Industrial AIoT Bootcamp
Cohort Seven | The AI-Augmented Product Lifecycle
A FREE Gateway to a Future in Technology!
Step into the future with the 7th edition of our live, online Bootcamp focused on AI-Augmented Product Development. Designed for software engineers, product managers, and cross-functional teams, this 8-week part-time program explores how AI can transform the entire product lifecycle from discovery and planning to prototyping, delivery, and launch. Learn how to use AI not just as a coding assistant, but as a collaborative thinking layer that improves decision-making, accelerates product workflows, and helps teams build solutions that truly solve user problems.
APPLY NOWWho can benefit from it?
Who Should Join?
![[object Object]](/images/aiot-launchpad/icon1.png "BootCamp icon")
Software Engineers &
Developers
Engineers who want to move beyond
AI-assisted coding and learn
how to use AI for product thinking,
architecture exploration, rapid
prototyping, workflow automation,
and collaborative product delivery
![[object Object]](/images/aiot-launchpad/icon2.png "BootCamp icon")
Product Managers &
Product Teams
PMs and product professionals
looking to use AI for customer
discovery, requirement analysis,
product specification writing
faster decision-making
across teams.
![[object Object]](/images/aiot-launchpad/icon3.png "BootCamp icon")
Startup Teams & Innovators
Entrepreneurs, founders,
and startup teams aiming
to build AI-augmented
products while improving
collaboration between
business, product, and
engineering functions.
![[object Object]](/images/aiot-launchpad/icon4.png "BootCamp icon")
Tech Leads & Cross-Functional
& Cro
Engineering managers, team
leads, and collaborative product
teams who want to establish
effective AI-assisted workflows,
governance practices, and measurable
delivery improvements.
Be a Trailblazer in AI Orchestration
Connect with engineers, PMs, startup teams, and innovators exploring practical AI adoption in modern product development environments.
Gain exposure to AI-assisted product development tools, collaborative workflows, automation techniques, and modern engineering practices used by high-performing teams.
Work in cross-functional teams to design, prototype, iterate, and launch a real product using AI-assisted workflows across discovery, planning, development, QA, and release management.
Learn from SenzMate’s AI, engineering, and product experts with practical experience in building scalable software systems, AI-powered workflows, and real-world digital products.
Join the Industrial AIoT Bootcamp and unlock the power of next-generation AI systems. With us, you'll gain:
Networking Opportunities
Connect with engineers, PMs, startup teams, and innovators exploring practical AI adoption in modern product development environments.
Exclusive Access to Tools & Frameworks
Gain exposure to AI-assisted product development tools, collaborative workflows, automation techniques, and modern engineering practices used by high-performing teams.
Hands-On Product Building Experience
Work in cross-functional teams to design, prototype, iterate, and launch a real product using AI-assisted workflows across discovery, planning, development, QA, and release management.
Access to Industry Expertise
Learn from SenzMate’s AI, engineering, and product experts with practical experience in building scalable software systems, AI-powered workflows, and real-world digital products.
BootCamp Program
Program Highlights
Target Audience
Software engineers, product managers, startup teams, and technology professionals interested in applying AI across the full product lifecycle — from problem discovery to product launch.
Curriculum Design
Our curriculum is designed to help participants understand how AI improves product thinking, collaboration, architecture exploration, delivery automation, and decision-making while maintaining strong human oversight.
Hands-On Learning
Participants will work on real-world product scenarios and collaborative projects, learning how to use AI for discovery, specification writing, prototyping, delivery workflows, quality assurance, and product launches.
About the Bootcamp
Industrial AIoT Bootcamp | Cohort 07: The AI-Augmented Product Lifecycle
This module provides a practical introduction to AI-assisted product development, covering AI-powered discovery, product planning, rapid prototyping, workflow automation, and collaborative software delivery. Participants will gain a clear understanding of how AI can support software engineers and product managers throughout the product lifecycle—from identifying user problems to launching real-world solutions. Through hands-on projects and team-based activities, learners will explore AI-assisted product thinking, architecture exploration, QA automation, and delivery workflows. By the end of the module, participants will be equipped to build and manage AI-augmented products that are practical, scalable, and aligned with modern industry needs.
