Diploma in AI with Data Science

Duration: 5 Months

Download Brochure

What will you learn?

Python
ChatGPT
Advanced Excel
SQL
AI
Statistics
Power BI
Application Fee

Rs.500 + GST

Expected Course Commencement Date

20-Apr-2024

Last Date to Apply

15-Apr-2024

Course Fee

Rs. 60,000 + GST

Class Timings

Live Interactive

Weekday (Monday, Wednesday, Friday): 8.00 pm to 9.30 pm (Online)

Physical Classroom Session

Saturday & Sunday: 10 am to 5.30 pm (Physical Classroom Session at LIBA)

2 classes at the beginning & 2 classes at the end

Course Plan

Hybrid Model – 100+ Hours (Classroom + Virtual)

Admission Process

  • Fill out the application form

  • Our expert team will review your application

  • Admission letter will be sent to your email ID

  • Pay the Course Fee

Benefits of doing the programme

Industry Experts Session

1:1 Career Coaching Sessions

Structured Programme

Practical Case Studies – Datasets

Convenient Learning Format

Placement Assistance

Hybrid Mode of Delivery

Hands on
Learning

Programme Overview

  • Designed for working professionals, Freshers

  • Programming tools & Languages

  • 100+ hours (Virtual and Classroom Sessions)

  • Student Support is available 24 x 7, 7 days a week

Job Opportunites

Data Analyst
Data Scientist
Business Analyst
Product Analyst
Data Engineer

Who is this Programme for?

Business Managers and Executives

HR & Recruiters

Sales & Marketing Professionals

Banking & Finance, Telecom, Healthcare Professionals

Management Students

Finance Executives

Teachers & Professors

Operations & Admin

Logistics & Supply Chain

Eligibility

Bachelor’s Degree with minimum 50% or equivalent passing marks.

No coding experience required

Faculty

Rev. Fr. C Joe Arun SJ

Prof. M J Xavier

Prof. Kishore Kunal

Dr. S. Shyni Carmel Mary

Dr. G. Jaculine Priya

Syllabus

  • Overview of Artificial Intelligence
  • Introduction to AI concepts
  • Evolution of AI
  • Types of AI
  • Applications of AI

  • Fundamentals of Machine Learning
  • Understanding of Data
  • Handling Data
  • Understanding machine learning algorithms

  • Machine Learning Techniques
  • Dimensionality Reduction
  • Regularization
  • Generalization
  • Case Study

  • Clustering 
  • Recommendation Systems

  • Unsupervised Learning
  • Case Study

 

  • Ensemble Learning
  • Case Study

  • Introduction to Neural Networks
  • Deep neural networks
  • Understanding Convolutional Neural Networks (CNNs)
  • Understanding Recurrent Neural Networks (RNNs)
  • Case Study

  • Introduction to Computer Vision
  • Image processing fundamentals
  • Object detection and image classification
  • Case Study

  • Natural Language Processing (NLP)
  • Introduction to NLP
  • NLP Applications
  • Customized LLM
  • Case Study

  • Capstone Project and Real-world Applications
  • Capstone Project Kick-off
  • Selecting a project topic
  • Defining project scope and objectives

  • AI Ethics
  • AI Ethics & Practices

  • Explainable AI
  • Case Study

  • Emerging Technologies in AI – Expert Talk
  • Future directions and possibilities

  • Project Development
  • Hands-on implementation and coding
  • Regular project reviews and feedback

  • Project Presentation Preparation
  • Creating a compelling presentation
  • Practicing effective communication of results

  • Capstone Project Presentations
  • Students present their projects to the class
  • Peer and instructor feedback