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