Module Plans for Cohort 7
Cohort 07 | Week 01
Product-Led Engineering
- Understanding the shift from ‘shipping code’ to ‘solving real user problems’
- The evolving role of engineers and PMs in AI-assisted product development
- Principles of effective PM–Engineer collaboration
- Research and case studies on how AI impacts product thinking and delivery
- Hands-on: Analysing real-world product failures and identifying better decision pathways using AI-assisted insights
Cohort 07 | Week 02
Context & Discovery
- Using AI to analyse customer feedback and identify product opportunities
- Simulating user perspectives and validating assumptions with AI
- Writing clear product specifications with AI-assisted workflows
- Understanding the importance of human review and collaborative refinement
- Hands-on: Creating an AI-assisted product brief for a real or hypothetical problem
Cohort 07 | Week 03
AI-Assisted Architecture & Prototyping
- Exploring system design approaches and architectural trade-offs with AI
- Rapid prototyping techniques for validating product ideas quickly
- Collaborative documentation and maintaining alignment across teams
- Understanding where AI supports architecture decisions and where human expertise remains critical
- Hands-on: Building a simple working prototype based on a product brief
Cohort 07 | Week 04
Delivery & Automation
- AI-assisted QA workflows, code reviews, and delivery processes
- Automating repetitive engineering and project management tasks
- Governance practices for accountability, approvals, and auditability
- Measuring delivery performance using quality, speed, and decision metrics
- Hands-on: Creating a governance checklist and defining delivery baseline metrics
Cohort 07 | Week 05
Product Scoping
- Defining a real-world problem and identifying target users
- Using AI to draft and refine collaborative product briefs
- Recording key product decisions and technical considerations
- Setting up shared workflows for documentation, tasks, and development
- Hands-on: Team-based product scoping and decision logging exercise
Cohort 07 | Week 06
Rapid Prototyping
- Breaking product requirements into manageable development tasks
- Building core product features using AI-assisted development workflows
- Tracking implementation progress against product goals
- Managing scope and maintaining alignment between PMs and engineers
- Hands-on: Developing a functional prototype for the selected product idea
Cohort 07 | Week 07
Iteration & Quality Improvement
- Testing products against acceptance criteria and user expectations
- Using AI to identify edge cases, bugs, and quality improvements
- Documenting final design and delivery decisions
- Hands-on: Refining and testing the product for release readiness
Cohort 07 | Week 08
Product Launch & Retrospective
- Preparing products for release and stakeholder demonstrations
- Generating release notes and project documentation with AI assistance
- Conducting product demos and collaborative reviews
- Running retrospectives to evaluate delivery quality and AI impact
- Hands-on: Final product launch, presentation, and retrospective session
Cohort 07 | Week 01
Product-Led Engineering
- Understanding the shift from ‘shipping code’ to ‘solving real user problems’
- The evolving role of engineers and PMs in AI-assisted product development
- Principles of effective PM–Engineer collaboration
- Research and case studies on how AI impacts product thinking and delivery
- Hands-on: Analysing real-world product failures and identifying better decision pathways using AI-assisted insights
Cohort 07 | Week 02
Context & Discovery
- Using AI to analyse customer feedback and identify product opportunities
- Simulating user perspectives and validating assumptions with AI
- Writing clear product specifications with AI-assisted workflows
- Understanding the importance of human review and collaborative refinement
- Hands-on: Creating an AI-assisted product brief for a real or hypothetical problem
Cohort 07 | Week 03
AI-Assisted Architecture & Prototyping
- Exploring system design approaches and architectural trade-offs with AI
- Rapid prototyping techniques for validating product ideas quickly
- Collaborative documentation and maintaining alignment across teams
- Understanding where AI supports architecture decisions and where human expertise remains critical
- Hands-on: Building a simple working prototype based on a product brief
Cohort 07 | Week 04
Delivery & Automation
- AI-assisted QA workflows, code reviews, and delivery processes
- Automating repetitive engineering and project management tasks
- Governance practices for accountability, approvals, and auditability
- Measuring delivery performance using quality, speed, and decision metrics
- Hands-on: Creating a governance checklist and defining delivery baseline metrics
Cohort 07 | Week 05
Product Scoping
- Defining a real-world problem and identifying target users
- Using AI to draft and refine collaborative product briefs
- Recording key product decisions and technical considerations
- Setting up shared workflows for documentation, tasks, and development
- Hands-on: Team-based product scoping and decision logging exercise
Cohort 07 | Week 06
Rapid Prototyping
- Breaking product requirements into manageable development tasks
- Building core product features using AI-assisted development workflows
- Tracking implementation progress against product goals
- Managing scope and maintaining alignment between PMs and engineers
- Hands-on: Developing a functional prototype for the selected product idea
Cohort 07 | Week 07
Iteration & Quality Improvement
- Testing products against acceptance criteria and user expectations
- Using AI to identify edge cases, bugs, and quality improvements
- Documenting final design and delivery decisions
- Hands-on: Refining and testing the product for release readiness
Cohort 07 | Week 08
Product Launch & Retrospective
- Preparing products for release and stakeholder demonstrations
- Generating release notes and project documentation with AI assistance
- Conducting product demos and collaborative reviews
- Running retrospectives to evaluate delivery quality and AI impact
- Hands-on: Final product launch, presentation, and retrospective session
Expected Outcomes of Cohort 7
Comprehensive understanding of AI-assisted product development workflows and cross-functional collaboration.
