AI for Sector-Specific Roles
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Course Overview
Table of Contents
Mentor Based
Program Syllabus
Module 1
About
“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.
Module 2
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.
Lead Instructor
Dr. Sarah Chen
PhD in Computational Mechanics from MIT with 15+ years of experience in Industrial AI. Former Lead Data Scientist at Tesla and current advisor to Fortune 500 manufacturing firms.
Limited SeatsClosing Soon
AI for Sector-Specific Roles
Professional Certification Program
🎥
FormatLive + Recorded
📅
Duration8 Weeks
📜
CertificationVerified
Module 3
Program Objectives
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To contextualize AI applications within specific professional domains
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To train professionals in low-code/no-code tools and platforms
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To foster a culture of innovation, efficiency, and ethics in AI adoption
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To prepare learners for future-ready roles where AI is a core enabler
Module 4
Program Structure
Module 5
Module 1: AI in Marketing and Communications
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Chapter 1.1: Using AI for Copywriting and Campaign Ideation
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Chapter 1.2: Generative AI for Social Media, Email, and SEO
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Chapter 1.3: Tools for Brand Voice and Content Consistency (Jasper, Copy.ai)
Module 6
Module 2: AI in Content Creation and Media
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Chapter 2.1: AI in Writing, Journalism, and Editorial Workflows
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Chapter 2.2: Text-to-Image and Video Tools (DALL·E, Runway, Synthesia)
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Chapter 2.3: AI in Publishing, Scripting, and Podcast Production
Module 7
Module 3: AI in Customer Support and Experience
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Chapter 3.1: Chatbots, Virtual Assistants, and Ticket Automation
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Chapter 3.2: Sentiment Analysis, Response Drafting, and Escalation Tools
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Chapter 3.3: Building with Customer Service Platforms (Zendesk, Intercom AI)
Module 8
Module 4: AI for Product Management and Strategy
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Chapter 4.1: Using LLMs for Roadmapping, Prioritization, and Research
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Chapter 4.2: Competitive Analysis and User Feedback Summarization
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Chapter 4.3: Prototyping and User Testing with AI (Figma AI, Galileo)
Module 9
Module 5: AI in Data-Heavy and Analytical Roles
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Chapter 5.1: AI in Finance – Forecasting, Reporting, and Risk Detection
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Chapter 5.2: AI for Analysts – Dashboards, Summarization, and Query Assistants
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Chapter 5.3: Prompting for Data Exploration with Chat-based Tools (ChatGPT, Claude, Excel Copilot)
Module 10
Module 6: AI in Law, Compliance, and Policy
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Chapter 6.1: Contract Drafting and Review with Generative AI
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Chapter 6.2: AI in Regulation Tracking and Case Law Research
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Chapter 6.3: Ethical, Legal, and Privacy Considerations for Professionals
Video Module TOC
~Video content aligned with sector-specific weekly modules
Module 11
Week 1 Videos — Knowledge Work & Content Roles
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Introduction: Why AI for Industry Roles Matters
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Copywriting with AI: Principles and Prompting Tactics
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AI Tools for Social Media Scheduling and Content Generation
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Email and SEO Content Creation Using Jasper and Copy.ai
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Generative AI in Journalism and Editorial Planning
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Image Creation for Marketing: DALL·E, Midjourney, Canva AI
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Video Production with AI: Runway, Synthesia, Descript
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Scripting and Publishing Automation Tools
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Week 1 Summary and Content Role Reflections
Module 12
Week 2 Videos — Customer, Product & Operational Roles
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AI in Customer Support: Chatbots, FAQs, Escalation Handling
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Sentiment Analysis and Tone Matching in Customer Experience
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Building Smart Help Desks: Intercom, Zendesk AI
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Product Research with Generative AI
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Roadmap Creation with ChatGPT and FigJam
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Prototyping Ideas with Figma AI and Uizard
