AI Camp

An internal event featuring a series of workshops designed to provide you with a comprehensive introduction to Artificial Intelligence. The camp covers main AI fundamental concepts and practical aspects, making it the perfect opportunity to kick start your journey!

Workshops Outline

Basics

• Intro to AI: Data, Fields, Applications, and Project Workflow
• Python Programming & Libraries
• Maths for AI: Calculus, Algebra, Statistics and Probabilities basics

Classical Machine Learning

Supervised Learning (Regression & Classification)

• Linear Regression
• Logistic Regression
• Tree-based methods: Decision Tree, Random Forest, XGBoosting

Unsupervised Learning

• Clustering

Deep Learning

• Neural Networks (Layers, Optimizers, Hyperparameter Tuning...)

Computer Vision

• Image Data & Data Augmentation
• Convolutional Neural Networks
• Image Classification (Model architectures & Transfer Learning)
• Object Detection (YOLO Model)
• Image Segmentation (U-Network)

Natural Language Processing

• Text Data & Word Embedding
• Machine Learning for NLP
• Deep Learning for NLP (Recurrent Layers (RNN, LSTM, GRU))
• Transformers (Intro to LLMs)

Reinforcement Learning

• RL Framework (Agent, Environment, Observation, Action, Reward)
• Value-Based Methods (Q-Learning & Deep-Q-Network (DQN))
• Policy Based Methods (Proximal Policy Optimization (PPO))

Resources

• Slides, Notebooks and Challenges can be found in the Repository
• Additionally, Session Recordings can be found in Google Drive

Credits

• This camp was designed and delivered by School of AI Algiers Technical Department
• Workshops list alongside each description and trainer can be found in the Repository