Prompt Engineering & Generative AI Applications

Course Content

 

Module 1: Generative AI Fundamentals 

• Introduction to generative models 

• LLM architecture overview 

• Tokens and embeddings 

• Common use cases 

 

Module 2: Prompt Engineering Techniques 

• Zero-shot and few-shot prompting 

• Chain-of-thought prompting 

• Role and persona prompting 

 

Module 3: Advanced Prompt Design 

• Prompt chaining 

• Structured outputs 

• Guardrails and prompt safety 

 

Module 4: RAG Fundamentals 

• Vector embeddings 

• Vector databases 

• Retrieval pipeline design 

 

Module 5: Building a RAG Knowledge Bot 

• Chunking strategies 

• Indexing and retrieval tuning 

• Evaluating RAG quality 

 

Module 6: Multimodal AI 

• Image generation models 

• Vision-language models 

• Audio and speech AI 

 

Module 7: AI Content Generation 

• Marketing copy generation 

• Content calendars 

• Brand voice tuning