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Duration 35 hours
Course Outline
AI in Python: An Overview
- Core concepts and the scope of Artificial Intelligence
- Essential Python libraries for AI development
- Structuring AI projects and defining workflows
Preparing Data for AI
- Data cleaning, transformation, and feature engineering
- Managing missing values and class imbalance
- Techniques for feature scaling and encoding
Supervised Learning Approaches
- Algorithms for regression and classification
- Ensemble methods including Random Forest and Gradient Boosting
- Hyperparameter optimization and cross-validation
Unsupervised Learning Approaches
- Clustering techniques such as K-Means, DBSCAN, and hierarchical clustering
- Dimensionality reduction methods like PCA and t-SNE
- Practical applications of unsupervised learning
Neural Networks and Deep Learning
- Introduction to TensorFlow and Keras
- Constructing and training feedforward neural networks
- Strategies for enhancing neural network performance
Introduction to Reinforcement Learning
- Fundamental concepts of agents, environments, and reward structures
- Implementing foundational reinforcement learning algorithms
- Use cases and applications of reinforcement learning
Deploying AI Models
- Persisting and retrieving trained models
- Integrating models into applications using APIs
- Monitoring and maintaining AI systems in production environments
Conclusion and Future Directions
Requirements
- A strong grasp of fundamental Python programming principles
- Familiarity with data analysis tools such as NumPy and pandas
- Foundational knowledge of machine learning concepts and algorithms
Target Audience
- Software developers seeking to broaden their expertise in AI development
- Data analysts interested in applying AI methodologies to complex datasets
- R&D specialists focused on building AI-powered applications
Testimonials (2)
The trainer was very available to answer all te kind of question I did
Caterina - Stamtech
Course - Developing APIs with Python and FastAPI
Trainer develops training based on participant's pace
