Python Bootcamp
Code Your Future, Launch Your Career
Start from basics and build full‑stack confidence with hands‑on Python projects, expert mentorship and placement‑focused training from SkillMove.
| Batch Date | Duration | Total Seats |
|---|---|---|
| NOV – 23 – 2025 | 6 Weeks | 25 Seats per Batch |
More Than Learning - Launch Your Python Career with SkillMove
At SkillMove, we do more than teach code, we build career‑ready professionals. Our Python Bootcamp is designed for beginners, career‑changers, and coders who want to turn themselves into developers in high‑demand industries.
With practical training, real‑world projects and dedicated placement support, this isn’t just a bootcamp – it’s your career accelerator.
What You Will Achieve
- Master Python fundamentals, data structures, object‑oriented programming and scripting.
- Build real applications using Python libraries and frameworks (for web, data, automation).
- Develop a strong portfolio of Python projects - code you can show to recruiters.
- Gain confidence to apply for developer roles and walk into interviews.
- Earn a SkillMove certificate that showcases your skills and boosts your employability.
Who Can Build a Career in Python
- Fresh graduates with limited coding exposure who want a tech career.
- Professionals from other fields seeking to switch into software or tech.
- Women returning to the workforce and looking for structured in‑demand skills.
- Learners who want to build coding confidence through projects, not just theory.
- Anyone excited by building apps, solving problems, and turning ideas into code
Learning Methodology
Dedicated learning management System & Regular live interactive sessions
Weekly doubt solving sessions & Weekly Assignments
Real – time case studies & Live Projects
Resume building , 1:1 Mentorship & Mock Interviews
Handover to placement team & Job Assistance
Dedicated learning management System
Regular live interactive sessions
Weekly doubt solving sessions
Live Projects
Real – time case studies
Weekly Assignments
Resume building
1:1 Mentorship
Mock Interviews
Handover to placement team
Job Assistance
SkillMove Placement Process
Training Completion
Resume & LinkedIn Profile Preparation
Mock Interviews & Soft Skills Sessions
Assessment & Job Readiness Check
Job Referrals & Interview Scheduling
Offer Letter & Career Launch
Training Completion
Resume & LinkedIn Profile Preparation
Mock Interviews & Soft Skills Sessions
Assessment & Job Readiness Check
Job Referrals & Interview Scheduling
Offer Letter & Career Launch
Python Careers Are Surging Across India
Python careers are surging across India as companies adopt automation, AI, and data-driven technologies at scale. Roles such as Data Scientist, Machine Learning Engineer, DevOps Engineer, and Full Stack Developer have seen massive demand growth, with salaries ranging from ₹6 LPA to ₹16 LPA in 2025. Python’s versatility across web development, AI, analytics, automation, and cloud engineering makes it one of the most future-proof and high-growth career paths for freshers and working professionals.
Breakdown of Python Roles by Demand
The largest share of Python hiring is led by Python Developers (20%) and Machine Learning Engineers (15%), as companies accelerate automation and AI-driven development. Full Stack Developers, Data Analysts, and DevOps Engineers each contribute 10 -15% of the demand, showing how widely Python is used across software, analytics, and cloud roles. The remaining opportunities span Data Scientists and Backend Engineers (10% and 5%), proving that Python skills are essential across every modern tech team – from AI to web development to cloud engineering.
Python Salaries in India
| Career Path | Average CTC (LPA) | Entry Level (LPA) | Mid-Level (LPA) | Senior Level (LPA) |
|---|---|---|---|---|
| Python Developer | 6 | 4.0 | 8 | 14 |
| Data Analyst | 7 | 4.5 | 9 | 15 |
| Machine Learning Engineer | 14 | 8.0 | 16 | 25 |
| Automation Engineer | 8 | 5.0 | 10 | 16 |
| Full Stack Developer | 12 | 7.0 | 13 | 20 |
| DevOps Engineer | 13 | 8.0 | 15 | 22 |
| Backend Engineer | 11 | 7.0 | 13 | 20 |
| Data Scientist | 16 | 9.0 | 18 | 28 |
What will you learn?
Program Structure & Modules
Module 1: Python Basics – Syntax, Variables, Data Types
- Getting started with Python syntax, setting up the development environment (installing Python, IDE).
- Understanding variables and different data types (integers, floats, strings, booleans).
- Basic operations and expressions.
Module 2: Control Structures, Functions & Modules
- Conditional statements (if, elif, else).
- Loops: for, while, control flow.
- Defining functions, parameters, return values.
- Using modules: importing built-in modules, structuring code into modules/packages.
Module 3: Data Structures (Lists, Tuples, Dictionaries, Sets, etc.)
- Python’s main built-in data structures: lists, tuples, sets, dictionaries.
