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Duration 35 hours
Course Outline
Introduction to AI in Python
- Core concepts and the scope of Artificial Intelligence
- Essential Python libraries for AI development
- Structuring AI projects and establishing workflows
Preparing Data for AI
- Data cleaning, transformation, and feature engineering techniques
- Strategies for handling missing values and unbalanced datasets
- Feature scaling and encoding methods
Supervised Learning Approaches
- Regression and classification algorithms
- Ensemble techniques, including Random Forest and Gradient Boosting
- Hyperparameter tuning and cross-validation strategies
Unsupervised Learning Approaches
- Clustering algorithms: K-Means, DBSCAN, and hierarchical clustering
- Dimensionality reduction methods: PCA and t-SNE
- Practical applications of unsupervised learning
Neural Networks and Deep Learning
- Getting started with TensorFlow and Keras
- Constructing and training feedforward neural networks
- Techniques for enhancing neural network performance
Foundations of Reinforcement Learning
- Key concepts: agents, environments, and reward systems
- Implementing basic reinforcement learning algorithms
- Real-world use cases for reinforcement learning
Deploying AI Models
- Persisting 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 command of Python programming fundamentals
- Proficiency with data analysis tools such as NumPy and pandas
- Familiarity with core machine learning concepts and algorithms
Intended Audience
- Software engineers looking to broaden their expertise in AI development
- Data analysts aiming to leverage AI techniques for complex data challenges
- R&D specialists focused on 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
