UE5 AI Shooting Game Series Overview

What This Series Is About

This playlist teaches how to build a basic AI shooting game foundation in Unreal Engine 5 using Blueprints. It starts from a clean project and gradually adds one system at a time until the project has a working AI combat loop.

By the end of the series, the project includes:

• Enemy Character Blueprint setup
• AI Perception Sight
• NavMesh patrol paths
• Chasing and forgetting logic
• AI Hearing and distraction behavior
• Weapon pickup and equip logic
• Aiming camera and animation blending
• Line trace shooting
• Niagara muzzle flash
• Bullet impact decals
• Physics impulse on shot impact
• Reusable modular health component
• Chaos destructible objects
• Damageable enemy AI
• AI Perception Damage Sense
• Ragdoll death for enemy AI

This is a basic shooter foundation, not a finished commercial combat system. But it gives you the right connected base to understand how these systems communicate and how to expand them later.

Who Should Follow This Playlist?

This series is useful for two types of developers.

Beginners Learning Unreal Engine AI

If you are new to Unreal Engine AI, follow the playlist from the beginning. Do not jump randomly between episodes unless you already understand the project structure. The early episodes create the enemy, perception, movement, and patrol base that later systems depend on.

Intermediate Developers Building Specific Systems

If you already know Unreal Engine basics, you can use this playlist as a system reference. Each episode focuses on one practical feature, so you can jump into topics like AI Perception, line trace shooting, modular health, bullet decals, Chaos destruction, or ragdoll death.

Brutally honest: if you only copy the nodes without understanding why each system exists, you will get stuck when your own project behaves differently. Use the playlist to understand the structure, not just to duplicate screenshots.

Why Watch the Series in Order?

Unreal Engine systems rarely exist alone. A weapon system needs aiming. Aiming needs animation state. Shooting needs trace logic. Trace logic needs hit data. Damage needs health. Health needs death behavior. Enemy reaction needs AI Perception. Ragdoll needs a correct death state.

That is why the playlist is structured as a connected build. Each episode adds one system, then later episodes reuse that system instead of rebuilding everything from scratch.

The correct learning path is:

1. Build the enemy foundation.
2. Add perception and patrol movement.
3. Add chasing, forgetting, and hearing.
4. Add player weapon handling.
5. Add aiming and shooting.
6. Add impact feedback and physics reaction.
7. Add health and destruction.
8. Connect damage reactions back into AI behavior.
9. Finish with ragdoll death.

That order is deliberate. It makes the final project easier to understand and easier to expand.

Series Roadmap

Below is the full roadmap of the AI Shooting Game series and what each chapter teaches.

Chapter One: Enemy Setup and AI Sight

The first episode starts with a clean Unreal Engine 5 project and builds the foundation for the enemy AI system.

In this part, you create the project, organize folders, create the Enemy Character Blueprint, assign the skeletal mesh, set up the animation blueprint, and add AI Perception for sight detection.

This is the base that almost everything else depends on. Without a proper enemy Blueprint and perception setup, patrol, chasing, damage reaction, and later AI behavior will not have a clean foundation.

Key systems covered:

• Enemy Character Blueprint
• Skeletal mesh setup
• Animation Blueprint assignment
• AI Perception component
• AI Sight configuration
• Detection debugging

Chapter Two: Patrol Paths and NavMesh

The second episode gives the enemy a real patrol system. Instead of standing still, the AI can move through the level using NavMesh and tagged patrol points.

You set up a NavMesh Bounds Volume, place Target Points in the level, use actor tags to define multiple patrol paths, and create a Blueprint patrol loop that moves the enemy between points.

This episode also fixes a common AI animation issue where enemies slide instead of walking or running correctly. The fix uses acceleration for path following.

Key systems covered:

• NavMesh setup
• Target Point patrol markers
• Actor tags for patrol paths
• Random patrol point selection
• Editable patrol path variables
• Multiple enemies with different routes
• Sliding animation fix

Chapter Three: Chasing and Forgetting the Player

The third episode upgrades the patrol enemy into an AI that can detect the player, chase them, forget them, and return to patrol.

You fine tune AI Sight settings, adjust the lose sight radius, use Max Age, and enable Unreal Engine's Forget Stale Actors option. This allows the enemy to lose memory of the player after a delay instead of chasing forever.

This is where the enemy starts feeling more like an actual game AI instead of a moving object.

