A hands-on practitioner-level program designed to help professionals apply Generative AI tools confidently in real-world business scenarios — advanced prompt engineering, workflow automation, AI productivity techniques, and responsible AI practices.
- Comprehensive understanding of the Generative AI ecosystem
- Hands-on practice with ChatGPT, DALL·E & leading GenAI tools
- Advanced prompt engineering frameworks and techniques
- Business use cases across project, quality, operations & management
Syllabus
| Module 1: Introduction to Generative AI | Fundamentals and importance of Generative AI; core concepts: data, training, inference. |
| Module 2: Major AI Models and Tools | LLMs; transformers and diffusion models; multimodal systems; ChatGPT, DALL·E, Gemini, Copilot. |
| Module 3: Prompt Engineering | Prompt structure and components; zero-shot, few-shot and role-based prompting; optimization techniques. |
| Module 4: Ethical AI Adoption | AI ethics and responsible AI; bias, hallucination and misinformation risks; governance frameworks. |
Exam / Assessment Details
- Course Type: GenAI Landscape Foundation
- Assessment: Online knowledge assessment, 30–40 questions, 60 minutes
- Passing Criteria: 60%
- Certification: Worknow GenAI Landscape Foundation Certificate
- Validity: Lifetime
Who This Course Is For
- Students and fresh graduates
- Project and quality management professionals
- Business analysts and consultants
- Managers and team leaders
- Non-technical professionals entering AI
Prerequisites
No prior AI or programming experience, mathematics, or data science background required; basic computer literacy recommended.
Learning Outcomes
- Understand the GenAI Landscape
- Differentiate Major GenAI Models & Architectures
- Apply Advanced Prompt Engineering Techniques
- Use GenAI Tools for Business Productivity
- Implement Responsible & Ethical AI Practices
- Design GenAI-Enabled Automation Strategies
Training Breakdown
| Session 1 (4 Hours): Introduction to Generative AI | GenAI vs traditional AI; GenAI concepts and terminology; LLMs, transformers and foundation models. |
| Session 2 (4 Hours): GenAI Ecosystem and Tools | Popular platforms: ChatGPT, Gemini, Claude, Copilot; multimodal AI tools; model selection. |
| Session 3 (4 Hours): Prompt Engineering & Model Optimization | Prompt structures; advanced prompt design; few-shot, zero-shot, chain-of-thought prompting. |
| Session 4 (4 Hours): Industry Applications & Workflow Automation | GenAI in business and marketing; HR, finance, operations, analytics; workflow automation. |
| Session 5 (4 Hours): Ethical AI, Governance & Future Trends | Ethical considerations; bias, fairness, privacy; final assessment and practitioner certification guidance. |
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