Course Brief

Upon completion of the Professional Diploma in Digital Transformation, learners will be equipped with the skills and knowledge necessary to excel in various job roles within the rapidly evolving digital landscape. Job prospects include positions such as data analysts, AI specialists, RPA developers, digital transformation leaders, and project managers. With the demand for digital expertise continuing to grow across industries, graduates of this course will have abundant opportunities to apply their skills in both traditional and emerging sectors, driving innovation and efficiency through digital transformation initiatives. 
The course begins with a focus on foundational concepts in data analytics, providing learners with the skills needed to gather, analyze, and interpret data to drive informed decision-making. This is followed by an exploration of generative AI, where students will learn how to develop AI models capable of generating creative outputs across various domains. Next, the curriculum delves into robotic process automation (RPA), equipping learners with the ability to automate repetitive tasks and streamline business processes. The first capstone project combines data analytics and AI, allowing students to apply their knowledge to real-world scenarios and develop innovative solutions to complex problems. Subsequently, the course shifts to digital fluency skills, covering topics such as digital literacy, communication, and collaboration in the digital age.  
Learners then explore digital transformation leadership, gaining insights into the strategies and best practices for leading successful digital transformation initiatives within organizations. The curriculum also includes training in agile project management, focusing on the principles and methodologies needed to effectively manage digital transformation projects from inception to completion. Finally, the second capstone project centers on digital transformation, providing students with the opportunity to demonstrate their mastery of digital transformation concepts and techniques through the development and implementation of a comprehensive transformation plan. Throughout the course, emphasis is placed on practical application, critical thinking, and collaboration, ensuring that graduates are well-prepared to drive digital innovation and transformation in today"s dynamic business environment.

Course Knowledge, Skills & Ability Summary

At the end of the course, you will be able to acquire the following:

Knowledge

  • Analyze data to derive actionable insights for informed decision-making.
  • Develop AI models capable of generating creative outputs across various domains.
  • Implement robotic process automation (RPA) to automate repetitive tasks and streamline business processes.
  • Apply digital transformation strategies and best practices in organizational leadership.
  • Utilize agile project management methodologies to effectively manage digital transformation projects. 

Skills

  • Demonstrate proficiency in data analytics and AI model development.
  • Implement RPA solutions to optimize operational efficiency.
  • Lead digital transformation initiatives with effective communication and collaboration.
  • Manage agile projects through iterative planning and execution.
  • Innovate and adapt to evolving digital landscapes to drive organizational growth. 

Ability

Drive digital innovation and transformation through effective leadership, strategic planning, and practical application of digital technologies. 

Blended Learning Journey

(464.25 Hours)

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E-Learning

76 Hours

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Flipped Class

81 Hours

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Mentoring Support (Sync) (Assignment)

93 Hours

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Mentoring Support (Sync) (Project)

120 Hours

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Mentoring Support (Async)

90 Hours

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Summative Assessment

4.25 Hours

Module Summary

WSQ Business Analytics (SF)

Module Brief

The "Business Analytics" course is designed to empower learners with the essential knowledge and skills required to thrive in the dynamic field of data analysis. Through a structured series of learning units, participants will establish a robust foundation in various facets of data analytics. The module  commences with an exploration of fundamental concepts in data analytics and Power BI, enabling participants to adeptly prepare and transform data, create insightful visualizations and reports, develop data models, and proficiently format and present information using interactive dashboards. An additional emphasis is placed on immersing participants in the realm of business simulation through MonsoonSIM, refining their decision-making process and collaborative problem-solving abilities. 
 
Expanding on the expertise garnered from the learning units, participants will engage in hands-on, real-world scenarios through a comprehensive project. This project offers a unique opportunity to implement a data analytics solution employing Power BI and MonsoonSIM, seamlessly integrating data analysis and simulation techniques. By leveraging these tools, participants will gain practical experience in analysing and interpreting data, making informed decisions based on data insights, and simulating diverse business scenarios. This practical application will foster the development of the participants" capacity to extract meaningful insights, collaborate effectively, and actively contribute to the success of businesses. 
 
