MSME PPDC Bangalore, Bangalore (2026)

22/02/2026

Dear Sir/Madam,

Greetings from the Ministry of MSME, TDC PPDC (Agra)!

Announcement: MSME Technology Development Centre (Process & Product Development Centre), Agra an Autonomous Institute under the Ministry of MSME is organizing an Online Training program on “HR Analytics".

Program Highlights:

Module 1: Analytics Landscape in HR
Module 2: Introduction to HR analytics
Benefits of data driven HR
Module 3: Employee life cycle; Using Analytics for Employees
Module 4 Analytical matrices in HR
Module 5: Types of Analytical Models, reporting tools & Prediction Tools
Examples on HR Analytics
* Case study discussions for recruitment, employee renege & placing the right person at the right place.

Details of the Training Program: HR Analytics
Date: 28th February 2026 & 1st March 2026 (Weekend)
Time: 5:00pm to 9:00pm
Course Fee: ₹2500 per participant (inclusive of GST)

Registration Link: https://rzp.io/rzp/113HRAnalyticsFEB2026

For more details contact:
Contact Person: Sudha Dinakaran, Mr. Rajesh Kumar Palani
Contact No: 6363055419,8073288128,9750747571

Note: After successful completion of the training program: - MSME TDC (PPDC Agra) certificate will be awarded.

सादर अभिवादन/Regards
सुधा दिनाकरन/SUDHA DINAKARAN
एम एस एम ई-टीडीसी - पीपीडीसी /MSME -TDC (PPDC)
ईएफसी - बेंगलुरु/EFC-BANGALORE
: 6363055419
ई-मेल/ *: [email protected]

Head Office:

Process & Product Development Centre
(MSME - Technology Development Centre)
Ministry of M.S.M.E, Government of India Society
Foundry Nagar, Agra - 282006, UP
Visit us: http://www.ppdcagra.dcmsme.gov.in

Don't miss out! Enhance your skills in this training!

11/02/2026

Dear Sir/Madam,

Greetings from the Ministry of MSME, TDC PPDC (Agra)!

Announcement: MSME Technology Development Centre (Process & Product Development Centre), Agra an Autonomous Institute under the Ministry of MSME is organizing an Online Training program on “HR Analytics".

Program Highlights:

Module 1: Analytics Landscape in HR
Module 2: Introduction to HR analytics
Benefits of data driven HR
Module 3: Employee life cycle; Using Analytics for Employees
Module 4 Analytical matrices in HR
Module 5: Types of Analytical Models, reporting tools & Prediction Tools
Examples on HR Analytics
* Case study discussions for recruitment, employee renege & placing the right person at the right place.

Details of the Training Program: HR Analytics
Date: 14th &15th February 2026 (Weekend)
Time: 5:00pm to 9:00pm
Course Fee: ₹2500 per participant (inclusive of GST)

Registration Link: https://rzp.io/rzp/113HRAnalyticsFEB2026

For more details contact:
Contact Person: Sudha Dinakaran, Mr. Rajesh Kumar Palani
Contact No: 6363055419,8073288128,9750747571

Note: After successful completion of the training program: - MSME TDC (PPDC Agra) certificate will be awarded.

सादर अभिवादन/Regards
सुधा दिनाकरन/SUDHA DINAKARAN
एम एस एम ई-टीडीसी - पीपीडीसी /MSME -TDC (PPDC)
ईएफसी - बेंगलुरु/EFC-BANGALORE
☎️: 6363055419
ई-मेल/ *: [email protected]

Head Office:

Process & Product Development Centre
(MSME - Technology Development Centre)
Ministry of M.S.M.E, Government of India Society
Foundry Nagar, Agra - 282006, UP
Visit us: http://www.ppdcagra.dcmsme.gov.in

Don't miss out! Enhance your skills in this training!

09/02/2026

Dear Sir/Madam,

Greetings from the Ministry of MSME, TDC PPDC (Agra)!

