AI for Sector-Specific Roles
AI That Works Where You Do—Unlock Sector-Specific Intelligence
Early access to e-LMS included
About This Course
“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
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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
Program Structure
Week 1: AI in Knowledge Work & Content-Driven Roles
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 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
Week 2: AI in Operations, Product, and Customer-Facing Roles
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 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)
Week 3: AI in Technical, Financial, and Legal Roles
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 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
Who Should Enrol?
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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
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
Fee Structure
Discounted: ₹21499 | $249
We accept 20+ global currencies. View list →
What You’ll Gain
- Full access to e-LMS
- Real-world dry lab projects
- 1:1 project guidance
- Publication opportunity
- Self-assessment & final exam
- e-Certificate & e-Marksheet
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