Thank you for sending your enquiry! One of our team members will contact you shortly.
Thank you for sending your booking! One of our team members will contact you shortly.
Duration 35 hours
Course Outline
Introduction to AI in Python
- Fundamental concepts and the scope of AI
- Essential Python libraries for AI development
- Structuring AI projects and establishing workflows
Data Preparation for AI
- Techniques for data cleaning, transformation, and feature engineering
- Strategies for handling missing and imbalanced data
- Methods for feature scaling and encoding
Supervised Learning Approaches
- Algorithms for regression and classification
- Ensemble techniques including Random Forest and Gradient Boosting
- Hyperparameter tuning and cross-validation strategies
Unsupervised Learning Methods
- Clustering algorithms such as K-Means, DBSCAN, and hierarchical clustering
- Dimensionality reduction techniques like PCA and t-SNE
- Practical use cases for unsupervised learning
Neural Networks and Deep Learning
- Overview of TensorFlow and Keras
- Construction and training of feedforward neural networks
- Strategies for optimizing neural network performance
Foundations of Reinforcement Learning
- Key concepts: agents, environments, and reward systems
- Implementation of basic reinforcement learning algorithms
- Real-world applications of reinforcement learning
Deployment of AI Models
- Processes for saving and loading trained models
- Integrating models into applications through APIs
- Monitoring and maintaining AI systems in production environments
Conclusion and Future Directions
Requirements
- A strong grasp of Python programming fundamentals
- Proficiency with data analysis libraries like NumPy and pandas
- Familiarity with core machine learning concepts and algorithms
Target Audience
- Software developers looking to enhance their AI capabilities
- Data analysts aiming to apply AI techniques to complex data sets
- R&D professionals 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
