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Key Highlights

  • Real-world automation-driven use cases with Python
  • Dual-language delivery (English + Hindi) to support learners from all backgrounds
  • Live trainer-led sessions with structured labs and project support
  • Developed in alignment with NASSCOM FutureSkills and industry demand
  • Focused on data scripting, workflow automation, and analytics prototyping

About Program

Duration and Learning Hours

The program is structured to be completed in 6 months (110 days | 24 weeks), offering a balanced mix of live mentorship, self-paced learning, and applied practice.

  • Live Instructor-Led Training (ILT): 60 hours of interactive sessions guided by expert mentors.

  • Self-Paced Learning: 40 hours of structured exercises, labs, and assignments.

  • Delivery Mode: 100% Online ILT for flexibility with structured guidance.

Project-Based Learning

  • Lab Access: Hands-on practice via Python/JupyterHub and cloud-based automation simulators.

  • Assessment Type: Combination of MCQs, assignments, and final project evaluation to test both conceptual and applied knowledge.

Academic Load and Credits

  • Credits: 10 academic credits aligned with NCrF Level 6.

  • Compliance: Fully compliant with NEP 2020 and aligned with National Occupational Standards (NOS).

Language of Instruction

Language of Instruction: English / Hindi.

Who Should Enroll?
  • Network administrators and system engineers
  • Cybersecurity professionals aiming to upgrade to offensive security
  • IT graduates with basic knowledge of TCP/IP and systems
  • Professionals preparing for CEH, CCNA Security, and similar certifications

Course Curriculum

Modules designed to meet current industry standards.

01

Python Basics, Data Types, Flow Control, Functions, Error Handling

02

File I/O, CSV/Excel Automation, OS/Time/Date Operations

03

NumPy, Pandas, Visualization, Data Automation

04

Web Scraping, API Automation, JSON/XML Integration

05

Mini Project & Capstone – Automate Reporting or Data Collection Task

What You’ll Learn

Essential Skills & Tools for Leading Projects in the Digital Age

Core Skills
  • Python programming fundamentals with object-oriented programming
  • Data preprocessing and file handling automation
  • Automation with APIs, JSON, Excel, and system schedulers
  • Working with Pandas, NumPy, and Matplotlib
  • Automation scripting for real-life workflows (e.g., reports, dashboards, web scraping)
  • Introductory machine learning for automation use cases
Tools & Frameworks You’ll Master
  • Python 3.x, JupyterHub, Anaconda
  • Pandas, NumPy, Seaborn, Matplotlib
  • JSON, Requests, OS, Sys
  • Excel automation with openpyxl
  • Automation project environments and simulators
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Executive Certification in Network Security & Ethical Hacking
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Need to know more?

Get to know the course in depth by downloading the course brochure
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Executive Certification in Network Security & Ethical Hacking
more

Need to know more?

Get to know the course in depth by downloading the course brochure
Download Brochure

Real People. Real Results​

Real stories of career growth, skill mastery, and success after MSM Grad programs.

30% Salary Hike

Ritika P.

Manufacturing Operations Analyst

I spent the majority of the day updating Excel trackers and cleaning CSV files. I was able to replace that with a Python script that combines vendor files, verifies columns, and sends out a summary via a scheduler each morning thanks to the Jupyter labs and detailed exercises. It’s not fancy, but it reduces manual errors and saves 6 to 8 hours per week. Clear functions, logging, and edge cases were the main topics of the trainer’s feedback—habits I still employ.

40% Salary Hike

Aman G.

Marketing Operations Lead (D2C)

I joined in order to stop campaign numbers from being copied and pasted.” I now pull platform metrics with requests, clean them up in Pandas, and automatically publish a daily report because the API and JSON modules worked for me. The script uses a straightforward scheduler, and the Matplotlib graphics are straightforward. Small victories were prioritized in the course, followed by a capstone project that brought everything together. I can automate the tasks that were previously slowing us down, but I’m not a “data scientist.
25% Salary Hike

Shreya N.

B.Com. final-year student (Automation Track)

The dual-language delivery helped ease my programming anxiety; I followed the Hindi sessions when the topics became complex.” By the middle of the course, I had a functional tool that flags discrepancies from Excel exports and reconciles invoices. I was forced by the capstone to gracefully handle common errors and document the steps on GitHub. I was able to demonstrate a straightforward, dependable script rather than merely discussing one, which helped me land an internship as a “automation executive.

