Audisankara College of Engineering and Technology Gudur Nellore B.Tech Computer Science and Engineering (Artificial Intelligence & Machine Learning): Fees 2026, Course Duration, Dates, Eligibility

Name: Bachelor of Technology [B.Tech] Computer Science and Engineering (Artificial Intelligence & Machine Learning)
Rating: 2.5 (2 reviews)

Nellore, Andhra PradeshEstd 2001 JNTUA, Anantapur NAAC Grade A+ 3.3

2.5

(2 Reviews)

Course Highlights	Details
duration	4 Years (Full Time)
course level	UG (Degree)
mode of study	On Campus
total fees	₹ 2.44 Lakhs
eligibility	10+2 with 45% + AP EAMCET

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Highlights
Fees
Important Dates
Admission Process
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Audisankara College of Engineering and Technology Gudur Nellore Latest Updates and News

19 Sep, 2026 AP EAMCET 2026 Third & Final Phase seat allotment has been delayed again. It will now be released on Sept 20, 2026. Read News.

15 Sep, 2026 AP EAPCET Final Phase Counselling 2026 (Bi.P.C stream) option entry deadline has been extended to Sept 20 @cap.apcfss.in. The allotment will now be released on Sept 23, 2026. Read News.

Audisankara College of Engineering and Technology Gudur Nellore B.Tech Computer Science and Engineering (Artificial Intelligence & Machine Learning) Fees

Quota:

Fee Type	Total Amount (INR)
total fee	₹2.44 Lakhs

* Fees is refundable

Important Dates for B.Tech Computer Science and Engineering (Artificial Intelligence & Machine Learning) at Audisankara College of Engineering and Technology Gudur Nellore

Expired Events

Events	Dates
Self Reporting at College for AY2026-27 [BE/B.Tech]	Aug 10, 2026 - Aug 15, 2026
Commencement of Classes for AY2026-27 [BE/B.Tech]	Aug 10, 2026
Seat Allotment for AY2026-27 [BE/B.Tech]	Aug 09, 2026

Check entrance exam dates for admission in B.Tech Computer Science and Engineering (Artificial Intelligence & Machine Learning) at Audisankara College of Engineering and Technology Gudur Nellore -

AP EAPCET

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Audisankara College of Engineering and Technology Gudur Nellore B.Tech Computer Science and Engineering (Artificial Intelligence & Machine Learning) Admission Process

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