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Starts @
Aug 1
Duration
6 months
Semesters
3 Paper
Other Benefits
  • Online

Diploma in Artificial Intelligence

Learning Outcomes

· Develop a strong foundation in Artificial Intelligence, Machine Learning, and Data Mining

· Understand AI models, neural networks, and intelligent systems

· Gain practical experience in data analysis and business intelligence

· Learn to apply machine learning algorithms to real-world problems

· Build skills to work with modern AI-driven technologies and automation systems

 

Teaching Approach

· Hands-on learning through real-world projects and case studies

· Practical training in AI models, machine learning, and data systems

· Industry-aligned curriculum designed by AI experts

· Interactive sessions focusing on problem-solving and innovation

· Continuous assessment through assignments and applied projects

 

Industry Relevance

· Curriculum aligned with current AI, ML, and data analytics trends

· High demand for AI professionals across industries like IT, finance, healthcare, and automation

· Exposure to real-world AI applications and intelligent systems

· Fast-track program designed to make learners job-ready in 6 months 

· Introduction to AI & Production Systems

· Knowledge Representation & Inference

· Planning and Machine Learning

· Expert Systems 

· Introduction to Machine Learning

· Neural Networks & Genetic Algorithms

· Bayesian & Computational Learning

· Instance-Based Learning

· Advanced Learning Models 

· Data Warehousing Concepts

· Dimensional Modeling

· Data Mining Fundamentals

· Data Mining Algorithms 

Academic Qualification Requirements
· Open to students and professionals from any discipline


English Language Requirements

· Basic proficiency in English for understanding technical concepts


Accepted Equivalents

· Suitable for beginners, IT students, and working professionals
· No prior AI experience required


Application Review Notes

· Direct admission based on eligibility
· Ideal for career switchers, tech enthusiasts, and future AI professionals
· Strong interest in technology and data is recommended 

Career Pathways

· Artificial Intelligence & Machine Learning

· Data Analytics & Business Intelligence

· Automation & Smart Systems

· IT & Software Development

 

Employability Support

· Hands-on project portfolio development

· Training in AI tools and real-world applications

· Career guidance and technical interview preparation

· Mentorship from industry professionals

 

Internships & Placement Options

· Exposure to real-world AI projects and datasets

· Opportunities in tech companies, startups, and analytics firms

· Support for entry-level AI and data roles

 

Typical Job Roles after Graduation

· AI Engineer

· Machine Learning Developer

· Data Analyst

· Business Intelligence Specialist

· Automation Engineer

AI Product Consultant 
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