Course
Negotiation, tender preparation and advanced evaluation skills
The Negotiation Skills, Tender Preparation, and Advanced Evaluation course aims to provide participants with effective skills and tools to achieve the best results in procurement and contracting processes.
The course covers modern negotiation techniques, including analyzing negotiator styles, persuasion strategies, and managing supplier relationships to ensure business objectives are achieved.
The course introduces tender preparation methodologies in accordance with international standards, with a focus on drafting technical and financial conditions and preparing tender documents in a professional manner.
Mechanisms for evaluating bids and suppliers are reviewed, using risk analysis, technical and financial criteria, and the use of modern digital tools to ensure strategic decision-making.
The course focuses on the legal aspects of tenders and commercial contracts, explaining legal obligations, potential risks, and dispute resolution mechanisms.
The department covers e-tendering and the latest digital technologies used to analyze bids, compare prices, and achieve transparency in procurement processes.
The course presents best practices in contract negotiation, including advanced strategies for reducing costs, improving contract terms, and building sustainable partnerships with suppliers.
Real-life case studies and applied exercises are provided to help participants develop their practical skills and analyze complex negotiation scenarios.
The course is intended for purchasing managers, contracting officers, financial analysts, and legal consultants who wish to enhance their skills in tender management and effective negotiation.
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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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