Added some learning doc links (apache#29878)

website/www/site/content/en/get-started/_index.md

@@ -21,14 +21,20 @@ limitations under the License.
 
 # Get Started with Apache Beam
 
-Learn how to use Beam to create data processing pipelines that run on supported processing back-ends.
+Learn how to use Beam to create data processing pipelines that run on supported processing back-ends. More learning resources are [here](https://beam.apache.org/get-started/resources/learning-resources/).
+
+You can also get a Beam badge now if you pass [this quest](https://beam.apache.org/get-started/resources/learning-resources/#certifications)!
 
 ## Tour of Beam
 
 [Learn Beam with an interactive tour](https://tour.beam.apache.org).
 Topics include core Beam concepts, from simple to advanced.
 You can try examples, do exercises, and solve challenges along the learning journey.
 
+## Beam Playground
+
+[Beam Playground](https://play.beam.apache.org) is an interactive environment to try out Beam transforms and examples without having to install Apache Beam in your environment.
+
 ## Beam Overview
 
 Read the [Apache Beam Overview](/get-started/beam-overview) to learn about the Beam model,

website/www/site/content/en/get-started/resources/learning-resources.md

@@ -151,11 +151,16 @@ complexity. Beam Katas are available for both Java and Python SDKs.
 
 ## Code Examples {#code-examples}
 
+### Dataflow Cookbook
+
+The [cookbook](https://github.com/GoogleCloudPlatform/dataflow-cookbook) includes examples in Java, Python, and Scala (via Scio), provides ready-to-launch and self-contained Beam pipelines.
+
 ### Java
 
 *   **[Snippets 1](https://github.com/apache/beam/tree/master/examples/java/src/main/java/org/apache/beam/examples/cookbook)** - Commonly-used data analysis patterns such as how to use [BigQuery](https://cloud.google.com/bigquery), a CombinePerKey transform, remove duplicate lines in files, filtering, joining PCollections, getting the maximum value of a PCollection, etc.
 *   **[Snippets 2](https://github.com/apache/beam/tree/master/examples/java/src/main/java/org/apache/beam/examples/common)** - Additional examples on common tasks such as configuring [BigQuery](https://cloud.google.com/bigquery), [PubSub](https://cloud.google.com/pubsub/), writing one file per window, etc.
 *   **[Complete Examples](https://github.com/apache/beam/tree/master/examples/java/src/main/java/org/apache/beam/examples/complete)** - End-to-end example pipelines such as an auto complete, a streaming word extract, calculating the Term Frequency-Inverse Document Frequency ([TF-IDF](https://en.wikipedia.org/wiki/Tf%E2%80%93idf)), getting the top Wikipedia sessions, traffic max lane flow, traffic routes, etc.
+*   **[Pub/Sub to BigQuery](https://github.com/GoogleCloudPlatform/cloud-code-samples/tree/v1/java/java-dataflow-samples/read-pubsub-write-bigquery)** - A complete example demonstrates using Apache Beam on Dataflow to convert JSON encoded Pub/Sub subscription message strings into structured data and write that data to a BigQuery table.
 
 ### Python