Course offered by Rudra Education

Program Overview

The Online Diploma in Machine Learning and Artificial Intelligence is an intensive one-year programme tailored for graduates, IT professionals, data enthusiasts, and aspiring AI specialists seeking a robust foundation in cutting-edge technologies. Delivered fully online, this diploma integrates core concepts of AI with practical machine learning applications, empowering learners to build intelligent systems and data-driven solutions.

The curriculum includes key topics like supervised and unsupervised learning, neural networks, natural language processing, deep learning, data preprocessing, and model deployment. This practitioner program is aimed at developing technical skills, analytical minds, and problem-solving abilities in line with the current AI-based industries.

If your ambition is to join the tech field, get promoted to senior data science roles, or further study AI or computer science, this diploma offers the applied tools and theoretical foundation to assist you in succeeding.

Key Programme Features

Specialized one-year diploma on Machine Learning and AI technologies.

Core subjects include:

• Artificial Intelligence Fundamentals
• Machine Learning Algorithms (Supervised & Unsupervised)
• Python for Data Science Programming
• Neural Networks and Deep Learning
• Natural Language Processing (NLP)
• Data Preprocessing and Feature Engineering
• Model Evaluation and Deployment
• Available 100% online with flexible schedules suitable for working professionals and online learners.
• Focuses on hands-on project work, real-world datasets, and coding practice.
• Comprises video tutorials, coding labs, peer discussion forums, and industry expert mentorship.
• For computer science, engineering, mathematics, statistics, or related field graduates.

 

Programme Highlights

Structured over two semesters, combining conceptual study with applied machine learning projects.

Builds applied skills in:

• Data analysis and predictive modeling
• Programming in Python and ML libraries (Scikit-learn, TensorFlow, Keras, etc.)
• Designing and deploying AI-based solutions
• Prepares students for professional roles in:
• Machine Learning Engineer
• AI Developer
• Data Scientist
• NLP Engineer
• Business Intelligence Analyst
• AI Product Consultant
• Acts as a prerequisite for advanced education like M.Tech/M.Sc. in AI, Postgraduate AI Certifications, or research positions in advanced computing.

Eligibility Criteria

• Candidates must be eligible to be admitted.
• Possess a Bachelor's degree in Computer Science, Engineering, Mathematics, Statistics, or any other appropriate field from a recognized institution.
• Have scored at least 50% aggregate marks in their degree.
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• Final-year students pending results may provisionally apply according to university policy.