mSME- Generative AI for HR

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mSME- Generative AI for HR

Generative AI for Hyper Productive HR

Duration and Delivery Mode:
Full-time / Part Time

Generative AI for Hyper Productive HR

Duration and Delivery Mode:
Full-time / Part Time

Course Brief

This course is meticulously crafted for HR professionals seeking to capitalize on the transformative capabilities of Generative AI. Offering a comprehensive skills conversion pathway, the course prepares learners to excel in the dynamic field of Generative AI. Upon completion, learners will gain access to a myriad of opportunities for career progression, armed with the expertise to design and implement Generative AI solutions in the HR department of their organizations.

The program comprises two modules: “Generative AI” and the “Generative AI Capstone Project.” The first module immerses learners in the realm of AI models, providing a detailed exploration of Generative AI Models. Focused on the practical applications of ChatGPT and Microsoft Copilot, this module delves into use cases for research, content generation, and business productivity. Through hands-on exercises, learners acquire proficiency in constructing Chatbots using Microsoft Power Virtual Agent, empowering them to create intelligent conversational agents effortlessly.

The “Generative AI Capstone Project,” the second module, serves as the apex of their learning journey. In this project, learners apply their acquired knowledge to develop a compelling chatbot using Power Virtual Agents. The goal is to leverage advanced features such as topics, entities, and proactive messaging, while seamlessly integrating external systems to enhance the chatbot’s functionality. This practical experience enhances problem-solving and project management skills, allowing learners to create innovative AI-driven solutions tailored to real-world HR scenarios.

Throughout the course, learners cultivate a profound understanding of Generative AI and its applications, enabling them to harness AI’s power for diverse purposes. Learners will effectively leverage OpenAI and ChatGPT, uncovering opportunities to revolutionize research, content generation, and business processes. Practical skills gained in building a Chatbot with Microsoft Power Virtual Agent make graduates highly sought after in the competitive job market.

In conclusion, this course provides an exceptional opportunity for HR professionals passionate about Generative AI to unlock their potential and embark on a fulfilling career journey. With a comprehensive curriculum covering Generative AI and hands-on projects, learners emerge well-prepared to confront the challenges of the AI industry, driving innovation and creating transformative AI solutions across HR industries.

Knowledge, Skill, Ability Summary

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

Knowledge

Analyze the fundamentals and applications of generative AI models, including ChatGPT and Power Virtual Agents.
Understanding the fundamental principles of engineering to analyze, design, and construct various types of prompts for solutions.
Evaluate the use cases of generative AI models, such as content generation, research, business productivity, and customer support.
Examine the integration of external systems to enhance the functionality and capabilities of chatbots.
Assess the role and application of multimedia presentations in chatbot development and user engagement.

Skills

Apply generative AI models, including ChatGPT and Power Virtual Agents, to generate content, facilitate research, and improve business productivity.
Build interactive chatbots using Power Virtual Agents, incorporating advanced features like topics, entities, and proactive messaging.
Integrate external systems and APIs to extend the functionality and capabilities of chatbots.
Evaluate and optimize multimedia presentations within chatbot interactions to enhance user engagement.
Collaborate and communicate effectively to design and develop intelligent chatbot solutions utilizing generative AI models.

Ability

Design, develop, and implement interactive chatbots that utilize generative AI models and advanced features, providing a transformative user experience and contributing to enhanced business productivity, specifically tailored for HR business functions.

Blended Learning Journey
(121.0 Hours)

Module Summary

Generative AI

Module Brief

In the “Generative AI” module, learners will delve into the world of AI models and their applications in the workplace. Starting with the fundamentals, the module will elucidate the inner workings of various AI models. Special attention will be given to practical tools essential for Generative AI, including ChatGPT, Copilot, and Power Virtual Agents from Microsoft. Through hands-on engagement, participants will explore how Generative AI can be harnessed to augment HR tasks.

