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Executive Professional Certification Program in Product Management

4,826 Ratings

  • Gain expertise in product lifecycle management, market analysis, agile methodologies, and user experience design
  • Master the latest tools and techniques with hands-on projects and real-world case studies.
  • Learn product management from IIT faculty & industry experts.
  • Get Certification in Product Management from IIT Indore DRISHTI CPS (Technology Innovation Hub of IIT Indore).
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Learning Format

Online Bootcamp

Live Classes

6 Months

Campus Immersion

IIT Indore

IIT Indore DRISHTI CPS

Certification

500+

Hiring Partners

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About Program

This course, in collaboration with IIT Indore DRISHTI CPS (Technology Innovation Hub of IIT Indore), will help you become part of the next generation of product management professionals. It covers topics like product lifecycle, product vision, strategy, research, and more.

Key Highlights

140 Hrs of Applied Learning
40+ Live Sessions Across 6 Months
Master Classes from IIT Faculty
IIT Indore DRISHTI CPS Certification
Case Studies and Projects
One-on-One with Industry Mentors
Career Services by Intellipaat
24/7 Support
Designed for Working Professionals and Freshers
Soft Skills Essential Training
Resume Preparation and LinkedIn Profile Review
1:1 Mock Interview
No-Cost EMI Option
Regular Sessions: Conducted on Saturdays Practice Sessions: Held on Sundays

About IIT Indore DRISHTI CPS

IIT Indore is the eighth IIT established in 2009 in India. IIT Indore DRISHTI CPS Foundation is a Technology Innovation Hub (TIH) setup at IIT Indore under the aegis of National Mission on Interdisciplinary Cyber-Physical Systems (NM-ICPS) with a focus on System Simulation, Modelling & Visualisation.

Achievements

  • Ranked 14th among engineering colleges in India in 2023 – NIRF
  • Won Global Best M-GOV Awards gold medal with their blockchain receipt app “Blockbill in 2023.
  • IIT Indore ranked 201 globally and 2nd in India in Computer Science in 2022
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Career Transition

55% Average Salary Hike

$1,30,000 Highest Salary

12000+ Career Transitions

300+ Hiring Partners

Career Transition Handbook

*Past record is no guarantee of future job prospects

Who Can Apply for the Product Management Course?

  • Individuals with a bachelor’s degree and a keen interest in learning product management
  • Freshers who aspire to build their careers in the field of product management
  • Developers, designers, and product specialists
  • IT professionals looking for a career transition to product managers
  • Professionals aiming to move ahead in their IT career
  • Marketing professionals looking to learn product management
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What Roles Can a Product Management Professional Play?

Product Owner

Product owners are a part of the agile product management team that consists of both a product manager and a product owner. A product owner supports the development team in solving the issues specific to the product.

Growth Product Manager

Growth product managers work on a group of products and are involved in research, strategy, development, and people management—all aiming at driving the future growth of the products.

Technical Product Manager

Technical product managers have a strong technical background and are responsible for managing the end-to-end routine activities of product management. They work mainly with the engineering team.

Product Manager

Product managers are responsible for overseeing the individual sections in the product management process, such as development, design, etc. They do not need to have a strong technical background as technical product managers.

Chief Product Officer

Chief product officers (CPOs) drive the entire product team—starting from the development team to product managers and design to execution.

Product Engineer

Product engineers design the products and also manage the manufacturing process for them. They coordinate with the product development team and take care of the design strategy.

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Skills to Master

Product Design

Product Planning

Market Research and Strategy

Data Cleaning

Data Analytics

Stakeholder Management

Prototyping

Product Experimentation

Artificial Intelligence

Machine Learning

Usability Testing

Agile Development

Pricing Strategy

User Retention

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Tools to Master

Jira Trello Asana Google-Analytics Mixpanel Figma Sketch InVision Aha Confluence hotjar mind miro optimizely
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Meet Your Mentors

Product Management Training Curriculum

Live Course

Prerequisite Sessions

Excel Fundamentals

  • Reading the Data, Referencing in formulas , Name Range, Logical
  • Functions, Conditional Formatting, Advanced Validation, Dynamic Tables in Excel, Sorting and Filtering
  • Working with Charts in Excel, Pivot Table, Dashboards, Data And File Security
  • VBA Macros, Ranges and Worksheet in VBA
  • IF conditions, loops, Debugging, etc.