25% Salary Hike

Meera K.

Fresh CS Graduate → Junior Python/Automation

The applied focus—file handling → APIs → Pandas → a small ML baseline—was what I found most appealing. I used an API to gather open data for my capstone, cleaned it, created a weekly report, and set it up to run with logs and notifications. I can explain every component and make it better, but it’s not enterprise-grade. I gained credibility from the NASSCOM-aligned curriculum, and I used my GitHub portfolio as a talking point during interviews.

Real People. Real Results​

Real stories of career growth, skill mastery, and success after MSM Grad programs.

30% Salary Hike

Ritika P.

Manufacturing Operations Analyst

I spent the majority of the day updating Excel trackers and cleaning CSV files. I was able to replace that with a Python script that combines vendor files, verifies columns, and sends out a summary via a scheduler each morning thanks to the Jupyter labs and detailed exercises. It’s not fancy, but it reduces manual errors and saves 6 to 8 hours per week. Clear functions, logging, and edge cases were the main topics of the trainer’s feedback—habits I still employ.

40% Salary Hike

Aman G.

Marketing Operations Lead (D2C)

I joined in order to stop campaign numbers from being copied and pasted.” I now pull platform metrics with requests, clean them up in Pandas, and automatically publish a daily report because the API and JSON modules worked for me. The script uses a straightforward scheduler, and the Matplotlib graphics are straightforward. Small victories were prioritized in the course, followed by a capstone project that brought everything together. I can automate the tasks that were previously slowing us down, but I’m not a “data scientist.
25% Salary Hike

Shreya N.

B.Com. final-year student (Automation Track)

The dual-language delivery helped ease my programming anxiety; I followed the Hindi sessions when the topics became complex.” By the middle of the course, I had a functional tool that flags discrepancies from Excel exports and reconciles invoices. I was forced by the capstone to gracefully handle common errors and document the steps on GitHub. I was able to demonstrate a straightforward, dependable script rather than merely discussing one, which helped me land an internship as a “automation executive.

25% Salary Hike

Meera K.

Fresh CS Graduate → Junior Python/Automation

The applied focus—file handling → APIs → Pandas → a small ML baseline—was what I found most appealing. I used an API to gather open data for my capstone, cleaned it, created a weekly report, and set it up to run with logs and notifications. I can explain every component and make it better, but it’s not enterprise-grade. I gained credibility from the NASSCOM-aligned curriculum, and I used my GitHub portfolio as a talking point during interviews.

Designed for Ambitious Professionals

Roles Offered
  • Python Developer (Automation Focus)
  • Data Analyst (Python Scripting)
  • Automation Executive / Workflow Engineer
  • Data Science Intern (Beginner Level)
  • MIS/Data Operator (Python-based)
Salary Growth Potential
30- 60% Average Hike
Post Course Completion
Top Salary Bracket

₹4–8 LPA (for freshers & early career professionals)

₹10–14 LPA (with additional automation/analytics certifications)

Top Hiring Companies

Designed for Ambitious Professionals

Roles Offered
  • Python Developer (Automation Focus)
  • Data Analyst (Python Scripting)
  • Automation Executive / Workflow Engineer
  • Data Science Intern (Beginner Level)
  • MIS/Data Operator (Python-based)
Salary Growth Potential
30- 60% Average Hike
Post Course Completion
Top Salary Bracket

₹4–8 LPA (for freshers & early career professionals)

₹10–14 LPA (with additional automation/analytics certifications)

Top Hiring Companies

You Asked, We Answered

Is this program suitable for non-engineering students?

Yes. It is designed for all graduates with basic interest in programming.

Can I take this course in Hindi?

Yes. Select batches offer bilingual delivery (English + Hindi explanations).

Do I need to install tools?

No. Cloud-based simulators and JupyterHub environments are provided.

Will I get job support?

Yes. Learners will be guided on applying for entry-level automation roles and further certification paths.

What makes this course different?

Focus on real-world, low-code automation use cases using Python, suitable for functional as well as technical learners.

Ready to Deep Dive into the Future of AI?

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