Cursos de dados, IA e nuvem

Saiba como trabalhar com dados em tempo real usando tecnologias sem servidor na AWS.

Manage the complexity in your code using object-oriented programming with the S3 and R6 systems.

Learn how to approach and win competitions on Kaggle.

Learn how to make GenAI models truly reflect human values while gaining hands-on experience with advanced LLMs.

Learn how to build advanced and effective machine learning models in Python using ensemble techniques such as bagging, boosting, and stacking.

Learn how to manipulate data and create machine learning feature sets in Spark using SQL in Python.

Sharpen your knowledge and prepare for your next interview by practicing Python machine learning interview questions.

This course covers everything you need to know to build a basic machine learning monitoring system in Python

Aprenda a fazer análise de imagens usando Keras com Python, construindo, treinando e avaliando redes neurais convolucionais.

Learn the gritty details that data scientists are spending 70-80% of their time on; data wrangling and feature engineering.

In this course you will learn to fit hierarchical models with random effects.

Build AI agentic workflows that can plan, search, remember, and collaborate, using LlamaIndex.

Learn to build pipelines that stand the test of time.

Learn how to write recursive queries and query hierarchical data structures.

In this course youll learn how to perform inference using linear models.

Build real-world applications with Python—practice using OOP and software engineering principles to write clean and maintainable code.

Learn how to load, transform, and transcribe speech from raw audio files in Python.

Extend your regression toolbox with the logistic and Poisson models and learn to train, understand, and validate them, as well as to make predictions.

Get hands-on experience making sound conclusions based on data in this four-hour course on statistical inference in Python.

Develop a better intuition for advanced probability, risk assessment, and simulation techniques to make data-driven business decisions with confidence.

Saiba como reduzir o tempo de treinamento de grandes modelos de linguagem com o Accelerator e o Trainer para treinamento distribuído

In this course youll learn how to leverage statistical techniques for working with categorical data.

Learn to analyze Airbnb data using SQL in Databricks, create dashboards, and derive actionable insights.

Learn key techniques to optimize Java performance, from algorithm efficiency to JVM tuning and multithreading.

In this course youll learn techniques for performing statistical inference on numerical data.

Learn how to use RNNs to classify text sentiment, generate sentences, and translate text between languages.

Learn how to write effective tests in Java using JUnit and Mockito to build robust, reliable applications with confidence.

Prepare for your next statistics interview by reviewing concepts like conditional probabilities, A/B testing, the bias-variance tradeoff, and more.

Learn tools and techniques to leverage your own big data to facilitate positive experiences for your users.

Learn how to design, automate, and monitor scalable forecasting pipelines in Python.