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

WSQ Digital Transformation (SF)

Module Brief

The "Digital Transformation Leadership" module provides learners with the necessary knowledge and skills to navigate the ever-changing landscape of digital businesses. Through a series of learning units (IUs), learners will gain expertise in areas such as innovative venture creation, business model innovation, digital technology and best practices, future-ready workforce development, and work-integrated digital skilling. These units equip learners with the tools to identify opportunities, drive innovation, leverage digital technologies effectively, and develop a workforce capable of adapting to the digital era.  
 
In the module projects, learners will apply their acquired knowledge and skills to develop a comprehensive Digital Transformation Plan. This plan serves as a strategic guide for organizations seeking to undergo digital transformation, encompassing crucial elements such as digital skilling, project roadmap, desired outcomes, and execution plans. By the end of the module, learners will possess the ability to analyze existing business models, identify innovative opportunities, and create a roadmap for successful digital transformation within their organizations. They will be equipped with the necessary skills to drive growth, competitiveness, and resilience in the digital age, enabling them to thrive in an increasingly digital and interconnected world. 

Other Information
  • SSG Module Reference No: TGS-2023019828
  • Module Validity Date: 2025-01-31

Agile Project Management (Implementation) (SF)

Module Brief

The Agile Management course offers a transformative experience, equipping businesses with essential skills and tools to thrive in today"s dynamic environment. Participants gain proficiency in Agile principles, fostering adaptability, collaboration, and continuous improvement. Comprehensive Instructional Units shape agile leaders capable of navigating complexity, employing Scrum methodology, leading teams, and delivering value-driven outcomes. The Agile Management Capstone provides a framework for implementing agility in Business-as-Usual activities, ensuring efficient and customer-centric delivery while reducing risk. 
Beginning with "Adapt to Complexity using Empiricism and Scrum," participants delve into core Agile Management principles, mastering complexity and Scrum. Subsequent units cover leadership, organizational agility, growth strategies, metrics, and creating an agile culture. Participants learn to create efficient workspaces, facilitate Scrum events, and plan releases predictably. "Build Effective Scrum Teams & Prioritize Valuable Business Outcomes" focuses on team dynamics and product backlog management. 
"Conduct Effective Scrum Events for High Performing Teams" refines skills in sprint planning and daily scrum ceremonies. The core units conclude with "Implement Continuous Growth and Development," exploring the learning loop concept within the broader Agile ecosystem. 
Hands-on projects engage participants in applying learned skills, integrating Scrum framework and agile leadership. The Agile Management Capstone integrates real-world business applications, allowing participants to map out business value, define strategic outcomes, and use Scrum for impactful project delivery. 
Completing the course, participants emerge as Agile Management champions, adept at navigating business complexities, optimizing outcomes, and propelling organizations toward sustainable success in an agile world. 

Other Information
  • SSG Module Reference No: TGS-2019503276
  • Module Validity Date: 2025-01-31

WSQ Capstone Project -Digital Transformation (SF)

Module Brief

The "Digital Transformation Capstone Project" module equips learners with essential knowledge and skills through a range of project tasks. By engaging in activities such as developing business plans for innovative ventures, analyzing and redesigning business models, and implementing digital marketing strategies, learners will attain expertise in driving digital transformations and adapting to evolving consumer behaviors. 
Throughout this module, learners will cultivate the ability to create comprehensive digital transformation strategies for traditional businesses, facilitating a successful transition into the digital realm. They will explore emerging technologies such as artificial intelligence, automation, blockchain, and the Internet of Things (IoT) to optimize business operations, enhance productivity, and identify innovation opportunities.  
The module emphasizes the importance of sustainable and socially responsible business models, integrating environmental and social considerations. Learners will investigate the potential of virtual and augmented reality technologies to enhance product design, customer experiences, and employee training.  By conducting market analyses and feasibility studies, learners will sharpen their skills in identifying target markets, assessing market potential, and developing strategies for successful digital product or service launches. Ultimately, learners will emerge from this module equipped with the necessary abilities to drive digital transformations, leverage emerging technologies, and lead organizations towards a prosperous digital future. 

Other Information
  • SSG Module Reference No: TGS-2023019826
  • Module Validity Date: 2025-01-31

Target Audience & Prerequisite

Target Audience

Prerequisite

  • Minimum Age: Minimum 21 years.
  • English Proficiency: IELTS - 5.5 or its equivalent.
  • Academic Qualification:
    • 2 GCE A level passes / NITEC / Diploma in any specialization with Min. 2 credits or
    • O level with Min. 2 credits.
    • Mature learner: ≥ 30 years old with at least 8 years of work experience in the relevant field.
  • Experience:
    • Min. 1-year experience in the relevant field for A Level/NITEC/Diploma or
    • Min. 3 years’ experience in the relevant field for O Level.

Graduation Requirements

Certificates

Academic Qualification

  • Professional Diploma in Digital Transformation (E-Learning) Awarded by Lithan Academy

Statement of Attainment

  • WSQ Business Analytics (SF)

    ICT-DIT-3006-1.1: Data Visualization

  • WSQ Generative AI (SF)

    ICT-DIT-4029-1.1: Text Analytics and Processing

  • WSQ Robotic Process Automation (SF)

    ICT-DIT-3002-1.1: Applications Development

  • WSQ Capstone Project – Business Analytics (SF)

    ICT-DIT-3005-1.1: Data Engineering

  • WSQ Digital Fluency for all (SF)

    ICT-PDV-4007-1.1: Learning and Development

  • WSQ Digital Transformation (SF)

    ICT-SNA-3011-1.1: Emerging Technology Synthesis

  • Agile Project Management (Implementation) (SF)

    ICT-PMT-4026-1.1: Project Management

  • ICT-PMT-3026-1.1: Project Management

  • WSQ Capstone Project -Digital Transformation (SF)

    ICT-PIN-4016-1.1: Process Improvement and Optimisation

Industry Skills Certificate

  • WSQ Business Analytics (SF)

    Microsoft : Microsoft - Power BI Data Analyst Associate (PL-300)

  • WSQ Robotic Process Automation (SF)

    Microsoft : Microsoft Power Platform Functional Consultant (PL 200)

  • Agile Project Management (Implementation) (SF)

    Scrum.org : Professional Scrum Master™ I Certification

Other Information

Course Reference

  • SSG Course Reference No: TGS-2020511799

  • Course Validity Date: 2025-01-31

  • Course Developer : Lithan Academy

Pricing & Funding