with certificates.

List Of The Best 30 Free Artificial Intelligence Courses With Certificate

Below is a list of the best free artificial intelligence courses with certificates:

Introduction to Machine Learning from Stanford University.
Introduction to Deep Learning from deeplearning.ai.
Machine Learning (Regression) from the University of Washington.
TensorFlow for Deep Learning from deeplearning.ai.
Natural Language Processing from deeplearning.ai.
Deep Learning Specialization from deeplearning.ai.
Practical Deep Learning for Coders from the University of Michigan.
Neural Networks and Deep Learning from deeplearning.ai.
Fundamentals of Machine Learning from Imperial College London.
Deep Learning for Computer Vision from deeplearning.ai.
Deep Learning with TensorFlow 2 and Keras from deeplearning.ai.
Advanced Machine Learning from the University of Washington.
Natural Language Processing with Sequence Models from deeplearning.ai.
Practical Deep Learning for Coders (Sequence Models) from the University of Michigan.
Artificial Intelligence from Columbia University.
Machine Learning (Clustering and Retrieval) from the University of Washington.
Fundamentals of Reinforcement Learning from the University of Alberta.
Computer Vision from Stanford University.
Machine Learning for Trading from New York University.
Design of Computer Programs from the University of Pennsylvania.
Machine Learning (K-Means clustering) from the University of Washington.
Deep Learning for Computer Vision from deeplearning.ai.
Object Detection and Segmentation from deeplearning.ai.
Introduction to AI for Robotics from Columbia University.
Image Generation with Neural Networks from deeplearning.ai.
Neural Networks and Deep Learning from deeplearning.ai.
Sequence Models from deeplearning.ai.
TensorFlow 2 for Deep Learning from deeplearning.ai.
Practical Deep Learning for Coders from the University of Michigan.
Reinforcement Learning from the University of Alberta.

Artificial Intelligence Courses With Certificate

1. Introduction to Machine Learning from Stanford University.Introduction to Machine Learning from Stanford University.

Prerequisite: Basic programming skills (Python)
Class Of Certificate: Professional Certificate
Program Duration: 2 months and 2 weeks

In Machine learning, there are always supervised and unsupervised learnings, the understanding of both kinds of learning is a very important aspect of AI.

This course from Stanford University provides an introduction to machine learning, including both supervised and unsupervised learning.

It course covers topics such as classification, regression, clustering, and dimensionality reduction.

2. Introduction to Deep Learning from deeplearning.ai.

Prerequisite: Introduction to Machine Learning or Equivalent
Class Of Certificate: Professional Certificate
Program Duration: 3 months and 2 weeks

This course is an introduction to deep learning, it often involves concepts like the mathematics behind neural networks and their implementation in TensorFlow.

The course contents include backpropagation, activation functions, and convolutional neural networks.

3. Machine Learning (Regression) from the University of Washington.

Prerequisite: Basic knowledge of linear algebra and calculus
Class Of Certificate: Verified Certificate
Program Duration: 1 month

This course offered at the University of Washington and some other notable universities, covers regression methods, which include linear and logistic regression, the course contents also support vector machines, covering topics such as regularization and validation.

4. TensorFlow for Deep Learning from deeplearning.ai.

Prerequisite: Introduction To Deep Learning Or Equivalent
Class Of Certificate: Professional Certificate
Program Duration: 2 months and 3 weeks

This course from deeplearning.ai is one of the foremost courses that provides a practical introduction and insights into the effectiveness of using TensorFlow for deep learning.

The course usually covers several important topics such as neural network architecture, data preparation, and model training.

5. Natural Language Processing from deeplearning.ai.

Prerequisite: Introduction To Deep Learning Or Equivalent
Class Of Certificate: Professional Certificate
Program Duration: 3 months

This course is also from deeplearning.ai and it provides an introduction to natural language processing (NLP), including topics such as computer vision, natural language processing, and sequence models.

One can through the course understand how to apply deep learning in the real world operates.

6. Deep Learning Specialization from deeplearning.ai.

Prerequisite: Introduction To Deep Learning
Class Of Certificate: Professional Certificate
Program Duration: 6 months

This course specialization is specifically from deeplearning.ai it includes a series of courses that expose the students to a more in-depth look at deep learning, other topics are included in the content, these topics include computer vision, natural language processing, and sequence models.

