Update links to point to the latest documentation

flyte_demo/flyte_demo/whats_next.md

@@ -14,17 +14,17 @@ However, we've barely scratched the surface of all the different use cases
 that Flyte supports. Take a look at the following resources to experience
 the full power of Flyte!
 
-- **[👟 Getting Started](https://docs.flyte.org/en/latest/getting_started/index.html)**:
+- **[👟 Getting Started](https://docs.flyte.org/en/latest/quickstart_guide.html)**:
   to get started with Flyte in your own environment check out this quickstart guide.
-- **[📖 User Guide](https://docs.flyte.org/projects/cookbook/en/latest/index.html)**:
-  learn more about the features that make Flyte super powerful 💪, like the built-in [file](https://docs.flyte.org/projects/cookbook/en/latest/auto/core/flyte_basics/files.html#sphx-glr-auto-core-flyte-basics-files-py) and [directory](https://docs.flyte.org/projects/cookbook/en/latest/auto/core/flyte_basics/folders.html#sphx-glr-auto-core-flyte-basics-folders-py) types, [Flyte Decks](https://docs.flyte.org/projects/cookbook/en/latest/auto/core/flyte_basics/deck.html#sphx-glr-auto-core-flyte-basics-deck-py), [dynamic workflows](https://docs.flyte.org/projects/cookbook/en/latest/auto/core/control_flow/dynamics.html#sphx-glr-auto-core-control-flow-dynamics-py), [intratask checkpoints](https://docs.flyte.org/projects/cookbook/en/latest/auto/core/control_flow/checkpoint.html), and [raw container tasks](https://docs.flyte.org/projects/cookbook/en/latest/auto/core/containerization/raw_container.html#sphx-glr-auto-core-containerization-raw-container-py).
-- **[📚 Tutorials](https://docs.flyte.org/projects/cookbook/en/latest/tutorials.html)**:
-  check out examples of how to put all of Flyte's constructs together to build end-to-end data and ML workflows, like [single- and multi-gpu training with pytorch](https://docs.flyte.org/projects/cookbook/en/latest/auto/case_studies/ml_training/mnist_classifier/index.html), [feature engineering with Feast](https://docs.flyte.org/projects/cookbook/en/latest/auto/case_studies/feature_engineering/feast_integration/index.html), and [nucleotide sequence querying for bioinformatics](https://docs.flyte.org/projects/cookbook/en/latest/auto/case_studies/bioinformatics/blast/index.html).
-- **[🔌 Integrations](https://docs.flyte.org/projects/cookbook/en/latest/integrations.html)**:
-  use Flyte with the tools you know and love like [SQL](https://docs.flyte.org/projects/cookbook/en/latest/auto/integrations/flytekit_plugins/sql/index.html), [Papermill](https://docs.flyte.org/projects/cookbook/en/latest/auto/integrations/flytekit_plugins/papermilltasks/index.html), [Pandera](https://docs.flyte.org/projects/cookbook/en/latest/integrations.html), [Sagemaker](https://docs.flyte.org/projects/cookbook/en/latest/auto/integrations/aws/sagemaker_training/index.html), and [Airflow](https://docs.flyte.org/projects/cookbook/en/latest/auto/integrations/external_services/airflow/index.html).
+- **[📖 User Guide](https://docs.flyte.org/en/latest/index.html)**:
+  learn more about the features that make Flyte super powerful 💪, like the built-in [file](https://docs.flyte.org/en/latest/api/flytekit/types.builtins.file.html) and [directory](https://docs.flyte.org/en/latest/api/flytekit/types.builtins.directory.html) types, [Flyte Decks](https://docs.flyte.org/en/latest/user_guide/development_lifecycle/decks.html), [dynamic workflows](https://docs.flyte.org/en/latest/user_guide/advanced_composition/dynamic_workflows.html), [intratask checkpoints](https://docs.flyte.org/en/latest/user_guide/advanced_composition/intratask_checkpoints.html), and [raw container tasks](https://docs.flyte.org/en/latest/user_guide/customizing_dependencies/raw_containers.html).
+- **[📚 Tutorials](https://docs.flyte.org/en/latest/flytesnacks/tutorials.html)**:
+  check out examples of how to put all of Flyte's constructs together to build end-to-end data and ML workflows, like [single- and multi-gpu training with pytorch](https://docs.flyte.org/en/latest/flytesnacks/examples/mnist_classifier/index.html), [feature engineering with Feast](https://docs.flyte.org/en/latest/flytesnacks/examples/feast_integration/index.html), and [nucleotide sequence querying for bioinformatics](https://docs.flyte.org/en/latest/flytesnacks/examples/blast/index.html).
+- **[🔌 Integrations](https://docs.flyte.org/en/latest/flytesnacks/integrations.html)**:
+  use Flyte with the tools you know and love like [SQL](https://docs.flyte.org/en/latest/flytesnacks/examples/sql_plugin/index.html), [Papermill](https://docs.flyte.org/en/latest/flytesnacks/examples/papermill_plugin/index.html), [Pandera](https://docs.flyte.org/en/latest/flytesnacks/examples/pandera_plugin/index.html), [Sagemaker](https://docs.flyte.org/en/latest/flytesnacks/examples/sagemaker_inference_agent/index.html), and [Airflow](https://docs.flyte.org/en/latest/flytesnacks/examples/airflow_agent/index.html).
 - **[🚢 Deployment](https://docs.flyte.org/en/latest/deployment/index.html)**:
-  deploy a Flyte cluster using [AWS](https://docs.flyte.org/en/latest/deployment/aws/manual.html#deployment-aws-manual) or [GCP](https://docs.flyte.org/en/latest/deployment/gcp/manual.html#deployment-gcp-manual), and learn how to configure it to enable Flyte's
-  [backend plugins](https://docs.flyte.org/en/latest/deployment/plugin_setup/index.html#deployment-plugin-setup).
+  deploy a Flyte cluster using AWS or GCP, and learn how to configure it to enable Flyte's
+  [backend plugins](https://docs.flyte.org/en/latest/deployment/plugins/index.html).
 
