B.Des – Generative AI and Machine Learning

The Bachelor of Design (B.Des) in Generative AI and Machine Learning prepares students to become creative innovators in the era of Artificial Intelligence. The programme integrates design, creativity, programming, and AI technologies to develop intelligent digital products, applications, and user experiences.

Students gain practical knowledge in Generative AI, Prompt Engineering, Machine Learning, Deep Learning, Computer Vision, Natural Language Processing, AI-powered content creation, and intelligent product design through industry-oriented learning.

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What You Will Learn

Generative AI
Machine Learning
Prompt Engineering
Deep Learning
Artificial Intelligence
Computer Vision
Natural Language Processing
Python Programming
AI Product Design
Human-Centered Design
Automation
Ethics in AI

Career Opportunities

AI Designer
Prompt Engineer
Machine Learning Specialist
AI Product Designer
AI Consultant
Generative AI Developer
Innovation Designer
AI Research Associate

Aspect	Traditional AI	Generative AI
Core Function	Analyzes, recognizes patterns, makes predictions.	Creates, generates, produces new content.
Nature	Reactive – responds to data.	Proactive – creates from learned patterns.
Input	Requires clean, structured data.	Handles unstructured data (text, images, audio).
Output	Predictions, classifications, recommendations.	Novel content (images, text, video, music, 3D models, code).
Approach	Rule-based, deterministic algorithms.	Probabilistic, transformer-based, GANs.
Creativity	No creative capability.	High creative capability.
Adaptability	Rigid, requires retraining for new situations.	Flexible, fine-tunable with minimal effort.
Use Cases	Automation, diagnostics, fraud detection, navigation.	Content creation, design generation, creative assistance.
Learning Method	Explicit rules defined by programmers.	Learns patterns from data, adapts behavior.
Computational Needs	Lower – focused computing.	Higher – requires GPUs, significant resources.
Real-time Performance	Excellent – low latency.	Moderate – requires optimization.
Explainability	High – clear reasoning paths.	Lower – black box concerns.
Cost	Lower initial investment.	Higher upfront investment.

Duration	4 Years (8 Semesters)
Affiliation	Anna University
Approval	AICTE Approved
Anna University Counselling Code	2361

Graduates of this programme are equipped with industry-relevant skills and may pursue opportunities with leading global organizations such as:

Note: Company names are indicative of potential employers for graduates with relevant skills and experience. They do not represent confirmed placement partnerships or guaranteed recruitment.