Course
Azure Data Engineering | DP-203
The Azure Data Engineering Course | DP-203 is an integrated training program that aims to develop participants' skills in designing and implementing data engineering solutions on the Microsoft Azure platform. The course covers concepts of data warehousing, big data processing, and analysis using advanced Azure services. Emphasis will be placed on designing data infrastructures, optimizing performance, and ensuring security and compliance according to best practices. The course also covers managing data flows, optimizing data queries, and applying integration strategies between different data sources. Participants will be able to create scalable data solutions, process real-time data, and develop advanced analytics environments. The course includes hands-on projects and practical case studies to enhance practical understanding. It also aims to develop skills in implementing data models, optimizing storage strategies, and managing big data efficiently. The course is targeted at data engineers, data analysts, and database professionals seeking to gain practical experience in building data engineering solutions on Azure and making the most of their data.
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The Azure Data Engineering Course | DP-203 is an integrated training program that aims to develop participants' skills in designing and implementing data engineering solutions on the Microsoft Azure platform. The course covers concepts of data warehousing, big data processing, and analysis using advanced Azure services. Emphasis will be placed on designing data infrastructures, optimizing performance, and ensuring security and compliance according to best practices. The course also covers managing data flows, optimizing data queries, and applying integration strategies between different data sources. Participants will be able to create scalable data solutions, process real-time data, and develop advanced analytics environments. The course includes hands-on projects and practical case studies to enhance practical understanding. It also aims to develop skills in implementing data models, optimizing storage strategies, and managing big data efficiently. The course is targeted at data engineers, data analysts, and database professionals seeking to gain practical experience in building data engineering solutions on Azure and making the most of their data.
دورة نماذج اللغة الكبيرة هي برنامج تدريبي يهدف إلى تمكين المشاركين من فهم وتطبيق نماذج اللغة الكبيرة (Large Language Models – LLMs) مثل GPT، BERT وغيرها من النماذج المتقدمة في معالجة اللغة الطبيعية. تتناول الدورة المفاهيم الأساسية لنماذج اللغة الكبيرة وكيفية تدريبها وتطبيقها في مجموعة متنوعة من المهام مثل الترجمة، التلخيص، الإجابة على الأسئلة، وتحليل المشاعر. سيتم التركيز على مفهوم التعلم العميق وتقنيات مثل الشبكات العصبية التوليدية و التحويلات (Transformers) المستخدمة في تدريب نماذج اللغة الكبيرة. كما تشمل الدورة كيفية تحسين أداء النماذج من خلال التعلم الموجه وغير الموجه، واستخدام تقنيات مثل Fine-tuning لتخصيص النماذج لاحتياجات معينة. سيتعلم المشاركون كيفية استخدام أدوات مثل Hugging Face وTensorFlow لتطوير نماذج لغة كبيرة وتحسين أدائها. تتضمن الدورة مشاريع تطبيقية ودراسات حالة عملية تهدف إلى تطوير مهارات استخدام نماذج اللغة الكبيرة في مختلف الصناعات مثل الرعاية الصحية، التعليم، المالية، وقطاع الأعمال. تهدف الدورة إلى توفير فهم عميق لآلية عمل نماذج اللغة الكبيرة وتطبيقاتها العملية في تحسين الأتمتة، تقديم الرؤى الذكية، وتحسين التفاعل مع العملاء. تستهدف الدورة المطورين، الباحثين في الذكاء الاصطناعي، ومحترفي معالجة اللغة الطبيعية الذين يسعون إلى اكتساب مهارات متقدمة في العمل مع نماذج اللغة الكبيرة.
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