Generative AI for Everyone
Duration
1 Day
Level
Basic Level
Design and Tailor this course
As per your team needs
Overview
This one-day, hands-on course is designed to introduce professionals across all roles to the transformative potential of Generative and Agentic AI. Participants will explore how AI can improve productivity, enhance creativity, support decision-making, and be used responsibly—without needing a technical background. Through relatable examples, practical exercises, and real-world scenarios, learners will develop the confidence and skills to integrate AI into their daily work.
By the end of this course, participants will be able to:
- Understand the fundamentals & potential of Generative AI across industries & roles
- Apply generative thinking to improve productivity in daily work through task automation, idea generation, and information synthesis
- Craft effective prompts to guide AI systems toward more useful & relevant outcomes
- Explore the potential of autonomous AI agents for decision-making and innovation
- Practice ethical and responsible use of AI, ensuring fairness, transparency, & accountability
Audience
This course is designed for everyone in the organization, including:
- Frontline staff looking to automate repetitive tasks
- Managers aiming to streamline team workflows
- Executives and decision-makers exploring strategic innovation
- HR, Finance, Marketing, IT, Operations, and other functional professionals
- Non-technical professionals curious about AI’s everyday impact
Prerequisites
- Basic Digital Literacy
- Openness to Experimentation
- Access to approved Generative AI tools
- Curiosity about improving productivity and innovation using Gen AI
Curriculum
What is Generative AI vs. Traditional AI?
-
Clear definitions and key differences
-
Business impact within the insurance ecosystem
-
How Generative AI differs from rule-based and predictive AI systems
Anatomy of Modern AI Systems
-
Understanding Large Language Models (LLMs)
-
Natural Language Processing (NLP) fundamentals
-
Domain-trained and industry-adapted models
-
Application of these technologies within insurance workflows
Key AI Terminology Explained
-
Models
-
Training data
-
Inference
-
Hallucinations, with insurance-based examples
AI Output Types in Insurance
-
Text: Policy wording, endorsements, client communication
-
Image: Damage photo analysis and claims documentation
-
Code: Automation scripts and workflow enhancements
-
Audio: Call summaries and customer interaction insights
Cross-Industry vs. Insurance-Specific Use Cases
Cross-Industry Applications
-
Banking
-
Retail
-
Healthcare
-
Enterprise customer support
Insurance-Specific Applications
-
Risk scoring and premium pricing models
-
Policy document generation tailored to individual clients
-
Claims image summarization and fraud detection
AI as a “Thought Partner,” Not a Replacement
-
AI as an augmentation tool for decision-making
-
Human oversight in underwriting, claims, and compliance
-
Maintaining regulatory accountability
The 80–20 Mindset in Insurance AI
-
AI handles structured drafts and first-level outputs
-
Drafting policy terms
-
Generating claim summaries
-
-
Humans validate, refine, and approve final decisions
- What is Agentic AI? Understanding AI agents that act, decide, and adapt
- From assistants to collaborators: imagining intelligent task handlers
- Creative thinking: Designing your ideal digital co-worker
- Misinformation, bias, and “hallucinations” in AI systems
- Fairness and inclusion: who is represented in AI outputs?
- Copyright, transparency, and data use concerns
What is an Agent Type?
- Zero-Shot ReAct → reasoning + acting without examples
- Conversational Agent → context retention in dialogue
- Multi-Function Agent → when multiple tools are available
- OpenAI Function Calling Agent → structured tool invocation
- Use Cases:
- Zero-Shot for ad hoc queries
- Conversational for chatbots
- Multi-Function for data workflows
- Hands-on: test the same query with different agent types and compare behavior
Duration
1 Day
Level
Basic Level
Design and Tailor this course
As per your team needs
