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IA from Basic to Advance
Introduction to IA
Understanding the basics of Artificial Intelligence
History and evolution of Artificial Intelligence
Machine Learning Fundamentals
Introduction to Machine Learning
Supervised Learning
Unsupervised Learning
Reinforcement Learning
Neural Networks and Deep Learning
Introduction to Neural Networks
Deep Learning concepts
Convolutional Neural Networks (CNN)
Recurrent Neural Networks (RNN)
Natural Language Processing (NLP)
Introduction to NLP
Text preprocessing and tokenization
Sentiment analysis
Named Entity Recognition
Computer Vision
Introduction to Computer Vision
Image Processing
Object Detection
Image Segmentation
Advanced Topics in AI
Generative Adversarial Networks (GANs)
Transfer Learning
Model Optimization and Deployment
Ethics in Artificial Intelligence
Capstone Project
Implementing a real-world AI project
Presentation of the project and showcasing skills
Future of AI
Trends in Artificial Intelligence
Impact of AI on society and industries
Career opportunities in AI
Conclusion
Recap of the course
Next steps in mastering AI
Presentation of the project and showcasing skills
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