B.Tech CSE (AI) · B.Tech AI & DS · Ph.D

Training Machines.
Transforming Futures.

The Department of Artificial Intelligence at Amal Jyothi offers two future-defining B.Tech programmes — AI-first curricula built for the age of Machine Learning, Deep Learning, Natural Language Processing and Data Engineering. Choose B.Tech in CSE (Artificial Intelligence) for a systems-and-AI foundation, or B.Tech in Artificial Intelligence & Data Science for a data-first specialisation — both anchored in applied projects, industry labs, and a Ph.D research pipeline.

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2B.Tech Programmes
Ph.DResearch Dept
AIFirst Curriculum
LabsAI Impact & Data
About the Department

Department of Artificial Intelligence

The Department of Artificial Intelligence at AJCE is positioned at the frontier of computer science — training the next generation of engineers in Machine Learning, Deep Learning, Natural Language Processing, Computer Vision, Data Engineering and applied AI. Two flagship B.Tech programmes and active Ph.D research give students multiple on-ramps into the most transformative field of our time.

Our curriculum is outcome-based, NBA GAPC V4.0 aligned, and AI-first from the very first semester. Students work in our AI Impact Lab, Data Science Club and IT Incubation centres, publish research, and ship real-world projects — supported by industry MoUs and a thriving departmental association.

Programmes & Research Tracks

Choose Your Learning Pathway

Two flagship B.Tech programmes, a doctoral research pipeline, and a network of labs and student-led initiatives — all anchored in AI-first curricula.

B.Tech CT ★ Flagship

B.Tech CSE — Artificial Intelligence

Full CSE grounding — algorithms, systems, databases, networks — combined with dedicated AI tracks in Machine Learning, Deep Learning, NLP, Computer Vision and responsible AI. A complete engineering-and-AI foundation.

4 Years CSE Core + AI ML · DL · NLP
Apply at AJCE Admissions
B.Tech AD ◆ New Age

B.Tech AI & Data Science

Data-first specialisation — statistics, data engineering, ML/DL, analytics, MLOps, visualisation — built for the era of data-driven decisions. Industry exposure, capstone projects and strong placements.

4 Years Data-First Analytics · MLOps
Apply at AJCE Admissions
Research · Labs · Initiatives

Ph.D · AI & Related Fields

3–5 years · KTU-recognised research centre for Machine Learning, Deep Learning, Data Science, NLP and Computer Vision.

AI Impact Lab

The department's flagship applied AI lab — social impact projects, responsible AI, deployment studies and industry collaborations.

Data Science Club

Student-led community running hackathons, Kaggle sprints, guest talks and collaborative data-driven projects.

AI Incubation

Product ideation, MVP mentoring, startup support via Startups Valley TBI and CEDC — turn research into ventures.
Programmes

Two B.Tech Programmes · One Doctoral Track

B.Tech CSE (Artificial Intelligence) — CT

4 Years · CSE foundation + dedicated AI tracks. Algorithms, systems, databases, networks — with ML, Deep Learning, NLP, Computer Vision and responsible AI specialisations across semesters.

B.Tech Artificial Intelligence & Data Science — AD

4 Years · Data-first specialisation. Statistics, data engineering, ML/DL, analytics pipelines, MLOps, visualisation and applied data science capstone projects.

Ph.D in AI & Related Fields

3–5 Years · KTU-recognised research centre. Full-time & part-time doctoral research in Machine Learning, Deep Learning, Data Science, NLP, Computer Vision and allied AI areas.

Add-on Courses & Certifications

Industry-aligned upskilling tracks running alongside the degree — programming bootcamps, ML/DL workshops, MLOps, cloud certifications and more.
Internship 2026 Academic Calendar Syllabus Results Placements Library AES Login
Research · Labs · Initiatives

Where AI Happens — Every Day

AI Impact Lab
Applied AI Research
Data Science Club
Student-led
AI Incubation
Startups · MVP
AI ScReW
Student Research Wing
Mango Waves
Department Radio
Digital India Week
National Initiative
Research Publications
Faculty & Students
Experience

Life in the AI Department

AI & IT Clubs

Peer-led student clubs — coding, AI/ML study groups, open-source, competitive programming, women-in-tech chapter and more.

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Departmental Association

Student-run association organising fests, hackathons, industry lectures, tech-talks, alumni meets and community outreach.

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Conferences & Seminars

National & international AI conferences, faculty development programmes, invited talks and student paper presentations.

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Industrial Training & Visits

Curated industry visits, internship pipelines and technical training programmes that anchor classroom learning in real-world engineering.

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Extra-Curricular Achievements

Awards, competitions, hackathon wins, sports, cultural and community achievements from across the student body.

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Placements & Careers

Strong placements in AI/ML roles — product MNCs, data teams, research labs, startups, and pathways to higher studies abroad.

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Department

Leadership & Milestones

The Department of Artificial Intelligence at AJCE produces graduates equipped for the frontier of modern computing — across product engineering, AI/ML roles, data teams, research institutions and startup ecosystems. With two dedicated B.Tech programmes and an active Ph.D pipeline, we offer a complete AI-first education journey from undergraduate admission through doctoral research.

Dr. Manoj T Joy
Head of the Department

Dr. Manoj T Joy

Department of Artificial Intelligence

Department Highlights

  • B.Tech CSE (Artificial Intelligence) — CT branch · CSE core with AI tracks
  • B.Tech Artificial Intelligence & Data Science — AD branch · data-first specialisation
  • Ph.D in AI & related research areas — KTU-recognised research centre
  • AI Impact Lab, Data Science Club and AI Incubation centres
  • Active research in ML, Deep Learning, NLP, Computer Vision and Data Engineering
  • Industry MoUs, hackathons, Kaggle sprints and strong placement support

NAAC A+ · KTU Affiliated · Autonomous 2023 · KIRF Rank 4

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