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Enhance Your Employability with Certified Skills and Courses in Singapore - WSQ , IBF-STS, Skills Certification

Supercharge Learning and Instructional Design with Generative AI

This course is dedicated to revolutionizing instructional design and learning processes through the application of Generative AI (GAI). Aimed at educators, instructional designers, and training professionals, the course offers a comprehensive understanding of how GAI can be used to create more dynamic, engaging, and personalized learning experiences.

Participants will explore the integration of GAI in curriculum development, content creation, and student engagement strategies. The course emphasizes practical applications, including the use of AI for adaptive learning paths, automated content generation, and data-driven insights to enhance learning outcomes. Attendees will also engage with ethical considerations and best practices for implementing AI in educational settings. By the end of the course, participants will have the skills and knowledge to effectively incorporate GAI into their instructional design, elevating the educational experience for learners.

Certificate

All participants will receive a Certificate of Completion from Tertiary Courses after achieved at least 75% attendance.

Funding and Grant Applications

No funding is available for this course

Course Code: C1176

Course Booking

The course fee listed below is before subsidy/grant, if applicable. We will apply for the grant and send you the invoice with nett fee.

$300.00 (GST-exclusive)
$327.00 (GST-inclusive)

Course Date

Course Time

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Post-Course Support

We provide free consultation related to the subject matter after the course. Please email your queries to enquiry@tertiaryinfotech.com and we will forward your queries to the subject matter experts and get back to you asap.

Course Cancellation/Reschedule Policy

We reserve the right to cancel or re-schedule the course due to unforeseen circumstances. If the course is cancelled, we will refund 100% to participants.
Note the venue of the training is subject to changes due to class size and availability of the classroom.
Note the minimal class size to start a class is 3 Pax.


Course Details

Topic 1 How Generative AI (GAI) can Support Learning and Development

  • Current challenges and opportunities in L&D
  • How Generative AI (GAI) can amplify and accelerate L&D outcomes
  • Use cases of GAI in education and learning

Topic 2 Application of Generative AI in L&D

  • Designing customized learning programs
  • Generative AI for instructional design
  • Personalized, adaptive and curated learning

Topic 3 Future of Generative AI (GAI) for L&D

  • Legal and ethical considerations
  • The future of GAI for L&D

Course Info

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Job Roles

  • Instructional Designer with AI Expertise
  • GAI-Enhanced Learning Coordinator
  • Educational Technologist using AI
  • AI-Powered Curriculum Developer
  • E-Learning Specialist with GAI
  • AI-Assisted Instructional Technology Consultant
  • Personalized Learning Developer using AI
  • Digital Learning Innovator with AI Applications
  • AI-Based Educational Content Creator
  • Training and Development Officer with AI Integration
  • AI-Enhanced Academic Advisor
  • Educational Data Analyst using AI
  • GAI-Driven Corporate Trainer
  • Online Course Designer with AI Tools
  • AI-Enhanced Performance Coach
  • Adaptive Learning Developer using GAI
  • AI-Driven Educational Researcher
  • GAI-Powered Learning Experience Designer
  • AI-Based Learning Analytics Specialist
  • AI-Enhanced Student Engagement Strategist

Trainers

Man Guo Chang: Man Guo Chang graduated from Nanyang Technological University, School of Electrical and Electronic Engineering, major in Computer Engineering.

He has more than 25 years of working experience in the Semiconductor field, specialized in IC Testing, Inline Electrical Testing, Product & Yield Engineering, Data Analysis, System Engineering, and Software Development. He is also an ACTA certified trainer, currently providing STEM training to adult learners in the area of Computer Vision, Internet of Things, Embedded Electronics, and Python Programming.

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, (Posted on 12/9/2021)

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