Practical experience using AI for product discovery, specification writing, architecture exploration, prototyping, and delivery workflows.
Confidence in translating product ideas into working systems through AI-augmented collaboration between PMs and engineers.
Hands-on experience building and launching a real product as part of a collaborative team.
Understanding of AI governance practices, human-in-the-loop review systems, and accountability frameworks for modern development teams.
Ability to measure AI impact using meaningful metrics such as decision latency, delivery quality, and rework reduction.
Exposure to practical AI workflows for QA automation, documentation generation, project tracking, and release management.
Networking opportunities with engineers, PMs, startup founders, and industry professionals exploring AI-driven product development.
Certificate of Completion validating practical skills in AI-assisted product development and collaborative software delivery.
Prerequisites for Cohort 7
8–10 hours/week commitment from July to September 2026
Mandatory 2-hour hands-on sessions every Saturday.
Optional 1-hour Q&A sessions every Sunday.
Basic understanding of AI or machine learning concepts is preferred, with familiarity in programming or working with AI tools.
Interest in exploring LLMs, retrieval-augmented generation, knowledge graphs, and AI agent frameworks, with a passion for building real-world AI systems and workflows.
How to enroll
Apply and join BootCamp in 5 easy steps
Kickstart your journey by expressing your interest in joining the AIoT Bootcamp. Complete the application form to communicate your passion and career aspirations.
1
After expressing your interest, our team will thoroughly review your application. Once selected, you'll receive a confirmation along with detailed information about the bootcamp.
2
Participate in an orientation session where you'll get insights into the structure of the bootcamp, meet the instructors, and connect with fellow participants. This session sets the stage for a collaborative and engaging learning experience.
3
Get hands-on with the basics! Our expert instructors will guide you through fundamental knowledge, ensuring you have a strong foundation before delving into more advanced topics and real world scenarios.
4
Experience the practical side of big data and IoT! Engage in a collaborative project kickoff where you'll work on real-world applications. From concept to implementation, our team will support you every step of the way.
5
SenzMate's Industrial AIoT Bootcamp | Cohort 07- Enrollment Form
Join SenzMate’s Industrial AIoT Bootcamp by filling out the form below. This 8-week program is designed for software engineers, product managers, startup teams, and technology professionals eager to explore AI-assisted product development across the full product lifecycle. Gain hands-on experience in AI-powered discovery, product planning, rapid prototyping, workflow automation, QA processes, and collaborative software delivery. Work in cross-functional teams to design, build, and launch real-world products while learning how AI can improve product thinking, accelerate decision-making, and strengthen modern development workflows in an industry-focused environment.
Important Information:- Funding: This program is fully funded.
- Selection Process: In the first round, we are selecting 50 candidates based on your profile for the 7th cohort.
- Registration Deadline: Please complete your registration by 2026/06/09
FAQ
Frequently Asked Questions
Have questions about how our solutions work or how they can support your daily operations? This FAQ section provides simple and clear answers to help you understand everything you need in one place.
This cohort provides an immersive, hands-on learning experience designed to help participants understand how AI can improve collaboration across the full product lifecycle. Over 8 weeks, participants will explore AI-assisted product discovery, specification writing, architecture exploration, rapid prototyping, QA automation, and delivery workflows. The program combines theory with practical team-based projects, allowing participants to design, build, iterate, and launch a real product using AI-assisted workflows. Courses are conducted through a dedicated Moodle LMS platform, creating an engaging and flexible remote learning experience for working professionals and technology enthusiasts.
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