
Aprende a utilizar Azure AI Services para OCR de imágenes y documentos con Computer Vision y Document Intelligence.

Desarrolla un chatbot multimodal con Vertex AI, Gemini Pro y Streamlit, y despliégalo en Google App Engine para aplicaciones de aprendizaje automático.

Deploy machine learning applications on Google Cloud using App Engine. Learn to leverage cloud infrastructure for scalable ML solutions.

Explore time series forecasting using SkTime and Prophet libraries in MLflow, enhancing your MLOps skills with practical implementation.

Explore Azure AI and OpenAI Studio, learn Python SDK usage, and discover practical examples for machine learning and data science applications.

Simplify scientific Python package installation in HPC environments with a new tool that reduces errors and enables sharing among users.

Explore the greedy k-means++ algorithm's performance, analyzing its approximation guarantees and comparing it to the original k-means++ method for solving the k-means problem.

Explore Python's internals, performance optimization, and essential scientific libraries. Learn to write efficient code and choose the right tools for scientific computing tasks.

Explore Perun, an open-source tool for managing project performance. Learn to detect issues, analyze changes, and generate inputs to uncover potential vulnerabilities.

Explore Python-specific security challenges and solutions, including package management, SAST, and best practices for DevOps environments.

Explore powerful Exploratory Data Analysis techniques for cleaning, visualizing, and understanding datasets to drive insights and inform decision-making in business contexts.

Explore the journey of modularizing Anaconda, the Linux system installer, and learn about the challenges faced in implementing a D-Bus backend for a new web UI.

Explore metaprogramming techniques to automate Python class initialization, reducing manual intervention and enhancing code flexibility for diverse data handling scenarios.

Explore AOT, JIT, and noGIL technologies to boost Python performance. Learn about Numba, mypyc, and GIL-free Python variants for faster application execution.

Explore advanced techniques for accelerating big data analytics using C++ and custom hardware, combining metaprogramming and novel processor architectures for optimized query execution.

Explore the intricacies of formatting ranges and tuples in C++, delving into std::format API, technical challenges, and future developments for C++23 and beyond.

Migrate workloads to Arm-based cloud instances for better performance, lower costs, and sustainability. Learn through hands-on examples and demonstrations on various cloud platforms.

Explore jhack CLI devtool for Juju charms, learning its popular commands and advanced debugging techniques for operator framework charms.

Explore integrating Juju with Terraform for enhanced infrastructure provisioning and application lifecycle management. Learn about use cases and roadmaps for Juju tools and libraries.

Optimize GitHub CI with caching, parallel testing, and shared workflows for faster, more efficient charm development and integration testing.

Explore multi-agent workflows using AutoGen framework for RAG-based question answering with Wikipedia integration. Learn to implement and leverage this powerful approach for dynamic information retrieval.