Announcement: MSME Technology Development Centre (Process & Product Development Centre), Agra an Autonomous Institute under the Ministry of MSME is organizing an Online Training program on “Mastering Root Cause Analysis with AI for Quality Management Excellence".

Program Highlights:

Mastering Root Cause Analysis with AI for Quality Management Excellence- COURSE CONTENTS:-

1. Introduction to Root Cause Analysis (RCA)
- Understanding the significance of RCA in quality management.
- Overview of common RCA methodologies and approaches.

2. Fundamentals of Problem Identification
- Techniques for identifying quality issues and deviations.
- Importance of proactive problem identification in RCA.

3. Data Collection and Analysis
- Gathering relevant data for effective root cause analysis.
- Utilizing statistical methods and tools for data analysis.

4. Root Cause Identification Techniques
- Introduction to various techniques for identifying root causes.
- Application of fishbone diagrams, 5 Whys, and fault tree analysis.

5. AI Tools for Root Cause Analysis
- Exploring the role of AI in enhancing root cause analysis.
- Introduction to AI-driven analytics and pattern recognition.

6. Integration of Machine Learning in RCA
- Leveraging machine learning algorithms for predictive analysis.
- Applying ML models to identify patterns leading to quality issues.

7. Case Studies: Real-world RCA Examples
- Analyzing actual case studies to understand successful RCA implementations.
- Extracting lessons from diverse industries and scenarios.

8. Collaborative RCA Practices
- Fostering teamwork in root cause analysis processes.
- Implementing collaborative tools and techniques.

9. AI-driven Data Visualization
- Using AI tools for effective data visualization in RCA.
- Enhancing insights through graphical representations.

10. Implementing Sustainable Corrective Actions
- Designing and implementing corrective actions based on identified root causes.
- Ensuring the sustainability of corrective measures.

11. Continuous Improvement through RCA
- Establishing a culture of continuous improvement through RCA.
- Iterative refinement of RCA processes based on feedback and results.

12. AI-Powered Predictive RCA
- Exploring advanced AI models for predicting and preventing quality issues.
- Developing strategies for proactive quality management.

13. Ethical Considerations in AI-driven RCA
- Addressing ethical concerns and biases in AI-based root cause analysis.
- Ensuring fair and responsible use of AI tools.

14. Challenges and Best Practices in AI-driven RCA
- Identifying common challenges and best practices in implementing AI tools.
- Strategies for overcoming obstacles and optimizing RCA processes

Details of the Training Program: Mastering Root Cause Analysis with AI for Quality Management Excellence

DATES: 14th & 15th February 2026 (Weekend)
DURATION: 02 Days
TIME: 6:00 PM - 9:00 PM
Course Fee: ₹2000 per participant (inclusive of GST)

For registration and online payment (click link below)
https://rzp.io/rzp/113MASTERINGRCAFEB2026

Note: After successful completion of the training program:- MSME TDC (PPDC Agra) certificate will be awarded.

For more details contact:
Contact Person: Sudha Dinakaran, Mr. Rajesh Kumar Palani,
Contact No : 6363055419,8073288128,9750747571

सादर अभिवादन/Regards
सुधा दिनाकरन/SUDHA DINAKARAN
एम एस एम ई-टीडीसी - पीपीडीसी /MSME -TDC (PPDC)
ईएफसी - बेंगलुरु/EFC-BANGALORE
☎️: 6363055419
ई-मेल/ *: [email protected]

Head Office:

Process & Product Development Centre
(MSME - Technology Development Centre)
Ministry of M.S.M.E, Government of India Society
Foundry Nagar, Agra - 282006, UP
Visit us: http://www.ppdcagra.dcmsme.gov.in

Don't miss out! Enhance your skills in this training!

08/11/2025

Dear Sir/Madam,

Greetings from the Ministry of MSME, TDC PPDC (Agra)!

Announcement: MSME Technology Development Centre (Process & Product Development Centre), Agra an Autonomous Institute under the Ministry of MSME is organizing an Online Training program on “Data Analytics & Machine learning".