Key systems covered:

• AI Sight tuning
• Lose sight radius
• Max Age
• Forget Stale Actors
• Chase speed changes
• AI Move To for chasing
• Return to patrol after forgetting

Chapter Four: Distraction System and AI Hearing

The fourth episode adds a throwable distraction system. This is the first real step toward stealth-style enemy behavior.

You create a throwable object, set up player input, add physics behavior, play a three-dimensional sound effect on impact, and report the noise to AI Perception. Then you add Hearing Sense to the enemy so it can react to sound locations.

The enemy can hear the thrown object, move toward the noise, investigate the area, and then return to patrol.

Key systems covered:

• Throwable object Blueprint
• Input action for throwing
• Projectile-style movement
• 3D sound cue setup
• Report Noise Event
• AI Hearing Sense
• Noise investigation behavior
• Return to patrol after sound memory expires

Chapter Five: Weapon Pickup and Equip System

The fifth episode starts the weapon system. Before shooting can exist, the player needs a clean way to find, pick up, and equip a weapon.

You import and prepare the rifle mesh, attach it to the player character, create a world pickup actor, add collision detection, and build a pickup prompt widget. Then you use Enhanced Input so the player can press a key to equip the weapon.

This creates the armed state that later aiming and firing logic depend on.

Key systems covered:

• Rifle mesh setup
• Weapon attachment to player hand
• World pickup actor
• Pickup collision sphere
• Pickup prompt widget
• Enhanced Input pickup action
• Equipped weapon visibility
• Armed state tracking

Chapter Six: Aiming, Animation Retargeting, and Camera Switching

The sixth episode builds the player aiming system.

You import and retarget weapon animations to the UE5 Manny skeleton, rebuild the Animation Blueprint, add aiming and aim walking states, and use Layered Blend Per Bone so the upper body can aim while the lower body continues handling movement.

Then you create an aiming input and switch to a dedicated shoulder camera when the player holds the right mouse button.

Key systems covered:

• Animation retargeting
• Animation Blueprint state updates
• Aiming state
• Aim walking state
• Layered Blend Per Bone
• Upper body and lower body animation separation
• Right mouse aiming input
• Shoulder camera switching

Chapter Seven: Line Trace Shooting and Fire Logic

The seventh episode creates the first working shooting system.

You create a fire input action, add a FirePoint to the weapon muzzle, build a camera-based line trace, trigger the firing montage, play sound from the weapon muzzle, and add a temporary crosshair for testing.

The important idea here is that the shot follows where the player aims, not just where the weapon mesh points.

Key systems covered:

• Fire input action
• FirePoint component
• Camera-based line trace
• Gun range variable
• Fire animation montage
• Weapon sound at muzzle location
• Debug trace testing
• Temporary crosshair widget

Chapter Eight: Niagara Muzzle Flash

The eighth episode adds the first proper weapon visual effect: a Niagara muzzle flash.

You import a free muzzle flash effect, inspect the Niagara setup, fix the loop behavior so it acts as a one-shot effect, and spawn it from the FirePoint using the correct location and rotation.

This makes shooting feel much more responsive and gives the weapon proper visual feedback.

Key systems covered:

• Niagara muzzle flash import
• One-shot effect setup
• Spawn System at Location
• FirePoint-based positioning
• Correct muzzle rotation
• Reusable weapon VFX workflow

Chapter Nine: Bullet Hole Impact Decals

The ninth episode adds bullet hole impact feedback using decals.

You generate bullet hole textures with AI, make sure the background is transparent, import the textures into Unreal Engine, and turn them into Deferred Decal materials.

Then you store multiple impact decal materials in an array, randomly choose one when a shot hits a surface, and spawn the decal using the line trace hit data.

Key systems covered:

• AI-generated bullet hole textures
• Transparent texture setup
• Deferred Decal materials
• Decal material array
• Random impact decal selection
• Spawn Decal at Location
• Line trace hit location and normal usage

Chapter Ten: Physics Impulse on Weapon Hits

The tenth episode adds real physical impact to the weapon system.

You set up physics test objects, enable physics simulation, extend the shooting Blueprint, read the hit component and impact point from the line trace, validate the hit, check whether the component is simulating physics, calculate impulse direction, and apply force at the exact impact location.

This makes weapon hits feel heavier and prepares the system for more reactive gameplay.

