Become an Industry-Ready AI in Business Strategy

To prepare managers and aspiring leaders to understand and integrate Artificial Intelligence (AI) into business strategy, driving data-informed decision-making and digital transformation.

Program Objective

To prepare managers and aspiring leaders to understand and integrate Artificial Intelligence (AI) into business strategy, driving data-informed decision-making and digital transformation.
 

Key Features

Learn Complete AI & ML Skillsets
Build strong foundations in Python, data preprocessing, ML algorithms, deep learning, and model deployment — all in one internship.
Build Real AI/ML Projects
Work on practical projects such as prediction models, neural networks, image classification, NLP-based tools, and end-to-end ML pipelines.
Mentorship from Industry AI Professionals
Learn directly from experienced ML engineers and data scientists working on production-grade AI systems.
Beginner-Friendly with Progressive Advancement
Start with the basics and move toward advanced ML & DL concepts, making it suitable for students from all engineering branches.

Curriculum Structure

Topics Covered:

  • Introduction to Responsible & Ethical AI
  • The role of AI in modern business transformation

  • Risks of unethical AI in enterprises

  • Trust, transparency & competitive advantage

  • Global trends in AI regulation and governance

  • Case studies of AI success & failures

Topics Covered:

  • Embedding Responsible AI into business strategy

  • AI risk assessment frameworks

  • Aligning AI initiatives with organizational values

  • Stakeholder mapping & impact analysis

  • Ethical decision-making in leadership

  • Building cross-functional AI governance teams

Topics Covered:

  • Ethical AI-driven business models

  • Sustainable & trustworthy AI innovation

  • Digital transformation with governance controls

  • AI maturity models & readiness assessment

  • Responsible AI adoption roadmap

  • Competitive differentiation through ethical AI

Topics Covered:

  • Data governance frameworks

  • Bias detection in business analytics

  • Responsible data collection & management

  • Privacy-preserving data strategies

  • AI performance monitoring & risk dashboards

  • Transparent reporting mechanisms

Topics Covered:

  • Designing Responsible AI policies

  • Regulatory compliance overview (GDPR, AI Act basics)

  • Accountability frameworks

  • Model risk management

  • Ethical impact assessments

  • Human-in-the-loop governance systems

Topics Covered:

  • Identify a real-world AI use case

  • Conduct ethical & risk assessment

  • Develop bias mitigation strategy

  • Design governance & compliance framework

  • Create a Responsible AI implementation roadmap

  • Present a strategic AI proposal to a mock leadership board

Topics Covered:

  • Career opportunities in Responsible AI

  • Leadership & ethical decision-making skills

  • Business communication & stakeholder management

  • Resume & portfolio building

  • Case study discussions & interview preparation

Tools & Softwares

Salary Scale

Maximum
35 LPA
Average
20 LPA
Minimum
10 LPA

Career Roles

FAQ's

Yes. You'll receive VTU-compliant certificates and documentation.

No. The program starts from fundamentals and scales gradually.

Prediction models, CNN-based classifiers, NLP applications, and a full ML pipeline.

Yes — resume, LinkedIn, GitHub, mock interviews & job guidance.

Offered in both offline and hybrid formats.

Yes, you will receive a verified completion certificate from Rooman Technologies upon meeting all requirements.

CSE, ISE, AIML, ECE, EEE, Civil, Mechanical and all final-year VTU students.

Python, Scikit-learn, TensorFlow, Pandas, Kaggle workflows, cloud ML basics.

Contact Us

Have questions about our programs or need guidance? Reach out to us and we’ll be happy to help.

Email Us

online@rooman.net

Call Us

080 6945 1000

Send us a Message

Contact Us

Have questions about our programs or need guidance? Reach out to us and we’ll be happy to help.

Email Us

online@rooman.net

Call Us

080 6945 1000

Send us a Message


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