The Business Analysis course is a training program that aims to develop participants' skills in analyzing business needs, identifying opportunities, and providing data-driven solutions to improve operations and make strategic decisions. The course covers business analysis concepts, collecting and analyzing data, and interpreting results to support business decisions. Emphasis will be placed on preparing analytical reports, identifying technical and business requirements, and applying process improvement techniques. The course also covers quantitative and qualitative analysis methods, building business models, and risk analysis to guide growth and development strategies. Participants will learn how to keep pace with market changes, prioritize projects, and effectively extract value from data. The course includes applied projects and case studies to enhance practical understanding. It also aims to develop skills in interacting with multidisciplinary teams and communicating effectively with stakeholders. The course is targeted at analysts, business managers, and decision makers seeking to achieve sustainable performance improvements and achieve business objectives through rigorous analysis.

The Advanced Data Analysis course is a training program that aims to develop participants' skills in data analysis and extracting valuable insights to support decision-making. The course covers advanced techniques in data processing, mining, and analysis using statistical and quantitative methods. Emphasis will be placed on trend analysis, forecasting, and advanced data visualizations. The course also covers data cleaning and quality improvement techniques to ensure accurate results. Participants will be able to interpret data professionally and transform it into clear reports that support strategic decisions. The course includes practical applications and case studies to enhance in-depth understanding. It also aims to develop data storytelling skills and effectively present results. The course is aimed at analysts, professionals, and data managers seeking to enhance their advanced analysis skills. Ultimately, participants will gain the ability to extract insights from data and make sound scientific decisions.

The AI ​​Governance/AI Controls course is a training program that aims to introduce participants to governance frameworks and policies related to AI applications to ensure their safe and ethical use. The course covers the fundamental concepts of AI governance, security controls, and risk management associated with AI technologies. Emphasis will be placed on AI ethics, transparency in AI-enabled decision-making, and measures to protect against algorithmic bias. The course also covers strategies for assigning liability, developing policies to address legal and privacy risks, and implementing regulatory controls to maintain compliance with applicable laws. Participants will learn how to develop an effective governance framework to ensure transparency and accountability in AI-enabled systems. The course includes case studies from various industries to enhance practical understanding. It also aims to develop skills in applying governance controls to ensure AI technologies are implemented in ways that contribute to achieving benefits while maintaining safety and fairness. The course is intended for managers, consultants, IT professionals, and AI researchers seeking to implement effective AI governance practices.

The Governance of Government Organizations and Entities Using ERP Technology course is a training program that aims to develop participants' skills in implementing effective governance systems for government organizations and entities using ERP technology. The course addresses the concepts of governance of public institutions, the role of ERP in improving administrative efficiency, and ensuring transparency and accountability in government operations. Emphasis will be placed on how to use ERP systems to unify administrative and financial processes, enhance internal control, and achieve compliance with regulatory standards. The course also covers strategies for improving human resources, risk management, and data analysis techniques to support effective corporate decision-making. Participants will learn how to implement ERP systems in government organizations and implement effective control and oversight processes using technology. The course includes practical case studies and applied projects to enhance practical understanding. It also aims to develop leadership skills in using ERP systems to ensure improved government performance, transparency, and the achievement of strategic objectives. The course is aimed at government officials, systems administrators, and IT managers seeking to achieve effective governance using ERP solutions in government organizations.

The Certified Information Security Professional (CISSP) course is a globally recognized training program that aims to provide participants with the knowledge and skills necessary to obtain the CISSP certification in information security. The course covers fundamental and advanced information security concepts, including developing security policies, assessing risks, and implementing enterprise-level security best practices. Emphasis will be placed on identity and access management, data protection, network security, and security incident management. The course also covers the application of security technologies in the digital environment, such as encryption, firewalls, and intrusion detection systems, as well as security management in cloud-based environments. Participants will learn how to conduct threat assessments, analyze risks, and develop effective response strategies to security crises. The course also covers compliance with international standards such as ISO 27001, NIST, and GDPR. The course includes practical case studies and real-world examples to develop skills in combating security threats and protecting data and information at the enterprise level. The course aims to qualify participants to deliver effective and advanced security solutions and protect digital assets and sensitive data. The course is aimed at information security professionals, systems administrators, and cybersecurity engineers seeking to obtain the CISSP certification and enhance their skills in managing and implementing information security solutions.

The Cybersecurity Professional Course is an advanced training program that aims to provide participants with the knowledge and skills necessary to excel in the field of cybersecurity. The course covers the fundamentals and techniques of cybersecurity protection, including security analysis, advanced threats, and vulnerability detection tools. Emphasis will be placed on malware protection techniques, defense systems, secure networks, and risk assessment using the latest tools and techniques in the field of cybersecurity. The course also covers enterprise security procedures, such as access management, encryption, and penetration testing, as well as best practices for threat mitigation. Participants will learn how to handle complex attacks, conduct incident analysis, and emergency response strategies. The course includes practical case studies, enhancing a practical understanding of advanced security concepts. The course aims to develop professionals' skills in designing and implementing cybersecurity strategies to protect information and systems from evolving threats. The course is targeted at cybersecurity engineers, security consultants, and IT managers seeking to enhance their skills in protecting digital networks and systems.

The ISO 20000 Technical Support Management Systems course is a training program that aims to develop participants' skills in managing IT services according to the international standard ISO 20000. The course covers the basic concepts of IT service management, the technical support delivery process, and best practices for quality assurance. Emphasis will be placed on applying the ISO 20000 framework to the design and implementation of technical support services, with an emphasis on achieving efficiency and effectiveness in the provision of support and maintenance of IT systems. The course also covers request management, incident response, process improvement, and performance measurement to ensure high-quality and effective service delivery. Participants will learn how to develop technical support policies and procedures, implement continuous improvement strategies, and ensure compliance with ISO 20000 standards. The course includes practical case studies, applied exercises, and performance evaluation tools to enhance practical understanding. It also aims to develop skills in quality measurement and performance analysis to ensure efficient technical support delivery. The course is aimed at IT managers, technical support teams, and IT consultants seeking to achieve sustainable improvement in technical support services using ISO 20000 standards.

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.