Key systems covered:

• Physics simulation setup
• Hit component validation
• Impact point usage
• Is Simulating Physics check
• Impulse direction calculation
• Add Impulse at Location
• Physical weapon impact reaction

Chapter Eleven: Modular Health Component

The eleventh episode builds a reusable health system using a Blueprint Actor Component.

Instead of hardcoding health inside every actor, you create one Health Component that can be attached to props, enemies, players, or destructible objects.

This component handles damage, clamps health values, calculates health percentage, broadcasts health changes using Event Dispatchers, updates a world-space health bar, and destroys the actor when health reaches zero.

Key systems covered:

• Blueprint Actor Component
• Reusable health logic
• Damage processing
• Health clamping
• Health percentage calculation
• Event Dispatchers
• World-space health bar
• Actor death handling

Chapter Twelve: Chaos Destructible Objects

The twelfth episode introduces physics-based destruction using Unreal Engine's Chaos Destruction system.

Instead of using the health component or simply destroying the actor, you create a Geometry Collection, fracture the mesh, configure damage thresholds, enable collision-driven damage, and break the object using radial impulse and strain.

You also learn why destruction is scale dependent and why large objects need different values from small props.

Key systems covered:

• Geometry Collection creation
• Mesh fracturing
• Chaos Destruction workflow
• Damage threshold tuning
• Collision-driven destruction
• Radial impulse
• External strain
• Scale-dependent destruction values

Chapter Thirteen: Damageable Enemy AI

The thirteenth episode connects the modular health system to enemy AI.

You create a dedicated Bullet trace channel, attach the reusable Health Component to the enemy Blueprint, bind to the health changed event, update a floating health bar in real time, and handle death when health reaches zero.

This is the episode where the enemy, weapon, and health systems finally become one working gameplay loop.

Key systems covered:

• Custom Bullet trace channel
• Health Component on enemy AI
• Health changed event binding
• Floating health bar update
• Enemy damage from line trace shots
• Death logic integration
• Weapon and AI system connection

Chapter Fourteen: AI Damage Sense Reaction

The fourteenth episode adds AI Perception Damage Sense so the enemy can react when it gets shot.

You add Damage Sense to the AI Perception setup, report a damage event from the weapon logic, use a tag like Shot or Bullet to filter the correct stimulus, and receive that event inside the AI Controller.

Then the enemy moves toward the damage location and uses a forget system so it can return to patrol instead of staying alerted forever.

Key systems covered:

• AI Damage Sense setup
• Report Damage Event
• Damage stimulus tags
• AI Controller perception logic
• Stimulus Location usage
• AI Move To damage location
• Forget event handling
• Return to patrol after damage reaction

Chapter Fifteen: Ragdoll Death for Enemy AI

The fifteenth episode finishes the basic Enemy AI system by adding ragdoll death.

You create a Physics Asset for the enemy skeletal mesh, connect ragdoll behavior to the health death logic, stop destroying the character immediately, disable capsule collision, set the mesh collision profile to Ragdoll, enable physics simulation, and disable character movement.

This gives the enemy a natural physics-based death. The body can also continue reacting to weapon impulse after it falls.

Key systems covered:

• Physics Asset generation
• Death logic cleanup
• Capsule collision disable
• Ragdoll collision profile
• Physics simulation on skeletal mesh
• Character movement disable
• Physics-based enemy death
• Post-death impulse reaction

How All Systems Connect Together

The biggest value of this playlist is not any single feature. The real value is seeing how the features connect.

The enemy starts as a Blueprint with AI Perception. NavMesh gives it movement. Patrol logic gives it behavior. Sight lets it detect the player. Forgetting lets it return to patrol. Hearing lets it investigate sounds. Weapon pickup gives the player combat ability. Aiming makes the weapon usable. Line trace shooting creates hit detection. Muzzle flash and decals add feedback. Physics impulse makes hits feel physical. Health makes objects and enemies damageable. Chaos adds destruction. Damage Sense lets the AI react to being shot. Ragdoll death finishes the enemy lifecycle.

That is the point. A game system is not one node or one feature. It is a chain of connected responsibilities.

Best Way to Use This Playlist

If you want to actually learn from this series, do not binge it passively. Build the project while watching.

1. Watch one episode.
2. Rebuild the system yourself.
3. Test it before moving on.
4. Break it intentionally to understand what each part does.
5. Only then continue to the next episode.

That is how you build real understanding. Watching without rebuilding is entertainment, not learning.

