AI in Practice: Tools, Applications and Ethics

SKILLS: AI fundamentals | Practical tool application | Ethical evaluation

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Overview

The course introduces students across disciplines to AI fundamentals, practical tools, and ethical considerations. Covering AI evolution, domain-specific applications, and responsible AI frameworks, this 1-credit hybrid course equips learners to understand, apply, and critically evaluate AI in academic and professional contexts while upholding global ethical standards.

START DATE

Jul 01 2026

END DATE

Oct 15 2026

Delivery Mode

Online

Duration

15 Hours

Type

Theory

Course Fee

Free

Credentials and Certification

1 Credit

Course Category Micro-Credentials (Essential)

TARGET AUDIENCE CHRIST University students

Digital Credential

indicating verified micro-credential completion.

RECOMMENDED FOR

Students exploring industry-relevent skills

Professionals planning to upskill and reskill

Faculty building digital deployment literacy

COURSE DELIVERY

Action-based learning materials with guided assessments and faculty support.

Course 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