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CyberSecurity Awareness & Data Privacy Program

Learn how to stay safe at work before cyber risks cause real problems! This Cybersecurity Awareness & Data Privacy corporate training program helps employees understand how everyday actions like emails, passwords, file sharing, and online access can impact company and customer data. Instead of technical language, the program focuses on real work situations and simple safety practices. Designed for employees across departments, it builds awareness, responsibility, and safer digital habits at work!

No Cost EMI

Start Date

Starts at Rs. 6,458

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Choose Your Perfect Course

Advanced Generative AI Certification Course

Master the skills that shape the future of technology with the Advanced Certificate Program in Generative AI, a 5-month generative AI course by upGrad.

No Cost EMI

Starts at Rs. 6,458

Start Date

Starts at Rs. 6,458

Duration

4 Months

Introduction to Cybersecurity Awareness & Data Privacy Program

Program Snapshot

Hours of Learning

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Industry Projects

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GenAI Tools

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Build confidence at work by understanding cybersecurity and data privacy! Finprov’s Cybersecurity Awareness & Data Privacy program helps employees understand common cyber threats and data protection responsibilities in a clear and simple way. The sessions focus on real office scenarios like phishing emails, unsafe links, weak passwords, and careless data sharing. Learn how to spot unusual activity, avoid common mistakes, and support your team’s security every day. By the end, employees gain confidence and become active protectors of digital safety. Make your workplace cyber-smart with Finprov!

Accelerate Your Workplace Security Awareness!

Build strong digital habits that protect your organisation every day! Understand how small actions can reduce cyber risks and support safer business operations!

Key Highlights of Cybersecurity Awareness & Data Privacy Program

What does this course have to offer?

Our curriculum covers in-demand industry relevant topics

Cyber Risk Awareness
Data Privacy Understanding
Email and Phishing Safety
Password Protection Practices
Safe Internet Behaviour
Workplace Data Handling
Incident Reporting & Response
Safe Cloud & File Sharing Practices

Stay safe in today’s digital workplace! Learn the key cybersecurity and data protection practices every employee needs to protect your company’s data.

Corporate Organisations
Technology-Driven Firms
Startups and Scaling Companies
Product-Based Companies
Financial and Service Firms
Small and Medium Enterprises

This corporate training program is designed for organisations that want employees across departments to understand cybersecurity responsibilities and support data protection in everyday operations!

Start your Cyber Smart Journey Today!

Learn how to stay safe online, protect your data, and make smart choices every time you use the internet. Build habits that keep your digital world secure!

Key Highlights of Generative AI Course

Earn valuable credentials and recognition

Make your portfolio stand apart with an Advanced Certification in Generative AI

Courses

Meet Our Experts

Learn from professionals who understand real workplace cyber risks! Gain guidance from experienced experts who share practical insights and clear security practices relevant to everyday work situations.

CA Anand Kumar

CEO

CA Veena Vijayan

COO

CA Deepa

Business Valuation Expert

CA Shameema Shajahan

Corporate Training Lead- UAE

CA Anish Thomas

Academic Head - Karnataka

World-Class Curriculum

Master Marketing with a World-Class Curriculum

Prepare for a career in the high-growth field of data analytics. In this program, you’ll learn in-demand skills like Python, Excel, and SQL to get job-ready in as little as 4 months.

Duration : 7 Weeks

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This introductory course explores the foundational machine learning concepts, starting with Linear Regression and its practical applications. It then covers Logistic Regression and Naive Bayes, highlighting their use in classification tasks. Finally, the course covers model selection techniques to ensure the best performance of machine learning models in various scenarios.

Topics Covered:

Duration : 7 Weeks

Machine Learning I:

This introductory course explores the foundational machine learning concepts, starting with Linear Regression and its practical applications. It then covers Logistic Regression and Naive Bayes, highlighting their use in classification tasks. Finally, the course covers model selection techniques to ensure the best performance of machine learning models in various scenarios.

