Robots and artificial intelligence

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.

The Large Language Models course is a training program that aims to enable participants to understand and apply large language models (LLMs) such as GPT, BERT, and other advanced models in natural language processing. The course covers the basic concepts of large language models, how to train them, and how to apply them to a variety of tasks such as translation, summarization, question answering, and sentiment analysis. Emphasis will be placed on the concept of deep learning and techniques such as generative neural networks and transformers used in training large language models. The course also covers how to improve model performance through supervised and unsupervised learning, and the use of techniques such as fine-tuning to tailor models to specific needs. Participants will learn how to use tools such as Hugging Face and TensorFlow to develop large language models and improve their performance. The course includes applied projects and practical case studies aimed at developing skills for using large language models in various industries such as healthcare, education, finance, and business. The course aims to provide a deep understanding of how large language models work and their practical applications in improving automation, delivering intelligent insights, and enhancing customer engagement. The course is aimed at developers, AI researchers, and natural language processing professionals seeking to acquire advanced skills in working with large language models.

The Accounting Information Systems course aims to introduce participants to the design and implementation of accounting information systems that support and facilitate the management of financial operations in organizations. The course focuses on the technologies and software systems used to collect, store, and process accounting information effectively to ensure accuracy, transparency, and compliance with accounting laws.

Participants will learn how to design and select accounting information systems to suit their organization's needs, as well as how to apply these systems to record financial transactions, prepare financial reports, and analyze accounting data. Different types of accounting information systems, such as ERP systems and cloud accounting systems, will be reviewed, as will best practices for managing accounting databases.

The course will also address the importance of accounting information security and how to protect financial data from tampering or loss using modern technologies such as encryption and two-factor authentication. It will also highlight how accounting information systems integrate with other systems within an organization, such as human resource management systems and purchasing systems, to provide a comprehensive view of management.

The course aims to enable participants to apply modern accounting information systems to enhance the accuracy of accounting operations, ensure compliance with laws and regulations, and enable easy and effective analysis of financial data. The course targets accountants, accounting systems managers, and IT managers in organizations seeking to improve the efficiency of accounting operations using information technology 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.