Introduction to Digital Product Management
Discover the field of product management through real-life examples and case studies. Glean insights from our guest speakers and instructors who share their learnings and industry best practices.
21 Oct 2021
LEARN WITH US
Be at the intersection of business viability, technical feasibility and best in class customer experience. Designed for non-technical executives, this course will provide an understanding of product management and the roles that product managers play.
Learn how companies like Netflix and Nissan embed data analytics into their product life cycle and are using data to guide decision making.
Taught by industry practitioners, we blend theory with real life examples to make product management come alive.
By the end of the course, participants will be able to:
Grasp the fundamentals of product management
Recognise the different roles that a product manager plays
Apply frameworks to manage the product life cycle
Explore product management in their organisation
Module 1: Introduction to product management
Module 2: Designing the product roadmap and writing proper documentation
Module 3: Aligning product with business needs
Module 4: Data-driven approach to product management
Module 5: Case study and guest speaker series
2 days; 9am to 5pm
COURSE FEES AND FUNDING
SG2,140* (as low as SGD242* after maximum funding)
WHO SHOULD ATTEND
Non-technical executives from technology companies who:
Are informally taking on product management responsibilities
Need to work closely with product management teams
Want an overview of product management
LEARN FROM INDUSTRY EXPERTS
Our instructors and guest speakers are industry practitioners who bring in-depth experience from the field to the classroom. Learn about product management fundamentals and discover how to apply it in your organisations.
Our principal instructor for this course is:
Benedict Khong, Technology Consultant. Ben previously worked at Funding Societies where he helped to grow the business from Series A to C, taking on technical (Head of Data Analytics) and product (Head of Digital Lending) roles along the way.