This specialization course touches also the area that involves how to apply deep learning in the real world.

7. Practical Deep Learning for Coders from the University of Michigan.

Prerequisite: Programming Experience In Python
Class Of Certificate: Verified Certificate
Program Duration: 1 month

This course is offered in several other AI institutions but the highly rated recommendation for the course is that from the University of Michigan because it provides a hands-on introduction to deep learning.

Several topics are covered under the course, these topics include building neural networks, fine-tuning models, and hyperparameter tuning, the course most often covers TensorFlow and Keras, which are the two most popular deep learning frameworks.

8. Neural Networks and Deep Learning from deeplearning.ai.

Prerequisite: Introduction To Machine Learning Or Equivalent
Class Of Certificate: Professional Certificate
Program Duration: 3 months

This course is recommended by deeplearning.ai because it provides a more mathematical approach to understanding neural networks.

Other institutions might not provide a good base and standard mathematical approach to understanding neural networks. The course also covers topics such as gradient descent, optimization algorithms, and Bayesian neural networks.

9. Introduction to Machine Learning from Imperial College London Fundamentals of Machine Learning from Imperial College London.

Prerequisite: Basic Programming Skills (Python)
Class Of Certificate: Professional Certificate
Program Duration: 2 months and 2 weeks

Imperial College London is recommended for anyone interested in obtaining the course.

The course provides an introduction to machine learning it also covers topics such as supervised and unsupervised learning, feature engineering, and clustering.

10. Deep Learning for Computer Vision from deeplearning.ai.

Prerequisite: Introduction To Deep Learning Or Equivalent
Class Of Certificate: Professional Certificate
Program Duration: 3 months

Deeplearning.ai is recommended for this course because it covers the most intricate parts of deep learning methods for computer vision, including object detection, image segmentation, and style transfer.

11. Deep Learning with TensorFlow 2 and Keras from deeplearning.ai.

Prerequisite: Introduction To Deep Learning Or Equivalent
Class Of Certificate: Professional Certificate
Program Duration: 3 months

Deeplearning.ai is recommended for this course and it covers the latest version of the TensorFlow framework.

12. Advanced Machine Learning from the University of Washington.

Prerequisite: Machine Learning Fundamentals
Class Of Certificate: Verified Certificate
Program Duration: 1 month

The University of Washington is recommended for this course despite having other high institutions offering the same course, the course usually deals with advanced concepts and covers advanced topics in machine learning, including reinforcement learning, generative models, and probabilistic graphical models.

13. Natural Language Processing with Sequence Models from deeplearning.ai.

Prerequisite: Introduction To Deep Learning Or Equivalent
Class Of Certificate: Professional Certificate
Program Duration: 2 months and 3 weeks

Deeplearning.ai is recommended for this course as it covers natural language processing with recurrent neural networks and other sequence models. topics such as language modeling, translation, and parsing are also included and covered in the course.

14. Practical Deep Learning for Coders (Sequence Models) from the University of Michigan.

Prerequisite: Programming Experience In Python
Class Of Certificate: Verified Certificate
Program Duration: 1 month

The University of Michigan is recommended for this course and it covers sequence models, which include LSTMs and GRUs, for natural language processing, time series analysis, and music generation.

15. Artificial Intelligence from Columbia University.

Prerequisite: Basic Knowledge Of Computer Science And Mathematics
Class Of Certificate: Professional Certificate
Program Duration: 3 months

Columbia University is recommended for this course as it provides an introduction to the foundations of artificial intelligence, including topics such as search, logic, and probability.

16. Machine Learning (Clustering & Retrieval) from the University of Washington.

Prerequisite: Introduction To Machine Learning
Class Of Certificate: Verified Certificate
Program Duration: 1 month

The University of Washington covers clustering and retrieval methods for analyzing data. And it comes from a state of high recommendation when it comes to machine learning.

17. Fundamentals of Reinforcement Learning from the University of Alberta.

Prerequisite: Introduction To Machine Learning
Class Of Certificate: Diploma
Program Duration: 3 months

University of Alberta is recommended for this course and it covers the fundamentals of reinforcement learning, in a mode that is highly comprehensive to the learner, the course includes topics such as Markov decision processes, dynamic programming, and Monte Carlo methods.