Excel For Data Analytics

  • Handling Text Data, Splitting, combining, data imputation on text data, Working with Dates in Excel, Data Conversion, Handling Missing Values, Data Cleaning, Working with Tables in Excel, etc.

Data Visualization with Excel

  • Charts, Pie charts, Scatter and bubble charts
  • Bar charts, Column charts, Line charts, Maps
  • Multiples: A set of charts with the same axes, Matrices, Cards, Tiles
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  • Product introduction
  • Installation and System Requirements
  • Applications, Uses, and Examples
  • JIRA core concepts
  • Project Setup
    • Create project categories
    • Create project
    • Project configuration walkthrough
    • Components and versions
  • JIRA Interface Walkthrough

Dashboards

  • Creating, Sharing and Configuring Dashboards
  • Adding Gadgets to Dashboards and Configuring Them
  • Creating, Sharing, and Configuring Filters
  • Subscriptions
  • Searching in Jira (Issue Navigator, Basic Search, and Advanced Search)
  • JQL (Theory and Sample JQLs)
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  • Working With the Design Process and Thinking Method
  • Experiencing the Design Process Tools
  • Examine the Usability Evaluation
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  • Using ChatGPT/Google Forms
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  • Fundamentals of Agile and Lean Development
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  • Google Analytics
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Phase 1: Product Management Fundamentals

  • What is Product Management?
  • Evolution of Product Management Roles
  • Key Skills and Responsibilities
  • Product Management vs. Project Management
  • Product Manager’s Role in Cross-functional Teams
  • Tools for Product Managers: Trello, Asana
  • Case Study: How Product Managers Drive Growth in Tech Startups
  • Best Practices for Product Management
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  • Understanding Product Lifecycle Stages
  • Stages of Product Development: Introduction, Growth, Maturity, Decline
  • Product Strategy Development
  • Product Portfolio Management
  • Product Lifecycle Management Tools: Aha!, Jira
  • Case Study: Netflix’s Product Strategy Evolution
  • Evaluating Product Performance and Metrics
  • Strategic Decisions at Different Lifecycle Stages
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Phase 2: Product Strategy and Value Proposition

  • Understanding Product Features
  • Product Mix and Product Lines
  • Designing Product Features and Specifications
  • Product Line Extensions and Modifications
  • Product Portfolio Management Tools – Overview
  • Case Study: Apple’s Product Line Strategy
  • Evaluating Product Features for Customer Fit
  • Strategic Decisions on Product Lines
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  • Value Creation: Understanding Customer Needs
  • Value Communication Strategies
  • Co-creation with Customers
  • Value Delivery: Traditional vs. Contemporary Models
  • Porter’s Value Chain Analysis
  • Case Study: Porter’s Value Chain: Indraprastha Ice & Cold Storage
  • Measuring Value Delivery Effectiveness
  • Improving Value Delivery Processes
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Phase 3: Competitive Strategies and Innovation

  • What is Strategy? Definitions and Misconceptions
  • Porter’s Generic Strategies: Cost Leadership, Differentiation, Focus
  • Developing Competitive Strategies
  • Core Competency Analysis
  • SWOT Analysis: Strengths, Weaknesses, Opportunities, Threats
  • Strategic Business Units (SBUs) and Their Relevance
  • Tools: SWOT Analysis Template (Excel, Power BI)
  • Case Study: Disney & UTV Strategic Alliance
  • Strategic Planning, Implementation, and Control
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  • What is Disruptive Innovation?
  • Disruptive Innovation Models and Theories
  • Ansoff’s Product Market Expansion Grid
  • Market Opportunity Analysis for Innovative Products
  • Growth Strategies and Strategic Planning Gaps
  • Tools: Ansoff Grid, Innovation Management Software
  • Case Study: ideaForge’s Disruptive Innovation in Drones
  • Managing Status Quo in Disruptive Innovation
  • Evaluating Impact of Disruptive Innovations
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Phase 4: Product Development and Market Orientation

