WSQ Generative AI (SF) (Synchronous and Asynchronous E-Learning)
About This Course
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.
What You'll Learn
This comprises the following 5 instructional units
1. Introduction to Generative AI Models & Tools
2. Fundamentals of Prompt Engineering
3. Advanced Usage of Prompt Engineering
4. Microsoft 365 Copilot Use Cases for Productivity
5. Microsoft Power Virtual Agents for Chatbot Creation
Knowledge Outcomes
1. Understanding the principles and applications of Generative AI models and the tools used in their development and deployment.
2. Mastery of prompt engineering fundamentals, including crafting effective prompts to guide AI models in generating desired outputs.
3. Proficiency in advanced techniques of prompt engineering, enabling the creation of more nuanced and precise outputs from Generative AI models.
4. Ability to utilize Microsoft 365 Copilot effectively for enhancing productivity through automated code generation and other relevant use cases.
5. Competence in leveraging Microsoft Power Virtual Agents for the creation and customization of chatbots to meet various communication and customer service needs.
Skills Outcomes
1. Ability to strategically select business processes for Generative AI integration.
2. Proficiency in evaluating Generative AI tools and models for suitability.
3. Capability to create detailed integration plans for Generative AI implementation.
4.Competence in defining relevant KPIs to measure Generative AI's impact.
5.Proficiency in continuously improving Generative AI systems.
6. Effective communication skills for interdepartmental alignment on Generative AI.
7. Ability to ensure ethical and regulatory compliance in Generative AI implementation.
8. Enhancement of analytical skills for assessing Generative AI performance.
Entry Requirements
Academic Qualification - Minimum O Level credit in Maths or Minimum one credit in Nitech in STEM
English Proficiency - Minimum IELTS 5.5 or its equivalent
Experience - 2 years experience in Programming or Data analytics