AI

Описание курса

The AI course at GameDevHQ Academy is designed for students passionate about solving complex problems using data and intelligent algorithms. The program is split into three comprehensive tracks: Python & Machine Learning, Deep Learning & Computer Vision, and AI for Games & Simulation. Students graduate with a portfolio of AI-powered applications and tools, alongside real-world experience working on innovative projects with active AI practitioners.

Track 1: Python & Machine Learning
Core Programming & ML Concepts:

• Python for Data Science

• Numpy, Pandas, Matplotlib, and Scikit-learn

• Regression, Classification, Clustering

• Model Evaluation & Hyperparameter Tuning


Data Handling:

• ETL Pipelines and APIs

• Handling Missing Data & Feature Engineering

• Versioning Models with MLflow



Track 2: Deep Learning & Computer Vision
Neural Networks:

• TensorFlow and PyTorch

• CNNs, RNNs, LSTMs, GANs

• Transfer Learning


Computer Vision:

• Image Processing with OpenCV

• Object Detection and Image Segmentation

• Face Recognition and Pose Estimation


Project Applications:

• Medical Imaging

• Smart Surveillance

• Industrial Automation



Track 3: AI for Games & Simulation
Game AI Techniques:

• Pathfinding (A*, NavMesh)

• State Machines and Decision Trees

• Behavior Trees for NPCs

• AI in Strategy and Simulation Games


Advanced Topics:

• Reinforcement Learning (Q-Learning, DQN)

• AI Integration in Unity and Unreal

• Voice & Emotion Recognition


Capstone Project:

• Design and Build an AI-powered Game or App

• Presentation and Publishing to GitHub or Marketplace