- Indexing, slicing, iteration.
- Typical operations/methods on these structures (add/remove, lookup).
- When to use which structure.
Module 4: Object-Oriented Programming (OOP) in Python
- Defining classes and creating objects.
- Attributes vs methods, __init__, etc.
- Inheritance, polymorphism, encapsulation.
- Designing object-oriented solutions in Python for real tasks.
Module 5: File Handling, Exception Handling & Modules
- Working with files: reading, writing, appending, closing files; file paths.
- Exception handling: try, except, finally, raising errors, custom exceptions.
- More on modules/packages: structuring larger codebases.
Module 6: Python Libraries & Virtual Environments
- Introduction to external libraries: installing via pip, exploring popular libraries.
- Setting up and using virtual environments (to manage project dependencies).
- Possibly introduction to some specialised libraries (though exact ones not listed on site).
Module 7: Web Development with Python (Flask/Django) / REST APIs
- Basics of web development using Python: picking a framework (such as Flask or Django).
- Designing simple REST APIs: endpoints, request/response, JSON.
- Integrating backend logic with web endpoints.
Module 8: Projects and Real-World Applications
- Putting everything together: developing real-world applications/projects using Python.
- These projects likely involve elements from previous modules (data structures, OOP, web dev).
- Purpose: building a portfolio, gaining practical experience.
Hands-On Projects in Python Bootcamp
- Data Cleaning & Exploratory Data Analysis
- Web Scraping & Data Export
- Flask REST API Development
- Interactive Data Dashboard
- Automation Script for Reports
- Mini Machine Learning Project
Master the Most Powerful Tools Transforming Python in 2025
Learn to build, automate, and scale applications using the most powerful Python tools – Git, GitHub, SQLite, MySQL, Flask, and Matplotlib.
















Why SkillMove Stands Out
➜ Career‑Driven Learning: Our bootcamp isn’t just about code – it’s about getting ready for the job market and stepping into a role.
➜ Live Mentors & Project Focus: Real instructors, live Q&A sessions, hands‑on projects – no passive slides.
➜ Placement Support: Dedicated team to help you prepare for coding interviews, resume review, job referrals – so learning ends with a launch.
➜ Premium Experience, Nationwide Reach: Based in Hyderabad, serving learners across India with a premium brand experience.
➜ Confidence & Credibility: You’ll finish with not just knowledge, but a portfolio and the SkillMove certificate that employers trust.
Hiring Companies with SkillMove
Celebrate Your Skill Move - Get Certified
Upon successful completion of the Python course, you’ll receive a SkillMove certification that’s recognized by employers and aligned with industry standards – “Your Proof of Becoming Python-Tech-Career-Ready”.
SKILLMOVE BRANCHES
NAGOLE BRANCH
PHONE NO – +91 70935 84452
ADDERESS – 9HP4+6H3, Bhagayath Road, Shanti Nagar, Uppal . after nagole metro 2ND floor Uppal, Bagayath Layout, Nagole, Hyderabad, Telangana 500039
KPHB BRANCH
PHONE NO – +91 78937 73859
ADDERESS – 3rd Floor, Manjeera Majestic Commercial, 305 – B, JNTU Rd, Kukatpally Housing Board Colony, Kukatpally, Hyderabad, Telangana 500072
FAQS
Who can join the Python Bootcamp?
Anyone interested in learning Python can join — whether you’re a student, fresher, working professional, or someone switching careers into IT.
Do I need prior programming experience?
No, the bootcamp starts from the basics and gradually covers advanced concepts, so it’s beginner-friendly.
How long is the Python Bootcamp?
The duration is typically 4–8 weeks, depending on the batch and learning pace, with flexible schedules available.
What will I learn in this bootcamp?
You’ll cover Python basics, OOP, file handling, libraries (NumPy, Pandas, Matplotlib), APIs, databases, web development, and automation — along with real-world projects.
Is the training live or recorded?
The training is live instructor-led, and all sessions are recorded so you can revisit them anytime.
Will I work on projects?
Yes, you’ll complete multiple mini-projects and a capstone project to apply your skills in real-world scenarios.
Do you provide placement assistance?
Yes, we offer 100% placement assistance, including resume building, LinkedIn optimization, mock interviews, and job referrals.
What tools and software will I need?
You’ll use Python 3.x, VS Code/Jupyter Notebook, Git, and relevant libraries, all of which will be guided during the training.
Can I switch from a non-IT background to Python careers after this bootcamp?
Yes, many learners from non-IT backgrounds have successfully transitioned to Python-based roles with our training and placement support.
How can I enroll?
Visit our website, fill out the enrollment form, or contact our admissions team to discuss batch timings and payment plans.