Python Bootcamp
Learn Python by building practical scripts, not by memorizing syntax.
Python Bootcamp gives beginners a connected path from variables and control flow to functions, files, APIs and a useful automation mini-project. Across eight live two-hour sessions, practice writing scripts you understand, debug and explain. These foundations also support the scripting and automation work used in DevOps.
First class: Saturday, 3 October 2026
Who This Is For
- ▸ Absolute beginners
- ▸ Students preparing for internships or IT roles
- ▸ DevOps/cloud learners who need Python basics
- ▸ Support engineers who want automation skills
- ▸ Anyone who tried Python before but could not build useful scripts
Readiness and Prerequisites
- ▸ No prior coding experience is required.
- ▸ Practice between live sessions to build confidence with scripts and debugging.
- ▸ A laptop is recommended; confirm the supported local or Colab setup before the first class.
- ▸ This is a Python foundation course, with a mini-project rather than an advanced software-development syllabus.
Before You Enroll
Classes are live and online. Ask us to confirm your laptop/tool setup, prerequisite skills and expected independent practice before choosing a batch.
Trainer assignment, the complete session calendar, recordings and missed-class support will be confirmed with your batch details. Placement is not guaranteed.
Confirm the fee inclusions, taxes, cloud/lab costs and applicable refund and transfer terms before enrollment or payment. Submitting an enquiry does not reserve a seat.
Duration, Schedule & Price
Duration
1 Month / 8 Sessions
Live instructor-led, weekend
Schedule
First class: Saturday, 3 October 2026
- Duration: 1 month / 8 sessions
- First class: Saturday, 3 October 2026
- Days: weekends; remaining dates to be confirmed
- Session duration: 2 hours
- Time: either 6–8 AM or 6–8 PM IST; final slot to be confirmed before enrollment
- Total live training: 16 hours (8 × 2 hours)
- Independent practice: additional; expected hours to be confirmed
Tools & Skills Covered
Session Structure
Session 1
- • Python setup, Google Colab / local setup
- • Variables, input/output, basic syntax
- • Common beginner mistakes
Session 2
- • Conditions, loops, logic building
- • Problem-solving patterns
- • Small command-line exercises
Session 3
- • Strings, lists, dictionaries, tuples
- • Real data handling patterns
Session 4
- • Functions, reusable logic
- • Clean code basics and debugging
Session 5
- • Files, folders, CSV, JSON
- • Automation scripts
Session 6
- • Modules, pip, virtual environments
- • Error handling
- • Working with external libraries
Session 7
- • APIs, requests, basic web data handling
- • Automation use cases
Session 8 — Mini Project Day
- • Build a practical Python automation tool such as:
- • Log analyzer
- • CSV report generator
- • File organizer
- • API data fetcher
- • Simple DevOps health-check helper
Learning Outcomes
- ✓ Write clean beginner-level Python scripts
- ✓ Understand logic instead of copying code
- ✓ Use lists, dictionaries and functions confidently
- ✓ Read and write files
- ✓ Handle CSV/JSON data
- ✓ Use basic APIs
- ✓ Debug common errors
- ✓ Build one mini project
Mini Project
A practical Python automation tool of the learner's choice — log analyzer, CSV report generator, file organizer, API data fetcher or a simple DevOps health-check helper.
A working script the learner built end to end, ready to show.
Practical Deliverables
- ▸ Python practice notebook/repo
- ▸ 8 session assignments
- ▸ Mini project
- ▸ Certificate of completion from ProLEAP Academy
- ▸ Project showcase opportunity
Ask About This Course
Frequently Asked Questions
Is prior coding required?
No.
Is a laptop required?
Yes, preferably.
Is this for DevOps learners?
Yes, it supports automation and scripting.
Will recordings be available?
Subject to batch policy.
Is this enough for advanced software development?
No, it is a practical foundation bootcamp.
Serious about learning properly?
Pick the right course, attend live, complete the labs and build proof that you can actually show.
