AI for Sector-Specific Roles

AI That Works Where You Do—Unlock Sector-Specific Intelligence

MODE
Mode(Online) TYPE
Mentor Based LEVEL
Moderate

Skills you will gain:

“AI for Sector-Specific Roles” is a specialized multi-track program designed to bridge the gap between artificial intelligence and real-world industry workflows. Instead of generic AI education, this program delivers focused, role-based learning tailored to sectors such as healthcare, law, education, finance, marketing, engineering, and public policy. Participants explore case studies, tools, and frameworks specific to their industry, allowing them to apply AI responsibly and productively in their daily professional environment.

Aim:

To equip professionals with domain-specific knowledge and practical AI applications tailored to their industry—empowering them to adopt, manage, and innovate with AI tools relevant to their field of work.

Program Objectives:

To contextualize AI applications within specific professional domains
To train professionals in low-code/no-code tools and platforms
To foster a culture of innovation, efficiency, and ethics in AI adoption
To prepare learners for future-ready roles where AI is a core enabler

What you will learn?

Week 1: AI in Knowledge Work & Content-Driven Roles

Module 1: AI in Marketing and Communications

Chapter 1.1: Using AI for Copywriting and Campaign Ideation
Chapter 1.2: Generative AI for Social Media, Email, and SEO
Chapter 1.3: Tools for Brand Voice and Content Consistency (Jasper, Copy.ai)

Module 2: AI in Content Creation and Media

Chapter 2.1: AI in Writing, Journalism, and Editorial Workflows
Chapter 2.2: Text-to-Image and Video Tools (DALL·E, Runway, Synthesia)
Chapter 2.3: AI in Publishing, Scripting, and Podcast Production

Week 2: AI in Operations, Product, and Customer-Facing Roles

Module 3: AI in Customer Support and Experience

Chapter 3.1: Chatbots, Virtual Assistants, and Ticket Automation
Chapter 3.2: Sentiment Analysis, Response Drafting, and Escalation Tools
Chapter 3.3: Building with Customer Service Platforms (Zendesk, Intercom AI)

Module 4: AI for Product Management and Strategy

Chapter 4.1: Using LLMs for Roadmapping, Prioritization, and Research
Chapter 4.2: Competitive Analysis and User Feedback Summarization
Chapter 4.3: Prototyping and User Testing with AI (Figma AI, Galileo)

Week 3: AI in Technical, Financial, and Legal Roles

Module 5: AI in Data-Heavy and Analytical Roles

Chapter 5.1: AI in Finance – Forecasting, Reporting, and Risk Detection
Chapter 5.2: AI for Analysts – Dashboards, Summarization, and Query Assistants
Chapter 5.3: Prompting for Data Exploration with Chat-based Tools (ChatGPT, Claude, Excel Copilot)

Module 6: AI in Law, Compliance, and Policy

Chapter 6.1: Contract Drafting and Review with Generative AI
Chapter 6.2: AI in Regulation Tracking and Case Law Research
Chapter 6.3: Ethical, Legal, and Privacy Considerations for Professionals

Intended For :

Working professionals and domain experts in any sector
Mid-level managers, educators, researchers, and consultants
No prior coding or AI background required
Ideal for upskilling or transitioning into AI-enhanced roles