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
Foundations of AI in Python
- Core AI concepts and their scope
- Essential Python libraries for AI projects
- Structuring AI projects and defining workflows
Preparing Data for AI
- Data cleansing, transformation, and feature engineering
- Managing missing values and class imbalances
- Techniques for feature scaling and encoding
Supervised Learning Methods
- Algorithms for regression and classification
- Ensemble techniques, including Random Forest and Gradient Boosting
- Hyperparameter optimization and cross-validation strategies
Unsupervised Learning Methods
- Clustering approaches such as K-Means, DBSCAN, and hierarchical clustering
- Dimensionality reduction using PCA and t-SNE
- Practical applications of unsupervised learning
Deep Learning and Neural Networks
- Getting started with TensorFlow and Keras
- Construction and training of feedforward neural networks
- Strategies for enhancing neural network performance
Introduction to Reinforcement Learning
- Fundamentals of agents, environments, and reward systems
- Implementation of basic reinforcement learning algorithms
- Real-world use cases for reinforcement learning
Model Deployment
- Persistence of trained models (saving and loading)
- API integration for embedding models into applications
- Monitoring and maintenance of AI systems in production
Wrap-Up and Future Directions
Requirements
- A strong command of fundamental Python programming concepts
- Proficiency in data analysis using libraries like NumPy and pandas
- A foundational grasp of machine learning principles and algorithms
Target Audience
- Software engineers looking to broaden their AI development expertise
- Data analysts eager to apply AI methods 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
