Description

The AI and Data Science Diploma Course offers flexible learning paths, with a 6-month, a 12-month standard program introducing core concepts in AI and data analytics and a 24-month advanced program exploring specialized algorithms and industry applications. The curriculum includes training in programming, statistical analysis, and AI frameworks, blending technical proficiency with analytical thinking. No prior experience is required, making it accessible to beginners and professionals aiming to upskill. Graduates receive a diploma, validating their expertise in leveraging data and AI for impactful solutions.

  • Level: Beginner to Advanced

  • Key Topics:

    • Machine Learning & AI Fundamentals

    • Data Visualization & Interpretation

    • Statistical Analysis & Modeling

    • Programming for Data Science

    • Portfolio Development

  • Certification: Diploma of Completion

Eligibility

This course is suitable for anybody having a creative interest and the capacity to work hard

Class Frequency

For details regarding class frequency schedule options and session timing please contact our institute to get complete information about available batches durations and flexible attendance options designed to accommodate your personal and professional commitments Enrollment is currently open for upcoming sessions

Scope

Completing the AI and Data Science Diploma Course opens a wide range of career opportunities in the rapidly growing tech and data industries Graduates can pursue roles such as data scientist machine learning engineer or AI specialist in tech companies financial institutions or healthcare organizations Freelancing offers the chance to provide data-driven solutions for startups or research projects The skills gained also support careers in business intelligence predictive analytics and automation with a strong portfolio positioning graduates for employment or entrepreneurial ventures in the dynamic field of AI and data science

Course Details

(SEM-01) Course Duration: 06 Months

  • Introduction to Data Science & Analytics

  • Python & R Programming Basics

  • Data Cleaning & Preprocessing

  • Exploratory Data Analysis (EDA)

  • Basic Statistical Methods

  • Introduction to Machine Learning

  • Data Visualization with Tools (Matplotlib, Seaborn)

  • Business Intelligence Fundamentals

  • Dashboard Creation with Excel & Power BI

  • SQL for Data Querying

  • Data Workflow & Project Planning

  • Portfolio Development & Final Project

(SEM-02) Course Duration: 12 Months

  • All topics from 6-month course, plus:

  • Advanced Machine Learning Algorithms

  • Predictive Modeling & Classification

  • Data Wrangling with Pandas & NumPy

  • Advanced SQL & Database Management

  • Big Data Tools 

  • Advanced Data Visualization (Tableau, Power BI)

  • Business Intelligence Strategy & KPIs

  • Cloud-Based Analytics 

  • A/B Testing & Experimentation

  • Industry Guest Lectures & Workshops

  • Advanced Portfolio Development

  • Client Project Management

(SEM-03 & 04) Course Duration: 24 Months

  • All topics from the 12-month course, plus:

  • Deep Learning & Neural Networks

  • Natural Language Processing (NLP)

  • Computer Vision Applications

  • Real-Time Data Processing & Streaming

  • Advanced BI & Data Blending

  • AI-Driven Business Intelligence

  • Deployment of Models 

  • Industry-Specific Applications (Finance, Healthcare, Retail)

  • Collaborative Data Projects

  • Business Development for Data Professionals

  • Digital Portfolio & Professional Branding

  • Internship & Industry Exposure

  • Comprehensive Data Solution Project

  • Final Diploma Project & Showcase

Course Enrolled