  • Overview of the NPD Process
  • Identifying Customer Needs and Market Research
  • Product Planning and Feature Definition
  • Concept Generation, Screening, and Testing
  • Tools: MindMeister, Conceptboard
  • Case Study: Tesla’s Product Development Strategy
  • Product Launch Strategies
  • Measuring NPD Success and Iteration
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  • Definitions and Differences Between MVP and MDP
  • Benefits of MVP and MDP Approaches
  • Designing MVP and MDP
  • Tools: Leanstack, Figma for Prototyping
  • Case Study: Dropbox MVP Success Story
  • Gathering Feedback and Iterating on MVP
  • Transitioning from MVP to MDP
  • Measuring MVP and MDP Success
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  • Market Segmentation and Target Market Selection
  • Developing Buyer Personas, Tools: Make My Persona
  • Product Positioning and Messaging
  • Competitor Analysis and Market Positioning
  • Tools: SPSS for Competitor Analysis
  • Case Study: Switz Food’s Competitor Strategy
  • Adapting Product Strategy Based on Market Insights
  • Monitoring and Adjusting to Competitor Moves
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Phase 5: Go-to-Market Strategy and Sales

  • Components of a GTM Strategy
  • Steps to Develop and Execute a GTM Plan
  • Product Launch Management
  • Tools: Airtable for GTM Planning
  • Case Study: Slack’s GTM Strategy
  • Best Practices for a Successful Product Launch
  • Managing Post-Launch Activities
  • Measuring GTM Effectiveness
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  • Sales Strategy Development
  • Types of Sales Strategies: Direct, Channel, Indirect
  • Managing Sales Force and Compensation Models
  • Tools: Salesforce for CRM and Sales Management
  • Case Study: HubSpot’s Sales Strategy
  • Sales Force Training and Motivation
  • Analyzing Sales Performance Metrics
  • Aligning Sales and Product Management
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Phase 6: Branding, Positioning, and Communication

  • Key Elements of Product Positioning
  • Developing Brand Identity and Brand Equity
  • Creating Brand Positioning Statements
  • Understanding Branding Basics
  • Comparing Marketing, Advertising, and Branding
  • Analyzing Successful Brands and Their Characteristics
  • Exploring Consumer Marketing, Psychology, and Buying Behavior
  • Evaluating Brand Architecture and Portfolio Management
  • Developing Brand Planning and Strategy
  • Assessing the Evolution and Current Status of Ad Agencies
  • Applying Brand Management Strategies
  • Measuring and Evaluating Brand Performance
  • Designing Rebranding Strategies and Brand Evolution
  • Tools: Perceptual Mapping in Excel
  • Case Study: Launch of Pleasure Scooter
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  • Integrated Marketing Communication (IMC) Strategies
  • Effective Advertising Techniques
  • Communication Models and Platforms
  • Tools: Google Ads, Social Media Analytics
  • Case Study: Burger King’s Mouldy Burger Ad Campaign
  • Role of Value Networks and Channels
  • Managing Marketing Communications
  • Measuring Communication Effectiveness
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Phase 7: Pricing Strategies

  • Principles of Pricing Strategy
  • Pricing Models and Strategies: Cost-Based, Value-Based, Competition-Based
  • Behavioral Pricing and Psychological Pricing
  • Tools: Pricing Model Templates in Excel
  • Case Study: Amazon’s Dynamic Pricing Strategy
  • Participative Pricing and Reference Pricing
  • Price and Non-Price Competition
  • Responding to Competitive Price Changes
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Phase 8: Product Analytics