In learning this course the student will also cover the applications of reinforcement learning in robotics, finance, and video games.

18. Computer Vision from Stanford University.

Prerequisite: Basic Programming Skills (Python)
Class Of Certificate: Professional Certificate
Program Duration: 2 months and 3 weeks

Stanford University is recommended for this course, the course covers computer vision, which includes topics such as image classification, object detection, and feature extraction.

The course covers state-of-the-art computer vision algorithms and the TensorFlow framework.

19. Machine Learning for Trading from New York University.

Prerequisite: Basic Knowledge Of Finance And Economics
Class Of Certificate: Professional Certificate
Program Duration: 3 months

New York University is highly recommended for this course and the course covers machine learning techniques for analyzing financial markets, especially when it is digital based like crcryptocurrencyForex, and other digital economy financial marketing.

The course covers topics such as regression, support vector machines, and Gaussian processes. The financial concepts covered include intricate topics such as volatility, momentum, and correlation.

20. Design of Computer Programs from the University of Pennsylvania.

Prerequisite: Basic Programming Skills (Python)
Class Of Certificate: Professional Certificate
Program Duration: 3 months

The University of Pennsylvania is recommended for the course, even though other higher institutions of learning offer the same course or related concepts.

The course covers the fundamentals of computer program design. Students offering this course are taught about algorithm analysis and design, data structures, and object-oriented programming.

Moreover, students of the course are also taught software engineering principles such as abstraction, encapsulation, and testing, using the Java programming language to develop programs that solve real-world problems.

21. Machine Learning (K-Means clustering) from the University of Washington.

Prerequisite: Introduction To Machine Learning
Class Of Certificate: Verified Certificate
Program Duration: 1 month

In this course from the University of Washington, students are taught K-means clustering and another popular unsupervised machine learning algorithm.

There are several things to learn about the course such as the concepts of the mathematics behind the algorithm, and its implementation in Python.

Moreover, other popular clustering algorithms such as hierarchical clustering and expectation-maximization clustering are contained in the course.

22. Deep Learning for Computer Vision from deeplearning.ai.

Prerequisite: Introduction To Deep Learning Or Equivalent
Class Of Certificate: Professional Certificate
Program Duration: 3 months

Deeplearning.ai provides the best avenue to learn this course, in this course computer vision and deep learning are taught; students also learn about convolutional neural networks, which are a type of deep neural network used for image classification and other computer vision tasks.

Moreover, other concepts are built into the course and are taught with the course, these concepts include the theory behind computer vision and some popular deep learning frameworks like TensorFlow and PyTorch.

23. Object Detection and Segmentation from deeplearning.ai.

Prerequisite: Introduction To Deep Learning Or Equivalent
Class Of Certificate: Professional Certificate
Program Duration: 3 months

In this course from deeplearning.ai computer vision tasks such as object detection and segmentation are taught. Students have the chance to learn popular models such as YOLO and Mask R-CNN, and how to train and fine-tune these models.

However, some of the challenges of computer vision, such as object occlusion and class imbalance are given an indebt touch.

24. Introduction to AI for Robotics from Columbia University.

Prerequisite: Basic knowledge of robotics and programming
Class Of Certificate: Professional Certificate
Program Duration: Not Verified

Columbia University makes the list in the top 30 artificial intelligence free courses with a certificate because it comes highly recommended for this course and students are taught the fundamentals of AI algorithms used in robotics and other popular algorithms such as reinforcement learning, Markov decision processes, and path planning.

The course also seeks to digest some concepts which include topics like robot kinematics and motion planning and practical orientated topics like experiences with popular robotics software frameworks like ROS and Gazebo.

25. Image Generation with Neural Networks from deeplearning.ai.

Prerequisite: Introduction To Deep Learning Or Equivalent
Class Of Certificate: Professional Certificate
Program Duration: 3 months

In this course from deeplearning.ai, generative neural networks are focused on as they are used to create new images that are similar to images in a training dataset.

Students are also taught about popular algorithms like generative adversarial networks (GANs) and variational autoencoders (VAEs).

The expected knowledge after the course includes understanding how to generate images with different styles, and how to evaluate the quality of generated images.

26. Neural Networks and Deep Learning from deeplearning.ai.

Prerequisite: Introduction To Machine Learning Or Equivalent
Class Of Certificate: Professional Certificate
Program Duration: 3 months

deeplearning.ai, is highly recommended for this course as the students are taught about neural networks, which are a type of machine learning algorithm inspired by the structure of the brain.

