Python Application Developer


Python Application Developers are primarily working on applications related to data science involving handling data, analytics, model framework and tools to create applications for the clients. The dynamic demands of the organization make the role very exciting for Python developers.

Course Highlights
  • 12 Weeks , 24 Sessions Hand-on Program
  • 2 Major Project with deployment
  • Placement Opportunities
  • Hybrid Learning Model
  • Certification Program
  • Internship Included
  • Job Placement Assistance
  • Online or Classroom Training options
  • Regular or Weekend Batches
₹ 55,000
₹ 65,000
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Application developers are always in demand. These days with increasing demand for Data Science and AI applications and usage of the Python language there has been an increasing demand for Python application developers. Learn Python development course to start your journey as an application developer specialized in Python applications and create, design, deploy and debug development projects, typically on the server-side. Be the niche developer with ever-increasing demand in the data-centric world.

This practical hands-on course was designed and developed by industry professionals to impart necessary knowledge and skills in the students to be an independent back-end developers. Learn the language and framework to be market-ready as soon as you complete the course. Students get the opportunity to deploy their projects to build their profiles as part of the course work. Post-program work on your projects to build a perfect profile.

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Python Application Developers are well-versed in handling applications that especially depend on data analytics and data science. This specific expertise offers the learning a special role in the world of application development to showcase skills related to design, deploy and managing applications at the back-end. This program covers Python, Database concepts, Django framework, Project Deployment Techniques and live projects to build relevant skills in the learner. Project-based learning would be key in transforming the learning and imparting confidence.

Boot Camp Learning for everyone

Get projects and hands-on experience to learn the right skills to be a full stack developer. Mentors would guide you through project-based learning to build confidence and skills.


  • Multiple-Technologies
  • Python & application Development
  • Hands-on Experience
  • Basics to Advanced concepts
  • Job Preparation with Profile building
  • Internships and projects
  • Scholarship Assessments
  • Knowledge-Skill Pedagogy


  • Learn Python, Django, Project deployment and other techniques to be a full-fledged software application developer.
  • Project-based, boot camp method of learning for better skills and confidence among the learners.
  • Basics to advanced concepts covered as part of the course.
  • Deliver industry-ready solutions through full-stack technologies.
  • Participate in hackathons and boot camps to improve your skills.
  • Learn the deployment techniques and cloud computing to deploy your models for general public use.

Curriculum Impact

The curriculum developed by industry experts intends to impart skills to the learners irrespective of their prior qualifications. Learners could master the concepts at the pace they prefer to become full-fledged full-stack developers. The Curriculum supports the step-by-step transformation of the learners while building confidence to handle various business domain problems.

  • Fundamentals
  • Syntax,Keywords,Comments
  • Variables
  • Input / Output Operations;
  • Datatypes
  • Data types
  • Strings
  • List, Tuples, Set
  • Dictionary
  • Various Operators
  • if statement
  • if-else
  • Nested if
  • For, While
  • Nested Loops
  • Range, Break
  • Default
  • User-defined
  • Lambda, Nested
  • Recursion
  • Decorators
  • Iterators, Map, Filter
  • Classes
  • Objects
  • Principles
  • Encapsulation
  • Docstrings & Constructor
  • Errors
  • Assertions
  • Exception Handling
  • User-defined exceptions
  • MySQL Basics
  • Queries
  • Tables
  • CRUD,Joins
  • Set Operators
  • Aggregations
  • Environment Overview & Features
  • Project Structures, App Structure
  • Views and Config URLS
  • Working with Models and Databases
  • Configuring of MySQL
  • GET & POST – CRUD operations
  • Postman Tool
  • User Authentication & Authorization
  • Cookie Management
  • Session Management
  • Django Middleware
  • File upload, Mail System
  • Project Deployment
  • Virtual Machine
  • SSH & SCP
  • Environment Setup
  • Code Deployment
  • Database Configuration
  • Webserver configuration
  • Domain configuration
  • Load Balancing
  • 2 Real-time Projects


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Skills are what we promise – Acquire essential skills right from the preparatory course to interview readiness. Our pedagogy encourages and prepares you for real-life situations. Find the right balance between knowledge and skills through practice.

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As a Python Application Developer, you would be eligible to work on projects that are data-centric, especially in the domains of Data Science and AI. Python Developers would work on the back-end designing, developing, debugging, and managing software applications. Demand for Python Developers is steadily growing with time and these professionals are handling the niche projects along with other developers and making their mark. Organizations are investing heavily in the data related to projects and looking for the right talent.

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Statistics Image
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We believe in encouraging talented learners with Scholarships to avoid the learning hurdles due to financial limitations. However scholarships must be awarded based on the merit and hence our assessments. We would be glad to assess learners using our multi-dimensional assessment to identify the dormant potential and thus encourage them through the learning process by offering financial benefits. To know more you could contact us or register for the online assessment. If you are not clear on the career path in the field of AI, please feel free to meet our career counsellor. We would be glad to guide you through the career options to draft a personalized career path.


Frequently Asked Questions

It’s common to have queries related to the course and future career. We have summarized frequently encountered questions for your ready reference. In case you could not find answer for your specific query, please feel free to write to us.

AI is not new however, with the evolution of computational power, memory and powerful algorithms there are new opportunities to solve many real-life challenges. These opportunities are spread across all the domains, be in medical, space, marketing, education, finance and so on. Hence, almost every organization is investing heavily in AI which is creating many opportunities and these would increase over the time.

This is a certification course and post-completion of the course you would awarded with the certificate. AI-Practitioner is a role which defines a professional who used AI technology to solve problems. Post completion of the course ou would be capable to solving real-life problems hence you could turn into an AI-Practitioner.

Indeed. We have Short and Long duration Programs, Regular and Weekend Programs just to meet the dynamic needs of the working professionals. Even the learners could change the batches, as per the availability to suit their schedule.

There is no domain in the world that is currently not using AI solutions. We have Governments, Law, Healthcare, Banking, Education, Security, Pharma, and many more domains using AI to solve tough problems or increase efficiency or effectiveness. Even we use AI applications in our daily life which made it an integral part of lives.

Projects are part of our course. We encourage students to take up minimum one project to complete their program. These projects vary as per the domain interest for the learner and supported by our mentors. All are projects address problems faced by the industry hence learners try to find solution for these through their projects giving them real-time experience.

AI is subject intensive and includes programming. However, AI is based on learning but not logic. Meaning, there will be programming to read the data, train the model and so on however, not as intense as the typical logic based programming. This reduces the programming load on the AI-practitioner and focuses more on data management and model optimization to solve the problem.

Data Science is a growing field and there are numerous opportunities in almost every domain. You could be a Data Analyst, Machine Learning Engineer, Business Intelligence Expert, or a Data Scientist. There are equal opportunities for the freshers and also the experienced professionals. The trends in the job market showcase that Data Science would stay as one of top 3 careers in demand.

You need basic statistical knowledge, logical or algorithmic thinking, and inclination to learn a programming language. These are essential and rest of the skills could be built over time. Communication and writing skills would help you in creating report and when applying for jobs.

Yes. We help learners in getting themselves market ready through profile building, interview preparation, mock interviews, assessments and more. We would also recommend jobs from our IT network and partners, where the industry professionals are looking for right talent.

If you have changed your mind after enrollment for whatever the reason may be we would refund the fee deducting administration and other costs. No questions asked. However if you start attending the sessions then refund is not possible. You could reserve your seat in the future batches.