short courseDigital and Agile Product Development
Great products are a reflection of the processes, technology, and people that create them. In this 6-week online course, you'll gain the skills and mindset needed to succeed as a Product Manager or Product Owner. Master the full digital product development lifecycle while applying the latest agile practices and AI integrations. Perfect for beginners and professionals looking to upskill!
Part-Time
weeks
Remote
English
Program overview
Upcoming Dates
Course dates
May 12 - Jun 23
Apply by
May 05
Tuition
2'500 EUR
Format
Remote
Looking for financing? Check out our financing options.
Schedule
- Mon
Remote
- 18.00 - 19.30Lecture
- 19.30 - 21.00Practice
- Wed
Remote
- 18.00 - 19.30Lecture
- 19.30 - 21.00Practice
LectureLearn from our instructors who are experts in their respective fields and get introduced to new topics during live lectures.
PracticeWork on a set of interesting and challenging exercises related to the topics covered in the previous lesson.
Where our students get jobs
Get your dream job - we'll support you along the way!
What you will learn
This course follows a practical, hands-on, and iterative learning approach with a balance between theoretical learning, case studies, AI-powered insights, and real-world applications. Each module will include an AI Integration segment to explore how AI is transforming modern product management.
Module 1
Introduction to Product Management & Product Thinking
- Role & responsibilities of a Product Manager (PM)
- Product vs. Project Management
- Product Thinking & Value-Driven Development
- PM as a leader & key leadership skills
Module 2
Product Vision & Strategy
- Defining Product Vision & Strategic Goals
- Components of a great product vision
- Vision and mission
- Customer-Centricity & Market Alignment
Module 3
Market Research & Competitive Analysis
- User Research & Segmentation
- Developing user persona
- Competitive Analysis Frameworks (SWOT & Porter's Five Forces)
- Product Canvas
Module 4
Problem Definition & Ideation
- Design Thinking & Identifying User Pain Points
- Co-Creation & Jobs-To-Be-Done (JTBD) Framework
- Ideation Techniques (Crazy 8 / SCAMPER)
- Pitching Ideas
Module 5
Product Roadmap & Prioritization
- Roadmapping Tools (JIRA)
- OKRs (Objectives & Key Results)
- Backlog Management & Prioritization Frameworks (MoSCoW, RICE)
- Stakeholder Management for PMs
Module 6
Agile & Scrum in Product Management
- Agile (Scrum, Kanban & SAFe) vs. Waterfall
- Agile Manifesto, Roles, and Ceremonies
- Sprint Execution & Backlog Management
- Measuring Team Performance & Building High-Performing Teams
Module 7
MVP (Minimum Viable Product) Development
- Lean Startup Principles & Build-Measure-Learn Cycle
- MVP vs. Prototype vs. Full Product
- Experimentation & Market Validation
- Pivoting
Module 8
Product Development & UX/UI Considerations
- Product Development Lifecycle
- UX/UI Principles and User Journey Mapping
- Wireframing and Usability Testing
- A/B Testing for Design Optimization
Module 9
Go-To-Market Strategy & Product Launch
- Launch Strategies (Soft, Hard, Rolling Launch)
- Key Components of a GTM Plan
- Product Positioning
- Marketing Strategies
Module 10
Change Management
- Managing Internal & External Resistance to Product Changes
- Overcoming Organizational Resistance
- Change Management Frameworks (Kotter’s 8-Step Model, ADKAR Model)
- Strategy for Change Management
Module 11
Product Analytics & Metrics
- Key Product Success Metrics (AARRR, North Star)
- Measuring Business Success: ROI, LTV, CAC, Retention
- Data-Driven Decision-Making
Module 12
Post-Launch & Continuous Product Improvement / CAPSTONE Presentation
- Post-Launch Product Management
- Collecting and Analyzing Customer Feedback (Feedback Loop)
- Data-Driven Product Optimization
- Capstone Project Presentation
Certificate from top coding school
Get certified by Constructor Academy, one of the world's top coding academies. Share your certificate on social networks, CVs and more. Boost your career with the new skills that you gained.
Financing options
At Constructor Academy, we believe that finances should never be a barrier to accessing the education and training that can help individuals achieve their goals. That's why we offer a variety of financing options to make our courses more accessible to a diverse range of students. We also work with external organizations that provide financial assistance to those in need.
Upcoming events
Attend one of our events. Discover our upcoming workshops, info sessions, final presentations and webinars on trending topics.
