• Home
  • AI for Product Development

AI for Product Development

Course Information

  • Sessions 2 days
  • Duration 15 hrs
  • Level Intermediate
  • Assessment NA

Venue

Kuala Lumpur: G-3A-02, Suite Pejabat Korporat, KL Gateway, No 2, Jalan kerinchi, Gerbang kernichi Lestari, 59200 Kuala Lumpur, Malaysia
Penang: Jalan Sungai Dua, 11700 Penang, Malaysia.

Course Brochure

Download Course Brochure

Certification

By end of the course, learners should be able to:

  • LO1: Develop a Kubernetes architectural proof of concept.
  • LO2: Identify the technical and practical requirements in a Kubernetes setup.
  • LO3: Develop a solution architecture within Kubernetes.
  • LO4: Prepare a technical blueprint for a Kubernetes-based solution for security and storage.
  • LO5: Demonstrate Kubernetes solution for a specific business problem.
  • LO6: Implement regular monitoring of the Kubernetes system and perform necessary troubleshooting.

Microsoft Learning Partner

We are an Authorised Microsoft Learning Partner (Org ID: 5238476). To get the official Microsoft certification, please register your certification exam at a Pearson VUE test center.

AI for Product Development

Course Code: C840

7 Review(s) | Add Your Review

Share

What's This Course About

This course equips participants with practical skills to apply agentic AI across the product development lifecycle, from opportunity discovery and concept creation to prototyping, testing, launch, and continuous improvement. Learners will explore how autonomous AI agents can perform multi-step tasks, coordinate workflows, analyse information, and support product teams in making faster, evidence-based decisions.

Participants will use agentic AI to conduct market and competitor research, identify customer needs, develop user personas, generate product concepts, and prioritise features. They will learn to translate product ideas into requirements, user stories, journey maps, specifications, development plans, and prototypes that align with business objectives and user expectations.

The course also covers designing multi-agent workflows for coordinating research, design, development, documentation, quality assurance, and stakeholder feedback. Learners will apply agentic AI to evaluate prototypes, analyse user feedback, detect product gaps, monitor key performance indicators, and recommend improvements throughout iterative development cycles.

Emphasis is placed on human oversight, data quality, responsible AI practices, security, governance, and the validation of AI-generated outputs. Through hands-on projects, participants will develop an AI-assisted product concept and supporting development workflow. By the end of the course, learners will be able to use agentic AI to improve collaboration, reduce repetitive work, shorten development cycles, and create products that better address customer and market needs.

Bonus: Free Practice Exams

Get exam-ready on our Practice Exam Portal — train in realistic Practice Mode and timed Exam Mode, then retake them as many times as you like before the real exam.

Start Practising →

Course Fee

MYR2,800.00

Course Date

Course Time

Additional Note

Please bring your own laptop for hands-on training. If you don't have laptop, we can provide spare laptop for training use.

Disclaimer: The course dates displayed on our website are tentative and subject to trainer availability. We will confirm the final date after checking with the trainer. You are also welcome to email us your preferred date at sales@tertiarycourses.com.my, and we will do our best to coordinate with the trainer's schedule.

Post-Course Support

  • We may provide consultation related to the subject matter after the course.
  • Please email your queries to sales@tertiarycourses.com.my and we will forward your queries to the subject matter experts and get back to you as soon as possible.

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. The minimum class size to start a class is 3 Pax.

Course Details

Course Details

What You'll Learn

Topic 1: Evaluating Agentic AI Tools for Product Research and Development

Topic 2: Building and Optimising Agentic AI Product Development Workflows

Topic 3: Deploying and Evaluating Agentic AI-Powered Product Solutions

Course Info

Prerequisite

This is a intermediate course. The following knowledge is asumed:

Software Requirement

Please install the following software prior to the class

1. Pycharm : - Install Pycharm (https://www.jetbrains.com/pycharm/download/)

2 . Install Pytorch 

Please follow this guide to install Pytorch https://pytorch.org/get-started/locally/

Job Roles

Job Roles

  • Product Manager
  • Product Owner
  • AI Product Manager
  • Product Development Engineer
  • Digital Product Manager
  • UX/UI Designer
  • User Researcher
  • AI Implementation Consultant
  • Product Marketing Manager
  • Solution Architect
  • Web Developer
  • Data Analyst
  • Software Engineer
  • Business Analyst
  • Innovation Manager
  • Project Manager
  • AI Researcher
  • Customer Insights Analyst
  • Quality Assurance Engineer
  • R&D Manager

Trainers

Trainers

Saeid is co-founder of Skymics Sdn Bhd. He has 8 years of experience in the field of IoT (Internet of Things) and Information Technology. He is a certified IBM IoT Practitioner and instructor, and a Certified Citizen Data Scientist Train-The-Trainer. He has been co-inventor of 3 inventions during the last 4 years.

Review

Customer Reviews (7)

Exceeded my expectations Review by Course Participant/Trainee
1. Do you find the course meet your expectation?
2. Do you find the trainer knowledgeable in this subject?
3. How do you find the training environment
The course content was comprehensive and up to date. The practical exercises were the best part. (Posted on 12/06/2024)
Worth every cent Review by Course Participant/Trainee
1. Do you find the course meet your expectation?
2. Do you find the trainer knowledgeable in this subject?
3. How do you find the training environment
Very engaging session. The trainer patiently answered all our questions and gave useful tips. (Posted on 12/02/2024)

Items 6 to 7 of 7 total

per page
Page:
  1. 1
  2. 2

Write Your Own Review

You're reviewing: AI for Product Development

How do you rate this product? *

  1 star 2 stars 3 stars 4 stars 5 stars
1. Do you find the course meet your expectation?
2. Do you find the trainer knowledgeable in this subject?
3. How do you find the training environment