Topics Covered:

Duration : 7 Weeks

Machine Learning I:

This introductory course explores the foundational machine learning concepts, starting with Linear Regression and its practical applications. It then covers Logistic Regression and Naive Bayes, highlighting their use in classification tasks. Finally, the course covers model selection techniques to ensure the best performance of machine learning models in various scenarios.

Topics Covered:

Duration : 7 Weeks

Machine Learning I:

This introductory course explores the foundational machine learning concepts, starting with Linear Regression and its practical applications. It then covers Logistic Regression and Naive Bayes, highlighting their use in classification tasks. Finally, the course covers model selection techniques to ensure the best performance of machine learning models in various scenarios.

Topics Covered:

Duration : 7 Weeks

Machine Learning I:

This introductory course explores the foundational machine learning concepts, starting with Linear Regression and its practical applications. It then covers Logistic Regression and Naive Bayes, highlighting their use in classification tasks. Finally, the course covers model selection techniques to ensure the best performance of machine learning models in various scenarios.

Topics Covered:

Duration : 7 Weeks

Machine Learning I:

This introductory course explores the foundational machine learning concepts, starting with Linear Regression and its practical applications. It then covers Logistic Regression and Naive Bayes, highlighting their use in classification tasks. Finally, the course covers model selection techniques to ensure the best performance of machine learning models in various scenarios.

Topics Covered:

Duration : 7 Weeks

Machine Learning I:

This introductory course explores the foundational machine learning concepts, starting with Linear Regression and its practical applications. It then covers Logistic Regression and Naive Bayes, highlighting their use in classification tasks. Finally, the course covers model selection techniques to ensure the best performance of machine learning models in various scenarios.

Topics Covered:

Duration : 7 Weeks

Machine Learning I:

This introductory course explores the foundational machine learning concepts, starting with Linear Regression and its practical applications. It then covers Logistic Regression and Naive Bayes, highlighting their use in classification tasks. Finally, the course covers model selection techniques to ensure the best performance of machine learning models in various scenarios.

Topics Covered:

Cybersecurity Awareness & Data Privacy Program Highlights

Skills you'll acquire

Secure Digital Behaviour

Threat Recognition Awareness

Data Protection Responsibility

Risk Prevention Practices

Privacy Compliance Awareness

Incident Response Awareness

Digital Marketing Course Career Outcomes

What our learners have achieved?

A quick summary of the placement support received by this program’s alumni

32%

Avg. Salary Hike

86%

Learners Achieving their Outcomes

3500+

Successful Transitions

250+

Hiring Partners

Top Recruiters

Digital Marketing Course Eligibility & Admissions

How To Apply

The application journey is simple and straightforward, and can be completed in three easy steps.

Fill the Application Form

Fill out the application form on the upGrad portal

Get Shortlisted

You will receive a shortlisting email based on your profile

Block Your Seat

Secure your seat by paying the course fee

Industry Experts - Digital Marketing and Communications

Learn from Seasoned Industry Practitioners

Become a Responsible Digital Professional!

Learn about various machine learning techniques, their applications and use cases. Furthermore, you will learn about deep learning and understand how it differs from machine learning.

FAQ

Frequently Asked Questions

The application journey is simple and straightforward, and can be completed in three easy steps.

What does this corporate training program cover?

The program covers basic cybersecurity awareness, data privacy concepts, common threats, safe digital practices, and employee responsibilities.

Who should attend this training?

Employees across departments, including operations, finance, sales, administration, and management teams!

Why should organisations invest in this program?

Organisations should invest in this program because it helps reduce cyber risks, increase data protection awareness, and build a strong security culture within teams.

What will employees gain from this training?

Employees could gain a clear understanding of cyber risks, develop safer work habits, and build confidence in handling digital information responsibly.

Is this program technical?

No. The program is non-technical and focuses on awareness, behaviour, and real workplace scenarios!

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