Python Training for AI
Python is the essential language for artificial intelligence. Our Python AI trainings teach you to master the key libraries: Pandas, Scikit-learn, TensorFlow, and PyTorch to create high-performance machine learning models.
Why Python for AI?
Python dominates the world of AI and machine learning thanks to its rich ecosystem of specialized libraries, syntactic simplicity, and massive community. Over 80% of corporate AI projects use Python as the primary language.
Python AI Training Program
Our program is designed to take you progressively from beginner Python to machine learning practitioner.
- Python Fundamentals (if needed): syntax, data structures, OOP
- NumPy: numerical computation and matrices
- Pandas: data manipulation and analysis
- Matplotlib and Seaborn: data visualization
- Scikit-learn: classical ML (regression, classification, clustering)
- TensorFlow/Keras: deep learning and neural networks
- PyTorch: advanced AI research and prototyping
- Deployment: production deployment of ML models
Real-world threaded projects
Each training includes a threaded project on real data: churn prediction, image classification, sentiment analysis, recommendation system. You leave with a portfolio of deployable AI projects.
Do I need to know Python already for this training?
We offer a 2-day Python catch-up module for beginners. If you already have Python basics, you can directly join the AI/ML modules.
TensorFlow or PyTorch: which one to learn?
TensorFlow is more used in industrial production, PyTorch in research and prototyping. Our training covers both so you can choose based on your context.
What equipment is needed for the training?
A laptop with at least 8 GB RAM. We provide cloud environments (Google Colab, notebooks) for exercises requiring more power.
Is the training eligible for OPCO funding?
Yes, all our Python AI trainings are eligible for OPCO (French employer training fund) funding. Learni is Qualiopi certified (French training quality standard).
What level do you reach after the training?
After our complete program (10 days), you are able to collect data, train ML models, evaluate their performance, and deploy them in production.
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