Also, do not skip the early foundation episodes because they look basic. Most broken Unreal projects are broken because the early foundation was weak.

What You Can Build After This Series

Once you understand the full basic AI shooting setup, you can reuse the same concepts in many types of projects:

• Third-person shooter prototypes
• Horror enemy AI
• Stealth games
• Survival games
• Top-down shooters
• Training simulations
• AI combat sandboxes
• Enemy perception experiments
• Destructible object tests

The project is not meant to be a final game template. It is a learning foundation. You should study it, modify it, and build your own systems from it.

What Comes After the Basic AI Series?

After this basic AI shooting game series, the next step is a more advanced AI system.

The planned direction includes:

• Behavior Trees
• Blackboard memory
• Better AI decision making
• Weaponized enemies
• Enemies shooting the player
• Advanced patrol logic
• Investigation behavior
• Stealth-style detection states
• More polished combat reactions
• More believable AI behavior loops

This is the correct progression. First build the basic systems manually so you understand what is happening. Then move into Behavior Trees and Blackboard with a real reason to use them.

Project Files

The project files for this series are available on GitHub:

https://github.com/rambod/AIUnreal

Use the repository as a reference if you get stuck, but do not just download it and call that learning. The real value is rebuilding the system yourself and comparing your version with the project files when something does not work.

Watch the Full Playlist

You can watch the full UE5 AI Shooting Game playlist here:

Unreal Engine 5 AI Shooting Game Series Playlist

Start from the first episode if you want the complete project structure. Jump into specific episodes only if you already understand the foundation.

Conclusion

The Unreal Engine 5 AI Shooting Game Series is a complete basic AI combat foundation built with Blueprints. It covers enemy setup, AI Perception, patrols, chasing, forgetting, hearing, distractions, weapon pickup, aiming, line trace shooting, muzzle flash, bullet impact decals, physics impulse, modular health, Chaos destruction, damageable AI, AI Damage Sense, and ragdoll death.

If you are serious about learning Unreal Engine AI, watch the playlist in order and rebuild the project step by step. The value is not only in the final result. The value is understanding how each system connects to the next one.

Watch the overview video: Unreal Engine 5 AI Shooting Game Series Overview

Watch the full playlist: UE5 AI Shooting Game Playlist

Subscribe for more Unreal Engine tutorials: Subscribe to Rambod on YouTube

Frequently Asked Questions

What is the Unreal Engine 5 AI Shooting Game Series?

It is a Blueprint-based tutorial series that builds a basic AI shooter foundation in Unreal Engine 5, covering enemy AI, perception, patrols, weapons, shooting, health, destruction, damage reactions, and ragdoll death.

Should I watch the playlist in order?

Yes, especially if you are new to Unreal Engine AI. Each episode builds on systems created in previous episodes, so watching in order gives you the cleanest learning path.

Can intermediate developers jump to specific episodes?

Yes. If you already understand the project structure, you can jump directly to systems like AI Perception, line trace shooting, modular health, bullet decals, Chaos destruction, AI Damage Sense, or ragdoll death.

Is this series made with Blueprints or C++?

The series is built with Blueprints. It focuses on practical visual scripting workflows for Unreal Engine 5 gameplay systems.

Does this series use Behavior Trees and Blackboard?

The basic series does not focus on Behavior Trees and Blackboard. It builds the foundation manually first. Advanced AI topics like Behavior Trees, Blackboard, stronger decision making, and weaponized enemies are planned for the next stage.

Can I use this project for a shooter game?

Yes, as a learning foundation. It includes core shooter systems like weapon pickup, aiming, line trace shooting, muzzle flash, bullet impacts, physics impulse, health, and enemy damage. You will still need to expand and polish it for a real production game.

Can this series help with horror or stealth AI?

Yes. The AI Perception, hearing, distraction, chasing, forgetting, and damage reaction systems are useful foundations for horror, stealth, and survival-style enemy behavior.

Where can I download the project files?

The project files are available on GitHub at https://github.com/rambod/AIUnreal.

Is this a complete production-ready AI system?

No. It is a basic AI shooting game foundation. It teaches the connected systems clearly, but a production-ready game would need better architecture, stronger animation polish, more robust AI logic, balancing, optimization, and deeper gameplay design.

What comes after this basic AI series?

The next direction is advanced AI with Behavior Trees, Blackboard, improved decision making, weaponized enemies, enemies shooting the player, advanced patrol logic, investigation behavior, and more believable combat states.