Executive Programme in Generative AI and Agentic AI Tools for Business

• Learn how LLMs generate responses

• Understand high-level architecture

• Compare models using business criteria,

• Match LLM strengths to real use cases, and improve output quality by fixing causes of incomplete or incorrect responses

• Design clear prompts using zero-shot, few-shot, and role-based methods

• Improve reliability with anchors and iterative refinement

• Generate structured outputs, and fine-tune style and depth using generation controls

• Categories of AI tools for business, selecting tools by value–simplicity–cost–safety,

• Understanding simple integrations

• Mapping tools to daily workflows, and staying updated on emerging tools and trends

• Identify parts of a workflow to automate

• Break them into clear steps

• Build multi-step no-code automations with alerts and approvals, and apply them across HR, Ops, Sales, Product, Finance, and Marketing

• Turn one long document into multiple usable assets

• Create cross-functional communication outputs

• Build automated presentations, and generate auto-updating decks with new data and insights

• Structure and prepare data for dashboards

• Connect multiple data sources

• Build automated dashboards with KPI views

• Connect dashboards to AI for insights

• Identify patterns–trends–anomalies

• Auto-generate weekly leadership summaries

• Turn data into decisions and clear next steps

• Pull and summarise market signals, auto-compare competitors and track weekly changes, turn multi-source data into trends–opportunities–risk alerts, and generate decision-ready summaries, scorecards, and opportunity maps

• Create assistants that understand your role

• Inject context using documents (PRDs, policies, SOPs, reports)

• Set tone–style–memory for consistent responses

• Explore how assistants support HR, Sales, Ops, and Customer Success

• Turn policies, reports, and SOPs into a searchable knowledge base

• Make AI give answers backed by documents

• Organise documents for fast and accurate retrieval

• Explore RAG use cases across HR, Ops, Sales, and Support

• Connect AI to multiple sources (PDFs, Sheets, websites, dashboards)

• Make AI read from all locations and produce one combined answer

• Improve accuracy when information is split across multiple sources

• Create multiple agents that work together on end-to-end workflows

• Use MCP for safe file access and data fetching

• Define clear agent roles

• Set consistent tone and memory

• Add guardrails for accuracy and permissions

• Enable smooth handoffs between agents

• Responsible AI principles & ethical risk identification

• Bias–fairness–privacy safeguards

• Data protection in practical AI usage

• Output verification with human-in-the-loop controls

• Building trustworthy and compliant AI workflows

• Combine your AI assistant, knowledge base, and automations into one workflow

• Solve a complete real-world business problem end-to-end

• Create clear handover guides and SOPs

• Present a final demo with a simple impact report

• Develop an AI Use Case for Your Organization

• Writing Effective Prompts & Strategic Use Cases

• Risk Awareness and Mitigation with GenAI

• Formulating a Business Goal with AI Assistance

• Evaluating AI Output

• Final Quiz and Course Wrap-up

• Models for Generative AI

• Platforms for Generative AI :

• Pre-trained Models: Text-to-Text Generation

• Pretrained Models: Text-to-Image Generation

• Pretrained Models: Text-to-Code Generation

• IBM watsonx.ai: generative AI for Business

• Hugging Face: Open Source Generative AI

• Course Quiz, Project, and Wrap-up

This programme is designed to help professionals apply AI concepts directly to real-world business use cases, with a strong emphasis on practical, workplace relevance rather than theoretical learning.

Unlike programmes that rely heavily on asynchronous video lectures, this programme is primarily live online and synchronous, focusing on real business scenarios, expert-led discussions, and immediate applicability at work.

The entire programme curriculum will be taught by Domain Experts and will also include few live exclusive masterclasses by IITM Pravartak guest faculty. The programme follows a 100% live online delivery format, with weekly sessions conducted by domain experts on the weekends. Schedule for faculty masterclass will be shared post programme orientation.

To receive the Certificate of Completion, learners must:

• To receive the completion certificate, the participants must score a minimum of 70% in their exams and successfully complete the capstone project.

• Overall, 50% attendance in both domain-expert led live sessions and live faculty masterclasses are required to achieve programme completion.

Yes, the programme is graded. The grading frameworks for assignments are developed in partnership with Domain Experts and the Emeritus grading team. Learners who meet the passing criteria will receive an e-certificate of completion from IITM Pravartak and 3 IBM industry certifications.

The GenAI & Agentic AI Tools Programme is built for faster, business-ready impact. It emphasises hands-on use of no-code/low-code GenAI and agentic tools, real workplace workflows, and immediate productivity gains—without the overhead of deep programming. It’s more accessible, shorter, and cost-effective, making it ideal for managers, domain professionals, consultants, and founders who want to apply Agentic AI now, not engineer it from scratch.