  • Fundamentals of Product Analytics
  • Key Metrics and KPIs in Product Analytics
  • Tools: Mixpanel, Google Analytics
  • Case Study: Airbnb’s Data-Driven Product Decisions
  • Role of Data in Product Decision Making
  • Characteristics of High-Quality Analytics
  • Solving Product Management Problems with Analytics
  • Setting Analytics Objectives and Hypotheses
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  • Stages of the Product Analytics Process
  • Designing Analytics for Product Management
  • Exploratory, Descriptive, and Causal Analytics
  • Case Study: Using Analytics for Product Optimization
  • Direct and Indirect Exploratory Methods
  • Role of Observation Methods in Product Management
  • Creating Effective Analytics Reports
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  • Measurement and Scaling Techniques
  • Discrete vs. Continuous Measurement Scales
  • Reliability and Validity of Measurement Scales
  • Tools: SurveyMonkey, Typeform for Data Collection
  • Case Study: Survey Analysis for Product Insights
  • Designing and Piloting Questionnaires
  • Evaluating and Interpreting Data
  • Setting and Tracking Analytics Goals
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Phase 9: Advanced Data Analytics for Product Development

  • Data Preparation Techniques
  • Handling Missing Values and Imputation
  • Data Coding and Entry Best Practices
  • Case Study: Chic-Chicken Hypothesis Testing
  • Organizing Data for Analysis
  • Secondary Data Analytics Techniques
  • Survey Data Analysis
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  • Introduction to Descriptive Analytics
  • Importance of Descriptive Statistics in Product Management
  • What is Correlation Analysis
  • Hypothesis Testing and Types of Errors in Testing
  • Testing Approach: The P-Value/Significance Method
  • Introduction to Predictive Analytics
  • Difference Between Descriptive and Predictive Analysis
  • Regression Models and Predictive Indicators
  • Creating and Testing Predictive Models
  • Tools: SPSS, Excel for Regression Analysis
  • Case Study: Predicting Product Success with Regression
  • Multiple Regression Analysis
  • Dummy Variable Regression
  • Evaluating Model Accuracy and Assumptions
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Phase 10: Consumer Behavior Analysis

  • Importance of Analyzing Consumer Behavior
  • Factors Affecting Consumer Behavior
  • Using Factor Analysis for Customer Research
  • Tools: SPSS for Factor and Cluster Analysis
  • Case Study: Understanding Consumer Segments with Data
  • Principle Component Analysis and Factor Rotation
  • Cluster Analysis for Customer Segmentation
  • Analyzing and Interpreting Customer Preferences
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  • Introduction to Digital Analytics
  • Web Analytics and User Behavior Tracking
  • Conducting A/B Testing and Experiments
  • Tools: Google Analytics, Optimizely
  • Case Study: A/B Testing for Optimal User Engagement
  • Implementing and Analyzing Basket Analysis
  • User Journey Analysis and Funnel Analysis
  • Leveraging Digital Data for Product Improvements
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Phase 11: Agile and Lean Development

  • Agile Development Overview
  • Scrum Framework: Roles, Artifacts, Events
  • Kanban Method: Principles and Practices
  • Tools: Jira, Trello for Agile Project Management
  • Case Study: Microsoft’s Agile Practices
  • Agile Metrics: Velocity, Burndown Charts
  • Implementing Agile in Different Environments
  • Challenges and Solutions in Agile Development
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  • Principles of Lean Thinking
  • Lean Startup Methodology: Build-Measure-Learn
  • Metrics and Continuous Improvement
  • Tools: KanbanFlow, LeanKit
  • Case Study: Lean at Toyota: Revolutionizing Product Development
  • Value Stream Mapping
  • Identifying and Eliminating Waste
  • Scaling Lean Practices Across Teams
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Phase 12: Design Thinking and Product Prototyping

