Executive Program In Product Management
Job Assistance
For Pro Plan
06-months
Duration
Online / Offline
Delivery Mode
English
Language
Beginner to Intermediate
Level
200+ Placed
Live Training
1:1 Mentorship
EMI Available
Everything You Get in This Course
Industry-Focused Projects
- 5+ real-world projects
- Python • Machine Learning • Tableau
- Build job-ready portfolios
- Hands-on problem solving
- Practical exposure to industry scenarios
Career & Placement Support
- Resume & LinkedIn profile building
- Job placement assistance
- Mock interviews & interview prep
- Career guidance from experts
- Opportunities to showcase your skills
Live Instructor-Led Training
- Live interactive sessions
- Weekday & Weekend batches
- Recorded sessions for revision
- 24×7 mentor support
- Doubt-solving & guided learning
Hands-On Learning
- Practical hands-on projects
- Real-world case studies
- Data-driven problem solving
- Industry-relevant assignments
- Learn by doing approach
Certification & Recognition
- Industry-recognized certification
- Proof of skill & course completion
- Shareable digital certificate
- Adds value to your resume
- Valid for career growth
Peer Learning & Networking
- Peer-to-peer learning environment
- Collaborate on projects
- Community discussions & support
- Networking with like-minded learners
- Knowledge sharing sessions
Capstone Project & Mentorship
- Final capstone project
- Apply all learned concepts
- Guided by industry mentors
- Real business problem solving
- Career-focused project experience
Master these Tools
Course Curriculum
1.Understanding Product Management and PDLC
- PM Basics – Roles, Responsibilities & Career Path
- PDLC Overview – Stages & Iterative Development
- Success Factors – Why Products Succeed or Fail
- Case Study – Career Transitions & Instagram’s Journey
2.Building the Foundational Skills
-
Structured & Creative Thinking
- Structured Thinking – Logical Frameworks for Problem-Solving
- Creative Thinking – Innovative Approaches to Ideation
-
First Principles & Higher Order Thinking
- First Principles Thinking – Breaking Down Problems
- 5 Whys Technique – Root Cause Analysis
- Challenges in Application – Overcoming Biases
-
Case Study
- SpaceX & Elon Musk’s Vision – SpaceX
-
Data-Driven Decision Making
- Data Types & Collection – Key Methods & Techniques
- System Thinking – System 1 vs. System 2
- A/B Testing & Models – Kano & RICE Frameworks
-
Case Study
- Airbnb – Airbnb & Dropbox’s Approach
- Dropbox
-
Problem Solving & User Understanding
- Identifying User Needs – Effective Problem-Solving
- User Research Tools – Empathy Maps & Personas
- User Stories & Testing – Validating Solutions
-
Case Study
- Indian Railways – Double Diamond UX
-
User-Centric Product Management
- Prioritizing User Needs – Building for Impact
- User Research Tools – Gathering Key Insights
-
Case Study
- Grocery Delivery & Health Apps
3.Identifying Opportunities and Creating Strategies
- Disruptive Ideation & Market Trends
- Disruptive Ideation – Challenging the Status Quo
- User Needs Understanding – Core User Problems
- User Personas – Creating Target User Profiles
- Market Trends – Leveraging Insights for Innovation
- Competitive & Strategic Analysis
- Porter’s Forces – Analyzing Industry Attractiveness
- Advantages & Limitations – Strengths & Weaknesses of the Framework
- PESTLE Analysis – Macro Environmental Factors
- Case Study
- Jio’s Strategy – A Generative AI for Insights
- Generative User Research
- Understanding User Research – Exploring User Needs
- Types of Research – Qualitative & Quantitative Approaches
- Research Methods – Interviews, Surveys & Experiments
- Case Study
- Instagram Research – PM Interactions, User Interviews & Information Architecture
- Strategic Thinking & Risk Management
- Strategic Thinking – Vision, Mission & Market Analysis
- Customer-Centric Approach – Driving Innovation & Differentiation
- Risk Management – Mitigating Potential Business Risks
- Case Study
- Netflix & Google’s Project Loon
- Product Strategy & Market Positioning
- Product Strategy – Defining Product Development Approaches
- Types & Components – Key Elements & Practical Examples
- Alternate Strategy – Exploring Different Approaches
- Business Strategy & Product Vision
- Business Strategy Overview – Aligning with Product Vision
- Porter’s Five Forces – Crafting a Competitive Edge
- Strategic Framing – Using Lean Model Canvas
