B.Tech. Artificial Intelligence & Machine Learning

Undergraduate Programme

B.Tech. in Artificial Intelligence & Machine Learning

A rigorous 4-year programme designed to produce industry-ready engineers equipped with cutting-edge skills in AI, deep learning, data science, and intelligent systems — affiliated to JNTUK, Kakinada.

4 Years (8 Semesters)
60 Seats
AICTE Approved
JNTUK Affiliated
NAAC Accredited
Course at a Glance
Programme
B.Tech. AIML
Duration
4 Years (8 Semesters)
Intake
60 Seats
Affiliation
JNTUK, Kakinada
Approved By
AICTE, New Delhi
Annual Tuition Fee
₹40,000 / Year
Eligibility
10+2 with PCM / EAMCET
Apply for Admission

Shape the Future with Artificial Intelligence

The Department of Artificial Intelligence & Machine Learning at Hindu College of Engineering and Technology (HCET), Guntur is one of the most forward-looking departments, designed to meet the explosive global demand for AI expertise. The B.Tech. AIML programme equips students with deep theoretical foundations and practical skills in intelligent systems, data-driven decision-making, and automation technologies.

The curriculum is structured in alignment with JNTUK regulations and industry trends, blending core AI/ML theory with project-based learning, industry internships, and real-world problem solving. Students graduate as competent AI professionals ready to excel in tech industries, research labs, startups, and higher studies globally.

Programme Educational Objectives (PEOs)

  • Prepare graduates for successful careers in AI, ML, and data-driven industries.
  • Enable graduates to design and deploy intelligent systems to solve complex real-world problems.
  • Develop leadership, teamwork & professional communication skills.
  • Foster ethical responsibility in AI and lifelong learning mindset.
  • Encourage innovation and entrepreneurship in AI-powered technology domains.

%

Placement Rate

Annual Intake

Expert Faculty

State-of-Art Labs

LPA

Avg. Package (2024 Batch)

Programme Outcomes

Machine Learning

Design, train and deploy ML models for real-world classification and prediction problems.

Computer Vision

Build intelligent image and video processing systems using deep learning frameworks.

Natural Language Processing

Develop language models, chatbots, and text analytics systems for intelligent communication.

Data Science

Analyse large datasets and derive actionable insights using modern statistical tools.

Cloud & MLOps

Deploy AI models at scale using cloud platforms and ML operation pipelines.

Deep Learning

Implement neural networks, CNNs, RNNs, and transformer architectures for complex tasks.

Problem Solving

Apply algorithmic thinking and mathematical logic to complex AI engineering challenges.

Innovation & R&D

Conduct AI research, publish work and develop patent-worthy intelligent innovations.

Professional Specialisations

From Year III onwards, students may choose from the following professional elective streams to build deep expertise in high-demand AI domains.

Deep Learning & Neural Networks
  • Convolutional Neural Networks (CNNs)
  • Recurrent Neural Networks (RNNs)
  • Transformer Architectures
  • Generative Adversarial Networks
  • AI Ethics & Explainability
Data Science & Big Data Analytics
  • Data Warehousing & Mining
  • Big Data Tools (Hadoop, Spark)
  • Business Intelligence
  • Statistical Modelling
  • Data Visualisation (Tableau/Power BI)
Natural Language Processing
  • Text Classification & Sentiment Analysis
  • Language Model Fine-Tuning (LLMs)
  • Speech Recognition & Synthesis
  • Information Extraction
  • Chatbot & Conversational AI Design
Computer Vision & Image Processing
  • Object Detection & Recognition
  • Image Segmentation
  • Medical Imaging AI
  • Autonomous Vehicle Vision
  • Augmented Reality Applications
MLOps & AI Deployment
  • AWS SageMaker / Azure ML
  • Docker & Kubernetes for ML
  • Model Monitoring & Drift Detection
  • Feature Engineering Pipelines
  • Responsible AI Practices
Reinforcement Learning & Robotics
  • Q-Learning & Policy Gradient Methods
  • Multi-Agent Systems
  • Robotic Process Automation
  • Simulation Environments (OpenAI Gym)
  • Smart City & Industrial AI Applications

Careers & Placements

Our AIML graduates are highly sought after across top MNCs, AI startups, government organisations, and research institutions worldwide.

Job Roles
  • AI / ML Engineer
  • Data Scientist
  • Deep Learning Researcher
  • NLP Engineer
  • Computer Vision Engineer
  • MLOps / AI Deployment Engineer
  • Business Intelligence Analyst
  • Research Scientist / PhD Scholar
Higher Education Options
  • M.Tech. / M.S. in AI (India / Abroad)
  • MBA in Technology Management
  • M.S. in AI / Data Science (US / UK)
  • GATE – PSU Recruitment / M.Tech. IITs
  • Ph.D. Research Programmes in AI
  • GRE / GMAT for International Studies
  • UPSC / Civil Services (IT cadre)
2024 Placement Highlights

₹24L

Highest Package

₹10L

Average Package

91%

Placed Students

70+

Recruiting Companies

Top Recruiters
Google Microsoft Amazon IBM TCS Infosys Wipro Accenture Cognizant HCL Technologies Capgemini Oracle Deloitte Persistent Systems Mphasis Hexaware

World-Class Labs & Facilities

HCET`s AIML Department is equipped with modern AI computing infrastructure to support learning, research, and innovation.

AI & Deep Learning Research Lab

Equipped with NVIDIA GPU servers (RTX 4090 / A100), TensorFlow / PyTorch frameworks, and dedicated workstations for large-scale deep learning model training and experimentation.

Advanced Computing Laboratory

200+ high-performance workstations with Intel Core i7/i9 processors, 32GB RAM, and SSD storage running Windows & Linux dual boot environments for AI development.

Data Science & Analytics Lab

Dedicated workstations with Jupyter Notebooks, R Studio, MATLAB, and Python data science stacks. Access to large public datasets and cloud-hosted data warehouses for real-world analytics projects.

Cloud AI & MLOps Lab

AWS SageMaker, Microsoft Azure ML, and Google Cloud AI credits. Kubernetes clusters, MLflow tracking, and automated ML pipelines for end-to-end model deployment practice.

Robotics & Intelligent Systems Lab

Robotic arms, ROS (Robot Operating System) environments, OpenAI Gym simulation, and reinforcement learning platforms for intelligent agent development and robotics projects.

Digital Library & Learning Hub

Access to IEEE Xplore, Springer Link, NPTEL AI/ML courses, ACM Digital Library, and 10,000+ e-books. Quiet study zones and 24x7 internet connectivity.

Additional Facilities

Campus-wide Wi-Fi Smart Classrooms 3D Printing Lab AR / VR Zone Seminar Hall (500 seating) Hackathon Arena Training & Placement Cell Separate Hostels

Ready to Begin Your AI Engineering Journey?

Join the B.Tech. AIML programme at Hindu College of Engineering and Technology, Guntur and become a part of our legacy of excellence.

Apply for Admission 2025–26