Comparte si te a gustado:

Learn AI Game Development using Python

Publicado en 11 Jun 2024

Udemy UK

What you'll learn

  • Master Core Concepts: Gain a deep understanding of DP, Q-learning, deep Q-learning, and convolutional Q-learning.
  • Develop Practical Skills: Implement and train models using TensorFlow and Keras.
  • Solve Real-world Problems: Apply your knowledge to build agents that can solve complex tasks and games.
  • Prepare for Advanced AI Roles: Equip yourself with the skills needed for careers in AI and machine learning.

Requirements

  • Beginner Level Python programming experience is required

Description

Artificial intelligence (AI) is transforming industries and everyday life. From self-driving cars to personalized recommendations on streaming services, AI is at the heart of innovations that are shaping the future. Reinforcement learning (RL) is a pivotal area within AI that focuses on how agents can learn to make decisions by interacting with their environment. This paradigm is particularly powerful for tasks where the optimal solution is not immediately obvious and must be discovered through trial and error.

One of the most critical aspects of learning AI and reinforcement learning (RL) is the ability to bridge the gap between theoretical concepts and practical applications. This course emphasizes a hands-on approach, ensuring that you not only understand the underlying theories but also know how to implement them in real-world scenarios. By working on practical projects, you will develop a deeper comprehension of how AI algorithms can solve complex problems and create intelligent systems.

Course Structure and Topics

  1. Dynamic Programming (DP):

    • Introduction to DP: Understand the basic principles and applications of dynamic programming.

  2. Q-learning:

    • Fundamentals of Q-learning: Learn the theory behind Q-learning, a model-free RL algorithm.

    • Value Function and Policies: Understand how agents learn to map states to actions to maximize cumulative reward.

    • Implementation: Hands-on projects using TensorFlow and Keras to build and train Q-learning agents.

  3. Deep Q-learning:

    • Integrating Deep Learning with RL: Learn how deep neural networks can enhance Q-learning.

    • Handling High-dimensional Spaces: Techniques to manage complex environments and large state spaces.

    • Practical Projects: Implement deep Q-learning models to solve more sophisticated problems.

  4. Convolutional Q-learning:

    • Combining CNNs with Q-learning: Utilize convolutional neural networks to process spatial and visual data.

    • Advanced Applications: Implement RL in environments where visual perception is crucial, such as video games and robotics.

Exciting Projects

To bring these concepts to life, we'll be implementing a series of exciting projects:

  • Maze Solver: Program an agent to find the shortest path through a maze, applying principles of DP and RL.

  • Mountain Car Problem: Tackle this classic RL challenge where an agent must drive a car up a steep hill using momentum.

  • Snake Game: Develop a snake game where the agent learns to maximize its length while avoiding obstacles and navigating the game board efficiently.

Tools and Libraries

Throughout the course, we'll be using TensorFlow and Keras to build and train our models. These libraries provide a robust framework for developing machine learning applications, making it easier to implement and experiment with the algorithms we'll be studying.

Who this course is for:

  • Students and Recent Graduates: Those studying computer science, engineering, mathematics, or related fields who wish to build a strong foundation in AI and machine learning.
  • Beginners in AI: Individuals with little to no prior experience in AI who are eager to start their journey in this exciting field.
  • For Career Changers: The course equips you with in-demand skills that are highly sought after in the job market, opening up new career opportunities.

Debes tener en cuenta que los cupones duran maximo 4 dias o hasta agotar 1000 inscripciones,pero puede vencer en cualquier momento. Obten el curso con cupon haciendo clic en el siguiente boton:

(Cupón válido para las primeras 1000 inscripciones): UDEMY-GAME-AI
Udemy UK
Tags:

Articulos Relacionados

content

Crea tus propios juegos con HTML Y CANVAS JAVASCRIPT

Aprende a programar Juegos en JS. Control de movimientos DE personajes, creación de niveles , dificultades y mucho más!

Ir al Curso
content

Make Simple Games with Python

A course for beginners

Ir al Curso
content

RPG Maker MV: Crea juegos RPG exitosos desde cero

Cómo crear juegos competitivos en el mercado y realizar proyectos INDIE

Ir al Curso
Suscríbete a nuestro boletín
Reciba los últimos Cupones y promociones (Solicitar Cupón)