In this module, learners will explore the practical applications of ChatGPT and Microsoft 365 Copilot. They’ll uncover how ChatGPT can be used in HR tasks, such as in research, creating content, boosting business productivity, and assisting with internal stakeholder. 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, learners will possess a comprehensive understanding of AI models, coupled with practical expertise in leveraging ChatGPT, Copilot, and Microsoft Power Virtual Agents for HR-specific tasks. This includes content creation, multimedia presentations, elevating business productivity, and enhancing customer support within a HR context

Other Information

SSG Module Reference No: TGS-2023020397
Module Validity Date: NA

Module Session Plan

Capstone Project -Data Analytics

Module Brief

The Capstone Project module equips learners with essential knowledge and skills required to undertake a comprehensive chatbot development project using Power Virtual Agents. Through a series of tailored project tasks, HR participants will gain hands-on experience and proficiency in various aspects of chatbot creation and management, specifically geared towards HR applications.

In this module, learners will research Power Virtual Agents to understand its capabilities in building chatbots. They will learn to set up and configure the development environment, ensuring a smooth workflow. Creating and managing topics in Power Virtual Agents will enable effective conversation flows, while the utilization of entities and variables will enable dynamic responses, enhancing the bot’s interactivity. Learners will also explore the integration of rich media and attachments for creating an engaging user experience.

Moreover, the module focuses on implementing proactive messaging to initiate conversations with users, providing a proactive and user-friendly chatbot. Learners will gain expertise in integrating external systems and APIs, extending the chatbot’s functionality and usefulness. Testing and debugging the chatbot ensures accuracy, responsiveness, and functionality. Continuous monitoring and optimization based on user feedback and performance data will further enhance the chatbot’s performance.

By the end of the this capstone project module, learners will have developed a fully functional and engaging HR chatbot using Power Virtual Agents. They will be adept at leveraging advanced features like topics, entities, and proactive messaging, while seamlessly integrating external systems for enhanced functionality. Additionally, they will have honed their skills in combining conversational design principles with advanced features, enabling them to build effective and user-centric chatbots tailored to specific needs and domains.

Other Information

SSG Module Reference No: TGS-2023019812
Module Validity Date: NA

Module Session Plan

Target Audience & Prerequisite

Target Audience

Enterprises who would like to enhance HR capabilities using AI-powered HR knowledge chatbot and revolutionary digital learning experiences.
Individuals who are working in HR department

Prerequisite

Academic: Minimum one credit in O Level or its equivalent
English Proficiency: Minimum IELTS 5.5 or its equivalent
Age: Minimum 21 years
Work Experience: Working in HR division of the company.

Graduation Requirements

Each learner must meet the following requirements to secure academic qualifications, and /or Statement of Attainment (SOA) from SSG

Minimum 75% attendance in all sessions.
Minimum pass grade in the summative assessment of each module

Certificates

Academic Qualification NIL

Statement of Attainment

WSQ Generative AI (SF)
WSQ Capstone Project -Data Analytics (SF)

Industry Skills Certification
NIL

EduCLaaS Job Role Certification
Digital Transformation Executive

Other Information

SSG Course Reference No: NA
Course Validity Date: NA
Course Developer: Lithan Academy

Type	Price (SGD)
Course Fee	11,250.00
Add: GST (9%)	1,012.50
Course Fee after GST	12,262.50
Add: Fee Protection Scheme (inclusive of GST)	337.22
Total Fee Payable to Lithan	12,599.72
Miscellaneous Fees (Applicable to all individuals)
Fee Type	Fees (SGD)
Medical Insurance (optional)*	98.10 - Payable upon approval of request
Deferment Admin Fee*	163.50 - Payable upon approval of request
Re-module Fee*	0.00 - Refer to Modular course fee
Re-sit Exam Fee*	109.00 - Payable upon approval of request
Change of Assessment Date Fee*	65.40 - Payable upon approval of request
*where applicable (inclusive of GST)

