Software Training Institute in Chennai with 100% Placements – SLA Institute

Easy way to IT Job

Advanced Python

(1538)
Live Online & Classroom Training
EMI
0% Interest

Want to excel in automated testing and enhance your software testing skills? Join the QTP Online Course at SLA Institute and master Quick Test Professional (QTP), now known as Micro Focus UFT (Unified Functional Testing)!

This course is designed for both beginners and experienced testers, covering essential topics such as QTP fundamentals, test automation frameworks, object identification, parameterization, and synchronization. You’ll also explore advanced concepts like descriptive programming, error handling, and integration with ALM (Application Lifecycle Management). Through hands-on projects and expert-led sessions, you’ll gain the confidence to create robust automated test scripts and ensure software quality with efficiency.

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Upcoming Batches

Hands On Training
3-5 Real Time Projects
60-100 Practical Assignments
3+ Assessments / Mock Interviews
January 2025
Week days
(Mon-Fri)
Online/Offline

2 Hours Real Time Interactive Technical Training 

1 Hour Aptitude 

1 Hour Communication & Soft Skills

(Suitable for Fresh Jobseekers / Non IT to IT transition)

Course Fee
January 2025
Week ends
(Sat-Sun)
Online/Offline

4 Hours Real Time Interactive Technical Training

(Suitable for working IT Professionals)

Course Fee

Save up to 20% in your Course Fee on our Job Seeker Course Series

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Placement

100% Assistance

Learning

Job-Centered Approach

Timings

Convenient Hrs

Mode

Online & Classroom

Certification

Industry-Accredited

This Course Includes

  • FREE Demo Class
  • 0% EMI Loan Facilities
  • FREE Softskill & Placement Training
  • Tie up with more than 500+ MNCs & Medium Level Companies
  • 100% FREE Placement Assistance
  • Course Completion Certificate
  • Training with Real Time Projects
  • Industry-Based Coaching By MNC IT Professionals
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Expected Criteria for Assured Placement

The following criteria help the placement team guide the candidates to get placed immediately after the course completion through SLA Institute.

  • 80% of coursework completion helps us arrange interviews in required companies.
  • 2 or 3 projects to be done for the selected course to ace the technical round effectively.
  • Ensure attending the placement training right from the first day of the selected course.
  • Practice well with resume building, soft skill, aptitude skill, and profile strengthening.
  • Utilize the internship training program at SLA for the complete technical skills.
  • Collect the course completion certificate and update the copy to the placement team.
  • Ensure your performance indicator meets the expectation of top companies.
  • Always be ready with the updated resume that includes project details done at SLA.
  • Enjoy unlimited interview arrangements along with internal mock interviews.
Have Queries? Ask our Experts

+91 89256 88858

SLA's Distinctive Placement Approach

1

Tech Courses

2

Expert Mentors

3

Assignments & Projects

4

Grooming sessions

5

Mock Interviews

6

Placements

Achieve Your Goals With SLA

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Advanced Python Course Syllabus

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Join our QTP Online Course to learn automated testing and create efficient test scripts. Start with the basics and move on to advanced topics like handling dynamic objects. Work on real projects to build your skills and confidence. With expert guidance from SLA Institute and strong job placement support, you’ll be ready to begin your career in automation testing. Enroll today and start your journey in quality assurance!

Module 1: Introduction to Advanced Python
  • Overview of Python’s advanced features
  • Python 3.x vs Python 2.x
  • Setting up Python environment and IDEs
  • Introduction to Python’s memory management
  • Python’s execution model
Module 2: Object-Oriented Programming in Python
  • Classes and objects in Python
  • Methods, constructors, and destructors
  • Inheritance, Polymorphism, and Encapsulation
  • Abstraction and Interfaces
  • Special methods and operator overloading
  • Design patterns in Python
Module 3: Data Structures and Algorithms
  • Lists, Tuples, Sets, and Dictionaries in-depth
  • Advanced operations with collections module
  • Linked Lists, Stacks, and Queues
  • Trees and Graphs in Python
  • Searching and Sorting algorithms
  • Time and Space Complexity analysis (Big O notation)
Module 4: Web Development with Python
  • Introduction to Web frameworks (Flask/Django)
  • Building RESTful APIs with Flask
  • Template engines and Jinja2
  • Handling HTTP requests and responses
  • Authentication and Authorization
  • Web scraping with BeautifulSoup and Scrapy
Module 5: Python for Data Science and Machine Learning
  • Introduction to NumPy and Pandas for data manipulation
  • Data visualization with Matplotlib and Seaborn
  • Statistical analysis using Python
  • Machine learning with Scikit-learn
  • Supervised and unsupervised learning techniques
  • Neural networks and deep learning overview
Module 6: File Handling and Regular Expressions
  • Working with text, CSV, JSON, and XML files
  • File I/O operations and context managers
  • Introduction to Regular Expressions (regex)
  • Pattern matching and string manipulations
  • Advanced regex techniques in Python
Module 7: Networking and Multithreading in Python
  • Introduction to Python networking (sockets)
  • Client-server programming with Python
  • Multithreading and multiprocessing
  • Synchronization and thread safety
  • Network protocols and data transfer
  • Asynchronous programming with asyncio
Module 8: Python Testing and Debugging
  • Unit testing with unittest and pytest
  • Test-driven development (TDD) principles
  • Debugging with Python’s built-in debugger (pdb)
  • Mocking and patching in tests
  • Performance testing and profiling
  • Code coverage and refactoring
Module 9: Python for Automation
  • Automating system tasks with Python
  • Web scraping and data extraction automation
  • Automating emails and notifications
  • Automating GUI with PyAutoGUI
  • Scheduling tasks with Cron jobs or Task Scheduler
  • Scripting for cloud automation (AWS, Azure)
Module 10: Final Project and Case Studies
  • Real-world case study implementation
  • Collaborative team project work
  • Hands-on experience with industry-standard tools
  • Applying concepts learned in a project-based environment
  • Final project presentation and code review
  • Career guidance and interview preparation

Project Practices on Advanced Python Training

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The Placement Process at SLA Institute

  • To Foster the employability skills among the students
  • Making the students future-ready
  • Career counseling as and when needed
  • Provide equal chances to all students
  • Providing placement help even after completing the course
On Average Students Rated The Advanced Python Course 4.90/5.0
(1538)
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