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
- Key concepts and the scope of AI
- Python libraries essential for AI development
- Structuring AI projects and defining workflows
Preparing Data for AI
- Data cleaning, transformation, and feature engineering
- Managing missing and unbalanced data
- Applying feature scaling and encoding techniques
Supervised Learning Methods
- Regression and classification algorithms
- Ensemble methods: Random Forest and Gradient Boosting
- Hyperparameter tuning and cross-validation
Unsupervised Learning Methods
- Clustering techniques: K-Means, DBSCAN, and hierarchical clustering
- Dimensionality reduction: 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
- Optimizing neural network performance
Introduction to Reinforcement Learning
- Core concepts: agents, environments, and rewards
- Implementing fundamental reinforcement learning algorithms
- Real-world applications of reinforcement learning
Deploying AI Models
- Saving and loading trained models
- Integrating models into applications via APIs
- Monitoring and maintaining AI systems in production
Conclusion and Future Steps
Requirements
- A solid grasp of Python programming fundamentals
- Practical experience with data analysis libraries such as NumPy and pandas
- Foundational knowledge of machine learning concepts and algorithms
Target Audience
- Software developers aiming to expand their AI development skills
- Data analysts seeking to apply AI techniques to complex datasets
- R&D professionals building AI-powered 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
