Python plays a crucial role in data engineering, data science and AI development due to its versatility, extensive libraries such as Pandas and PySpark, and its ability to handle large-scale data processing, making it an indispensable tool for extracting insights and building data pipelines.
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Python Development
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AI Development
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Data Science
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UPD
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Python for Data and AI Engineers new | 1850€ | 4 | 18 | 13 | 24 | |||
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UAMAI
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Developing AI-Powered Apps with Python and Azure AI | 1850€ | 4 | 26 | 10 | 28 | |||
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UTORCH
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Building Neural Networks with PyTorch new | 2200€ | 5 | 4 | 10 | ||||
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UADS
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Building your own Models with Azure Machine Learning | 1450€ | 3 | 27 | 13 | 28 | |||
Gain a solid understanding of Python in our course Python for Data and AI Engineers. Acquire the necessary skills and knowledge to utilize Python effectively, from basic syntax to implementing real-world solutions. Get hands-on experience with Pandas, PySpark, Delta Lake... in this 4-day training.
Tailored specifically for the Python ecosystem, our course Developing AI-Powered Apps with Python and Azure AI offers a deep dive into the world of AI Engineering for developers. You will architect, develop, evaluate, and deploy generative AI solutions and custom copilots. We focus on practical implementation using frameworks like Microsoft Agent Framework and the Microsoft Foundry SDK.
By the end of this training, you will be able to infuse your applications with cutting-edge intelligence.
Neural networks power many of today’s most advanced AI systems. But using AI effectively requires more than calling pre-trained APIs, you need to understand how models are designed, trained, and optimized.
With PyTorch you can build and train neural networks from scratch.
Want to build and train neural networks yourself? Join our 5-day course Building Neural Networks with PyTorch and learn how to design, train and optimize deep learning models.
While Large Language Models generate headlines, the backbone of enterprise AI often relies on specialized predictive modeling. From Neural Networks to Decision Trees and Support Vector Machines, these architectures remain the gold standard for high-precision tasks like financial forecasting, fraud detection, and customer churn analysis.
Master the art of training these custom models on corporate data using Python and Azure Machine Learning in our course Building your own Models with Azure Machine Learning.