Are NPUs the future? Showcasing local AI on mobile workstations using CPU, GPU and NPU capabilities
04. Apr 25, 04:00 PM - 05:30 PM GMT+2 
Online via ZoomHow will NPUs shape the future of mobile AI? Our student team tackled this question head-on, conducting in-depth performance comparisons of CPUs, GPUs, and NPUs on Z by HP mobile workstations. We focused on a practical application: leveraging Large Language Models (LLMs) and Retrieval Augmented Generation (RAG) for efficient document interaction. We'll be sharing our findings on processing speed and energy efficiency, offering a real-world look at the capabilities of these processing units. This session is a platform to celebrate student innovation and conversation about the possibilities of local AI. Join us to explore the future of computing!
Info session
15. Apr 25, 06:00 PM - 07:00 PM GMT+2 Online via ZoomLooking to advance your tech career? Find a course that helps you gain real-world experience, build a strong portfolio, and stand out to employers. Join us on April 15, from 6–7 p.m. for a live info session. You’ll learn how to gain in-demand skills like JavaScript, Python, and DevOps, and how to create a killer go-to-market strategy in our Product Development course. We’ll introduce you to our Data Science, Full-Stack, Frontend, Backend, and short courses—including Mastering Generative AI. We’ll walk you through the curriculum, career support, and admissions process—everything you need to take the next step. Register now to secure your spot.
Developing a New Digital Product Feature
16. Apr 25, 06:00 PM - 07:00 PM GMT+2 Online via ZoomJoin us on April 16 from 6–7 PM for an insightful webinar on developing a new digital product feature. We will guide you through the key steps of product innovation, including user engagement strategies, design thinking, agile development, change management, and measuring success with product metrics. Learn how to effectively build and implement new features while ensuring seamless adoption and continuous improvement. The session will conclude with a live Q&A, providing expert insights on turning ideas into successful digital innovations. Don't miss this opportunity to enhance your product development skills and stay ahead in the evolving tech landscape.
Final Project Presentations of our Full-Stack and Data Science Students
06. May 25, 04:00 PM - 06:00 PM GMT+2 Lintheschergasse 7, 8001 Zürich or onlineJoin us for the final project presentations, where our students showcase their innovative solutions in data science, full-stack development, Python, and generative AI. This is your chance to see their creativity and technical skills in action as they present real-world projects. Whether you're a tech enthusiast, recruiter, or just curious, don’t miss this opportunity to connect, get inspired, and celebrate their achievements!
Application process and prerequisites
Apply to the program hereInformative call with Constructor Academy (optional)
Pay a deposit to secure your spot
Start learning! 😊
FAQs
Are any technical skills required?
No, this course is about strategies, innovation mindset, leadership skills, and agile delivery capabilities. These topics don’t need any specific technical skills.
Is there an interview selection for this course?
No, as long as you have a strong interest in learning how to develop a great product this course is for you.
How does Constructor Academy's curriculum differ from self-paced training?
Our teaching methods deliver value far beyond what you could get out of a self-paced course. The constant interaction and mentorship of teachers and teaching assistants is what determines the efficacy and quality of our didactical method.
Who is This Course For?
✅ Aspiring Product Managers & Entrepreneurs looking to build and launch products. ✅ Current Product Owners & Agile Professionals who want to improve their skills ✅ Business & Engineering Students seeking hands-on training in digital and agile product development. ✅ Tech & Business Professionals aiming to transition into product management roles.
Which outcomes can I expect from this course?
By the end of this course, students will: ✅Develop a strategic product vision aligned with market needs and business objectives. ✅Master agile product development methodologies and iterative execution. ✅Leverage AI and data-driven analytics for market research, UX testing, and feature prioritization. ✅Create effective go-to-market (GTM) and change management strategies for successful product launches. ✅Enhance leadership, stakeholder management, and cross-functional collaboration skills.
What is done in the Capstone Project?
Students will pitch a product idea from vision to post-launch iteration, incorporating concepts from all 6 weeks of learning. Deliverables: • Product Vision • Roadmap • MVP Prototype • GTM Strategy • Post-Launch Optimization Plan
Your instructors
Céline Dedenis
Instructor
Céline is a strategic leader with 18+ years of experience in private banking and consulting, specializing in digital transformation and product development. She has successfully led high-impact projects across Asia, the U.S., and Europe, focusing on enhancing user experience and operational efficiency. With expertise in agile methodologies, stakeholder engagement, and change management, she helps teams build innovative, client-centric products. Passionate about problem-solving and cross-functional collaboration, she brings a global perspective and hands-on experience to guide professionals in developing and launching impactful products.
Dr. Ekaterina Butyugina
Data Science Program Manager & Instructor
Ekaterina studied mathematics at university and worked as Junior Researcher in Russia where she did her PhD in Continuum Mechanics. Looking for the opportunity to find something close to science but more dynamic and applicable to real life, she joined the Data Science program, then stayed on as a TA and later joined the team as a Data Science Consultant. She likes to work with data and apply both analytical and creative approaches, trying new techniques and sharing them with other people.
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