Skip to main content

BTECH Courses

 Among the various fields covered by BTECH are

Aeronautical Engineering B.Tech

B.Tech: Biotechnology B.Tech: Civil Engineering B.Tech: Automobile Engineering

B.Tech in Engineering and Computer Science

Electrical and electronic engineering bachelor's degree

B.Tech. Electronics & Communication B.Tech. Mechanical Engineering

B.Tech CSE with a focus on machine learning and artificial intelligence (affiliation with Microsoft)
Cloud computing specialisation in a B.Tech CSE programme (affiliation with Microsoft)
B.Tech in Computer Science and Engineering with a focus on Cyber Security and Forensics, sponsored by IBM
B.Tech CSE with Gaming Technology Specialisation (in collaboration with IBM)
B.Tech in Electronics and Communication Engineering, with a focus on Artificial Intelligence in conjunction with Intel and the Internet of Things (IOT)
Mechatronics-focused Mechanical Engineering specialisation
B.Tech in Mechanical Engineering, specialising in Automation and Smart Manufacturing
B.Tech in Computer Science and Engineering, affiliated with Xebia, with a focus on Artificial Engineering and Machine Learning
B.Tech in Computer Science and Engineering, in partnership with Xebia, with a focus on Cloud, DevOps, and Atomation
B.Tech in Computer Science and Engineering, affiliated with Quick Heal, with a focus on Cyber Security


Engineering in Aeronautics Entry Laterally
Vehicle Engineering Entry Laterally
Civil Engineering Entry Laterally
Biotechnology Entry Laterally
Engineering and Computer Science Computer Science and Engineering Lateral Entry Programmes Offered in Collaboration with IBM-  Lateral Entry (Graphics and Gaming Technology, Cyber Security and Forensics, Cloud Computing, Business Analytics and Optimisation)
Engineering in Electronics and Communication, with a focus on Internet of Things Entry Lateral (IOT)
Engineering with electronics and electricity Entry Laterally
Engineering in Mechanical Systems Entry Laterally
Computers and Electronics Data Science & Machine Learning Lateral Entry Entry from the Lateral Perspective and Digital Transformation

Comments

Popular posts from this blog

Infosys Springboard Internship 6.0

Infosys Springboard Internship 6.0 – A Move towards Practicum Learning Infosys Springboard Internship 6.0 is a cutting-edge initiative to bridge the gap between learning at school and industry needs. This online, project-based internship is geared towards undergraduate students and is a perfect platform for acquiring real-time exposure to technology and digital innovation. The program runs for approximately eight weeks and is aimed at creating technical, problem-solving, as well as professional skills through mentorship and hands-on projects. One of the key features of Internship 6.0 is its domain flexibility. Students have a variety of currently popular domains such as Artificial Intelligence and Machine Learning, Java Development, Web Development, Python Programming, and Business Intelligence through Data Visualization to choose from. This allows the students to customize the internship based on their professional ambitions and personal interests, which enhances the relevance and int...

Git and Github

Git and GitHub are basic tools for modern software development, providing a means of implementing version control and collaboration and facilitating the whole development process. It's a distributed version control system that lets developers see and manage the changes that happened in the codebase over time. It tracks all changes made to the codebase, allowing developers to roll back previous versions, work more efficiently, and record their project history. This works locally on a developer's computer, allowing the person to work separately and synchronize their changes with a central repository afterward.  On the other hand, GitHub is a cloud service hosting Git repositories, where developers can collaborate on their work more easily and share code with others. It offers a social layer over Git where developers can create public or private repositories, manage issues, process pull requests, and work with other people on open-source projects. Besides this, it also provides wi...

The Transformative Power of Generative AI in Medical Chatbots

The Transformative Power of Generative AI in Medical Chatbots Generative AI, specifically large language models (LLMs), are currently changing healthcare chatbots in ways that allow for catching up the limitations of traditional cartable based systems. LLMs excel at understanding complex language, something necessary in healthcare, since patients' questions are often vague and ambiguous. Unlike rigid rule-based chatbots, LLMs - trained on very large datasets - understand how to interprete human language, even when patients speak in non-medical, colloquial terms. Comparatively, using this improved understanding enables chatbots to respond more effectively and meaningfully without the responses being pre-scripted and is used, medical, information of the given inquiry. LLMs can review and analyze all of the large amounts of medical knowledge, as well as, the vast amounts of patient interaction data used to enable LLMs to respond in a specific manner for uniquely wanting to yield the m...