Industry-Oriented Program on Image Processing & AI/ML
Instructor
Sujata Dawn
- Description
- Curriculum
- Reviews
Course Objective
Equip learners with cutting-edge skills in image processing and AI/ML to develop, optimise, and deploy intelligent vision systems for real-world applications.
Career Opportunities
Computer Vision Engineer AI/ML Engineer Embedded AI Developer Data Scientist
Tools & Technologies Used
Future Prospects
The AI Market in India is projected to reach $17 Billion by 2027. (Source: NASSCOM & EY Report, 2023).
The Image Processing & AI Integration Market is growing at a 15% CAGR in India and is also projected to reach $17 billion by 2027. (Source: NASSCOM Report, 2023).
Module 1: Foundations of Image Processing and AI/ML
Module 2: Image Pre-processing and Feature Extraction
Module 3: AI/ML for Image Analytics
Module 4: Advanced Image Processing Techniques
Module 5: AI/ML Tools for Image Processing
Module 6: Generative AI & Agentic AI Fundamentals: LLM Concepts, Prompt Engineering, and Real-World Applications
Module 7: AI-Powered Applications for IOT & Embedded Systems
Module 8: AI in Image Security and Ethical Challenges
Module 9: Deployment & Performance Optimisation
Module 10: Industry Expert Session, Real world Capstone Project
Module 11: Certification Exam
Stars 5
23
Stars 4
9
Stars 3
2
Stars 2
0
Stars 1
0
Course details
Duration
48 Hours
Level
Fundamentals to Industry Readiness
Basic info
Mode: Interactive Online / Hybrid / Offline
Exclusive Post-Course Opportunities
To maximize industry exposure and enhance students' career readiness beyond the training curriculum, the following additional exclusive opportunities will be offered along with the curriculum:
Paid Internship Opportunity for Top Performers
Dedicated Industry Visit for All Participants
Expert-Led Industry Insight Sessions
Skill2Hire: Skilling students with interview readiness, personality development, soft skills, and aptitude training to make them completely hire-ready.
Course requirements
Basic understanding of Python programming, linear algebra
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