الأقسام الفرعية
Course classifications
Digital Transformation and Governance
- Education and Training
Measurement and evaluation
Quality and Institutional Excellence
Integrated Services Management
Food Safety and Quality Management
Accounting and Finance
- Investment
- Foreign trade and feasibility study
- Auditing and review
- Zakat and income tax
- Management Accounting and Cost Accounting
- Government accounting and privatization
- Financial accounting
- Accounting in the petroleum sector
- Budgeting, Planning and Financial Analysis
- Finance and banking
- Laws, Governance and Anti-Money Laundering
Supply Chain Management
Leadership and Strategy
Public Relations and Marketing
Human Resources and Development
Engineering and Maintenance
تصنيفات المنتج
- Accounting and Finance
- Supply Chain Management
- Leadership and Strategy
- Public Relations and Marketing
- Human Resources and Development
- Engineering and Maintenance
- Digital Transformation and Governance
- Training on specialized tools and platforms
- Cloud computing
- Artificial Intelligence and Machine Learning
- Networks
- Information security
- Digitization, governance and innovation
- Software engineering and design
- Communications systems
- Data management and analysis
- Information technology management
- Programming and software development
- Quality and Institutional Excellence
- Education and Training
- Integrated Services Management
- Food Safety and Quality Management
AI-102: Designing and Implementing an AI Solution for Microsoft Azure is an advanced training program that aims to enable participants to design and implement AI solutions on the Microsoft Azure platform. The course covers fundamental and advanced concepts of AI applications, including machine learning, natural language processing, computer vision, and predictive analytics using dedicated Azure tools and services. Emphasis will be placed on designing and developing AI solutions using Azure Cognitive Services, Azure Machine Learning, and Azure Bot Services, as well as preparing, training, and deploying models in production environments. The course also covers managing training data, implementing security strategies, and ensuring high-performance AI solutions across Azure platforms. Participants will learn how to build intelligent interfaces and apply deep learning and graph analytics techniques to maximize AI in business. The course includes practical case studies, applied projects, and tools for evaluating solution effectiveness. It also aims to develop skills for implementing intelligent solutions in enterprises using advanced Azure tools. The course is aimed at developers, data engineers, and AI professionals seeking to design and implement innovative AI solutions on the Azure platform.