The concept also touches on how to design, train, and evaluate neural networks, enabling students to explore applications of neural networks in different domains.

Deep learning, which is regarded as a technique that uses multiple layers of neural networks is taught and used to learn complex patterns from data.

27. Sequence Models from deeplearning.ai.

Prerequisite: Introduction To Deep Learning Or Equivalent
Class Of Certificate: Professional Certificate
Program Duration: 3 months

Sequence models as the name implies by definition refer to a type of machine learning algorithm that is designed to work with data that are arranged in a sequence.

Deeplearning.ai is recommended for this particular course and the students stand to learn about sequence models and how they can be used to solve problems like machine translation and speech recognition. Popular Transformer architecture is also introduced in the course and the method by which they are used in many state-of-the-art sequence models.

28. TensorFlow 2 for Deep Learning from deeplearning.ai.

Prerequisite: Introduction To Deep Learning Or Equivalent
Class Of Certificate: Professional Certificate
Program Duration: 3 months

TensorFlow is usually referred to as an open-source framework for deep learning, TensorFlow 2 is the latest version of the framework, with modifications and improvements from the previous version.

In this course from deeplearning.ai, students are taught how to use TensorFlow 2 to build and train deep learning models. They also learn about TensorFlow’s high-level APIs, which make it easy to build and deploy deep learning models.

29. Practical Deep Learning for Coders from the University of Michigan.

Prerequisite: Programming Experience In Python
Class Of Certificate: Verified Certificate
Program Duration: 1 month

Practical Deep Learning for Coders provides easier comprehension patterns on how to build and deploy deep learning models using the Python programming language.

After attending the course, students learn how to build models for image classification, natural language processing, and time series forecasting.

Other concepts that are learned from the course include model evaluation and how to improve the performance of models.

30. Reinforcement Learning from the University of Alberta.

Prerequisite: Introduction To Machine Learning
Class Of Certificate: Diploma
Program Duration: 3 months

By definition, reinforcement learning is a type of machine learning that enables an agent to learn by trial and error. This course makes the list of the top 30 artificial intelligence-free courses With a Certificate

However, the University of Alberta, is highly recommended and students are taught the basics of reinforcement learning and how to use it to solve complex problems popular reinforcement learning algorithms, such as Q-learning and policy gradient methods are taught in the course.

It is a big addition to the top 30 artificial intelligence-free courses with certificates like others on the list.

FAQs On The Top Artificial Intelligence Free Courses With Certificate

What Are The Prerequisites For These Courses?

The following contains a list of general prerequisites for the top artificial intelligence courses, given that the prerequisites vary exponentially depending on several factors like difficulty level and subject matter, one can lay hands on a few general prerequisites they include, basic computer literacy, Familiarity with mathematics (e.g., linear algebra, calculus), Programming experience (e.g., Python), etc.

Which Are The Top Free Ai Courses With Certificates?

Every AI course has its peculiarities and strengths, but some of these AI courses are ranked and rated above others and the following contains a more general list of the top AI courses with certificates. Introduction to Artificial Intelligence (Stanford University): This course provides a broad overview of AI concepts and applications, and it's a great starting point for anyone new to the field. AI for Everyone (deeplearning.ai). Machine Learning (Regression) (University of Washington). TensorFlow for Deep Learning (deeplearning.ai). Practical Deep Learning for Coders (University of Michigan).

Can I learn AI without any prior knowledge?

The simple answer is yes. Because there are several free AI courses designed for beginners. These courses typically start with the basics and gradually build upon your knowledge. It only depends on the student's power and assimilation pace.

Conclusion

The field of Artificial Intelligence (AI) is rapidly expanding, and it is paramount one understands the trajectory especially as the world of AI is taking over technology, its innovations and applications can be seen in the transformation of industries, automating tasks, and creating new opportunities across various sectors.

Top 30 artificial intelligence free courses with certificate nudges understanding its immense potential, and acquiring skills in AI which is becoming increasingly valuable if not necessary for career growth and personal development.

Fortunately, we have used this article as a medium to explore the numerous free AI courses with certificates, most of them are even available online, making this exciting field accessible to everyone.

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