#other #application_architecture #architect #architecture #architecture_guidelines #enterprise_architecture #howto #roadmap #self_learning #skills #software #software_engineering

https://github.com/justinamiller/SoftwareArchitect

#other #exploitation #frameworks #hacking #hacking_tool #hacktools #information_gathering #penetration_testing #pentest #post_exploitation #roadmap #vulnerabilities #web_hacking

https://github.com/sundowndev/hacker-roadmap

#javascript #ai_roadmap #artificial_intelligence #data_analysis #data_science #deep_learning #machine_learning #neural_network #roadmap #study_plan

https://github.com/AMAI-GmbH/AI-Expert-Roadmap

#other #github #github_enterprise #roadmap

https://github.com/github/roadmap

#other #aspnet_core #aspnetcore #dotnet #dotnet_core #kubernetes #microservices #roadmap

https://github.com/Elfocrash/.NET-Backend-Developer-Roadmap

#kotlin #android #android_development #jetpack #jetpack_compose #roadmap

https://github.com/skydoves/android-developer-roadmap

#other #aws #azure #computer_science #continous_delivery #continuous_integration #developer_roadmap #devops #devops_roadmap #docker #go #grafana #jira #kubernetes #linux #prometheus #python #roadmap #sre #study_plan

https://github.com/milanm/DevOps-Roadmap

#go #awesome_list #collections #devops #devsecops #roadmap #security #tools

https://github.com/hahwul/DevSecOps

#other #amazon #amazon_web_services #aws #azure #cloud #cloud_computing #cloudcomputing #cloudservices #gcp #google #google_cloud_platform #microsoft #microsoft_azure #microsoft_azure_cloud #roadmap #serverless

https://github.com/milanm/Cloud-Product-Mapping

#typescript #angular_roadmap #backend_roadmap #blockchain_roadmap #computer_science #dba_roadmap #developer_roadmap #devops_roadmap #frontend_roadmap #go_roadmap #hacktoberfest #java_roadmap #javascript_roadmap #nodejs_roadmap #python_roadmap #qa_roadmap #react_roadmap #roadmap #software_architect_roadmap #vue_roadmap

Roadmap.sh is a helpful resource for developers. It offers interactive roadmaps, articles, and resources to guide you in various areas like frontend, backend, DevOps, and more. You can click on the roadmap nodes to learn more about each topic. It also includes best practices and questions to test your knowledge. This tool helps you choose a learning path and improve your skills efficiently. Sharing it with others can also benefit the community.

https://github.com/kamranahmedse/developer-roadmap

#jupyter_notebook #course #large_language_models #llm #machine_learning #roadmap

This course is designed to help you master Large Language Models (LLMs) in three main parts This section covers the basics of mathematics, Python, and neural networks necessary for understanding LLMs.
2. **The LLM Scientist** This part focuses on building applications with LLMs, such as running models locally or via APIs, creating vector storage for retrieval augmented generation (RAG), optimizing inference, deploying models, and securing them against vulnerabilities.

The benefit to you is that you will gain a comprehensive understanding of LLMs, from the foundational knowledge to advanced techniques for building and deploying powerful language models. This will enable you to create efficient, accurate, and secure LLM-based applications.

https://github.com/mlabonne/llm-course