Curriculum
- 5 Sections
- 29 Lessons
- 1 Day
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- The GenAI Revolution – Concepts, Capabilities & Corporate Relevance5
- 1.1Evolution of Generative AI – from machine learning to large language models (LLMs)
- 1.2Transformers, Fine-tuning, Prompt engineering, Embeddings, Hallucinations, Multimodality, Foundation Models
- 1.3Overview of GenAI’s corporate impact – productivity, creativity, and strategic transformation
- 1.4The GenAI ecosystem: OpenAI, Anthropic, Google Gemini, Mistral, and enterprise tools
- 1.5Discussion: Identify potential AI touchpoints within business functions
- From Strategy to Execution – Embedding GenAI in Business Functions9
- 2.1Framework for enterprise AI adoption – Strategy → Use Cases → Governance → Scale.
- 2.2Marketing: Personalized content generation, campaign optimization
- 2.3Finance: Report automation, predictive analytics, risk modeling
- 2.4HR: Talent screening, learning personalization, policy drafting
- 2.5Operations: Workflow optimization, predictive maintenance, supply chain visibility
- 2.6Sales: Proposal drafting, lead scoring, customer engagement bots
- 2.7Case Study 1: AI-driven audit efficiency model
- 2.8Case Study 2: GenAI use in marketing and procurement analytics
- 2.9Exercise: Identify 2–3 high-impact AI opportunities in their functions
- Data, Ethics, and Responsible AI Deployment5
- 3.1Understanding data governance, model transparency, AI bias, and ethical safeguards
- 3.2Regulatory landscape: EU AI Act, India’s DPDP Act, NIST AI Risk Framework
- 3.3Corporate policies for safe AI deployment – human-in-the-loop, data classification, IP protection
- 3.4RLHF, RAG, Guardrails
- 3.5Exercise: Evaluate an AI use case for risk, bias, and ethical compliance
- Generative AI Tools & Platforms – Hands-on Exploration5
- 4.1Overview of enterprise-grade GenAI tools – ChatGPT Enterprise, Gemini, Copilot, Claude, Jasper, Synthesia, and Writer
- 4.2Prompt engineering techniques for business – zero-shot, chain-of-thought, and persona-based prompting
- 4.3Building AI workflows using integrations (APIs, Power Automate, Zapier, custom copilots).
- 4.4Live Demo & Activity: Design a prompt workflow to automate a business task (report generation / customer email creation).
- 4.5Discussion: Barriers to adoption – data quality, change management, skill gaps
- Building a Future-Ready AI Roadmap for Your Organization5
- 5.1Developing a GenAI strategy aligned with business priorities
- 5.2Identifying ROI metrics: cost savings, cycle-time reduction, and innovation throughput
- 5.3Building internal capability: AI upskilling, cross-functional AI taskforces, CoE (Center of Excellence)
- 5.4Workshop Exercise: Teams design a 6–12 month AI transformation roadmap for their function
- 5.5Discussion: AI-Driven Leadership Mindset – Leading with Curiosity, Control & Creativity
Transformers, Fine-tuning, Prompt engineering, Embeddings, Hallucinations, Multimodality, Foundation Models
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