docs: Add docs for job examples (#148)

* docs: Add docs for job examples * address comments
amazon-braket · Nov 17, 2021 · f307931 · f307931
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diff --git a/doc/examples-hybrid-jobs.rst b/doc/examples-hybrid-jobs.rst
@@ -0,0 +1,33 @@
+################################
+Amazon Braket Hybrid Jobs
+################################
+
+Learn more about hybrid jobs on Amazon Braket.
+
+.. toctree::
+    :maxdepth: 2
+
+**************************
+`Getting Started <https://github.com/aws/amazon-braket-examples/blob/main/examples/hybrid_jobs/0_Getting_started/Getting_started.ipynb>`_
+**************************
+
+This tutorial shows how to run your first Amazon Braket Hybrid Job.
+
+**************************
+`Hyperparameter Tuning <https://github.com/aws/amazon-braket-examples/blob/main/examples/hybrid_jobs/1_Hyperparameter_tuning/Hyperparameter_tuning.ipynb>`_
+**************************
+
+This notebook demonstrates a typical quantum machine learning workflow, including uploading data, monitoring training, and tuning hyperparameters.
+
+**************************
+`Using Pennylane with Braket Jobs <https://github.com/aws/amazon-braket-examples/blob/main/examples/hybrid_jobs/2_Using_PennyLane_with_Braket_Jobs/Using_PennyLane_with_Braket_Jobs.ipynb>`_
+**************************
+
+In this tutorial, we use PennyLane within Amazon Braket Hybrid Jobs to run the Quantum Approximate Optimization Algorithm (QAOA) on a Max-Cut problem.
+
+**************************
+`Bring your own container <https://github.com/aws/amazon-braket-examples/blob/main/examples/hybrid_jobs/3_Bring_your_own_container/bring_your_own_container.ipynb>`_
+**************************
+
+Amazon Braket has pre-configured containers for executing Amazon Braket Hybrid Jobs, which are sufficient for many use cases involving the Braket SDK and PennyLane.
+However, if we want to use custom packages outside the scope of pre-configured containers, we have the ability to supply a custom-built container. In this tutorial, we show how to use Braket Hybrid Jobs to train a quantum machine learning model using BYOC (Bring Your Own Container).
diff --git a/doc/examples.rst b/doc/examples.rst
@@ -14,5 +14,6 @@ https://github.com/aws/amazon-braket-examples.
    examples-hybrid-quantum.rst
    examples-ml-pennylane.rst
    examples-quantum-annealing-dwave.rst
+   examples-hybrid-jobs.rst