Target Participants
Business Professionals
Marketing, product, and operations managers seeking AI driven efficiency.
IT & Digital Transformation Leaders
Implementing AI tools in business processes.
Consultants & Analysts
Advising organizations on AI adoption
Course Objectives
After completion of the training, you will master the following
1
Understand generative AI technologies, capabilities, and limitations.
2
Explore business applications for content, data, and process automation.
3
Implement ethical and responsible AI practices.
4
Integrate Gen AI into workflow, innovation, and strategic projects.
5
Evaluate risks, biases, and governance considerations.
Expected Learning Outcomes
Participants will be able to:
Explain generative AI models and their business applications.
Design AI-powered workflows to increase productivity and innovation.
Identify and mitigate ethical and bias risks.
Apply AI to content generation, analytics, and decision support.
Develop frameworks for organizational AI adoption.
Pedagogical Approach
Case Studies
Generative AI in media, finance, and operations.
Hands-On Labs
Using AI tools for content, code, and data generation.
Workshops
AI strategy and adoption planning.
Capstone Project
Implement a Gen AI solution for a business challenge.
Curriculum Modules
Module 1
Introduction to Generative AI and Large Language Models
Module 2
AI Architecture and Workflow Integration
Module 3
Business Applications of Gen AI
Module 4
Ethical AI and Bias Mitigation
Module 5
AI-Driven Content Creation and Automation
Module 6
AI Governance and Risk Management
Module 7
Case Studies: Industry Applications
Module 8
Capstone: Implementing a Gen AI Project
Delivery & Assessment
Format: Online interactive sessions, corporate workshops, self-paced modules.
Assessment: Case studies, financial analysis exercises, and capstone submission.
Reviews
There are no reviews yet.