Type	Price (SGD)
Course Fee	10,000.00
Add: GST (9%)	900
Course Fee after GST	10,900.00
Add: Fee Protection Scheme (inclusive of GST)	299.75
Total Fee Payable to Lithan	11,199.75
Miscellaneous Fees (Applicable to all individuals)
Fee Type	Fees (SGD)
Medical Insurance (optional)*	98.10 - Payable upon approval of request
Deferment Admin Fee*	163.50 - Payable upon approval of request
Re-module Fee*	0.00 - Refer to Modular course fee
Re-sit Exam Fee*	109.00 - Payable upon approval of request
Change of Assessment Date Fee*	65.40 - Payable upon approval of request
*where applicable (inclusive of GST)

Type	Price (SGD)
Course Fee	3,500.00
Add: GST (9%)	315.00
Course Fee after GST	3,815.00
Add: Fee Protection Scheme (inclusive of GST)	104.91
Total Fee Payable to Lithan	3,919.91
Miscellaneous Fees (Applicable to all individuals)
Fee Type	Fees (SGD)
Medical Insurance (optional)*	98.10 - Payable upon approval of request
Deferment Admin Fee*	163.50 - Payable upon approval of request
Re-module Fee*	0.00 - Refer to Modular course fee
Re-sit Exam Fee*	109.00 - Payable upon approval of request
Change of Assessment Date Fee*	65.40 - Payable upon approval of request
*where applicable (inclusive of GST)

Type	Price
Course Fee	11,000.00
Add: GST (9%)	990.00
Course Fee after GST	11,990.00
Add: Fee Protection Scheme (inclusive of GST)	329.73
Total Fee Payable to Lithan	12,319.73
Miscellaneous Fees (Applicable to all individuals)		Add New
Fee Type	Fees in SGD
Medical Insurance (optional)*	$98.10 - Payable upon approval of request
Deferment Admin Fee*	$163.50 - Payable upon approval of request
Re-module Fee*	0.00 - Refer to Modular course fee
Re-sit Exam Fee*	$109.00 - Payable upon approval of request
Change of Assessment Date Fee*	$65.40 - Payable upon approval of request
*where applicable (inclusive of GST)		Add New

Session No#	Session Type	Session Details	Day No. #	Duration
1	EL-F2F	Design thinking principles and application, Ideation techniques and brainstorming User research and empathy mapping	1-1	1.5
2	FC-F2F	Design thinking principles and application, Ideation techniques and brainstorming, persona creation	1-1	1.5
3	EL-F2F	Design thinking principles and application, Ideation techniques and brainstorming User research and empathy mapping	1-2	1.5
4	FC-F2F	Design thinking principles and application, Ideation techniques and brainstorming, persona creation	1-2	1.5
5	AS-F2F	Assignment 1 - Project Ideation	1-3	3
6	EL-F2F	Documenting design decisions, creating design style guides Exploring prototyping tools and software, Wireframing and mockups	1-4	1.5
7	FC-F2F	Information Architecture and Interaction Design Visual Design and Branding	1-4	1.5
8	EL-F2F	Documenting design decisions, creating design style guides Exploring prototyping tools and software, Wireframing and mockups	1-5	1.5
9	FC-F2F	Information Architecture and Interaction Design Visual Design and Branding	1-5	1.5
10	AS-F2F	Assignment 2 - Development of prototype	2-1	3
11	EL-F2F	Interactive prototyping with animations Exporting and publishing prototypes, Creating interactive demos	2-2	1.5
12	FC-F2F	Prototyping	2-2	1.5
13	EL-F2F	Interactive prototyping with animations Exporting and publishing prototypes, Creating interactive demos	2-3	1.5
14	FC-F2F	Prototyping	2-3	1.5
15	AS-F2F	Assignment 3 - Usability Testing & Review	2-4	3
16	EL-F2F	Planning and conducting usability testing Analyzing user feedback for prototypes, incorporating feedback in prototypes Refining the prototype based on user feedback Iterative testing on the modified prototype	2-5	1.5
17	FC-F2F	Usability Testing & Documentation	2-5	1.5
18	EL-F2F	Planning and conducting usability testing Analyzing user feedback for prototypes, incorporating feedback in prototypes Refining the prototype based on user feedback Iterative testing on the modified prototype	3-1	1.5
19	FC-F2F	Usability Testing & Documentation	3-1	1.5
20	AS-F2F	Assignment 4 - Analyze feedback and Refine	3-2	3
21	PM-F2F	Translate business requirements and design the website	3-3	3
22	PM-F2F	Gather the elements and build the prototype Implement interactions to the pages and widgets	3-4	3
23	PM-F2F	Test the prototype and analyse the results Refine the prototype and retest	3-5	3
24	SA-F2F	Summative Assessment (Per Learner)	4-1	30 min

