Curriculum

Module 1: Introduction to Generative AI

• What is Generative AI?
• Difference between traditional AI and generative AI
• Real-world AI applications

Module 2: Large Language Models (LLMs)

• How LLMs are trained and fine-tuned
• Tokens, context, embeddings, and prompting
• Popular LLM tools and use cases

Module 3: Prompt Engineering

• Prompt structure and design
• Zero-shot, few-shot, and chain-of-thought prompting
• Prompt optimization for quality and accuracy

Module 4: AI Workflows and Applications

• Writing and summarization
• Research assistance and productivity tools
• Business workflow automation using AI

Module 5: Ethics, Safety, and Responsible AI

• Bias and hallucination
• Responsible AI practices
• Human review and safe deployment