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Course Outline
Introduction to AI in Python
- Core concepts and the scope of AI
- Essential Python libraries for AI development
- Structuring AI projects and defining workflows
Data Preparation for AI
- Performing data cleaning, transformation, and feature engineering
- Managing missing and imbalanced datasets
- Applying feature scaling and encoding techniques
Supervised Learning Approaches
- Understanding regression and classification algorithms
- Employing ensemble methods such as Random Forest and Gradient Boosting
- Conducting hyperparameter tuning and cross-validation
Unsupervised Learning Approaches
- Exploring clustering methods like K-Means, DBSCAN, and hierarchical clustering
- Reducing dimensionality with PCA and t-SNE
- Identifying practical use cases for unsupervised learning
Neural Networks and Deep Learning
- Getting started with TensorFlow and Keras
- Constructing and training feedforward neural networks
- Enhancing the performance of neural networks
Reinforcement Learning (Introduction)
- Understanding core concepts: agents, environments, and rewards
- Implementing fundamental reinforcement learning algorithms
- Reviewing practical applications of reinforcement learning
Deployment of AI Models
- Saving and retrieving trained models
- Integrating models into applications through APIs
- Monitoring and maintaining AI systems in production environments
Summary and Path Forward
Requirements
- A strong grasp of Python programming fundamentals
- Practical experience with data analysis libraries such as NumPy and pandas
- Familiarity with basic machine learning concepts and algorithms
Target Audience
- Software developers seeking to broaden their AI development capabilities
- Data analysts looking to leverage AI techniques for complex dataset analysis
- R&D professionals creating AI-driven applications
35 Hours
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