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
- Foundational concepts and the scope of AI
- Essential Python libraries for AI development
- Structuring AI projects and defining workflows
Preparing Data for AI
- Techniques for data cleaning, transformation, and feature engineering
- Strategies for handling missing and unbalanced data
- Methods for feature scaling and encoding
Supervised Learning Approaches
- Regression and classification algorithms
- Ensemble techniques: 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 use cases for unsupervised learning
Neural Networks and Deep Learning
- Getting started with TensorFlow and Keras
- Constructing and training feedforward neural networks
- Enhancing neural network performance
Introduction to Reinforcement Learning
- Key concepts: agents, environments, and reward systems
- Building basic reinforcement learning algorithms
- Real-world applications of reinforcement learning
Deploying AI Models
- Saving and retrieving trained models
- Connecting models to applications via APIs
- Monitoring and maintaining AI systems in production environments
Wrap-Up and Future Directions
Requirements
- A strong grasp of Python programming fundamentals
- Proficiency with data analysis libraries such as NumPy and pandas
- A foundational understanding of machine learning concepts and algorithms
Target Audience
- Software developers seeking to broaden their AI development capabilities
- Data analysts looking to apply AI techniques to complex datasets
- R&D professionals developing 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
