A foundation-level program designed to help professionals understand the complete Generative AI ecosystem — including models, tools, platforms, use cases, and governance — enabling confident adoption of GenAI across business, technology, and project environments.
- Understand the complete Generative AI landscape
- Learn LLMs, prompts, agents, copilots & AI workflows
- Explore OpenAI, Google Gemini, Anthropic, Meta & more
- Business-ready GenAI use cases and implementation models
Syllabus
| Module 1: Introduction to Generative AI | What is Generative AI; traditional AI vs Generative AI; history and key applications. |
| Module 2: Understanding Generative AI Models | Overview of LLMs; how ChatGPT-style tools work; image generation models such as DALL·E. |
| Module 3: Prompt Engineering & Best Practices | Introduction to prompt engineering; frameworks; prompts for summarization, ideation and analysis. |
| Module 4: Ethics and Responsible AI | Ethical concerns; bias, hallucination and misinformation; data privacy and governance. |
| Module 5: Future Trends & AI Automation | Impact of GenAI on the future of work; AI copilots; workflow automation; enterprise adoption. |
| Module 6: Business Use Cases & Implementation | GenAI in project management, quality, operations, marketing, HR and analytics. |
Exam / Assessment Details
- Course Type: GenAI Landscape Foundation Program
- Assessment: Knowledge checks & final assessment
- Exam: No external certification exam
- Certificate: Worknow GenAI Foundation Certificate
- Certification Validity: Lifetime
Who This Course Is For
- Project Managers & Quality Professionals
- Business Leaders and Consultants
- IT and Digital Transformation Teams
- Students and fresh graduates
- Non-technical learners entering AI
Prerequisites
No programming knowledge, prior AI/ML background, or advanced technical skills required — basic computer and internet skills are sufficient.
Learning Outcomes
- Understand Generative AI Fundamentals
- Explore the GenAI Landscape & Ecosystem
- Use Prompt Engineering Effectively
- Apply GenAI in Real-World Business Scenarios
- Understand Ethics, Risks & Responsible AI
- Prepare for the Future of Work with GenAI
Training Breakdown
| Session 1 (4 Hours): Introduction to Generative AI | AI vs Generative AI; history and evolution; key concepts: tokens, parameters, datasets. |
| Session 2 (4 Hours): Understanding GenAI Models & Tools | How LLMs work; ChatGPT and conversational AI; DALL·E; popular GenAI tools. |
| Session 3 (4 Hours): Prompt Engineering & Practical Use | Prompt structures and frameworks; writing prompts for summarization and analysis. |
| Session 4 (4 Hours): Ethics, Risks & Responsible AI | Data ethics; bias and hallucination; privacy and security; human-in-the-loop. |
| Session 5 (4 Hours): Future Trends & Business Transformation | Future of work; automation trends; AI copilots; case studies; final assessment. |
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