CHRIST CUx

Skills

Our curriculum matches modern standard practices to provide exceptional training milestones.

Learning Outcomes

Our curriculum matches modern standard practices to provide exceptional training milestones.

AI Foundations and Concepts

Understand the core concepts of Artificial Intelligence, Machine Learning, Deep Learning, and Neural Networks that drive modern intelligent systems.

CORE KNOWLEDGE

AI Tools and Technologies

Explore industry-leading AI tools and platforms to build, test, and deploy intelligent solutions for diverse real-world applications efficiently.

PRACTICAL LEARNING

Real-World AI Applications

Apply AI techniques to forecasting, classification, text analytics, image recognition, and anomaly detection across business and industry domains.

INDUSTRY APPLICATIONS

Intelligent Decision-Making

Develop AI-driven solutions that support predictive analytics, risk assessment, and data-informed decision-making for complex organizational challenges.

BUSINESS ANALYTICS

Model Development and Deployment

Design, evaluate, and deploy scalable AI models using real-world datasets while following industry standards and best implementation practices.

TECHNICAL SKILLS

Ethics and Responsible AI

Apply ethical AI principles to ensure fairness, transparency, accountability, and responsible use of intelligent technologies across diverse applications.

RESPONSIBLE AI

ELIGIBILITY CRITERIA

All UG students

Course Instructor

Expert guidance from acclaimed industry professional leaders.

Dr Helen K Joy

Assistant Professor

Dr. Helen K. Joy is an Assistant Professor and Coordinator of the Centre for Artificial Intelligence at Christ University, Bangalore. She holds a Ph.D. from Reva University and a Gold Medal in M.E. Applied Electronics from Sathyabama University. A Google Certified Educator, IEEE member, recipient of the IEEE Early Career Women in Engineering Award, and IEEE Education Society Distinguished Lecturer 2025–26, her research spans Deep Learning, Computer Vision, TinyML, and Video Compression.

Program Overview

Academic Curriculum

A meticulous, guided learning path engineered to transform your cloud engineering expertise.

Module 1

Advancements and Tools in AI

Module 2

Applied AI for Academic & Professional Practice

Module 3

Ethics in AI

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Sania Fathima

MBA

“The course provided useful knowledge and insights related to the subject. The content was informative and relevant, and it helped me gain a better understanding of the concepts covered.”

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Kaushik Vallioor Sankaran

MBA

“I thoroughly enjoyed the Micro Credential course. It was direct and very informative.”

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Adrija Roy

MBA

“The modules were structured in a simple and accessible way, making the concepts easy to understand even without prior knowledge of the topic. The workbooks provided valuable hands-on practice, and the course was an enriching learning experience that helped me build practical skills and confidence.”

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Xavier Amith J

MCA

“The hands-on demonstrations and coding sessions were my favourite part. Overall, it was a valuable learning experience that helped me learn beyond the classroom, explore a new area, and become more curious about what AI can do.”

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M A Lekshmi Narayanan

BCom

“It was interesting to learn about a new topic which was predominant in the world. The videos were short and kept me engaged throughout the course.”

AI in Practice: Tools, Applications and Ethics

Overview

Credentials and Certification

Students exploring industry-relevent skills

Professionals planning to upskill and reskill

Faculty building digital deployment literacy

Course Menu

COURSE DELIVERY