Course Overview

R Language – Use in AI is an 8-week comprehensive program designed for M.Tech, M.Sc, and MCA students, as well as professionals from industries like BFSI, IT services, and consulting. This course introduces participants to the use of R in data science, machine learning, deep learning, and natural language processing (NLP). Participants will gain practical skills and deep insights into integrating R with AI-driven projects, equipping them to solve real-world problems across sectors such as business analytics and healthcare.

Course Goals

The course aims to explore the vast capabilities of R in artificial intelligence, helping participants master R's statistical and machine learning tools for developing AI solutions. Participants will learn to manipulate, visualize, and analyze data effectively while applying AI methodologies to a variety of industry challenges.

Program Objectives

• Proficiency in R for AI: Gain a solid understanding of using R in AI applications, from data management to advanced modeling.
• Data Science Skills: Develop skills in data manipulation, visualization, and analysis using R packages like dplyr and ggplot2.
• AI Solution Development: Learn to design and implement AI solutions using R for real-world projects.

Program Structure

• Module 1: Introduction to R for AI
  • Overview of R, its IDEs, and its role in AI
  • Setting up the R environment and understanding fundamental programming concepts
• Module 2: Data Management in R
  • Techniques for data manipulation using dplyr
  • Data visualization using Base R graphics and ggplot2
• Module 3: Machine Learning with R
  • Supervised learning techniques like regression and classification
  • Unsupervised learning methods such as clustering and dimensionality reduction
• Module 4: Advanced AI Techniques in R
  • Building neural networks with Keras and exploring deep learning applications
  • Implementing natural language processing (NLP) for text analysis in R
• Module 5: Real-World AI Applications Using R
  • Applications of AI in business analytics and healthcare
  • Predictive analytics and medical image analysis using R
• Module 6: Capstone Project and Implementation
  • Design, implementation, and presentation of a comprehensive AI project using R

Eligibility

• Students: M.Tech, M.Sc, and MCA students in IT, computer science, data science, or related fields.
• Professionals: E0 & E1 level professionals in BFSI, IT services, consulting, and fintech looking to enhance their AI capabilities using R.

Learning Outcomes

• Advanced R Skills: Master the use of R for advanced AI applications, including deep learning and NLP.
• Strategic AI Implementation: Develop the ability to strategically deploy R-based AI solutions across various industries.
• Innovative Thinking: Strengthen your ability to innovate and improve processes using AI technologies.