Post Graduate Program in Project Management

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Key Highlights

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Project Management
What is Project?
What is Program?
What is Portfolio?
Detail of PMP Exam

Role of PM with respect to Industry I Disciplines I Project I Organization

Develop Project Charter
Develop Project Management Plan
Direct and Manage Project Work
Manage Project Knowledge
Monitor and Control Project Work
Perform Integrated Change Control
Close Project
Collect Requirements
Define Scope
Create WBS
Validate Scope
Control Scope
Plan Schedule Management
Define Activities
Sequence Activities
Estimate Activity Duration
Develop Schedule
Control Schedule
Plan Cost Management
Estimate Costs
Determine Budget
Control Costs
Plan Quality Management
Manage Quality
Control Quality
Plan Resource Management
Estimate Activity Resources
Acquired Resources
Develop Team
Manage Team
Control Resources
Plan Communications Management
Manage Communications
Monitor Communications
Plan Risk Management
Identify Risks
Perform Qualitative Risk Analysis
Perform Quantitative Risk Analysis
Plan Risk Responses
Implement Risk Responses Monitor Risks
Plan Procurement Management
Conduct Procurements
Control Procurements
Identify Stakeholders
Plan Stakeholder Engagement
Manage Stakeholder Engagement
MonitorStakeholder Engagement
Agile Scrum Master
This will cover introduction to Agile
Agile Mindset
Agile Manifesto and 12 principal on which Agile is based-on
This will also cover other Agile Framework
This will cover introduction to Scrum Process Flow
Scrum Framework
Scrum values
Scrum Roles & Responsiblities
Common Artifacts like Product Backlog
This will cover introduction will cover Product Incremental
Sprint Planning Sprint Execution
Daily Scrum
Sprint Review Meeting
Retrospective Meeting
Burndown charts
This will cover introduction will cover Agile Framework
Scrum for complex projects and options for Scaled Agile
Certified Lean Six Sigma Green Belt
Basics and History of Six sigma
Need of Six sigma tool to any Industry
Six Sigma & organizational Level Hierarchies, Business targets
DMAIC overview and Lean principles, Calculations of six sigma levels
Diference between Lean & six sigma

Define Phase overview How to identify the project as Six sigma Green Belt Project
Voice of Customer Determine CTQ Develop project charter Process mapping –
SIPOC , COPIS , Flow chart applications DPMO Calculations and Exercise on Sigma
Levels Calculation COPQ calculations One Case study on Define phase

Measure phase Overview
Data Types
Basics on Probability and statistics definitions
Population and sampling
Data collection Plan
Gemba Audit
Measurement system Analysis basics
Process capability Indices and calculations on Cp , Cpk
One case Study on Measure Phase
Analyse Phase overview
Data Analysis
Histogram , Box Plot , Project Examples
Root Cause Analysis -Cause and effect diagram , Why Why Analysis (5 Whys)
Hypothesis testing, Basics on each tool applications
Minitab oriented case study on Hypothesis testing
(a) One sample T test (b) Two sample T test
Improve Phase overview
Generating creative solution ideas concepts
Lean Tools application while selecting solutions
FMEA Concept
Basics on Design of Experiments
Case study on Improve phase
Control Phase overview
Statistical Process Control (SPC)
Control Charts and different types of charts and applications
Applications of Lean tools in control phase
Standardization , Horizontal Deployment concept
Control Plan , Work instructions
Case study on Control Phase
Customer Centric Digital Transformation
Digital revolution History
The stages of Digital Maturity
Critical factors to consider
Strategic planning in Digital technology
Challenges in driving digital transformation
Importance of Digital transformation in Industries
Introduction to RPA
Difference between RPA and other tools
Benefits of RPA
Identify opportunities for Automation
Process Re engineering concepts
Best Practices at Enterprise Level
Case study on RPA in industrial oriented

Robotic Process Automation

Cloud and Devops

Digital Marketing and other digital concept

Case study related to Digital transformation different applications industries

Capstone Projects

Capstone Projects


On completion of the Post Graduate Program Certification in Project Management, aspirants will receive an Industry-endorsed Certificate along with Internship Certificate.




Master in computer science



M.Tech (power electronics), MBA-HR, PhD in power quality improvement


M.B.A(Marketing & Finance )

Program Fees

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INR 25,000

*18% GST Extra


USD $600

Our Faculty

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Dinesh Babu R

UrbanPro Excellence Award winner in Data Science Professional
CBAP Certified Professional
Senior Business Analyst in the MNC, Part time, Providing Business Analysis as well as Data Analysis training to both Indian as well as overseas students.
Qualification: P.hd in Data Analysis, MBA (Finance & Operation), B.Tech

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Ganesh Bhure (Management LDP Program, B.Tech/B.E. (Electronics and Telecommunication))

11yrs into training. Working on various training assignments onPython, Machine Learning, Data Analytics, Artificial Intelligence, Docker and Kubernetes, Leadership and Product Management.

Software professional with 16+yrs of experience. Handled innovation strategic roles, Technical Consultant, Technical Manager, Project Lead, Product Development, Project Management, BusinessAnalysis, Technical Design, Python, C, C++, Docker, Kubernetes, Scale Testing, Product Benchmarking, Data Analytics, Machine Learning, Artificial Intelligence, Data Science.

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Suryanarayana Murthy (MCA, B.Sc (Electronics))

9.5 Years IT Experience in Big Data Hadoop and PERL as a Developer.
5.5 Years of comprehensive experience as Big Data Developer, Practical exposure and strong knowledge in Big Data management

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Boddu Lingaiah (M.Tech (CS), B.Tech (CS))

5+ Year teaching experience in Full Stack Web Development.

Boddu Lingaiah has over 10+ Years of experience as Master Trainer at Edunet Foundation & worked as IT Faculty at KL University and Jain University.
Studied M.Tech at SKEC Karepalli as well as worked as Assistant Professior for 1.3 Year.

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Abhishek Srivastava (M.Tech (CS), MCA)

IIT Kanpur Certified Data Science Trainer
Teaching experience in Data science, Machine Learning, Deep Learning, Artificial Intelligence
Data Science Trainer with 5+ Years of experience executing Data Driven solution to increase effeciency, accuracy and utility of internal data processing. Experinced to give training on regression models, using predective data modeling and analysing Data scienceAlgorithm to deliver insights and implement action- oriented to business problems.


  • Introduction to Linux
  • Root
  • Basic commands
  • Editors
  • OS installation
  • Basic system configuration and administration
  • Understanding files and directories
  • Schedulers
  • User administration
  • Software installation