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AI for Everyone – Course Syllabus

AI Literacy for Business Leaders & Non-Technical Professionals

Duration: 16–20 Hours (Weekend Live Program)
Mode: Online / Classroom
Prerequisites: None (No Coding Required)

Course Curriculum

Module 1: Introduction to Artificial Intelligence

2 Hours
  • What is Artificial Intelligence?
  • History and Evolution of AI
  • AI vs Machine Learning vs Deep Learning
  • Generative AI Explained
  • Narrow AI vs General AI
  • AI Terminologies Every Professional Should Know
  • AI Myths vs Reality

Module 2: How AI Works (Without Coding)

2 Hours
  • How Machines Learn
  • Training Data vs Models
  • Supervised Learning
  • Unsupervised Learning
  • Reinforcement Learning
  • Large Language Models (LLMs)
  • AI Lifecycle

Module 3: Generative AI & Modern AI Tools

3 Hours
  • ChatGPT
  • Microsoft Copilot
  • Google Gemini
  • Claude AI
  • Perplexity AI
  • NotebookLM
  • AI Image & Video Generation
  • Prompt Engineering Fundamentals
  • Writing Effective AI Prompts
Hands-on Demonstrations

Module 4: AI Use Cases Across Industries

2 Hours
  • Banking & Financial Services
  • Healthcare
  • Retail & E-commerce
  • Manufacturing
  • Telecom
  • Insurance
  • Human Resources
  • Marketing & Sales
  • Customer Service
  • Government & Public Sector
Real Business Case Studies

Module 5: AI in Business Functions

2 Hours
  • AI for Finance
  • AI for HR
  • AI for Marketing
  • AI for Operations
  • AI for Supply Chain
  • AI for Customer Support
  • AI for Risk Management
  • AI for Decision Making

Module 6: AI Strategy & Digital Transformation

2 Hours
  • Building an AI Strategy
  • AI Adoption Roadmap
  • Identifying AI Opportunities
  • AI Project Lifecycle
  • AI ROI
  • Change Management
  • AI Readiness Assessment

Module 7: Responsible AI, Governance & Compliance

3 Hours
  • Responsible AI Principles
  • AI Governance Framework
  • AI Risks
  • Bias and Fairness
  • Explainable AI
  • AI Ethics
  • Data Privacy
  • India's Digital Personal Data Protection Act (DPDPA)
  • GDPR Overview
  • AI Security
  • Human Oversight

Module 8: Data Foundations for AI

2 Hours
  • Why Data Matters
  • Data Quality
  • Metadata
  • Data Governance Basics
  • Master Data Management
  • Data Catalog
  • Data Lineage
  • Enterprise Data Strategy

Module 9: AI Tools Productivity Workshop

2 Hours

Practical Demonstrations using:

  • ChatGPT
  • Microsoft Copilot
  • Google Gemini
  • Claude AI
  • Perplexity
  • Gamma AI
  • Canva AI
  • NotebookLM

Business Productivity Scenarios

  • Email Writing
  • Presentation Creation
  • Report Generation
  • Meeting Summaries
  • Market Research
  • Data Analysis
  • Proposal Writing
  • Content Creation

Module 10: AI Future & Career Readiness

2 Hours
  • Future of AI
  • AI and Jobs
  • Skills for the AI Era
  • AI Career Opportunities
  • AI Governance Careers
  • AI Policy & Compliance
  • Continuous Learning Roadmap
  • Capstone Discussion

Capstone Activity

Participants will:

  • Identify an AI opportunity within their organization
  • Prepare a simple AI adoption proposal
  • Evaluate business benefits and risks
  • Present an AI implementation roadmap

Learning Outcomes

After completing this program, participants will be able to:

Understand AI concepts without technical knowledge
Identify AI opportunities in business processes
Evaluate AI tools for workplace productivity
Build an AI adoption roadmap
Understand AI governance, ethics, and compliance
Collaborate effectively with AI and technical teams
Make informed AI-driven business decisions

Who Should Attend?

CXOs & Business Leaders
Directors & Senior Managers
Business Analysts
Project Managers
Product Managers
HR Professionals
Finance Professionals
Marketing Professionals
Operations Teams
Data Governance Professionals
Compliance & Risk Teams
Consultants
Entrepreneurs
Students and Working Professionals

Certification

AI for Everyone – Certificate of Completion

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