Upon successful completion of the "Business Analytics" course, participants will emerge with a profound understanding of data analytics principles and techniques. They will possess proficiency in utilizing Power BI and MonsoonSIM, equipped with the necessary skills to prepare and transform data, craft impactful visualizations and reports, develop data models, and design interactive dashboards. Furthermore, participants will be empowered to apply their acquired knowledge in practical settings, utilizing data analysis and simulation to drive informed decision-making and address intricate business challenges. 

Other Information
  • SSG Module Reference No: TGS-2023019811
  • Module Validity Date: 2025-01-31

WSQ Generative AI (SF)

Module Brief

In the "Generative AI" module, learners will learn about different AI models and how they"re used in real life. We"ll start with the basics of these AI models, understanding how they work. We"ll also explore practical tools like ChatGPT, Copilot, and Power Virtual Agents from Microsoft. By using these tools, learner will discover how Generative AI can be applied in various ways, like research and creating content. 
In this module, learners will explore the practical applications of ChatGPT and Microsoft 365 Copilot. They"ll uncover how ChatGPT is used in real life, such as in research, creating content, boosting business productivity, and assisting with customer support. Through hands-on experiences, participants will learn how to use AI tools like ChatGPT and Microsoft Copilot to craft engaging and interactive content. Furthermore, the module will equip learners with the skills to create functional ChatBots using Microsoft Power Virtual Agents and Copilot, facilitating smooth interactions with users. 
 
By the end of this module, participants will have a solid grasp of AI models, as well as practical expertise in effectively utilizing ChatGPT, Copilot, and Microsoft Power VA for tasks like content creation, multimedia presentations, improving business productivity, and enhancing customer support.  

Other Information
  • SSG Module Reference No: TGS-2023020397
  • Module Validity Date: 2025-01-31

WSQ Robotic Process Automation (SF)

Module Brief

Embark on a transformative journey into the realm of app development with our "Robotic Process Automation " module. This comprehensive program equips learners with the skills needed to thrive in the dynamic landscape of low-code development, turning them into tech practitioners in their specific job functions. Graduates can seamlessly transition into roles such as Low-Code Developer, Power Platform Developer, or even carve a niche as an HR Tech Practitioner, where they will be sought after for their ability to streamline HR processes, automate workflows, and create robust applications with efficiency. The module not only hones technical prowess but also nurtures a deep understanding of the business value inherent in low-code solutions, making our graduates indispensable assets in the ever-evolving tech industry. 
 
Delving into the heart of the module, learners first grasp the fundamental "Business value of Power Platform," gaining insights into the strategic advantages and transformative potential of low-code solutions. This foundational knowledge sets the stage for the subsequent exploration of "Power Automate Core Components," where students unravel the intricacies of this powerful tool for automating workflows. The focus then shifts to "Dynamic Decision-Making in Power Automate Workflows," providing learners with the skills to create responsive and adaptive workflows that dynamically respond to changing conditions, enhancing the overall efficacy of their applications. 
 
Moving forward, the module navigates through "Unlocking Power Automate Potential with Excel and Document Generation," imparting expertise in leveraging Excel and document generation to unleash the full potential of Power Automate. This module empowers learners to harness the capabilities of these ubiquitous tools, expanding the scope and functionality of their applications. "Data Modelling and Model-Driven App" is the next frontier, where participants delve into the intricacies of data modeling and learn to craft model-driven applications. This unit not only solidifies their grasp on the theoretical underpinnings but also instils practical skills for building apps that are not only user-friendly but also tailored to specific business needs. 
 
As the module progresses, learners venture into the realm of "Canvas App," where they master the art of creating visually engaging and interactive applications. This unit provides hands-on experience in designing apps with a focus on user interfaces and user experiences, ensuring graduates can deliver solutions that are not just functional but also aesthetically pleasing. Each instructional unit serves as a steppingstone, building a robust skill set that enhances their current skillset, opening doors to new job opportunities and allowing them to contribute meaningfully to the success of any organization in today"s fast-paced, technology-driven world. 