- Case Study
- Amazon & Tesla – Business Strategies
4.Defining the Product Requirements
-
Product Requirement Document (PRD) & OKRs
- PRD Overview – Key Components & Importance
- PRD Usage – Aligning Business Goals with Development
- OKRs – Types, Lifecycle & Goal Setting
-
Types, Lifecycle & Goal Setting
- Structured Problem-Solving – Design Thinking Approach
- User Journey Mapping – Process & Types
- Use Cases – Differentiating User Journeys & Flows
-
Requirements Gathering & Design Process
- Requirements Overview – Functional & Non-Functional Needs
- Requirement Gathering – Techniques for Effective Management
- Design Process – Wireframes, Mockups & Design Sprints
-
Metrics, Market Analysis & Long-Term Thinking
- Metrics & Frameworks – HEART & Other Key Metrics
- Long-Term Thinking – 5W1H Approach for Sustainability
- Market Analysis – Trends, Lifecycle Planning & Growth
5.MVP Scoping
-
Product Prioritization & Feature Selection
- Aligning Features with Business Goals – Strategic Prioritization
- Feature Significance – Enhancing Value & User Satisfaction
- RICE & Kano Models – Assessing Impact & User Needs
- MOSCOW Method – Prioritization Framework with Case Studies
-
Case Study
- Local Food Delivery App
-
Kano Model & Product-Market Fit
- Kano Model Overview – Purpose & Importance in Prioritization
- Feature Categories – Understanding the Five Kano Types
- Understanding the Five Kano Types – Evaluating Fit via User Feedback
-
Case Study
- Netflix’s Success with Innovation & Content
6.Executing the Product Building
-
Development Methodologies & Product Process
- Agile, Waterfall, Lean & Kanban – Pros & Cons
- Product Development Process – From Idea to Go-To-Market
- Stakeholder Management – Effective Meetings & Collaboration
-
User Research & Testing
- User Research – Interviews & Usability Testing
- A/B Testing – Process, Best Practices & Case Studies
- Practical Application – Research Plans & Product Growth
7.B2B Product and Sale
-
B2B Product Development
- Scalable Solutions – Building for Growth & Efficiency
- Quality Assurance – Ensuring Reliability & Performance
- Cross-Team Collaboration – Aligning Teams for Success
-
Case Studies & Best Practices
- Freseworks, TCS, Zoho – Learning from Industry Leaders
- Atlassian, Tally, Slack – Product Strategies & Execution
-
Metrics & Performance Management
- BB Data & Dashboarding – Tracking Success with Key Metrics
- Product Evaluation – Measuring Impact & Optimization
8.Analytics
-
Telemetry & Dashboarding
- Overview of Telemetry – Tracking & Monitoring User Behavior
- Dashboard Setup – Key Metrics & Visualization
- Monitoring & Optimization – Enhancing Product Performance
-
Case Study & Best Practices
- Spotify & Netflix – Leveraging Telemetry for Engagement
- Recommendation Optimization – Data-Driven Personalization
-
Diagnostics & Solutions
- Identifying Product Issues – Root Cause Analysis
- Implementing Solutions – Data-Backed Decision Making
- Performance Monitoring – Iterative Improvements
9.Growth
-
Product-Led Growth
- Core Principles & Strategies – Driving Growth Through Product Design
- Data-Driven Growth – Aligning Teams for Scalable Success
-
Case Study
- Real-World Applications in Growth Strategies
-
Go-To-Market (GTM) Strategy
- Market Research & Pricing – Understanding Market Dynamics
- Customer Acquisition – Strategies for Sustainable Growth
- Metrics & Tools – Tracking Success & Optimization
-
Case Study: Slack’s GTM Strategy
- Growth Tactics – How Slack Scaled Efficiently
- User Acquisition & Retention – Lessons from a Successful Launch
10.ΑΙ
- Generative AI Overview
- AI in Product Management – Importance & Applications
- Prompt Engineering – Enhancing AI Interactions
- Creativity Tools – Leveraging AI for Ideation & Innovation
- AI Productivity Tools
- ChatGPT & GitHub Copilot – Boosting Efficiency for PMs
- AI-Driven Decision Making – Enhancing Workflow & Insights
11.Capstone Project
-
Project Development & Execution
- Capstone Project – Hands-on Experience for Aspiring PMs
- End-to-End Guidance – From Ideation to Execution
-
Health Product Creation
- Target Audience – Tier 1 / Metro Citizens
- Product Strategy – Building for Urban Health Needs
Perfect For Data Science Career Starters
College
Students
Build projects for campus
placements.
Career
Switchers
No coding experience
needed – start from basics.
Working Professionals
Weekend batches so you can
up-skill while working.