  • Stages of Design Thinking: Empathize, Define, Ideate, Prototype, Test
  • Techniques for Each Stage
  • Tools: Figma for Prototyping
  • Case Study: IdeaForge – Mechanical Charger
  • Empathy Mapping and User Research
  • Ideation Techniques and Brainstorming
  • Creating and Testing Prototypes
  • Iterative Design and Feedback Loops
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  • Effective Storytelling in Design Thinking
  • Communication Strategies for Innovation
  • Tools for Creative Communication: Miro, MURAL
  • Case Study: SoaPen’s Innovation Communication
  • Facilitating Workshops and Idea Sessions
  • Presenting Ideas to Stakeholders
  • Handling Feedback and Revising Prototypes
  • Best Practices for Communicating Design Innovations
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  • What is Product Prototyping?
  • Need for Prototyping
  • Types of Prototypes: Low-Fidelity, Mid-Fidelity, High-Fidelity
  • Prototyping Tools and Techniques
  • Tools: Balsamiq, Figma for Prototyping
  • Case Study: Prototyping at Google Ventures
  • Rapid Prototyping Techniques
  • User Testing and Iteration
  • Prototyping for Different Stages of Product Development
  • Evaluating and Refining Prototypes Based on User Feedback
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Phase 13: Product Roadmaps and Prioritization

  • Elements of a Product Roadmap
  • Roadmap Planning and Prioritization Techniques
  • Tools: Aha!, Roadmunk
  • Case Study: Product Roadmaps in Spotify
  • Roadmap Communication and Stakeholder Management
  • Managing Roadmap Changes and Updates
  • Aligning Roadmap with Strategic Goals
  • Best Practices for Effective Roadmapping
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Phase 14: Product Leadership and Team Building

  • Leadership Qualities for Product Managers
  • Building and Leading Cross-Functional Teams
  • Conflict Resolution and Team Dynamics
  • Tools for Leadership and Team Management
  • Case Study: Leading Product Teams at Atlassian
  • Motivating and Mentoring Team Members
  • Setting Team Goals and Objectives
  • Performance Management and Feedback
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Phase 15: Specialized Topics and Trends in Product Management

  • Ethical Considerations in Product Development
  • Navigating Ethical Challenges and Dilemmas
  • Tools for Ethical Decision Making
  • Case Study: Facebook and the Cambridge Analytica Scandal
  • Building Ethical Guidelines and Frameworks
  • Managing Public Relations and Ethical Issues
  • Legal and Regulatory Compliance
  • Promoting Ethical Culture in Product Teams
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  • Principles of Sustainable Product Design
  • Strategies for Green Product Development
  • Tools for Assessing Product Sustainability
  • Case Study: Tesla’s Sustainability Strategy
  • Measuring Environmental Impact
  • Integrating Sustainability into Product Lifecycle
  • Communicating Sustainability Efforts to Stakeholders
  • Addressing Challenges in Sustainable Development
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  • Role of Big Data and AI in Product Management
  • Leveraging Data for Strategic Decision-Making
  • Case Study: Data-Driven Strategy at Netflix
  • Implementing AI and Machine Learning in Products
  • Data Privacy and Security Concerns
  • Predictive Analytics for Product Planning
  • Managing Data Quality and Integrity
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Phase 16: Generative AI in Product Management: Foundations, Applications, and Integration

  • What is Artificial Intelligence?
  • Machine Learning and Deep Learning
  • What is Generative AI?
  • Types of Generative AI Models
  • Training and Evaluation of Generative AI Models
  • Transfer Learning and Pre-trained Models
  • Advanced Generative AI Models – GANs
  • GAN Architecture and Advanced Training Techniques
  • What is Prompt Engineering?
  • Prompt Engineering example and Its Role
  • Role of Prompts in AI-powered Product Tools – Chatbots, Virtual Assistants
  • Prompt Engineering for Customer Insights – Tools: ChatGPT, Gemini
  • AI-driven Decision Making and Prompt Tuning – Tools: Figma with AI Plugin
  • Automating Product Workflows with Generative AI
  • Generative AI in Competitive Analysis and Market Insights
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  • Prompt Engineering and Model Fine-Tuning
  • Introduction to Generative AI Creativity Tools
  • Integrating Generative and Discriminative Models
  • Ethical Considerations in Generative AI
  • Introduction to AI-powered Product Management
  • Working with Generative AI for Market Research
  • Working with Generative AI for Product Roadmaps
  • Working with Generative AI for Productivity
  • Working with Generative AI for Data Analytics
  • Working with Generative AI for Customer Engagement
  • Working with Generative AI for User Experience
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Phase 17: Final Projects