Data Analytics & Machine learning COURSE CONTENTS:-

Introduction to AI, ML, Data Science
What is AI? What is Data Science? What is Machine learning? Key Data Science Applications, Python
essentials, Population, Sample, Hypothesis, Data importing, data pre-processing, data types, data
visualization, APIs, web scraping, data transformation
Foundations for Machine learning
Overview of Machine Learning, Validations, Feature reduction or dimensionality reduction, Principal
Component Analysis, Distance measures, feature selection, introduction to classification
Algorithmic Overview
Decision Trees, Random forest, Support vector machine, neural networks, logistic regression, Naïve
bayes and advanced algorithms
Big Data and Azure Machine learning
Introduction to Big Data, Challenges of Big Data and Use cases, Programming frameworks

Details of the Training Program: Data Analytics & Machine learning

Duration: 3 Days
Dates: 9th,15th & 16th November 2025 (Weekends)
Time: 6:00p.m to 9:00p.m
Program Fee: Rs. 3540/- per candidate
(Inclusive of GST)

For registration and online payment (click link below)
https://rzp.io/rzp/113DATAANALYTICSOCT2025

Note: After successful completion of the training program:- MSME TDC (PPDC Agra) certificate will be awarded.

For more details contact:
Contact Person: Sudha Dinakaran, Mr. Rajesh Kumar Palani,
Contact No : 6363055419,8073288128,9750747571

सादर अभिवादन/Regards
सुधा दिनाकरन/SUDHA DINAKARAN
एम एस एम ई-टीडीसी - पीपीडीसी /MSME -TDC (PPDC)
ईएफसी - बेंगलुरु/EFC-BANGALORE
☎: 6363055419
ई-मेल/ *: [email protected]

Head Office:

Process & Product Development Centre
(MSME - Technology Development Centre)
Ministry of M.S.M.E, Government of India Society
Foundry Nagar, Agra - 282006, UP
Visit us: http://www.ppdcagra.dcmsme.gov.in

Don't miss out! Enhance your skills in this training!

11/09/2025

Dear Sir/Madam,

Greetings from the Ministry of MSME, TDC (PPDC Agra)!!!

Happy to announce that MSME Technology Development Centre (Process & Product Development Centre), Agra an Autonomous Institute under the Ministry of MSME is organizing an Online Training program on "Machine Learning For Beginners".

Machine Learning For Beginners - COURSE CONTENTS:-

Introduction to Machine Learning: What is Machine Learning?-AI vs ML vs Deep Learning-How does Machine Learning work-Types of Machine Learning Supervised Learning Supervised Learning Examples Unsupervised Learning Unsupervised Learning Examples Reinforcement Learning Reinforcement Learning Examples

AI, ML, and Deep Learning Overview: AI vs Machine Learning vs Deep Learning (Comparison)-Examples of AI-Examples of Machine Learning-What is Deep Learning?-Example of Deep Learning

Introduction to Machine Learning Algorithms: Classification Algorithm-Anomaly Detection Algorithm-Clustering Algorithm-Regression Algorithm Demo: Iris Dataset

Mathematics for Machine Learning: Statistics & Probability Basics Categories of Data: Qualitative Data-Quantitative Data What is Statistics? Statistics Terminologies

Sampling Techniques: Random Sampling-Systematic Sampling-Stratified Sampling

Types of Statistics: Descriptive Statistics: Measures of Spread: Information Gain & Entropy

Evaluation Metrics: Confusion Matrix

Probability for Machine Learning: Basics of Probability: Probability Terminologies Types of Events: Probability Distributions: Types of Probability Marginal Probability Joint Probability Conditional Probability Use-Case: Probability Applications Bayes Theorem

Inferential Statistics: Point Estimation-Interval Estimation Margin of Error Hypothesis Testing

Supervised Learning Algorithms: Regression Overview-Linear vs Logistic Regression-Linear Regression Algorithm-Logistic Regression Curve Use-Case: Titanic Data Analysis

