The Digital Transformation Diploma aims to equip trainees with the knowledge and skills required to understand and apply digital transformation concepts and contribute effectively to planning and implementing digital transformation initiatives. The program focuses on digital strategies, artificial intelligence, data analytics, cybersecurity, and emerging technologies.
Registration is closed.
Study starts
Study ends
Credit hours to graduate
60
Digital Transformation is a fundamental approach to enabling organizations technologically, strengthening their infrastructure, and leveraging smart technologies and applications to serve society and enhance institutional performance.
The Digital Transformation Diploma aims to equip trainees with the knowledge and skills required to understand and apply digital transformation concepts, enabling them to effectively contribute to planning, implementing, and leading digital transformation initiatives.
The diploma focuses on digital strategies, change management and digital innovation, emerging and modern technologies, data analytics, artificial intelligence and its ethics, data governance, the Internet of Things (IoT), and cybersecurity. These areas enhance organizations’ ability to keep pace with technological developments and improve their services and operations in the digital environment.
Understand the concepts and dimensions of digital transformation and the key standards associated with its implementation in organizations.
Develop and implement digital transformation strategies and plans aligned with organizational goals and needs.
Identify modern and emerging technologies and leverage them to support digital transformation processes and enhance services.
Develop data analytics skills and apply artificial intelligence and the Internet of Things (IoT) in digital applications and projects, while considering ethical aspects and governance.
Strengthen knowledge of cybersecurity fundamentals and the protection of systems and data, while understanding national policies and initiatives related to digital transformation.
Acquire digital change management and innovation leadership skills to support the sustainability of transformation initiatives within organizations.
Upon completion of the course, learners will be able to:
Understand the digital transformation strategies adopted by organizations.
Demonstrate a clear understanding of the dimensions and scope of digital transformation.
Enhance and apply digital transformation standards across various fields.
Implement digital transformation plans based on defined strategies.
Examine global best practices and successful digital transformation experiences.
Classify and organize accurate data to support digital transformation processes.
Computer Skills
Fundamentals of Digital Transformation
Digital Change Management
AI Ethics and Data Governance
Cybersecurity
Digital Transformation Strategy
Data Analytics and the Internet of Things (IoT)
Data-Driven Decision Making
Digital Innovation Leadership
This course provides an intensive foundation in English for beginners in the workplace. It covers essential grammar, including verb tenses, question and negative forms, as well as key vocabulary related to the workplace and office environment. The course also develops basic reading, writing, listening, and speaking skills, preparing trainees for further language development at Level Two.
This course builds on the skills acquired in Level 1 to further develop trainees’ English language proficiency. It covers advanced tenses, including the Present Perfect and Present Perfect Continuous, modal verbs, the passive voice, conditional sentences, reported speech, and relative clauses. It also develops advanced vocabulary, reading, and writing skills.
This course provides advanced training in Microsoft Office applications in accordance with the international MOS standard. It covers creating and formatting documents in Word, Excel fundamentals, formulas, functions, and data analysis, as well as creating professional presentations in PowerPoint and managing email, calendars, and contacts in Outlook.
This course explores the concept of digital transformation, its dimensions and ecosystem, as well as the standards and requirements for strategic planning and readiness. It introduces the Fourth Industrial Revolution and digital leadership, while examining the role of digital transformation in achieving the objectives of Saudi Vision 2030, digital government policies, and the key characteristics of a digital society. The course also covers digital transformation technologies and digital education, in addition to the roles and responsibilities of digital transformation officers in supporting and implementing transformation initiatives within organizations.
This course aims to provide trainees with foundational knowledge of cyberspace and cybersecurity concepts, with a focus on global models and standards for information protection. It covers key concepts such as the CIA Triad (Confidentiality, Integrity, and Availability), access control, database and data center security, as well as threats such as malware and mechanisms for protecting against them. The course also addresses intrusion detection and prevention systems, software security, and concludes with review sessions and practical applications.
This course equips trainees with the skills to lead digital change processes within their organizations in a systematic and sustainable manner. It covers globally recognized change management frameworks, such as the Kotter and ADKAR models. Trainees will learn how to diagnose resistance to change, understand its underlying causes, and address it effectively, while developing a comprehensive communication and readiness plan to support the digital transformation journey from its initial stages through institutional adoption and sustainability.
This course addresses the critical gap between the capabilities of artificial intelligence and the controls required for its responsible use. It equips trainees to make digital decisions based on clear ethical values and well-established governance frameworks. The course explores the ethical challenges arising from the use of artificial intelligence in organizational decision-making and trains trainees to develop data governance policies and ensure compliance with local and international regulations.
This course develops trainees’ skills in data analysis using Microsoft Excel and introduces the fundamentals of machine learning, along with IoT technologies, platforms, and their applications in digital transformation. The course combines the analytical aspects of data with the technical aspects of the Internet of Things (IoT). Through a practical project, trainees will learn how to integrate both concepts within a comprehensive digital transformation context.
This course enables trainees to develop a comprehensive digital transformation strategy at the organizational level, starting with assessing the current digital landscape, followed by defining the digital vision and identifying transformation priorities, and culminating in developing a measurable and actionable implementation roadmap. The course connects overall organizational strategy with digital transformation requirements and trains participants to align technology with business objectives and leadership priorities.
This course equips administrative professionals with the skills to leverage data as a strategic tool for supporting organizational decision-making. It covers the fundamentals of data management, analysis, and interpretation in a way that is accessible to non-technical managers. Trainees will learn how to read and interpret data dashboards and derive actionable insights, ultimately fostering a culture of evidence-based decision-making rather than relying on intuition and assumptions.
This course equips trainees with the skills needed to lead a culture of digital innovation and establish an innovation ecosystem within organizations. It covers structured innovation methodologies such as Design Thinking, Lean Startup, and Agile. Trainees are also introduced to developing new digital business models, managing innovation labs, and leading multidisciplinary innovation teams toward scalable and practical digital solutions.
High school graduates
Community college graduates
University graduates
30 credit hours
30 credit hours
Paid once when you register, and never refunded. It is not part of the diploma price.
Registration fee
The whole diploma
Price 5,600.00
Registration is closed.
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The whole diploma
5,600.00