mSME- Generative AI for HR

Generative AI for Hyper Productive HR

Generative AI for Hyper Productive HR

Course Brief

Knowledge, Skill, Ability Summary

Knowledge

Skills

Ability

Blended Learning Journey
(121.0 Hours)

E-Learning
(Async)

Flipped Class
(Sync)

Mentoring Support
(Assignment Sync)

Mentoring Support
(Project Sync)

Mentoring Support
(Project/ Assignment Implementation Async)

Assessment
(Sync)

Module Summary

Target Audience & Prerequisite

Target Audience

Prerequisite

Graduation Requirements

Certificates

Other Information

Pricing & Funding

Type	Price (USD)
Course Fee	6,000.00
Add: GST (9%)	540.00
Course Fee after GST	6,540.00
Add: Fee Protection Scheme (inclusive of GST)	179.85
Total Fee Payable to Lithan	6,719.85
Miscellaneous Fees (Applicable to all individuals)		Add New
Fee Type	Fees (USD)
Medical Insurance (optional)*	98.10 - Payable upon approval of request
Deferment Admin Fee*	163.50 - Payable upon approval of request
Re-module Fee*	0.00 - Refer to Modular course fee
Re-sit Exam Fee*	109.00 - Payable upon approval of request
Change of Assessment Date Fee*	65.40 - Payable upon approval of request
*where applicable (inclusive of GST)		Add New

Session No#	Session Type	Session Details	Day No. #	Duration Hrs
1	PM-F2F	Task 1: Create a Digital Marketing Plan and strategy aligned towards the marketing goal	1-1	3
2	PM-F2F	Task 2: Create a content marketing plan and strategies to attract and retain customers.	1-2	3
3	PM-F2F	Task 3: Proficiency in customer relationship management (CRM) systems for tracking and managing customer interactions.	1-3	3
4	PM-F2F	Task 4: Optimize web assets using SEO strategies for organic growth.	1-4	3
5	PM-F2F	Task 5: Plan, implement, and monitor a Google Ads Search campaign, Facebook and email marketing campaigns.	1-5	3
6	PM-F2F	Task 6: Create and optimize automated marketing campaigns using CRM tool.	2-1	3
7	PM-F2F	Task 7: Integrate online marketing efforts for a seamless customer experience using Omni commerce strategies.	2-2	3
8	PM-F2F	Task 8: Analyze and optimize campaigns and websites using Google Analytics	2-3	3
9	PM-F2F	Task 9: Identify and evaluate market opportunities and develop and launch new marketing ventures or initiatives.	2-4	3
10	PM-F2F	Task 10: Create sales enablement materials and support sales teams and analyze customer insights and market trends to drive product success.	2-5	3
11	PM-F2F	Task 11: Define Agile methodologies such as Scrum, Kanban and lead cross-functional teams and manage projects with flexibility and adaptability.	3-1	3
12	PM-F2F	Task 12: Ability to leverage generative AI, create personalized and data-driven marketing campaigns	3-2	3
13	AS-F2F	Summative Assessment (Per Learner)	3-3	30 min

