diff --git a/crates/burn-core/src/nn/mod.rs b/crates/burn-core/src/nn/mod.rs
index ac428c3063..b3897760ee 100644
--- a/crates/burn-core/src/nn/mod.rs
+++ b/crates/burn-core/src/nn/mod.rs
@@ -33,6 +33,7 @@ mod prelu;
 mod relu;
 mod rnn;
 mod rope_encoding;
+mod sequential;
 mod sigmoid;
 mod swiglu;
 mod tanh;
@@ -52,6 +53,7 @@ pub use prelu::*;
 pub use relu::*;
 pub use rnn::*;
 pub use rope_encoding::*;
+pub use sequential::*;
 pub use sigmoid::*;
 pub use swiglu::*;
 pub use tanh::*;
diff --git a/crates/burn-core/src/nn/sequential.rs b/crates/burn-core/src/nn/sequential.rs
new file mode 100644
index 0000000000..64a3dc68d4
--- /dev/null
+++ b/crates/burn-core/src/nn/sequential.rs
@@ -0,0 +1,92 @@
+/// Create a sequential neural network, similar to numpy's nn.Sequential.
+///
+/// To use this macro, separate your modules into three categories:
+/// - Unit modules: Modules that don't take any parameters (eg. Relu, Sigmoid)
+/// - Modules: Modules that take parameters, but don't have a backend parameter (eg. Dropout, LeakyRelu)
+/// - Backend modules: Modules that take a backend parameter (eg. Linear)
+///
+/// List these classes of modules as comma-separated within classes, then semicolons between, like so:
+/// ```ignore
+/// gen_sequential! {
+///     // No config
+///     Relu,
+///     Sigmoid;
+///     // Has config
+///     DropoutConfig => Dropout,
+///     LeakyReluConfig => LeakyRelu;
+///     // Requires a backend (<B>)
+///     LinearConfig => Linear
+/// }
+/// ```
+///
+/// If there aren't any members of a particular class, the semicolon is still needed:
+/// ```ignore
+/// gen_sequential! {
+///     Relu,
+///     Sigmoid;
+///     // Nothing with no config
+///     ;
+///     LinearConfig => Linear
+/// }
+/// ```
+///
+/// To use this macro, use the types `SequentialConfig` and `Sequential<B>` in your code.
+#[macro_export]
+macro_rules! gen_sequential {
+    ($($unit:tt),*; $($cfg:ty => $module:tt),*; $($bcfg:ty => $bmodule:tt),*) => {
+        #[derive(Debug, burn::config::Config)]
+        pub enum SequentialLayerConfig {
+            $($unit,)*
+            $($module($cfg),)*
+            $($bmodule($bcfg),)*
+        }
+
+        #[derive(Debug, burn::config::Config)]
+        pub struct SequentialConfig {
+            pub layers: Vec<SequentialLayerConfig>
+        }
+
+        impl SequentialConfig {
+            pub fn init<B: burn::prelude::Backend>(&self, device: &B::Device) -> Sequential<B> {
+                Sequential {
+                    layers: self.layers.iter().map(|l| match l {
+                        $(SequentialLayerConfig::$unit => SequentialLayer::$unit($unit),)*
+                        $(SequentialLayerConfig::$module(c) => SequentialLayer::$module(c.init()),)*
+                        $(SequentialLayerConfig::$bmodule(c) => SequentialLayer::$bmodule(c.init(device)),)*
+                    }).collect()
+                }
+            }
+        }
+
+        #[derive(Debug, burn::module::Module)]
+        pub enum SequentialLayer<B: burn::prelude::Backend> {
+            /// In case the expansion doesn't use any backend-based layers. This should never be used.
+            _PhantomData(::core::marker::PhantomData<B>),
+            $($unit($unit),)*
+            $($module($module),)*
+            $($bmodule($bmodule<B>),)*
+        }
+
+        #[derive(Debug, burn::module::Module)]
+        pub struct Sequential<B: burn::prelude::Backend> {
+            pub layers: Vec<SequentialLayer<B>>
+        }
+
+        impl<B: burn::prelude::Backend> Sequential<B> {
+            pub fn forward<const D: usize>(&self, mut input: burn::tensor::Tensor<B, D>) -> burn::tensor::Tensor<B, D> {
+                for layer in &self.layers {
+                    input = match layer {
+                        SequentialLayer::_PhantomData(_) => unreachable!("PhantomData should never be instantiated"),
+                        $(SequentialLayer::$unit(u) => u.forward(input),)*
+                        $(SequentialLayer::$module(m) => m.forward(input),)*
+                        $(SequentialLayer::$bmodule(b) => b.forward(input),)*
+                    };
+                }
+
+                input
+            }
+        }
+    }
+}
+
+pub use gen_sequential;
diff --git a/crates/burn-core/tests/test_gen_sequential.rs b/crates/burn-core/tests/test_gen_sequential.rs
new file mode 100644
index 0000000000..11b729f725
--- /dev/null
+++ b/crates/burn-core/tests/test_gen_sequential.rs
@@ -0,0 +1,33 @@
+use burn_core::nn::{
+    gen_sequential, Dropout, DropoutConfig, LeakyRelu, LeakyReluConfig, Linear, LinearConfig, Relu,
+};
+
+use burn_core as burn;
+
+gen_sequential! {
+    Relu;
+    DropoutConfig => Dropout,
+    LeakyReluConfig => LeakyRelu;
+    LinearConfig => Linear
+}
+
+type TestBackend = burn_ndarray::NdArray;
+
+#[test]
+fn sequential_should_construct() {
+    let cfg = SequentialConfig {
+        layers: vec![
+            SequentialLayerConfig::Relu,
+            SequentialLayerConfig::Dropout(DropoutConfig { prob: 0.3 }),
+            SequentialLayerConfig::LeakyRelu(LeakyReluConfig {
+                negative_slope: 0.01,
+            }),
+            SequentialLayerConfig::Linear(LinearConfig::new(10, 10)),
+        ],
+    };
+
+    let device = Default::default();
+
+    let module: Sequential<TestBackend> = cfg.init(&device);
+    assert_eq!(module.layers.len(), 4);
+}