Fresh
Graduates
Job‐ready in 8 months with a
strong portfolio.
Why Start2Skill Data Science > Others
Start2Skill
TOPIC 01
Live mentors with 1:1 guidance from 5+ years industry experts
TOPIC 02
Hands-on real projects with practical, job-ready skills
TOPIC 03
Dedicated placement help with structured interview preparation
TOPIC 04
Flexible batches (weekends + online) with job guarantee
VS
Mentorship
Real Projects
Career Support
Flexibility & Assurance
Others
TOPIC 01
Live mentors with 1:1 guidance from 5+ years industry experts
TOPIC 02
Recorded videos with limited or no real-world projects
TOPIC 03
Generic resume templates, no placement support
TOPIC 04
Fixed schedules with no job guarantee
Meet Your Experts Instructors
Ashutosh Sharma
Start2Skill
Senior Data Science Instructor, 10+
Years of Industry Experience
Rishu Raj Verma
Microsoft
Senior Data Scientist
Bhawana aggarwal
Accenture
Application Development Team
Lead
Get certified by Start2Skill
Earn industry-backed
Recognition and Career Opportunities
Industry-Endorsed Certificate
Get certified upon course completion with a recognized
credential, validating your skills in Data Science andBusiness Intelligence.
Strong Peer Network
Become part of a thriving community of learners and
professionals from top companies.
Recognized Across Industries
Our certification is trusted by hiring managers across
domains—ideal for career switchers and freshers alike.
What Student Say
"The program gave me the confidence and skills to switch my career into Data Analytics. The mentorship and mock interviews really helped me crack my first job with a 6 LPA package."
Rohit SharmaData Analyst 
"I had no prior coding background, but the course made concepts simple and easy to understand. The placement support was excellent, and I landed multiple interview opportunities."
Priya NairBusiness Analyst Intern at Deloitte 
"The hands-on projects in Excel, SQL, and Power BI prepared me for real-world challenges. By the end of the course, I had a strong portfolio to showcase to employers."
Arjun MehtaGraduate Student 
"The placement assurance policy gave me peace of mind. Within three interviews, I got selected as a Data Analyst. I couldn’t have asked for a better start to my career."
Simran KaurFresher Placed at Infosys 
"Coming from a non-technical background, I was nervous about analytics. But the step-by-step curriculum and industry mentors made the transition smooth and rewarding."
Karan VermaCareer Switcher 
"The combination of live sessions, self-paced learning, and mentor feedback made the program flexible yet impactful. The visualization skills I gained are highly valued in my job."
Sneha IyerData Visualization Analyst 
"What stood out for me was the career preparation. The mock interviews, resume workshops, and one-on-one mentor sessions gave me an edge in placements."
Ankit GuptaBusiness Analyst Trainee 
"I joined while pursuing my graduation. The flexible schedule allowed me to learn without affecting my studies. Now I feel fully job-ready before even completing my degree."
Ritika SinghFinal Year Student 
"The best part of the program is the ongoing access to course material. Even after completing, I still revisit modules to strengthen my knowledge."
Neha KapoorPlaced at Accenture 
How You'll Learn" 4-Step Journey
Talk to a Program
Advisor
Book a free 1:1 counselling call
Enroll in the Right
Course
Get a plan matched to your goals & level.
Learn with Live + Hands-on Projects
Attend live classes and build r
Get Career Guidance & Placement Support
Resume, interviews & job referrals.
Frequently Asked Questions
Who are these courses for?”
These courses are designed for:
Students and freshers who want job-ready skills
Working professionals looking to upskill or switch careers
Freelancers who want to offer services confidently
Business owners who want to understand and manage digital work
No prior experience is required for beginner tracks—advanced tracks may expect basic familiarity.
Do you provide placement support?
Yes, we provide placement support such as:
Resume + portfolio review
Interview preparation (mock interviews + common questions)
Job/internship guidance and referral support (where available)
LinkedIn profile optimization
Note: Placement depends on your performance, attendance, project quality, and market conditions. We support you through the process, but we don’t guarantee jobs.
What is the duration and schedule?
Duration and schedule vary by course, but typically:
Course duration: 4–12 weeks (depending on course level)
Class frequency: 3–5 sessions per week
Session length: 60–120 minutes per class
Weekend batches: Available for working professionals
After enrollment, you’ll receive the full batch calendar and timeline.
Are classes online or offline?
We offer online classes (live instructor-led) and offline classes (at our center), depending on your chosen batch and location.
Some courses may also be available in hybrid mode (offline + recorded support).