  • Defining Project Scope and Objectives
  • Conducting Market and User Research
  • Developing Initial Product Concept
  • Tools: Project Planning in Airtable, Trello
  • Case Study: Real-world Application Project from a Selected Industry
  • Establishing Project Milestones and Timelines
  • Resource Allocation and Budgeting
  • Initial Prototype Development and Feedback
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  • Executing Product Development Strategy
  • Iterating Based on Feedback and Data
  • Tools: Product Analytics (Mixpanel)
  • Finalizing Product Features and Specifications
  • Conducting Usability Testing
  • Preparing for Product Launch
  • Gathering and Analyzing User Feedback
  • Continuous Improvement and Iteration
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  • Final Presentation of Product Strategy and Analytics
  • Developing a Comprehensive Report
  • Tools: PowerPoint, Google Slides for Final Reports
  • Case Study: Presentation Strategies and Best Practices
  • Peer Review and Feedback Sessions
  • Evaluating Project Success and Lessons Learned
  • Applying Feedback for Final Refinements
  • Preparing for Real-world Implementation
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  • Commonly Asked Product Management Interview Questions
  • Learn Problem-solving skills
  • Sessions on Improving Communication Skills
  • Stakeholder Management—Meaning and Techniques
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Program Highlights

140 Hrs of Applied Learning
20+ Industry Projects and Case Studies
40+ Live Sessions Across 6 Months
24/7 Support

Projects

Projects will be a part of your Executive Professional Certification Program in Product Management to solidify your learning. They ensure you have real-world experience in Product Management.

Practice 20+ Essential Tools

Designed by Industry Experts

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Career Services By Intellipaat

Career Services
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Placement Assistance
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Exclusive access to Intellipaat’s Job portal
Mock Interview Preparation
One-on-one Career Mentoring Sessions
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Resume and LinkedIn Profile-building
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Admission Details

The application process consists of three simple steps. An offer of admission will be made to selected candidates based on the feedback from the interview panel. The selected candidates will be notified over email and phone, and they can block their seats through the payment of the admission fee.

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Tell us a bit about yourself and why you want to join this program

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Application Review

An admission panel will shortlist candidates based on their application

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Admission

Selected candidates will be notified within 1–2 weeks

Program Fee

Total Admission Fee

$ 1,930

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Upcoming Application Deadline 23rd Nov 2024

Admissions are closed once the requisite number of participants enroll for the upcoming cohort. Apply early to secure your seat.

Program Cohorts

Next Cohorts

Date Time Batch Type
Program Induction 23rd Nov 2024 08:00 PM - 11:00 PM IST Weekend (Sat-Sun)
Regular Classes 23rd Nov 2024 08:00 PM - 11:00 PM IST Weekend (Sat-Sun)

Frequently Asked Questions

What can I expect from this Advanced Certification in Product Management program?

This Advanced Certification in Product Management course has been designed by top experts in the field with a deep understanding of industry requirements. The course covers various projects and assignments that will assist you in becoming job-ready and taking on challenging roles within the product management industry.

This Advanced Certification in Product Management course offers numerous benefits. It provides in-depth knowledge of product management principles, strategies, and best practices through a comprehensive curriculum. Additionally, the course offers practical hands-on experience through real-world projects, industry insights from expert instructors, and valuable networking opportunities with fellow learners. By enrolling in this course, you can gain the skills and confidence needed to excel in the dynamic field of product management.

