R Language – Use in AI

R language, AI, machine learning, deep learning, data science, natural language processing, statistical analysis, business analytics, healthcare AI.

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Online/ e-LMS
Mentor Based
12 weeks


R Language – Use in AI is a structured 8-week program that introduces R programming to M.Tech, M.Sc, and MCA students, as well as professionals in various tech industries. It covers the integration of R in data science, machine learning, deep learning, and natural language processing, providing practical skills and deep insights into R’s use in AI-driven projects.


The course aims to explore the capabilities of the R language in artificial intelligence, equipping participants with the skills to leverage R’s statistical and machine learning capabilities for AI applications.

Program Objectives

  • Proficiency in R for AI: Gain a thorough understanding of how to use R for AI projects.
  • Data Science Skills: Acquire skills in data manipulation, visualization, and analysis using R.
  • AI Solution Development: Develop the ability to implement comprehensive AI solutions using R.

Program Structure

  1. Introduction to R for AI:
    • Basics of R, its IDEs, and the role of R in AI.
    • Setting up the environment and fundamental programming concepts.
  2. Data Management in R:
    • Techniques for data manipulation with R using packages like dplyr.
    • Visualization of data using Base R graphics and ggplot2.
  3. Machine Learning with R:
    • Supervised and unsupervised learning techniques, including regression and classification.
    • Clustering and dimensionality reduction methods.
  4. Advanced AI Techniques in R:
    • Implementing neural networks with keras and exploring deep learning applications.
    • Natural Language Processing using R for text data analysis.
  5. Real-World AI Applications using R:
    • AI applications in business analytics and healthcare.
    • Predictive analytics and medical image analysis.
  6. Project and Implementation:
    • Design, implementation, and presentation of a capstone AI project using R.

Participant’s Eligibility

  • M.Tech, M.Sc, and MCA students in IT, Computer Science, and related fields.
  • E0 & E1 level professionals in BFSI, IT services, consulting, and fintech looking to enhance their AI capabilities with R.

Program Outcomes

  • Advanced R Skills: Mastery of R for advanced AI applications, including deep learning and NLP.
  • Strategic AI Implementation: Ability to strategically implement AI solutions using R across various industries.
  • Innovative Thinking: Enhanced capability to innovate and improve processes through AI technologies.

Fee Structure

Standard Fee:           INR 49,998           USD 1,300

Discounted Fee:       INR 24999             USD 650





Program Assessment

Certification to this program will be based on the evaluation of following assignment (s)/ examinations:

Exam Weightage
Mid Term Assignments 20 %
Final Online Exam 30 %
Project Report Submission (Includes Mandatory Paper Publication) 50 %

To study the printed/online course material, submit and clear, the mid term assignments, project work/research study (in completion of project work/research study, a final report must be submitted) and the online examination, you are allotted a 1-month period. You will be awarded a certificate, only after successful completion/ and clearance of all the aforesaid assignment(s) and examinations.

Program Deliverables

  • Access to e-LMS
  • Real Time Project for Dissertation
  • Project Guidance
  • Paper Publication Opportunity
  • Self Assessment
  • Final Examination
  • e-Certification
  • e-Marksheet

Placement Assistance

  • Professional Networking: Opportunities to connect with industry leaders and AI experts.
  • Career Services: Support for job placement and career advancement in AI and data science fields.
  • Industry Insights: Sessions with guest lecturers from the industry to provide real-world insights into AI applications.

Future Career Prospects

  • Data Scientist: Specializing in AI and machine learning projects using R.
  • AI Research Analyst: Developing new AI methodologies and technologies.
  • Business Intelligence Developer: Implementing AI solutions in business contexts to drive decision-making.

Enter the Hall of Fame!

Take your research to the next level!

Publication Opportunity
Potentially earn a place in our coveted Hall of Fame.

Centre of Excellence
Join the esteemed Centre of Excellence.

Networking and Learning
Network with industry leaders, access ongoing learning opportunities.

Hall of Fame
Get your groundbreaking work considered for publication in a prestigious Open Access Journal (worth ₹20,000/USD 1,000).

Achieve excellence and solidify your reputation among the elite!


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