Decision Trees: What is Classification?-Types of Classification-Decision Tree Algorithm-Decision Tree Terminologies-Entropy in Decision Trees Use-Case: Credit Risk Detection

Random Forest: Random Forest Overview-Random Forest Use-Cases-Random Forest Algorithm

k-Nearest Neighbors (KNN): KNN Algorithm-How KNN Works-Demo: KNN on Dataset

Naïve Bayes: Naïve Bayes Overview-Working of Naïve Bayes-Industrial Use-Cases-Types of Naïve Bayes-Steps in Naïve Bayes Use-Case: PIMA Diabetes Test

Support Vector Machines (SVM): SVM Overview-Non-Linear SVM-Use-Case of SVM

Unsupervised Learning Algorithms Clustering & Association Rule Mining Overview

Clustering: Types of Clustering-K-Means Clustering-Working of K-Means-Pros & Cons Demo: K-Means Hierarchical Clustering

Association Rule Mining: Association Rule Mining Basics- Apriori Algorithm
Demo: Apriori Algorithm

Reinforcement Learning: Introduction to Reinforcement Learning-Example: Counter-Strike-Markov Decision Process (MDP)-Q-Learning-The Bellman Equation-Transitioning to Q-Learning-Implementing Q-Learning

Details of the Training Program: Machine Learning For Beginners

Duration: 4 Days
Dates: 13th,14th, 20th & 21st September 2025 (Weekends)
Time: 5pm to 7:30 pm
Programme Fee: Rs. 2360/-(Inclusive of gst)

For registration and online payment https://pages.razorpay.com/113MLAUGUST2025

Note: After successful completion of the training program:- MSME TDC (PPDC Agra) certificate will be awarded.

For more details contact:
Contact Person: Sudha Dinakaran, Mr. Rajesh Kumar Palani,
Contact No : 6363055419,8073288128,9750747571

सादर अभिवादन/Regards

सुधा दिनाकरन/SUDHA DINAKARAN
एम एस एम ई-टीडीसी - पीपीडीसी /MSME -TDC (PPDC)
ईएफसी - बेंगलुरु/EFC-BANGALORE
: 6363055419
ई-मेल/ *: [email protected]

Head Office:

Process & Product Development Centre
(MSME - Technology Development Centre)
Ministry of M.S.M.E, Government of India Society
Foundry Nagar, Agra - 282006, UP
Visit us: http://www.ppdcagra.dcmsme.gov.in

Don't miss out! Enhance your skills in this training!

03/09/2025

Dear Sir/Madam,

Greetings from the Ministry of MSME, TDC (PPDC Agra) !!!

Happy to announce that MSME Technology Development Centre (Process & Product Development Centre), Agra an Autonomous Institute under the Ministry of MSME is organizing an Online Training program on "ADVANCE POWERPOINT PRESENTATION".

ADVANCE POWERPOINT PRESENTATION
COURSE CONTENTS:-

Basics of powerpoint presentations
Advanced animations and using techniques
Advanced slide designing methods with insertion of images
Methods of preparing videos through PowerPoint presentations
Methods of using transitions
Slideshow presentations settings
Reviewing with helps of add ins
Ai driven powerpoint applications
Macros usage In presentations
Ai driven automations

Training Program: ADVANCE POWERPOINT PRESENTATION

Duration: 2 Days
Dates: 6th & 7th September 2025 (Weekend)
Time: 02:00 PM to 5:00 PM
Programme Fee: Rs. 2000/- (Inclusive of gst)

For registration and online payment (click link below)
https://rzp.io/rzp/113POWERPOINTAUGUST25

Note: After successful completion of the training program:- MSME TDC (PPDC Agra) certificate will be awarded.

