pymc-devs · OriolAbril · Jan 7, 2022 · Dec 17, 2021 · Dec 18, 2021 · Dec 18, 2021
diff --git a/README.rst b/README.rst
@@ -10,7 +10,7 @@ focusing on advanced Markov chain Monte Carlo (MCMC) and variational inference (
 algorithms. Its flexibility and extensibility make it applicable to a
 large suite of problems.
 
-Check out the `getting started guide <https://docs.pymc.io/en/stable/pymc-examples/examples/getting_started.html>`__,  or
+Check out the `PyMC overview <https://docs.pymc.io/en/stable/learn/examples/pymc_overview.html>`__,  or
 `interact with live examples <https://mybinder.org/v2/gh/pymc-devs/pymc/main?filepath=%2Fdocs%2Fsource%2Fnotebooks>`__
 using Binder!
 For questions on PyMC, head on over to our `PyMC Discourse <https://discourse.pymc.io/>`__ forum.
@@ -41,7 +41,7 @@ If you already know about Bayesian statistics:
 ----------------------------------------------
 
 -  `API quickstart guide <https://docs.pymc.io/en/stable/pymc-examples/examples/pymc3_howto/api_quickstart.html>`__
--  The `PyMC tutorial <https://docs.pymc.io/en/stable/pymc-examples/examples/getting_started.html>`__
+-  The `PyMC tutorial <https://docs.pymc.io/en/stable/learn/examples/pymc_overview.html>`__
 -  `PyMC examples <https://docs.pymc.io/nb_examples/index.html>`__ and the `API reference <https://docs.pymc.io/en/stable/api.html>`__
 
 Learn Bayesian statistics with a book together with PyMC

diff --git a/docs/source/learn/examples.md b/docs/source/learn/examples.md
@@ -33,7 +33,7 @@ TODO add categories to all notebooks
 :hidden:
 :maxdepth: 1
 
-examples/getting_started
+examples/pymc_overview
 examples/GLM_linear
 examples/model_comparison
 examples/posterior_predictive

diff --git a/docs/source/learn/examples/GLM_linear.ipynb b/docs/source/learn/examples/GLM_linear.ipynb
diff --git a/docs/source/learn/examples/getting_started.ipynb b/docs/source/learn/examples/getting_started.ipynb
diff --git a/docs/source/learn/examples/model_comparison.ipynb b/docs/source/learn/examples/model_comparison.ipynb
diff --git a/docs/source/learn/examples/pymc_overview.ipynb b/docs/source/learn/examples/pymc_overview.ipynb
diff --git a/docs/source/learning.md b/docs/source/learning.md
@@ -30,7 +30,7 @@ A great introductory book written by a maintainer of PyMC. It provides a hands-o
 ### {octicon}`mortar-board;1em;sd-text-info` Tutorial notebooks
 
 #### Getting started
-The {ref}`getting_started` notebook in our documentation shows the PyMC 4.0 code in action
+The {ref}`pymc_overview` notebook in our documentation shows the PyMC 4.0 code in action
 
 #### General Linear Models: Linear regression