Adding video links

1-Introduction/1-intro-to-ML/README.md

@@ -12,6 +12,10 @@ Watch the video, then take the pre-lesson quiz
 
 ---
 
+[![ML for beginners - Introduction to Machine Learning for Beginners](https://img.youtube.com/vi/6mSx_KJxcHI/0.jpg)](https://youtu.be/6mSx_KJxcHI "ML for beginners - Introduction to Machine Learning for Beginners")
+
+> 🎥 Click the image above for a short video working through this lesson.
+
 Welcome to this course on classical machine learning for beginners! Whether you're completely new to this topic, or an experienced ML practitioner looking to brush up on an area, we're happy to have you join us! We want to create a friendly launching spot for your ML study and would be happy to evaluate, respond to, and incorporate your [feedback](https://github.com/microsoft/ML-For-Beginners/discussions).
 
 [![Introduction to ML](https://img.youtube.com/vi/h0e2HAPTGF4/0.jpg)](https://youtu.be/h0e2HAPTGF4 "Introduction to ML")

1-Introduction/2-history-of-ML/README.md

@@ -7,6 +7,10 @@
 
 ---
 
+[![ML for beginners - History of Machine Learning](https://img.youtube.com/vi/N6wxM4wZ7V0/0.jpg)](https://youtu.be/N6wxM4wZ7V0 "ML for beginners - History of Machine Learning")
+
+> 🎥 Click the image above for a short video working through this lesson.
+
 In this lesson, we will walk through the major milestones in the history of machine learning and artificial intelligence.
 
 The history of artificial intelligence (AI) as a field is intertwined with the history of machine learning, as the algorithms and computational advances that underpin ML fed into the development of AI. It is useful to remember that, while these fields as distinct areas of inquiry began to crystallize in the 1950s, important [algorithmic, statistical, mathematical, computational and technical discoveries](https://wikipedia.org/wiki/Timeline_of_machine_learning) predated and overlapped this era. In fact, people have been thinking about these questions for [hundreds of years](https://wikipedia.org/wiki/History_of_artificial_intelligence): this article discusses the historical intellectual underpinnings of the idea of a 'thinking machine.'

1-Introduction/4-techniques-of-ML/README.md

@@ -7,6 +7,10 @@ The process of building, using, and maintaining machine learning models and the
 
 ## [Pre-lecture quiz](https://gray-sand-07a10f403.1.azurestaticapps.net/quiz/7/)
 
+[![ML for beginners - Techniques of Machine Learning](https://img.youtube.com/vi/4NGM0U2ZSHU/0.jpg)](https://youtu.be/4NGM0U2ZSHU "ML for beginners - Techniques of Machine Learning")
+
+> 🎥 Click the image above for a short video working through this lesson.
+
 ## Introduction
 
 On a high level, the craft of creating machine learning (ML) processes is comprised of a number of steps:

2-Regression/1-Tools/README.md

@@ -21,6 +21,10 @@ In this lesson, you will learn how to:
 
 ## Installations and configurations
 
+[![ML for beginners - Setup your tools ready to build Machine Learning models](https://img.youtube.com/vi/-DfeD2k2Kj0/0.jpg)](https://youtu.be/-DfeD2k2Kj0 "ML for beginners -Setup your tools ready to build Machine Learning models")
+
+> 🎥 Click the image above for a short video working through configuring your computer for ML.
+
 [![Setup Python with Visual Studio Code](https://img.youtube.com/vi/yyQM70vi7V8/0.jpg)](https://youtu.be/yyQM70vi7V8 "Setup Python with Visual Studio Code")
 
 > 🎥 Click the image above for a video: using Python within VS Code.

README.md

@@ -44,6 +44,14 @@ Travel with us around the world as we apply these classic techniques to data fro
 
 ---
 
+## Video walkthroughs
+
+Some of the lessons are available as short form video. You can find all these in-line in the lessons, or on the [ML for Beginners playlist on the Microsoft Developer YouTube channel](https://aka.ms/ml-beginners-videos) by clicking the image below.
+
+[![ML for beginners banner](./ml-for-beginners-video-banner.png)](https://aka.ms/ml-beginners-videos)
+
+---
+
 ## Meet the Team
 
 [![Promo video](ml.gif)](https://youtu.be/Tj1XWrDSYJU "Promo video")
@@ -66,6 +74,7 @@ By ensuring that the content aligns with projects, the process is made more enga
 
 - optional sketchnote
 - optional supplemental video
+- video walkthrough (some lessons only)
 - pre-lecture warmup quiz
 - written lesson
 - for project-based lessons, step-by-step guides on how to build the project