Other Information
  • SSG Module Reference No: TGS-2023019824
  • Module Validity Date: 2025-01-31

WSQ Capstone Project – Business Analytics (SF)

Module Brief

In the "Capstone Project-Business Analytics" module, learners will immerse themselves in a comprehensive learning experience, acquiring knowledge and skills essential for proficient data analytics and AI application. The module incorporates both asynchronous and synchronous sessions, guiding learners through the intricacies of project management, data acquisition, and the preparation and transformation of data. These sessions emphasize statistical analysis and modelling using powerful tools like Power BI for data analytics and generative AI for advanced insights. Throughout this multifaceted journey, learners gain expertise in designing and architecting projects, identifying and addressing business problems, and developing interactive dashboards and reports. 
The practical application of knowledge is a cornerstone of this module, realized through engaging projects that mirror real-world scenarios. Learners will undertake projects such as developing Canvas Apps for employee milestone feedback using PowerApps Forms, refining chatbot design flows, and implementing business process automation with the Power Platform. These projects serve as a bridge between theoretical understanding and practical implementation, allowing learners to integrate and apply their acquired skills. By delving into these projects, participants not only master individual components but also gain a holistic perspective, preparing them to navigate the complexities of actual data analytics and AI projects successfully. 
Upon completing this module, learners will emerge with a unique set of abilities, able to lead and execute end-to-end data analytics and AI projects. From meticulous project planning and data preparation to crafting insightful visualizations and implementing sophisticated automation, graduates will be well-equipped to tackle the challenges of the evolving landscape in data science and artificial intelligence. This module, with its blend of theoretical foundations and hands-on projects, ensures that learners are not just knowledgeable but also possess the practical skills necessary for making a meaningful impact in the field. 

Other Information
  • SSG Module Reference No: TGS-2023019817
  • Module Validity Date: 2025-01-31

WSQ Digital Fluency for all (SF)

Module Brief

"Digital Fluency for All" is a comprehensive module designed to equip individuals with the necessary digital capabilities essential in today"s rapidly evolving workplace. With organizations increasingly reliant on technology to streamline processes, the demand for adept professionals well-versed in digital technologies has surged. This module addresses this need by providing learners with essential skills to navigate the digital landscape effectively. 
Firstly, Robotic Process Automation (RPA) is explored to streamline tasks within organizations. Participants will assess how RPA can automate repetitive processes, increase accuracy, and save time, with practical examples highlighting its implementation across various industries. 
Next, the module delves into the realm of data analytics and its pivotal role in informing decision-making processes. Participants will illustrate how data analytics tools and techniques can be utilized to extract insights, predict trends, and drive informed decisions across different aspects of organizational operations, including HR, marketing, and finance. 
The exploration then extends to Generative AI and its potential to revolutionize workplaces by enhancing processes and fostering engagement. Participants will explore how Generative AI technologies can generate innovative solutions, optimize workflows, and personalize experiences for employees, ultimately leading to a hyper-productive work environment. 
Moving forward, the module evaluates the effectiveness and challenges associated with building a collaborative, content-driven digital workplace. Participants will examine the importance of dynamic content creation and digital communication platforms in facilitating collaboration, knowledge sharing, and employee engagement within organizations. 
Finally, the module concludes by demonstrating the impact of implementing work-integrated digital learning plans on organizational transformation. Participants will explore how digital learning initiatives can enhance employee skills, adaptability, and performance, thereby driving organizational growth and success in the digital era. 
Throughout this module, participants will gain a comprehensive understanding of how these critical digital technologies and practices can be strategically leveraged to drive innovation, improve efficiency, and foster a transformative environment within organizations. By mastering these concepts and applications, participants will be equipped with the skills and knowledge necessary to navigate the complexities of the digital landscape and drive positive change within their respective organizations. Graduates will be well-positioned to play pivotal roles in steering organizations through the transformative journey of the digital era, opening doors to enhanced career prospects and opportunities. 

Other Information
  • SSG Module Reference No: TGS-2023018911
  • Module Validity Date: 2025-01-31