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CCP – AI Engineer

CCP – AI Engineer

Duration and Delivery Mode:
4 Weeks Full-time/ 16 Weeks (6 Wk, 10 Wk) Part-time
(Synchronous and Asynchronous E-Learning)

CCP – AI Engineer

Duration and Delivery Mode: 
4 Weeks Full-time/ 16 Weeks (6 Wk, 10 Wk) Part-time
(Synchronous and Asynchronous E-Learning)

Course Brief

Career Conversion Programs (CCPs) facilitate the skilling and placement of mid-career professionals by providing skills conversion training and employment opportunities with good prospects for progression. With funding support from WSG, employers can participate in CCPs, which can be stacked with the Jobs Growth incentive, benefiting both employers and mid-career individuals seeking career transitions.

The “CCP – AI Engineer” course is a specialized Career Conversion Program designed for individuals seeking to transition into the role of an AI Engineer. This comprehensive course offers a skills conversion pathway, equipping learners with the necessary expertise to thrive in this in-demand job role. Through this Career Conversion Program, learners undergo a transformative journey, acquiring the knowledge and skills required to excel as AI Engineers. By completing this reskilling and redeployment AI Engineer course, learners gain access to an array of opportunities for progression in the field of AI Engineering. They are well-prepared to tackle the challenges of designing and implementing AI chatbot in their company.

The course consists of two modules that cover essential topics in Generative AI and Capstone Project -Data Analytics. The first module, “Generative AI,” delves into the world of AI models, focusing on the introduction to Generative AI Models and OpenAI. Participants will explore the versatile applications of ChatGPT, analyzing its use cases for research, content generation, and business productivity. Through practical exercises, they will gain expertise in building a ChatBot using Microsoft Power Virtual Agent, empowering them to create intelligent conversational agents with ease.

The second module, the “Capstone Project-data Analytics,” serves as a culmination of their learning journey. In this project, students will apply their knowledge of Generative AI to develop an engaging chatbot using Power Virtual Agents. The objective is to leverage advanced features like topics, entities, and proactive messaging, while seamlessly integrating external systems to enhance the chatbot’s functionality. Through this hands-on experience, learners will strengthen their problem-solving and project management skills, honing their ability to create innovative AI-driven solutions tailored to real-world scenarios.

Throughout the course, learners will develop a deep understanding of Generative AI and its applications, enabling them to harness the power of AI for diverse purposes. They will learn to leverage OpenAI and ChatGPT effectively, uncovering opportunities to revolutionize research, content generation, and business processes. Moreover, the practical experience gained in building a Chatbot with Microsoft Power Virtual Agent will equip them with practical skills that are highly sought after in the job market.

In conclusion, the “CCP -AI Engineer” course offers an excellent opportunity for aspiring AI enthusiasts to unlock their potential and embark on a rewarding career journey. With a comprehensive curriculum covering Generative AI and hands-on projects, graduates will be well-prepared to meet the challenges of the AI industry head-on, driving innovation and creating transformative AI solutions for a wide range of 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.
  • Describe the process of building interactive chatbots using Power Virtual Agents and leveraging advanced features like topics, entities, and proactive messaging.
  • 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 deploy interactive chatbots that leverage generative AI models and advanced features, transforming user experiences and enhancing business productivity.

Blended Learning Journey
(121 Hours)

E-Learning
(Async)

12 Hours

Flipped Class
(Sync)

24 Hours

Mentoring Support
(Assignment Sync)

12 Hours

Mentoring Support
(Project Planning Sync)

36 Hours

Mentoring Support
(Project Implementation Async)

36 Hours

Assessment
(Sync)

1 Hour

Module Summary

Module Brief

In the module “Generative AI,” learners will acquire a comprehensive understanding of various AI models and their applications. They will be introduced to the fundamentals of Generative AI Models, gaining insights into their functionalities and capabilities. Additionally, participants will explore OpenAI and its practical implementation, particularly focusing on the application of ChatGPT – a powerful language generation model. This knowledge will enable learners to harness the potential of ChatGPT for diverse purposes, including research and content generation.

Throughout the module, learners will delve into ChatGPT’s real-world applications, uncovering its use cases in areas such as research, content generation, business productivity, and customer support. They will gain hands-on experience in leveraging Generative AI tools like ChatGPT and Microsoft Power Virtual Agent (VA) to create engaging and interactive content. Moreover, the module will empower learners to build functional ChatBots using Microsoft Power VA, enabling seamless interactions with users.

By the end of the “Generative AI” module, participants will possess a solid foundation in AI models and OpenAI, along with the practical expertise to utilize ChatGPT effectively for content generation, multimedia presentations, business productivity, and customer support. They will be equipped to apply their acquired knowledge to real-world scenarios, enhancing their problem-solving abilities and opening up numerous opportunities for innovative AI-driven solutions in various domains.

Other Information
  1. SSG Module Reference No: TGS-2023020397
  2. Module Validity Date: NA
Module Session Plan
Module Brief

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

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 “Capstone Project-Data Analytics” module, learners will have developed a fully functional and engaging 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
  1. SSG Module Reference No: TGS-2023019812
  2. Module Validity Date: NA
Module Session Plan

Target Audience & Prerequisite

Target Audience

  • Enterprises who would like to send their employees for reskill/ re-deploy them into AI Engineer job roles.
  • Enterprises who would like to hire fresh candidates and send them for training to acquire AI Engineer skills.

Prerequisite

  • Academic: Minimum O Level credit in Maths or Minimum one credit in Nitech in STEM
  • English Proficiency: Minimum IELTS 5.5 or its equivalent
  • Age: Minimum 21 years
  • Work Experience: Currently Employed

Graduation Requirements

Each learner must meet the following requirements to secure academic qualifications and eduCLaaS job role certification.
  • 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)
  • ICT-DIT-4029-1.1: Text Analytics and Processing
  • WSQ Capstone Project Data Analytics (SF)
  • ICT-PMT-4001-1.1 Business Needs Analysis
  • ICT-OUS-3011-1.1 Problem Management
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

Pricing & Funding