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Duration 35 hours
Course Outline
Overview of AI in Python
- Core concepts and the scope of AI
- Essential Python libraries for AI development
- Structuring AI projects and establishing workflows
Data Preparation for AI
- Data cleaning, transformation, and feature engineering
- Strategies for handling missing and unbalanced data
- Techniques for feature scaling and encoding
Supervised Learning Techniques
- Regression and classification algorithms
- Ensemble methods including Random Forest and Gradient Boosting
- Hyperparameter tuning and cross-validation practices
Unsupervised Learning Techniques
- Clustering methods such as K-Means, DBSCAN, and hierarchical clustering
- Dimensionality reduction using PCA and t-SNE
- Practical use cases for unsupervised learning
Neural Networks and Deep Learning
- Introduction to TensorFlow and Keras
- Constructing and training feedforward neural networks
- Strategies for optimizing neural network performance
Introduction to Reinforcement Learning
- Fundamental concepts: agents, environments, and rewards
- Implementing basic reinforcement learning algorithms
- Real-world applications of reinforcement learning
Deploying AI Models
- Methods for saving and loading trained models
- Integrating models into applications via APIs
- Monitoring and maintaining AI systems in production environments
Summary and Next Steps
Requirements
- A strong grasp of Python programming fundamentals
- Practical experience with data analysis libraries such as NumPy and pandas
- A foundational understanding of machine learning concepts and algorithms
Target Audience
- Software developers looking to enhance their AI development capabilities
- Data analysts interested in applying AI techniques to complex datasets
- R&D professionals working on the creation of AI-powered applications
Custom Corporate Training
Training solutions designed exclusively for businesses.
- Customized Content: We adapt the syllabus and practical exercises to the real goals and needs of your project.
- Flexible Schedule: Dates and times adapted to your team's agenda.
- Format: Online (live), In-company (at your offices), or Hybrid.
Price per private group, online live training, starting from 8000 € + VAT*
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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
