Applied Artificial Intelligence & Data Science

Program Structure

  • Semester 3 – Core Programming and Data Management
    • Relational Databases (RDBMS) using MySQL
    • Python Programming & Advanced Python
    • Problem Solving & Data Structures using Python
  • Semester 4 – Data Analysis
    • Exploratory Data Analysis with Pandas
  • Semester 5 – Machine Learning
    • Machine Learning Fundamentals & Advanced ML
    • ML System Design & Deployment (MLOps)
  • Semester 6 – Advanced AI
    • Deep Learning using TensorFlow
  • Semester 7 – NLP and Generative AI
    • Natural Language Processing
    • Generative AI & Agentic AI
    • Experiential Project-Based Learning

Pre-requisites

  •  Eligibility: 3rd, 4th, 5th, 6th, 7th Semester B. E / B.Tech students
  •  Basic computer and operating system knowledge
  •  Logical thinking and problem-solving skills
  •  No prior programming or AI experience required

Program Outcomes

  •  Demonstrate proficiency in Python programming, data handling, and database management
  •  Analyze and visualize complex datasets using Excel and Python-based tools
  •  Apply supervised and unsupervised machine learning techniques to solve real-world problems
  •  Design, train, and deploy deep learning models for image, text, and sequence data
  •  Develop natural language processing and generative AI applications using modern AI frameworks

Project Streams

  • Core Programming and Data Visualization
    • Student Grading System using Python functions
    • Automated Sales Performance Dashboard in Excel
    • Customer Segmentation with Grouped Insights
  • Machine Learning and Deep Learning
    • Credit Risk Analysis using Ensemble
    • Multi-Class Image Classification with CNN
    • License Plate Detection with OpenCV

Software & Frameworks

  •  Python, Jupyter Notebook, Anaconda, VS Code
  •  MySQL · MS Excel
  •  TensorFlow, Keras, PyTorch, OpenCV
  •  Streamlit, Gradio, HuggingFace

Enquire Now

Enquire Now

Enquire Now

Please Sign Up to Download

Please Sign Up to Download

Enquire Now

Please Sign Up to Download




    Enquiry Form