Artipisyal na Katalinuhan
( 24 Module )

module #1
Introduction to Artificial Intelligence
Exploring the definition, history, and applications of AI

module #2
Machine Learning Fundamentals
Understanding supervised, unsupervised, and reinforcement learning

module #3
Mathematics for AI
Linear Algebra, Calculus, at Probability para sa AI applications

module #4
Python for AI
Introduction to Python programming for AI and data science

module #5
Data Preprocessing and Visualization
Cleaning, transforming, at visualizing data para sa AI applications

module #6
Supervised Learning
Building regression and classification models with scikit-learn

module #7
Unsupervised Learning
Clustering, dimensionality reduction, at density estimation

module #8
Reinforcement Learning
Introduction to Mga proseso ng desisyon ng Markov at Q-learning

module #9
Deep Learning Fundamentals
Introduction to neural networks, perceptrons, and backpropagation

module #10
Convolutional Neural Networks (CNNs)
Image processing and object detection with CNNs

module #11
Recurrent Neural Networks (RNNs)
Sequence data at language models na may RNNs at LSTMs

module #12
Natural Language Processing (NLP)
Text preprocessing, tokenization, at language modelling

module #13
Computer Vision
Pag-uuri ng larawan, pagtukoy ng bagay, at pagse-segment

module #14
Robotics at Control System
Panimula sa robotics, control system, at pagpoproseso ng sensor

module #15
AI Ethics and Bias
Pag-unawa at pagtugon sa bias sa AI system

module #16
AI Applications in Industry
Exploring AI applications in healthcare, finance, and marketing

module #17
AI for Social Good
Paggamit ng AI para sa social impact at environmental sustainability

module #18
Neural Mga Arkitektura ng Network
Paggalugad ng mga advanced na arkitektura ng neural network

module #19
Mga Generative na Modelo
Introduksyon sa mga GAN, VAE, at generative na modelo

module #20
Transfer Learning at Fine-tuning
Paggamit ng mga pre-trained na modelo para sa mahusay AI development

module #21
AI para sa Time Series Forecasting
Paggamit ng AI para sa time series forecasting at anomalya detection

module #22
AI para sa Recommender System
Pagbuo ng mga personalized na recommender system na may AI

module #23
AI Project Development
Pagbuo ng real-world AI project mula sa simula

module #24
Pagtatapos ng Kurso at Konklusyon
Pagpaplano ng mga susunod na hakbang sa karera ng Artificial Intelligence

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