The "Professional Certificate in Digital Innovation" 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 "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. 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.
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 Copilot Studio for creating intelligent chatbots. Finally, the “Intelligent Application Project” module integrates learning from previous modules into a hands-on project, solidifying practical skills and knowledge. This module equips learners with agile methodologies crucial for driving intelligent digital projects to successful implementation, focusing on adaptability and collaboration.
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
Learners will be able to automate business processes, effectively analyse data, create generative AI-driven solutions, and implement intelligent application development project using agile methodologies for enhancing productivity and innovation in professional environments.
Blended Learning Journey
(242 Hours)
Embark on a transformative journey into app development through our "Robotic Process Automation" module designed to cultivate essential skills for success in the dynamic low-code development landscape. Graduates emerge as adept tech practitioners, ready for roles like Low-Code Developer, Power Platform Developer, or specialized positions such as HR Tech Practitioner. In the latter role, they are valued for their ability to streamline HR processes, automate workflows, and efficiently create robust applications.
The program not only refines technical skills but also fosters a profound understanding of the business value embedded in low-code solutions, positioning our graduates as indispensable assets in the ever-evolving tech industry.
The course begins by exploring the "Business value of Power Platform," providing insights into the strategic advantages of low-code solutions. Subsequently, learners dive into "Power Automate Core Components," unraveling the complexities of this powerful workflow automation tool. The focus then shifts to "Dynamic Decision-Making in Power Automate Workflows," equipping students to create responsive workflows that adapt to changing conditions, enhancing overall application efficacy.
Advancing through the curriculum, the course covers "Unlocking Power Automate Potential with Excel and Document Generation," empowering learners to leverage Excel and document generation for enhanced Power Automate capabilities. "Data Modelling and Model-Driven App" delves into data modeling intricacies, imparting theoretical foundations and practical skills for crafting user-friendly, business-specific model-driven applications.
Progressing further, the course explores the "Power Apps" domain, where learners master creating visually engaging, interactive applications. This unit provides hands-on experience in designing apps with a focus on user interfaces and experiences. Each instructional unit builds a comprehensive skill set, expanding job opportunities and enabling graduates to contribute meaningfully to organizations in today"s fast-paced, technology-driven world.
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 participants 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.
In the "Generative AI" module, learners will learn about different AI models and how they are used in real life. We will start with the basics of these AI models, understanding how they work. We will also explore practical tools like ChatGPT, Copilot, and Copilot Studio from Microsoft. By using these tools, learners 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 will 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 Copilot Studio, 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 Copilot Studio for tasks like content creation, multimedia presentations, improving business productivity, and enhancing customer support.
In the "Intelligent Application Project" module, learners will engage in a comprehensive learning experience focused on developing intelligent applications while adhering to agile project management principles. This module blends asynchronous and synchronous sessions, guiding learners through the essential phases of project management, data acquisition, and the preparation and transformation of data. The emphasis is on leveraging tools like Power BI for data analytics and generative AI for advanced insights, while also honing skills in low-code application development and generative AI chatbot implementation.
Throughout the module, learners will be immersed in projects that mirror real-world scenarios, with a strong focus on applying agile methodologies. They will work on developing intelligent applications, such as creating PowerApps for business processes, refining chatbot design flows, and implementing business process automation using the Power Platform. The projects are designed to bridge the gap between theoretical knowledge and practical application, ensuring that learners gain a holistic perspective on the entire project lifecycle—from ideation to deployment.
By the end of this module, learners will have developed the ability to lead and execute end-to-end intelligent application projects. They will be proficient in project planning, agile project management, data preparation, and the development of interactive dashboards, generative AI applications, and automation tools. This module equips learners with the practical skills necessary to succeed in the evolving landscape of intelligent application development, ensuring they are ready to make a meaningful impact in the field.