diff --git a/courses/free-courses-en.md b/courses/free-courses-en.md
index c1863944a..d123a5ce4 100644
--- a/courses/free-courses-en.md
+++ b/courses/free-courses-en.md
@@ -630,9 +630,9 @@
 * [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)
-* [Deep Learning Specialization](https://www.coursera.org/specializations/deep-learning) (coursera)
+* [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 PyTorch: Zero to 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
@@ -646,7 +646,7 @@
 * [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 SP21](https://www.youtube.com/playlist?list=PLLHTzKZzVU9e6xUfG10TkTWApKSZCzuBI) - Alfredo Canziani
 * [NYU Deep Learning SP22](https://www.youtube.com/playlist?list=PLLHTzKZzVU9f3kmEta5dlkMXgtD1LxHzT) - Alfredo Canziani
 * [OpenCV Bootcamp](https://opencv.org/university/free-opencv-course/) - OpenCV University
 * [Practical Deep Learning For Coders taught](http://www.fast.ai) - Jeremy Howard
@@ -656,7 +656,8 @@
 * [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)
-* [TensorFlow Bootcamp](https://opencv.org/university/free-tensorflow-keras-course/) - OpenCV University
+* [Stanford CS234: Reinforcement Learning](https://web.stanford.edu/class/cs234) - Emma Brunskill
+* [UC Berkeley CS 188: Introduction to Artificial Intelligence](http://ai.berkeley.edu) - Dan Klein
 * [Unsupervised Feature Learning and Deep Learning](http://deeplearning.stanford.edu/tutorial)