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R Language – Use in AI
R language, AI, machine learning, deep learning, data science, natural language processing, statistical analysis, business analytics, healthcare AI.
Enroll now for early access of e-LMS
Online/ e-LMS
Mentor Based
Advanced
12 weeks
About
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.
Aim
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
- 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.
- Data Management in R:
- Techniques for data manipulation with R using packages like dplyr.
- Visualization of data using Base R graphics and ggplot2.
- Machine Learning with R:
- Supervised and unsupervised learning techniques, including regression and classification.
- Clustering and dimensionality reduction methods.
- Advanced AI Techniques in R:
- Implementing neural networks with keras and exploring deep learning applications.
- Natural Language Processing using R for text data analysis.
- Real-World AI Applications using R:
- AI applications in business analytics and healthcare.
- Predictive analytics and medical image analysis.
- 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
We are excited to announce that we now accept payments in over 20 global currencies, in addition to USD. Check out our list to see if your preferred currency is supported. Enjoy the convenience and flexibility of paying in your local currency!
List of CurrenciesBatches
Live
Certificate
Program Assessment
Certification to this program will be based on the evaluation of following assignment (s)/ examinations:
| Exam | Weightage |
|---|---|
| Mid Term Assignments | 50 % |
| 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!
Achieve excellence and solidify your reputation among the elite!
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Recent Feedbacks In Other Workshops
The course was more theoretical than practical.
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