diff --git a/index.md b/index.md
index b8df503..bdad27f 100644
--- a/index.md
+++ b/index.md
@@ -25,6 +25,16 @@ This course will present the basic building blocks of these models, the techniqu
 
 ## Discussion Board: <https://probml-forum.jessebett.com/>
 
+## Lectures and Tutorials ([GoogleDrive](https://drive.google.com/drive/folders/1ohy7FHmgQNFIp3IHsIz2T4AWnvrKOVF9))
+* [Lecture 1 Notes](lec1.md) and [blackboard](https://drive.google.com/file/d/1bNeQn0EOF-2UGPP76hjgsn_I0KZKd0yM/view?usp=sharing) and [zoom recording](https://www.youtube.com/watch?v=6H4STM7mvuk&list=PLHOaL7udqbt9WQBFtkg9AEaxZe2ddXpXJ&index=1)
+
+
+* [Tutorial 1 Code](/Tutorial%201) and [zoom recording](https://www.youtube.com/watch?v=nNGlPossbNM&list=PLHOaL7udqbt9WQBFtkg9AEaxZe2ddXpXJ&index=2)
+
+
+* [Lecture 2 Notes: Probabilistic Reasoning](lec2.md) and [blackboard](https://drive.google.com/file/d/168FckF00dwUT_B1rkCvport3DVRTTUOm/view?usp=sharing) and [zoom recording](https://mymedia.library.utoronto.ca/play/6e481bc25acb844a11a7ba01ad1c9111)
+
+* [Tutorial 2 Slides](https://drive.google.com/file/d/1vnIRx3RAwIhwi29WYTcj0QfOKZ_Ha7ZN/view?usp=sharing) and [zoom recording](https://play.library.utoronto.ca/play/236a033286fcd656f7cc08055f7fd164)
 
 ## Teaching Team
 
@@ -193,15 +203,3 @@ There is no required textbook for this class. Readings from various sources will
 -   David MacKay (2003) *Information Theory, Inference, and Learning Algorithms* <http://www.inference.phy.cam.ac.uk/mackay/itila/> .
 -   Kevin Murphy (2012) *Machine Learning: A Probabilistic Perspective*.
 
-
-# Lecture Notes
-
-
-## [Lecture 1](lec1.md)
-
-
-## [Tutorial 1](tut1.md)
-
-
-## [Lecture 2: Probabilistic Reasoning](lec2.md)
-