Bootcamp AI Development
¿Whats is a
Artificial intelligence (AI) development?
Refers to the creation of computer systems or programs that can perform tasks that normally require human intelligence, such as learning, reasoning, decision-making, and problem-solving.
Week 1
Introduction to AI and Python
- Introduction to basic AI concepts
- Overview of the different types of problems that can be solved with AI
- Introduction to Python as a programming language for AI
- Installation of development environments and basic Python libraries (e.g. Anaconda, Jupyter Notebook, NumPy, Pandas)
Week 2
Machine Learning
- Introduction to machine learning and its different approaches (supervised, unsupervised, reinforcement)
- Data preprocessing: cleaning, normalization, and transformation of data
- Feature selection and feature extraction
- Implementation of basic machine learning models (linear regression, logistic regression, decision trees)
Week 3
Deep Learning
- Introduction to deep learning and its different approaches (neural networks, convolutional, recurrent)
- Introduction to TensorFlow or PyTorch for developing deep learning models
- Implementation of basic deep learning models (simple neural networks, convolutional, recurrent)
Week 4
Natural Language Processing
- Introduction to natural language processing (NLP)
- Text preprocessing: cleaning, tokenization, lemmatization, part-of-speech tagging
- Implementation of basic NLP models (text classification, sentiment analysis, text generation)
Week 5
Computer Vision
- Introduction to computer vision
- Image preprocessing: resizing, normalization, transformation
- Implementation of basic computer vision models (image classification, object detection)
Week 6
AI Projects
- Teamwork to develop an AI project from start to finish
- Project selection, problem definition, and data collection
- Implementation of AI models and evaluation of their performance
- Presentation of results and conclusions
Week 7
AI Applications
- Discussion of different AI applications in different fields (medicine, finance, marketing, etc.)
- Presentation of successful case studies in different fields
- Discussion of the ethical and social implications of AI
Week 8
Advancing in AI
- Presentation of the latest trends in AI (such as deep reinforcement learning and federated machine learning)
- Discussion of current and future challenges in AI
- Preparation for the future in AI: how to continue learning and staying updated in the field