
our features

Real Time Practice Labs
Practice Labs makes it easy for you to put your learning into practice in a safe environment that you can access anytime with a compatible PC, Browser and Internet connection.

Physical And Virtual
Online Classrooms
Online Classrooms
https://www.softenant.com/We will use collaborative web conferencing with screen sharing to conduct highly interactive live online teaching sessions. Learn more from the best python training in vizag.

Live Projects With Our
Industry Partners
Industry Partners
We offer Live Projects and opportunity to take part in project design supported by industry partners including business and community organizations.
Happy to Introduce
We offer advanced Python training. This course is designed to give students the skills they need to work with data, create apps, and understand how algorithms work. Students will learn about machine learning, artificial neural networks, building APIs, and much more!

Which course is best for Python?
Data Structures & Algorithms
Applied Computer Science
The focus of this course is to give students hands on experience with practical computer science tasks. Students will work on projects in small teams to complete these tasks. These projects cover various topics from operating systems, web application security, cloud computing, distributed computing, mobile applications, robotics, artificial intelligence, embedded systems, cyber forensics, cryptography, networking, machine learning, and game theory. Each team is given a problem statement and allowed to choose any technology stack to solve the problem. Projects span a wide array of technologies from hardware to software to firmware. At the end of each semester, each team chooses a topic area for a final presentation. Students will present their research and design ideas in front of the class at the beginning of the following semester.
Software Engineering
Software engineering teaches students about the different types of problems engineers face, and different solutions to those problems.. In this course, we’ll take a look at some of these approaches, and examine ways to evaluate them. We’ll also explore what makes certain approaches better than others, and discuss the tradeoffs between efficiency, flexibility, and maintainability.