Course Brief

The "Professional Certificate in Data Analytics & AI" course is a comprehensive program designed to equip learners with cutting-edge skills in the burgeoning fields of data analytics and artificial intelligence. Upon completion, graduates will find themselves well-positioned for a variety of in-demand roles such as data analysts, business intelligence specialists, AI consultants, and roles in robotic process automation. These fields are rapidly growing, offering significant opportunities for career advancement and innovation. This course opens doors to diverse sectors where data-driven decision-making and AI implementation are pivotal, ensuring that learners are job-ready in this dynamic and evolving industry. 


The course begins with the "Data Analytics" module, where learners are introduced to the fundamentals of Data Analytics and Power BI, a powerful tool for data transformation and modelling. This module emphasizes practical skills in Power BI Formatting, creating insightful Reports and Dashboards. Additionally. The "Generative AI" module delves into the world of AI, starting with an overview of Generative AI Models & Tools. Learners will explore the Fundamentals and Advanced Usage of Prompt Engineering, a skill set essential for crafting effective AI responses. This module also covers practical applications in the modern workplace, including Microsoft 365 Copilot Use Cases for enhancing productivity and Microsoft Power Virtual Agents for creating intelligent chatbots. The "Robotic Process Automation" module focuses on the transformative impact of the Power Platform in businesses. It guides learners through Power Automate Core Components and teaches them to make Dynamic Decisions in Power Automate Workflows.  
 
This section of the course also covers integrating Power Automate with Excel and Document Generation, data modelling, and developing model-driven apps. Learners will also gain hands-on experience in designing Canvas apps, equipping them with skills for developing custom business applications. Finally, the Capstone Project – Data Analytics & App Development allows learners to apply their knowledge in a practical project, focusing on Data Analytics with Power BI, Low Code App Development, and Chatbot Implementation. This project is tailored to simulate real-life scenarios in smart business environments, providing an opportunity to integrate and apply all the skills and knowledge acquired throughout the course. This comprehensive approach ensures that learners not only understand theoretical concepts but also gain practical, hands-on experience, making them highly valuable in the job market and well-prepared for a career in data analytics and AI.

Course Knowledge, Skills & Ability Summary

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

Knowledge

  • Define key concepts and components of Power BI in data analytics.
  • Explain the principles of Generative AI models and tools.
  • Describe the business value of Power Platform in Robotic Process Automation.
  • Compare different strategies in prompt engineering for AI applications.
  • Identify the steps in creating dynamic workflows using Power Automate. 

Skills

  • Analyze data using Power BI for insightful reporting and dashboard creation.
  • Apply prompt engineering techniques in Generative AI for effective communication.
  • Develop model-driven and canvas apps utilizing the Power Platform.
  • Implement chatbot solutions using Microsoft Power Virtual Agents.
  • Design and execute a capstone project integrating Data Analytics, AI, and Low Code App Development. 

Ability

Learners will be able to effectively analyse data, create Generative AI-driven solutions, and automate business processes, enhancing productivity and innovation in professional environments. 

Blended Learning Journey

(242 Hours)

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E-Learning

42 Hours

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Flipped Class

42 Hours

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Mentoring Support (Sync) (Assignment)

54 Hours

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Mentoring Support (Sync) (Project)

48 Hours

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Mentoring Support (Async)

54 Hours

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Summative Assessment

2 Hours

Module Summary

Data Analytics

Module Brief

The module “Data Analytics" 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. 
 
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. By leveraging Power BI, participants will gain practical experience in analyzing and interpreting data and making informed decisions based on data insights. This practical application will foster the development of the participant's capacity to extract meaningful insights, collaborate effectively, and actively contribute to the success of businesses. 
 
Upon successful completion of the “Data Analytics" module, participants will emerge with a profound understanding of data analytics principles and techniques. They will possess proficiency in utilizing Power BI, 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 to drive informed decision-making and address intricate business challenges. 

Other Information
  • SSG Module Reference No: NA
  • Module Validity Date: 2027-01-31

Generative AI

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: NA
  • Module Validity Date: 2026-01-31

Robotic Process Automation

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: NA
  • Module Validity Date: 2026-01-31

Capstone Project – Data Analytics and App Development

Module Brief

In the "Capstone Project-Data Analytics & App Development " 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: NA
  • Module Validity Date: 2026-01-31

Target Audience & Prerequisite

Target Audience

Prerequisite

  • Minimum Age: Minimum 18 years.
  • English Proficiency: IELTS - 5.5 or its equivalent.
  • Academic Qualification: Minimum O level or its equivalent with English and Mathematics credit
  • Experience: Not Mandatory.

Graduation Requirements

Certificates

Academic Qualification

  • Professional Certificate in Data Analytics and Artificial Intelligence awarded by eduCLaaS

Other Information

Course Reference

  • SSG Course Reference No: NA

  • Course Validity Date: 2026-01-31

  • Course Developer : Educlaas Pte Ltd, India

Pricing & Funding

Course Name Price (USD)
Professional Certificate in Data Analytics and Artificial Intelligence 2000