For more details contact:
Contact Person: Sudha Dinakaran, Mr. Rajesh Kumar Palani,
Contact No :Contact No : 6363055419,8073288128,9750747571

धन्यवाद एवं सादर/Thanks & Regards

सुधा दिनाकरन/SUDHA DINAKARAN
एम एस एम ई-टीडीसी - पीपीडीसी /MSME -TDC (PPDC)
ईएफसी - बेंगलुरु/EFC-BANGALORE
: 6363055419
ई-मेल/ *: [email protected]

Head Office:

Process & Product Development Centre
(MSME - Technology Development Centre)
Ministry of M.S.M.E, Government of India Society
Foundry Nagar, Agra - 282006, UP
Visit us: http://www.ppdcagra.dcmsme.gov.in

Don't miss out! Enhance your skills in this training!

03/09/2025

Dear Sir/Madam,

Greetings from the Ministry of MSME, TDC (PPDC Agra)!!!

Happy to announce that MSME Technology Development Centre (Process & Product Development Centre), Agra an Autonomous Institute under the Ministry of MSME is organizing an Online Training program on "Accounting and Financial Management with Excel: A Primer to Tally".

Accounting and Financial Management with Excel: A Primer to Tally - COURSE CONTENTS:-

Session 1-2: Introduction to Accounting and Excel Basics (2 hours)
Overview of accounting principles
Introduction to Excel for financial calculations
Setting up an Excel spreadsheet for basic bookkeeping
Creating and formatting financial statements in Excel

Session 3-4: Bookkeeping in Excel (2 hours)
Double-entry accounting in Excel
Managing accounts payable and receivable
Creating and maintaining a general ledger
Generating trial balance and financial reports

Session 5-6: Financial Analysis in Excel (2 hours)
Ratio analysis and financial performance metrics
Cash flow analysis using Excel
Budgeting and forecasting techniques
Excel functions for financial analysis (NPV, IRR)

Session 7-8: Introduction to Tally (2 hours)
Overview of Tally and its features
Installing and setting up Tally software
Transitioning from Excel to Tally for bookkeeping
Data entry and navigation in Tally

Session 9-10: Advanced Tally Functions for Financial Management (2 hours)
Advanced data entry in Tally
Generating financial statements in Tally
VAT and GST compliance in Tally
Customizing reports and dashboards

Session 11: Integration of Excel with Tally (1 hour)
Importing and exporting data between Excel and Tally
Using Excel for data analysis alongside Tally
Enhancing financial reporting with Excel-Tally integration

Session 12: Real-world Application and Project Showcase (1 hour)
Applying accounting principles in Tally
Group project: Participants work on a practical accounting scenario
Q&A session and discussion on practical implementation challenges

Details of the Training Program: Accounting and Financial Management with Excel: A Primer to Tally

Duration: 4 Days (12 Hours)
Dates: 7th,13th,14th & 20th September 2025(Weekends)
Time: 5:00p.m to 8:00p.m
Programme Fee: Rs. 2500/-(Inclusive of gst)

For registration and online payment (click link below)
https://rzp.io/rzp/113ACCFINAAUGUST25

Note: After successful completion of the training program:- MSME TDC (PPDC Agra) certificate will be awarded.

For more details contact:
Contact Person: Sudha Dinakaran, Mr. Rajesh Kumar Palani,
Contact No : 6363055419,8073288128,9750747571

सादर अभिवादन/Regards

सुधा दिनाकरन/SUDHA DINAKARAN
एम एस एम ई-टीडीसी - पीपीडीसी /MSME -TDC (PPDC)
ईएफसी - बेंगलुरु/EFC-BANGALORE
: 6363055419
ई-मेल/ *: [email protected]

Head Office:

Process & Product Development Centre
(MSME - Technology Development Centre)
Ministry of M.S.M.E, Government of India Society
Foundry Nagar, Agra - 282006, UP
Visit us: http://www.ppdcagra.dcmsme.gov.in

Don't miss out! Enhance your skills in this training!

MSME PPDC Bangalore

22/02/2026

11/02/2026

09/02/2026

08/11/2025

11/09/2025

03/09/2025

03/09/2025

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