Artificial Intelligence
Discover how to create your own machine learning projects using supervised and unsupervised machine learning algorithms.
In the course, you'll delve into a range of AI topics, including machine learning, deep learning, natural language processing, computer vision, and neural networks. 📚💻 You'll learn to leverage powerful algorithms and tools to extract insights from data, make predictions, automate tasks, and create intelligent systems.
Last Updated 07/23
English
Certificate Course
Syllabus
Month 1
Introduction to Artificial Intelligence
Week 1
Overview of AI and its applications
Week 2
History and evolution of AI
Week 3
Ethics and societal implications of AI
Week 4
Introduction to Python programming for AI
Month 2
Machine Learning Fundamentals
Week 1
Introduction to supervised and unsupervised learning
Week 2
Regression and classification algorithms
Week 3
Model evaluation and selection
Week 4
Feature engineering and data preprocessing techniques
Month 3
Deep Learning and Neural Networks
Week 1
Introduction to artificial neural networks
Week 2
Activation functions and backpropagation
Week 3
Convolutional Neural Networks (CNNs) for computer vision
Week 4
Recurrent Neural Networks (RNNs) for natural language processing
Month 4
SNatural Language Processing (NLP)
Week 1
Text preprocessing and feature extraction
Week 2
Language modeling and sentiment analysis
Week 3
Named Entity Recognition (NER) and text classification
Week 4
Sequence-to-Sequence models and machine translation
Month 5
Computer Vision
Week 1
Image processing techniques
Week 2
Object detection and image segmentation
Week 3
Convolutional Neural Networks (CNNs) for image classification
Week 4
Generative Adversarial Networks (GANs) for image synthesis
Month 6
Advanced Topics and Applications
Week 1
Reinforcement Learning and Markov Decision Processes
Week 2
Transfer Learning and model deployment
Week 3
Ethical considerations and bias in AI
Week 4
Capstone project: Applying AI techniques to a real-world problem
