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Home » » Artificial intelligence colleges in ap| Colleges offering artificial intelligence in AP| apeapcet cse artificial intelligence colleges|AI and Ml colleges in ap|

Artificial intelligence colleges in ap| Colleges offering artificial intelligence in AP| apeapcet cse artificial intelligence colleges|AI and Ml colleges in ap|

By  September 13, 2021  6 comments

 Hello students in this post I'm going to share list of Colleges which are offering CSE Artificial intelligence and machine learning  in Andhra Pradesh.

These analysis are purely based on last year seat allotment.
Hope these details will hep you in choosing right colleges for your carrier, but remember you have to carryout deep research before joining into any college.

inst_code

inst_name

ACES

ADITYA COLLEGE OF ENGINEERING

GIER

GODAVARI INSTITUTE OF ENGG. AND
TECHNOLOGY

KIEK

KAKINADA INSTITUTE OF ENGG. AND
TECHNOLOGY

KIET

KAKINADA INSTITUTE OF ENGG. AND
TECHNOLOGY

KIEW

KAKINADA INST OF ENGG AND
TECHNOLOGY FOR WOMEN

PRAG

PRAGATI ENGINEERING COLLEGE

CHBR

CHEBROLU ENGINEERING COLLEGE

GECG

GUNTUR ENGINEERING COLLEGE

KHIT

KALLAM HARANADH REDDY INST OF
TECH

MPES

MALINENI PERUMALLU EDNL SOC
GROUP OF INSTNS

VVIT

VASIREDDY VENKATADRI INST. OF
TECHNOLOGY

ASIP

AMRITA SAI INST. OF SCIENCE AND
TECHNOLOGY

NRIA

NRI INSTITUTE OF TECHNOLOGY

PSCV

POTTI SRIRAMULU COLLEGE OF ENGG
AND TECHNOLOGY

SRKI

S R K INST. OF TECHNOLOGY

SVET

SRI VASAVI INSTT OF ENGINEERING
AND TECHNOLOGY

RPRA

RISE KRISHNA SAI PRAKASAM GROUP
OF INSTITUTIONS

ANIL

ANIL NEERUKONDA INSTITUTE OF
TECHNOLOGY AND SCI

AVEN

AVANTHI INSTITUTE OF ENGG. AND
TECHNOLOGY

DIET

DADI INSTT. OF ENGINEERING AND
TECHNOLOGY

GVPE

GAYATHRI VIDYA PARISHAD COLL. OF
ENGINEERING

GVPW

GAYATHRI VIDYA PARISHAD COLL OF
ENGG FOR WOMEN

NSRT

NADIMPALLI SATYANARAYANA RAJU
INSTITUTE OF TECHNOLOGY

RAGU

RAGHU ENGINEERING COLLEGE

RITV

RAGHU INST. OF TECHNOLOGY

ARTB

AVANTHIS RESEARCH AND
TECHNOLOGICAL ACADEMY

ASTC

AVANTHIS ST THERESSA INSTITUTE OF
ENGG AND TECHNOLOGY

AVEV

AVANTHI INST. OF ENGINEERING AND
TECHNOLOGY

SRIT

SRINIVASA RAMANUJAN INST OF
TECHNOLOGY

SDTN

SIDDHARTH INSTITUTE OF ENGG. AND
TECHNOLOGY

SSCC

SRINIVASA INSTITUTE OF
TECHNOLOGY AND MANG STUDIES

SVCE

SRI VENKATESWARA COLL OF
ENGINEERING

SVCT

SRI VENKATESWARA COLLEGE OF
ENGG. AND TECHNOLOGY

SVEC

SRI VENKATESWARA ENGG COLLEGE

SVCK

SRI VENKATESWARA COLLEGE OF
ENGINEERING

GTNN

GEETHANJALI INST OF SCIENCE AND
TECHNOLOGY
.

All colleges cutoff rank details:

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6 comments:

  1. Nanfor Ibérica15 May 2022 at 17:02

    Share great information about your blog , Blog really helpful for us .
    INTELIGENCIA ARTIFICIAL APLICADA A LA EMPRESA - SEPE 2020

    ReplyDelete
  2. Kale Co Jakim14 September 2026 at 19:54

    The comparison of CSE Artificial Intelligence and Machine Learning colleges using previous-year seat allotment data is a useful way to understand admission trends. At the same time, students should treat the cutoff information as a reference and consider factors such as curriculum, faculty, laboratories, projects, and placement opportunities before making a final choice.

    The focus on Artificial Intelligence and Machine Learning also makes project exposure an important consideration during college selection. Students who want practical experience can benefit from working on areas covered by Machine Learning Projects For Final Year, particularly when they want to apply concepts beyond classroom assignments.

    ReplyDelete
  3. Kale Co Jakim14 September 2026 at 19:56

    Overall, the previous-year seat allotment figures provide a helpful starting point, but they should be combined with information about academic facilities and practical learning. Looking at areas such as Deep Learning Projects For Final Year can also help students assess whether a college provides opportunities to develop relevant technical skills alongside the CSE AI and ML curriculum.

    ReplyDelete
  4. Kale Co Jakim14 September 2026 at 20:00

    The comparison of CSE Artificial Intelligence and Machine Learning colleges using previous-year seat allotment data provides a useful starting point for students evaluating their admission options. Since the article focuses on actual allotment trends across different institutions, it helps students understand how competitive these programs can be while reminding them to look beyond cutoff information when making a decision.

    For students planning to build a strong foundation in AI and ML, understanding core concepts such as supervised learning, classification, regression, and model evaluation is especially valuable. This makes Machine Learning Training relevant for developing practical skills alongside the CSE curriculum.

    ReplyDelete
  5. Kale Co Jakim14 September 2026 at 20:00

    The article also highlights why students should consider the academic and practical opportunities available at each college, not just admission trends. A structured foundation in algorithms and fundamental machine learning concepts can be developed through Machine Learning Fundamentals Training, which can support students when they progress toward more advanced AI and ML projects.

    ReplyDelete
  6. harry wilson29 October 2026 at 11:42

    I found the discussion about learning through practical activities quite interesting because students often understand a topic better when they can connect it with real examples. Working with data can be especially rewarding when charts and dashboards make complicated information easier to interpret. I also think that sharing different approaches to learning can help students discover methods that suit their individual study habits. When I work on Tableau projects, I appreciate clear explanations that help me understand each step rather than simply follow instructions. Help with Tableau Assignment UK can be a useful search term for students looking for additional guidance, while online assignment help for UK students may also introduce helpful learning resources. Building confidence through practice makes a real difference.

    ReplyDelete