Session No#	Session Type	Session Details	Day No. #	Duration Hrs
1	EL-F2F	Fundamentals of Python, understanding its syntax, data types (integers, floats, strings, booleans), and basic operators. They will also get familiar with Pythons environment setup and how to write simple scripts.	1-1	1.5
2	FC-F2F	Python Programming Fundamentals Acquire a deeper understanding of Python syntax, data types, and how to write efficient, clean Python scripts. They will also learn about debugging and error handling in Python.	1-1	1.5
3	EL-F2F	Control flow structures, such as conditional statements (if, else, elif) and loops (for, while), to control the execution of their programs and make decisions within their code.	1-2	1.5
4	FC-F2F	Control Flow Structures Master control flow structures, such as conditional statements and loops, to create dynamic programs that can make decisions and iterate through data.	1-2	1.5
5	AS-F2F	Assignment 1: Develop the ability to write Python programs that use correct syntax, handle data types efficiently, and apply control flow structures to create dynamic, decision-making scripts.	1-3	3
6	EL-F2F	Fundamentals of data structures, focusing on arrays and lists. They will learn how to store collections of data, access, and manipulate elements in arrays and lists using Python.	1-4	1.5
7	FC-F2F	Working with Arrays and Lists Deepen their understanding of lists and arrays, learning how to manipulate and store data efficiently. They will explore Pythons built-in list methods for effective data manipulation.	1-4	1.5
8	EL-F2F	Data structures, including stacks, queues, and trees. They will study how these structures operate and how they can be implemented for efficient data management.	1-5	1.5
9	FC-F2F	Advanced Data Structures Learn how to implement and manipulate more complex data structures like stacks, queues, and trees. They will gain insights into the real-world applications of these structures in solving complex problems.	1-5	1.5
10	AS-F2F	Assignment 2: Practice implementing arrays, lists, stacks, and queues in Python. They will develop skills to manipulate and optimize data storage and retrieval processes in real-world scenarios.	2-1	3
11	EL-F2F	Foundational understanding of Object-Oriented Programming. They will learn how to define classes and create objects, as well as the concept of attributes and methods.	2-2	1.5
12	FC-F2F	OOP - Classes and Objects Learn how to create and use classes and objects effectively. They will explore class inheritance and how to define constructors, instance variables, and methods.	2-2	1.5
13	EL-F2F	Key OOP principles, including encapsulation, inheritance, and polymorphism. They will learn how these principles help in structuring reusable and maintainable code.	2-3	1.5
14	FC-F2F	OOP - Encapsulation, Inheritance, and Polymorphism Understand the importance of encapsulation for data protection, inheritance for code reuse, and polymorphism for creating flexible, extendable code in object-oriented programming.	2-3	1.5
15	AS-F2F	Assignment 3: Develop the ability to implement OOP principles by creating classes, objects, and methods in Python. They will use encapsulation, inheritance, and polymorphism to structure code that is reusable and maintainable.	2-4	3
16	EL-F2F	How to interact with files in Python. They will learn to read from and write to text and binary files, handle file exceptions, and work with input/output streams.	2-5	1.5
17	FC-F2F	File Handling and I/O Operations Gain a practical understanding of file operations, including how to handle exceptions during file handling, work with different file formats, and manage input/output streams effectively	2.5	1.5
18	EL-F2F	Python's libraries and modules. They will understand how to use and import external libraries, such as NumPy for numerical analysis, Matplotlib for data visualization, and Flask for web development.	3-1	1.5
19	FC-F2F	Using Python Libraries and Modules Understand the use of libraries and modules to extend Pythons functionality. They will explore how to integrate third-party libraries for specialized tasks, such as data analysis, web development, and machine learning.	3-1	1.5
20	AS-F2F	Assignment 4: Practice reading from and writing to files using Python. They will gain the ability to handle file-related exceptions and utilize external Python libraries and modules to extend their programs capabilities for tasks such as data analysis and visualization.	3-2	3
21	PM-F2F	Task 1: Develop a Python program to analyze and manipulate data structures.	3-3	3
22	PM-F2F	Task 2: Create an object-oriented Python program for a specific application.	3-4	3
23	PM-F2F	Task 3: Implement file handling and input/output operations in Python.	3-5	3
24	PM-F2F	Task 4: Utilize Python libraries and modules to perform advanced data analysis Task 5: Build a project that combines various Python concepts and techniques.	4-1	3
25	SA-F2F	Summative Assessment (Per Learner)	4-2	30 min

