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Duration 35 hours
Course Outline
Introduction to AI in Python
- Foundational concepts and the broader scope of AI
- Essential Python libraries for AI development
- Standard project architecture and development workflows
Preparing Data for AI
- Data sanitation, transformation, and feature creation
- Strategies for managing missing values and class imbalance
- Techniques for feature scaling and encoding
Supervised Learning Approaches
- Algorithms for regression and classification tasks
- Ensemble techniques, including Random Forest and Gradient Boosting
- Optimizing hyperparameters and applying cross-validation
Unsupervised Learning Approaches
- Clustering algorithms such as K-Means, DBSCAN, and hierarchical methods
- Dimensionality reduction techniques like 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
- Methods for enhancing neural network performance
Introduction to Reinforcement Learning
- Key concepts: agents, environments, and reward systems
- Coding basic reinforcement learning algorithms
- Real-world applications of reinforcement learning
Deploying AI Models
- Methods for saving and retrieving trained models
- Connecting models to applications through APIs
- Oversight and maintenance of AI systems in production environments
Conclusion and Future Directions
Requirements
- A strong grasp of fundamental Python programming concepts
- Practical experience using data analysis tools like NumPy and pandas
- A foundational understanding of machine learning principles and algorithms
Target Audience
- Software developers looking to broaden their AI engineering capabilities
- Data analysts aiming to leverage AI techniques for analyzing complex datasets
- R&D specialists focused on constructing AI-enhanced 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