 
 ## Write your own workflows

flyte_demo/flyte_demo/workflows/iterating.md

@@ -9,13 +9,13 @@ features, which you can see in `iterating.py`.
 ## Structured Datasets
 
 Flyte comes with its own type system, supporting almost all of the
-[built-in Python types](https://docs.flyte.org/projects/cookbook/en/latest/auto/core/type_system/flyte_python_types.html#sphx-glr-auto-core-type-system-flyte-python-types-py),
-but it also exposes a [`StructuredDataset`](https://docs.flyte.org/projects/cookbook/en/latest/auto/core/type_system/structured_dataset.html) type,
+[built-in Python types](https://docs.flyte.org/en/latest/user_guide/data_types_and_io/index.html),
+but it also exposes a [`StructuredDataset`](https://docs.flyte.org/en/latest/user_guide/data_types_and_io/structureddataset.html) type,
 which we can use to create types for objects like `pandas.DataFrame`s.
 
 ## Caching
 
-Add `cache=True` with a `cache_version` string to the `@task` decorator to [cache](https://docs.flyte.org/projects/cookbook/en/latest/auto/core/flyte_basics/task_cache.html#sphx-glr-auto-core-flyte-basics-task-cache-py) the output of the task. This
+Add `cache=True` with a `cache_version` string to the `@task` decorator to [cache](https://docs.flyte.org/en/latest/user_guide/development_lifecycle/caching.html) the output of the task. This
 will ensure that you don't re-run the task if you give it the same exact inputs.
 
 ## Retries

flyte_demo/flyte_demo/workflows/parallelism.md

@@ -5,7 +5,7 @@ Flyte also provides built-in constructs for parallelizing your tasks.
 <!-- button: Open Python Workflow -->
 
 In this example, we're extending our training workflow to implement a simple
-gridsearch workflow leveraging the [`map_task`](https://docs.flyte.org/projects/cookbook/en/latest/auto/core/control_flow/map_task.html#) construct.
+gridsearch workflow leveraging the [`map_task`](https://docs.flyte.org/en/latest/user_guide/advanced_composition/map_tasks.html) construct.
 
 When using `map_task`s, the `@task` function being mapped over can take only
 a single argument. To implement our gridsearch workflow, we update our workflow