
Learn effective project management techniques for data science, covering agile and waterfall methodologies, autoML, model monitoring, and data drift to ensure successful implementation of data-driven initiatives.

Master Git and GitHub essentials, from basic commands to advanced techniques. Learn to resolve conflicts, manage branches, and handle real-world scenarios for efficient collaboration and version control.

Explore cutting-edge insights and trends in open source technology through engaging keynote presentations from industry leaders at All Things Open 2022.

Deploy your GitHub portfolio to cloud hosting using Infrastructure as Code. Learn Terraform, avoid pitfalls, and follow best practices in this interactive workshop on cloud deployment.

Learn essential skills for contributing to open source projects on GitHub. Master the basics, overcome documentation challenges, navigate PR processes, and gain confidence in submitting impactful contributions.

Explore TinyEngine and parallel processing techniques for efficient machine learning on resource-constrained devices, enhancing performance and reducing energy consumption.

Explore advanced techniques for modifying Meta Llama 3 for drug discovery, including fine-tuning, RAG implementation, and agentic behavior enhancement for improved accuracy and capabilities.

Explore platforms for creating APIs from Large Language Models to enhance drug discovery workflows. Learn to increase efficiency, reduce errors, and lower costs through synchronization and automation.

Master Python coding best practices for clean, efficient, and maintainable machine learning solutions using Ivy. Learn essential principles for variables, functions, classes, and conventions.

Explore OLMo, an open-source language model initiative, and its impact on accelerating research in natural language processing and machine learning.

Explore maximally localized Wannier functions, their theoretical foundations, and latest advancements in quantum materials research.

Explore efficient project development strategies, balancing speed, quality, and practicality. Learn to manage technical debt and create minimum viable products for rapid feedback and iteration.

Build a comprehensive Reddit data pipeline using AWS services, integrating Airflow, S3, Glue, Athena, and Redshift for efficient ETL processes and analytics.

Explore gRPC for efficient API development in microservices, leveraging Quarkus and Microprofile. Learn fundamentals, best practices, monitoring, error handling, and advanced features.

Explore gRPC for efficient API development in microservices, leveraging Quarkus and Microprofile. Learn best practices, performance optimization, monitoring, error handling, and advanced features.

Explore best practices for Quarkus testing, covering mocking, integration tests, profiles, and native executable testing. Learn to enhance your cloud-native application development skills.

Learn best practices for Quarkus testing, covering mocking, integration tests, test profiles, and native executable testing. Master transaction, component, and persistence testing techniques.

Explore hands-on fraud detection techniques using a practical GitHub repository, guided by experienced software engineers.

Explore WebAssembly's potential in cloud computing, its comparison to containers, and how to start with server-side WebAssembly. Includes a demonstration of capabilities and future possibilities.

Explore Java optimization principles, pitfalls, and real-world applications. Learn about performance measurement, garbage collection, and the impact of optimization on sustainability and climate change.

Transition from Spring to Quarkus with ease. Learn familiar concepts, implement conventions, and explore testing with Quarkus Dev Services through live coding of a Spring application equivalent.