Session No#	Session Type	Session Details	Day No. #	Duration Hrs
1	EL-F2F	Adapt to Complexity using Empiricism and Scrum	1-1	1.5
2	FC-F2F	Complexity Mapping & Empirical Loop in Scrum	1-1	1.5
3	EL-F2F	Manage Agile Teams and Organizations Effectively	1-2	1.5
4	FC-F2F	Complexity Mapping & Empirical Loop in Scrum	1-2	1.5
5	AS-F2F	Assignment on Complexity Mapping & Scrum Framework	1-3	3
6	EL-F2F	Create Efficient Workflows and Plan a Product Release	1-4	1.5
7	FC-F2F	Defining Scrum Ecosystem & Agile Metrics	1-4	1.5
8	EL-F2F	Build an Effective Scrum Team and Prioritize Valuable Business Outcomes	1-5	1.5
9	FC-F2F	Defining Scrum Ecosystem & Agile Metrics	1-5	1.5
10	AS-F2F	Assignment on Scrum support & Agility Metrics	2-1	3
11	EL-F2F	Conduct Effective Scrum Events for High Performing Teams	2-2	1.5
12	FC-F2F	Workflow Strategies & Scrum Team Agreements	2-2	1.5
13	EL-F2F	Implement Continuous Growth and Development	2-3	1.5
14	FC-F2F	Preparing Scrum Ecosystem, Roles, and Product Backlog	2-3	1.5
15	AS-F2F	Assignment on Workflow & Scrum Team Management Assignment on Scrum Roles & Product Backlog	2-4	3
16	EL-F2F	Building Scrum Teams & Product Backlog Case Study	2-5	1.5
17	FC-F2F	Definition of Done, Backlog Refinement & Sprint Planning	2.5	1.5
18	EL-F2F	Sprint Planning, Workshop & Daily Scrum Case Study Learning Loop & Agile Ecosystem Case Study	3-1	1.5
19	FC-F2F	Effective Sprint Review and Retrospective Practices	3-1	1.5
20	AS-F2F	Assignment on Sprint Planning Event & Artifacts Assignment on effective Sprint Review & Sprint Retrospective	3-2	3
21	PM-F2F	Project Task Review	3-3	3
22	PM-F2F	Project Brief - Scrum Team Design, Ecosystem Prep & Facilitation Techniques	3-4	3
23	PM-F2F	Project Brief - Enabling Agile Leadership	3-5	3
24	PM-F2F	Project Brief - Closing the Learning Loop	4-1	3
25	SA-F2F	Summative Assessment (Per Learner)	4-2	30 min

mSME- Generative AI for HR

Generative AI for Hyper Productive HR

Generative AI for Hyper Productive HR

Course Brief

Knowledge, Skill, Ability Summary

Knowledge

Skills

Ability

Blended Learning Journey (121.0 Hours)

E-Learning (Async)

Flipped Class (Sync)

Mentoring Support (Assignment Sync)

Mentoring Support (Project Sync)

Mentoring Support (Project/ Assignment Implementation Async)

Assessment (Sync)

Module Summary

Target Audience & Prerequisite

Target Audience

Prerequisite

Graduation Requirements

Certificates

Other Information

Pricing & Funding

Blended Learning Journey
(121.0 Hours)

E-Learning
(Async)

Flipped Class
(Sync)

Mentoring Support
(Assignment Sync)

Mentoring Support
(Project Sync)

Mentoring Support
(Project/ Assignment Implementation Async)

Assessment
(Sync)