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Duration 35 hours (5 days)
Course Outline
Foundations of AI in Python
- 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 cleansing, transformation, and feature engineering
- Strategies for handling missing and imbalanced data
- Techniques for feature scaling and encoding
Supervised Learning Approaches
- Algorithms for regression and classification tasks
- Ensemble techniques: Random Forest and Gradient Boosting
- Hyperparameter tuning and cross-validation strategies
Unsupervised Learning Approaches
- Clustering algorithms: K-Means, DBSCAN, and hierarchical clustering
- Dimensionality reduction techniques: PCA and t-SNE
- Practical use cases for unsupervised learning
Neural Networks and Deep Learning
- Getting started with TensorFlow and Keras
- Constructing and training feedforward neural networks
- Enhancing neural network performance
Introduction to Reinforcement Learning
- Fundamental concepts of agents, environments, and reward signals
- Implementing basic reinforcement learning algorithms
- Real-world applications of reinforcement learning
Deploying AI Models
- Persistence: Saving and loading trained models
- Integrating models into applications via APIs
- Monitoring and maintaining AI systems in production environments
Conclusion and Future Directions
Requirements
- A strong command of fundamental Python programming concepts
- Familiarity with data analysis tools such as NumPy and pandas
- A foundational understanding of machine learning principles and algorithms
Target Audience
- Software engineers looking to broaden their expertise in AI development
- Data analysts eager to apply AI methodologies to complex data sets
- R&D specialists focused on creating AI-driven 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
