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

Nellore, Andhra PradeshEstd 2001 JNTUA, Anantapur NAAC Grade A+ 3.3
Course HighlightsDetails
duration4 Years (Full Time)
course levelUG (Degree)
mode of studyOn Campus
total fees₹ 2.44 Lakhs
eligibility10+2 with 45% + AP EAMCET

Audisankara College of Engineering and Technology Gudur Nellore Latest Updates and News

09 Sep, 2026 AP EAPCET Final Phase Counselling 2026 begins for Bi.P.C stream. Deadline for registration & option entry @cap.apcfss.in is Sept 11 & 12, respectively. Final allotment on Sept 18, 2026. Read News.

09 Sep, 2026 AP EAPCET Phase 3 Counselling 2026 begins for the MPC stream. Registration & option entry is open @cap.apcfss.in till Sept 11 & 12, respectively. Third allotment on Sept 16, 2026. Read News.

Audisankara College of Engineering and Technology Gudur Nellore Important Events

BTech/BPharm/UG Agri (AP EAPCET2
BE/BTech/BPharm/PharmD (AP EAPCE2

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

Quota:
Fee TypeTotal 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

EventsDates
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 -

Do you think the Dates are wrong ?  Report Here

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

Eligibility Criteria

Comments


No Comments To Show