Advanced Certification in Product Management offers a wide range of job opportunities, including product manager, product owner, product marketing manager, and strategic product planner. These roles exist in various industries and companies of all sizes. With the increasing demand for skilled product managers, the field provides promising career prospects and growth potential. There are 25,000+ job opportunities for professionals in India alone and over 260,000 job opportunities in the USA.

Upon completing this Advanced Certification in Product Management, you unlock a wide range of career opportunities. As a certified product manager, you can pursue roles such as product manager, product strategist, product marketing manager, or even start your own product-oriented ventures. The scope extends across various industries, including technology, e-commerce, healthcare, finance, and more. You will be equipped to lead product development, drive innovation, and contribute to the success and growth of organizations.

The average salary for professionals in product management roles varies based on experience and industry. Generally, entry-level positions start from ₹6,00,000 per annum, while mid-level positions can range from ₹10,00,000 to ₹18,00,000 per annum. Senior roles, such as Senior Product Manager or Head of Product, can command salaries upwards of ₹25,00,000 per annum.

The course covers a wide range of topics, including the product life cycle, growth product management, product vision, strategy, and research, market research, pricing strategies, agile methodologies, user experience design, data analytics, and more. It also includes hands-on projects and case studies to provide practical experience.

The course is taught by experienced faculty from IIT Indore and industry experts with extensive experience in product management. Practitioners from leading companies also provide insights into real-world challenges and best practices.

Intellipaat is renowned for its high-quality product management training courses and industry mentorship. Our alumni have successfully secured positions in esteemed global organizations such as Amazon, Microsoft, Genpact, Sony, Gartner, and more. Additionally, learners gain lifetime access to free upgrades and course materials, providing ongoing support throughout their careers. By enrolling in Intellipaat’s Advanced Certification in Product Management course, you can take advantage of exclusive career guidance, interview preparation, and other valuable benefits.

Upon successful completion, you will receive an Advanced Certification in Product Management from IIT Indore DRISHTI CPS (Technology Innovation Hub of IIT Indore), which is recognized and valued in the industry.

The course is structured into various modules, each focusing on different aspects of product management. It is designed to be completed in 6 months, with a mix of online lectures, interactive workshops, and practical projects.

Intellipaat is offering 24/7 query resolution, and you can raise a ticket with the dedicated support team at any time. You can avail of email support for all your queries. If your query does not get resolved through email, we can also arrange one-on-one sessions with our support team. However, 1:1 session support is provided for a period of 6 months from the start date of your course.

Intellipaat is offering you the most updated, relevant, and high-value real-world projects as part of the training program. This way, you can implement the learning that you have acquired in a real-world industry setup. All training comes with multiple projects that thoroughly test your skills, learning, and practical knowledge, making you completely industry-ready.

Intellipaat actively provides placement assistance to all learners who have successfully completed the training. For this, we are exclusively tied up with over 80 top MNCs from around the world. This way, you can be placed in outstanding organizations such as Sony, Ericsson, TCS, Mu Sigma, Standard Chartered, Cognizant, and Cisco, among other equally great enterprises. We also help you with the job interview and résumé preparation as well.

Yes, Advanced Certification in Product Management is highly valuable. It not only validates your expertise and knowledge in product management but also enhances your credibility in the job market. It demonstrates your commitment to professional growth and can significantly increase your chances of securing rewarding career opportunities in the field.

This Advanced Certification in Product Management course introduces a range of industry-standard tools and platforms used in product management. These may include market research tools like surveys and customer feedback platforms, as well as data analytics software for analyzing product performance and user behavior, project management tools for organizing and tracking tasks, and collaboration platforms for seamless team communication and coordination.

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What is included in this course?

  • Non-biased career guidance
  • Counselling based on your skills and preference
  • No repetitive calls, only as per convenience
  • Rigorous curriculum designed by industry experts
  • Complete this program while you work