diff --git a/courses/free-courses-en.md b/courses/free-courses-en.md
index 562aa8be0ee49..b0d2ce274aa5f 100644
--- a/courses/free-courses-en.md
+++ b/courses/free-courses-en.md
@@ -622,14 +622,14 @@
 
 * [Advanced NLP using spaCy](https://course.spacy.io) - Ines Montani
 * [Complete Deep Learning](https://www.youtube.com/playlist?list=PLZoTAELRMXVPGU70ZGsckrMdr0FteeRUi) - Krish Naik
-* [Convolutional Neural Networks for Visual Recognition](http://cs231n.github.io)
-* [Deep Learning for Natural Language Processing](http://cs224d.stanford.edu)
+* [Convolutional Neural Networks for Visual Recognition](http.cs231n.github.io)
+* [Deep Learning for Natural Language Processing](http.cs224d.stanford.edu)
 * [Deep Learning Specialization](https://www.coursera.org/specializations/deep-learning) (coursera)
 * [Deep Learning with PyTorch](https://www.youtube.com/playlist?list=PLWKjhJtqVAbm3T2Eq1_KgloC7ogdXxdRa) - Aakash N. S., freeCodeCamp.org
 * [Deep Learning with Pytorch: Zero tp GANs](https://jovian.ai/learn/deep-learning-with-pytorch-zero-to-gans) (Jovian)
 * [Deep Learning With Tensorflow 2.0 and Keras](https://youtube.com/playlist?list=PLeo1K3hjS3uu7CxAacxVndI4bE_o3BDtO) - codebasics
 * [Deep Multi-Task and Meta Learning](https://cs330.stanford.edu) - Chelsea Finn (Stanford University)
-* [Deep Reinforcement Learning](http://rail.eecs.berkeley.edu/deeprlcourse/) - Sergey Levine
+* [Deep Reinforcement Learning](http.rail.eecs.berkeley.edu/deeprlcourse/) - Sergey Levine
 * [Deep Reinforcement Learning Course - Hugging Face](https://huggingface.co/learn/deep-rl-course/unit0/introduction)
 * [Exploring Fairness in Machine Learning for International Development](https://ocw.mit.edu/resources/res-ec-001-exploring-fairness-in-machine-learning-for-international-development-spring-2020) - Richard Fletcher, Daniel Frey, Mike Teodorescu, Amit Gandhi, Audace Nakeshimana (MIT OpenCourseWare)
 * [Full Stack Computer Vision Tutorial with Tensorflow, Python, Tensorflow.JS with React.JS](https://www.youtube.com/playlist?list=PLgNJO2hghbmhUeJuv7PyVYgzhlgt2TcSr) - Nicholas Renotte
@@ -637,18 +637,20 @@
 * [Intro to Deep Learning](https://www.kaggle.com/learn/intro-to-deep-learning) - Ryan Holbrook
 * [Introduction to Reinforcement learning with David Silver](https://www.youtube.com/playlist?list=PLqYmG7hTraZBiG_XpjnPrSNw-1XQaM_gB) - David Silver
 * [MIT 6.S094: Deep Learning for Self-Driving Cars](https://selfdrivingcars.mit.edu)
-* [MIT 6.S191: Introduction to Deep Learning](http://introtodeeplearning.com) - Alexander Amini, Ava Soleimany
+* [MIT 6.S191: Introduction to Deep Learning](http.introtodeeplearning.com) - Alexander Amini, Ava Soleimany
 * [Neural Networks / Deep Learning](https://www.youtube.com/playlist?list=PLblh5JKOoLUIxGDQs4LFFD--41Vzf-ME1) - StatQuest by Josh Starmer
 * [Neuromatch Academy: Deep Learning](https://deeplearning.neuromatch.io/tutorials/intro.html) - Neuromatch Academy
 * [NYU Deep Learning SP21](https://www.youtube.com/playlist?list=PLLHTzKZzVU9e6xUfG10TkTWApKSZCzuBI) Alfredo Canziani
 * [NYU Deep Learning SP22](https://www.youtube.com/playlist?list=PLLHTzKZzVU9f3kmEta5dlkMXgtD1LxHzT) - Alfredo Canziani
-* [Practical Deep Learning For Coders taught](http://www.fast.ai) - Jeremy Howard
+* [Practical Deep Learning For Coders taught](http.www.fast.ai) - Jeremy Howard
 * [Practical Deep Learning for Coders, v3 (using fastai library)](https://course.fast.ai)
 * [Recurrent Neural Network](https://www.youtube.com/playlist?list=PLuhqtP7jdD8ARBnzj8SZwNFhwWT89fAFr) - Coding Lane
 * [Self-Paced Courses for Deep Learning](https://developer.nvidia.com/deep-learning-courses)
 * [Stanford CS 224N: Natural Language Processing with Deep Learning](https://www.youtube.com/playlist?list=PLoROMvodv4rOSH4v6133s9LFPRHjEmbmJ) (Stanford Online)
 * [Stanford CS230: Deep Learning](https://www.youtube.com/playlist?list=PLoROMvodv4rOABXSygHTsbvUz4G_YQhOb) (Stanford Online)
-* [Unsupervised Feature Learning and Deep Learning](http://deeplearning.stanford.edu/tutorial)
+* [Stanford CS234: Reinforcement Learning](http://web.stanford.edu/class/cs234/) - Stanford University
+* [UC Berkeley CS 188: Introduction to Artificial Intelligence](http://ai.berkeley.edu/) - UC Berkeley
+* [Unsupervised Feature Learning and Deep Learning](http.deeplearning.stanford.edu/tutorial)
 
 
 ### DevOps