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User Feedback Analysis with LLMs
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Automation and Integration: Zapier, Airtable + AI
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Week 2 Summary and Role-Based Case Review
Module 13
Week 3 Videos — Technical, Financial & Legal Roles
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AI for Financial Forecasting and Report Generation
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Automating Spreadsheet Tasks with Excel Copilot
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Building Analyst Dashboards Using ChatGPT and Notion AI
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Risk Detection and Fraud Insights with AI
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Contract Drafting with LLMs: Legal Benchmarks and Limitations
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Regulation Monitoring Using NLP Tools
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AI in Compliance and Due Diligence Workflows
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Ethics and Privacy Considerations in Regulated Sectors
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Final Reflections and Cross-Sector AI Strategy
Module 14
Live Lecture Module
Module 15
Lecture 1 (Week 1)
Title: Creativity Meets Computation: AI in Content and Communication Work
Duration: 60 minutes
Focus: How marketing, media, and writing professionals can co-create with AI tools
Guest: Content Strategist + Creative Technologist
Interactive: Live copy/prompt challenge – audience submits prompts, compares AI outputs
Module 16
Lecture 2 (Week 2)
Title: Operational Intelligence: Customer and Product Teams with AI
Duration: 75 minutes
Focus: Real-world use cases in customer support, product research, and internal tooling
Guest: Product Manager + CX Automation Engineer
Interactive: Use case simulation – choosing and integrating AI tools for a support workflow
Module 17
Lecture 3 (Week 3)
Title: AI in Regulated Workflows: Risk, Precision, and Productivity
Duration: 90 minutes
Focus: Financial, legal, and compliance workflows enhanced with AI
Guest Panel: Financial Analyst + Legal Tech Expert + Ethics Advisor
Interactive: Policy simulation – balancing automation and accountability in critical sectors
Module 18
Intended For
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Working professionals and domain experts in any sector
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Mid-level managers, educators, researchers, and consultants
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No prior coding or AI background required
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Ideal for upskilling or transitioning into AI-enhanced roles
Module 19
Program Outcomes
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Understand the role and impact of AI in their sector
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Gain confidence using industry-relevant AI tools and techniques
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Identify opportunities to integrate AI into existing workflows
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Collaborate with cross-functional AI teams for project implementation
Module 21
Fee Structure
Fee: INR 21499 USD 249
We are excited to announce that we now accept payments in over 20 global currencies, in addition to USD. Check out our list to see if your preferred currency is supported. Enjoy the convenience and flexibility of paying in your local currency!
List of CurrenciesModule 22
FOR QUERIES, FEEDBACK OR ASSISTANCE
Module 23
Key Takeaways
- Access to e-LMS
- Real Time Project for Dissertation
- Project Guidance
- Paper Publication Opportunity
- Self Assessment
- Final Examination
- e-Certification
- e-Marksheet
Module 24
Future Career Prospects
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AI Adoption Specialist (Sector-Specific)
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AI Project Coordinator
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Domain Expert in Responsible AI Integration
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Sectoral Innovation Lead
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Functional AI Product Manager
Module 25
Job Opportunities
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Healthcare AI Analyst / Clinical Data Scientist
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AI-Enabled Legal Researcher / Tech-Forward Lawyer
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AI in EdTech Curriculum Designer
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Marketing AI Strategist / Customer Intelligence Manager
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AI Engineer (Industry 4.0 applications)
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AI Policy Analyst / Digital Governance Consultant
Module 26
Enter the Hall of Fame!
Take your research to the next level!
Publication Opportunity
Potentially earn a place in our coveted Hall of Fame.
Centre of Excellence
Join the esteemed Centre of Excellence.
Networking and Learning
Network with industry leaders, access ongoing learning opportunities.
Hall of Fame
Get your groundbreaking work considered for publication in a prestigious Open Access Journal (worth ₹20,000/USD 1,000).
Achieve excellence and solidify your reputation among the elite!
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Module 27
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