✔ Fully Practical, Lab-Based Training

Code daily in real development environments and work with Jupyter, VS Code, and virtual environments.

✔ Beginner-Friendly to Advanced

Start with fundamental syntax and progress to OOP, advanced libraries, web frameworks, and ML toolkits.

✔ Real-Time Projects

Build web apps, automation scripts, REST APIs, data pipelines, and machine learning models for portfolio projects.

✔ Industry-Standard Curriculum

Course content aligned with industry needs — Python for backend, data analytics, ML, automation, and cloud.

✔ Essential for Modern IT Careers

Python is a core skill for Data Science, AI, Web Development, DevOps, Cloud Engineering, and Automation roles.

✔ Become a Confident Python Developer

Master syntax, libraries, and best practices for writing clean, efficient Python code.

✔ Web & API Development Skills

Hands-on with Flask/Django, RESTful APIs, authentication, and database integration.

✔ Data Science & ML Ready

Learn NumPy, Pandas, Matplotlib, Scikit-Learn, and basic model building & evaluation.

✔ Automation & Scripting Expertise

Automate file handling, web scraping, task scheduling, and system scripts for productivity.

✔ Cloud & DevOps Friendly

Use Python to build serverless functions, automation scripts for AWS/Azure, and CI/CD tooling.

✔ High Demand & Lucrative Roles

Python professionals earn competitive salaries and have wide freelance and remote opportunities.

✔ Lifetime Support

Recorded sessions, code repositories, practice exercises, and career support included.

1. Is Python difficult for beginners?

No. Python has a simple, readable syntax. We start from the basics and move step-by-step with plenty of hands-on practice.

2. Do I need prior programming knowledge?

No prior coding experience required. We cover everything from fundamentals to advanced topics.

3. Will I get certification?

Yes — you will receive a Python Course Completion Certificate upon successful completion.

4. Which tools & IDEs will I use?

Jupyter Notebook, VS Code, PyCharm (optional), Git, Docker for deployment labs.

5. Are practical labs included?

Absolutely. Every class includes coding exercises and project tasks on live machines.

6. Do you provide placement support?

Yes. We offer resume building, mock interviews, portfolio review, and job referrals.

✔ Total Duration: 3–4 Months

Comprehensive coverage from basics to advanced projects with real-world implementation.

✔ Batch Options:

• Weekday Classes

• Weekend Classes

• Fast-Track Intensive Batches

✔ Daily Sessions:

1.5–2 hours (lecture + hands-on coding + Q&A)