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Sage 50 Course

Acquire a solid grasp of SAGE 50 Software concepts led by experts. You will learn practical skills to manage this accounting software. You will also learn to manage finances, generate reports, and control inventory. Our course is designed to equip you to manage core accounting functions using industry-standard SAGE 50 software. You will also receive practical training sessions to gain real-world experience. Take a smart step toward a smooth career with our SAGE 50 Accounts course.

No Cost EMI

Online Fees

Starts at Rs.999

Duration

16 Hrs

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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 SAGE 50 Course

Course Snapshot

Hours of Learning
16 +
Industry Projects
1 +
GenAI Tools
1 +

Finprov’s SAGE 50 course is the perfect choice for anyone who is looking for a rewarding career in handling this accounting software. You will learn the Installation of Sage 50, creating a new company, creating and customizing the chart of accounts, adding inventory with opening balances, the purchase module, sales module, creating finished goods using bill of materials, and extracting closing reports in Sage 50 in detail. Classes are taught by experienced instructors who bring real-world experience to every session.  

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Why Choose The SAGE 50 Accounts Course?

Learn practical Sage 50 accounting skills that you can apply immediately in your job. Get step-by-step guidance from experienced industry professionals who share real-world knowledge to help you confidently manage accounts and succeed in your accounting career.

Key Highlights of SAGE 50 Course

What does this course have to offer?

Our curriculum covers in-demand industry relevant topics

Start learning SAGE 50 from the basics with our easy course. You will learn how to perform daily accounting and office tasks step by step, helping you feel confident at work from day one.

Build your confidence in SAGE 50 accounting with this comprehensive course. Whether you are a beginner or an experienced one, this program will guide you step by step on how to use the software in practical, everyday work.

Get ready to master SAGE 50 and tackle real-world accounting with ease! Learn practical skills that employers love, boost your confidence, and kickstart a secure, rewarding career in accounting.

Students must have completed their plus two or any degree to be eligible for this course.

Step into the World of SAGE 50 Accounting

Step confidently into the world of SAGE 50 Accounting, where you’ll learn hands-on skills, master every feature, and manage business accounts like a true professional!

Key Highlights of SAGE 50 Course

Earn valuable with SAGE 50 Certification

Becoming certified in SAGE 50 software can advance your professional career. It will improve the appearance of your resume and make you fit for landing a job.

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Courses

Meet Our Experts

Connect with professional experts who will guide and support you, helping you grow your skills and reach your highest career potential.

taniya

CA Taniya Mathew

Academic Head - Kerala

anish sir

CA Anish Thomas

Academic Head - Karnataka

World-Class Curriculum

Master SAGE 50 with a World-Class Curriculum

Learn SAGE 50 the smart way with guidance from experts. Get hands-on practice, handle real office tasks confidently, and step into your job ready to thrive.

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:

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:

What you'll learn

Skills you'll gain

What you'll learn

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What you'll learn

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What you'll learn

Skills you'll gain

What you'll learn

Skills you'll gain

What you'll learn

Skills you'll gain

What you'll learn

Skills you'll gain

What you'll learn

Skills you'll gain

What you'll learn

Skills you'll gain

What you'll learn

Skills you'll gain

What you'll learn

Skills you'll gain

What you'll learn

Skills you'll gain

What you'll learn

Skills you'll gain

What you'll learn

Skills you'll gain

What you'll learn

Skills you'll gain

Instructors

abin 1

Abin Varghese

Chief technology officer

Amal - digital marketing trainer 3

Abdulla Amal

Digital Marketing Trainer

sreejith

Sreejith T

Digital Marketing Trainer

SAGE 50 Course Highlights

Skills you'll acquire

Software Installation Mastery

Company Setup Skills

Chart Customization Knowledge

Inventory Management Techniques

Purchase Management Skills

Sales Management Skills

Manufacturing Accounting Skills

Report Extraction Proficiency

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 an SAGE 50 Software Expert

Boost your confidence with SAGE 50 by taking our easy online course. You’ll learn all the essentials to advance your accounting career.

FAQ

Frequently Asked Questions

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

What topics are covered in the SAGE 50 Accounting course by Finprov?

The course covers installation of SAGE 50, creating a new company, creating and customizing the Chart of Accounts, adding inventory with Opening Balances, Purchase Returns, Sales Returns, Extracting Closing Reports in Sage 50, and more.

No, you do not need prior accounting knowledge. The course is designed for beginners as it teaches both accounting concepts and practical SAGE 50 skills.
The course is highly practical. You will work on real-world examples, hands-on exercises, and projects to gain confidence in using SAGE 50 for accounting, inventory, purchase, sales, and manufacturing tasks.
Yes, Finprov issues a recognized certificate upon successful course completion. This certificate can showcase your skills to employers and thereby make you fit for a steady job.
Learning SAGE 50 equips you with essential accounting and finance skills, including managing accounts, inventory, purchases, sales, and reporting. This course will be an asset to your professional career goals.

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Download a detailed syllabus with course information, key topics, module breakdowns, assessment criteria,  and more.

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