WSQ Capstone Project - Intelligent Apps (SF) (Synchronous and Asynchronous E-Learning)
About This Course
In this capstone module, learners will immerse themselves in a comprehensive learning experience, acquiring knowledge and skills essential for proficient digital innovation personnel. 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, artificial intelligence and power automate.
What You'll Learn
Project Tasks
1. Create Project Plan and user Personas
2. Prepare, transform, and model Data for Analytics
3. Design Interactive Dashboard and Reports
4. Data collection and design flow for chatbot design
5. Design custom topics, entities for chatbot design
6. Test and Publish chatbot
7. Selection of core components and design of low code application
8. Test and deploy intelligent application
Entry Requirements
Academic Qualification: Minimum 1 credit in N Level or its equivalent
Experience: Minimum 1 year in any field