Description
Overview
Artificial Intelligence (AI) is a transformative technology that has the potential to revolutionize various industries and job roles. As a skill intern, understanding the basics of AI is crucial for staying competitive in today’s rapidly evolving job market. This brief overview will introduce you to the fundamental concepts of AI and its applications, enabling you to grasp its significance and relevance in your field of expertise. a foundational understanding of AI’s key concepts and its potential impact on your career. This knowledge will empower you to explore AI further and incorporate it into your skill set, ensuring you remain competitive and adaptable in an increasingly AI-driven world.
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Program Content Introduction to AI
- Definition and history of AI
- Overview of AI subfields and applications
- Ethical considerations in AI
Introduction to Neural Networks
- Understanding artificial neural networks
- Activation functions and feedforward propagation
- Introduction to backpropagation
Deep Learning Techniques
- Convolutional Neural Networks (CNNs) for computer vision
- Recurrent Neural Networks (RNNs) for sequence data
- Transfer learning and fine-tuning
Natural Language Processing (NLP)
- Text pre-processing and tokenization
- Sentiment analysis and text classification
- Named Entity Recognition (NER) and language generation
Advanced Deep Learning Architectures
- Generative Adversarial Networks (GANs) for image synthesis
- Transformer models for NLP tasks
- Variational Autoencoders (VAEs) for generative modelling
Recommendation System
- Create a recommendation system that suggests products, movies, or music to users based on their preferences and past behavior.
- Collaborative filtering and content-based recommendation systems are common approaches.
Predictive Text Generation
- Develop a model that can generate human-like text based on a given input.
- Experiment with recurrent neural networks (RNNs) or transformers to create a text generation model.
Handwriting Recognition
- Develop a model that can generate human-like text based on a given input.
- Experiment with recurrent neural networks (RNNs) or transformers to create a text generation model.
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