Applied Generative AI & Prompt Engineering
About Course
- Intro to AI & Generative Models, LLM basics
- Prompting techniques: zero-shot, few-shot, chain-of-thought
- Retrieval-Augmented Generation (RAG), embeddings, vector DBsF
- ine-tuning (LoRA, PEFT), custom datasets
- Evaluation & safety (bias, toxicity, hallucination handling)
- APIs (OpenAI, Anthropic, Hugging Face) — building AI appsAd
- vanced prompting for coding, summarization, Q&A
- Multi-modal models (text + images/audio/video)
- AI product design, workflow integration
- Deployment strategies (Docker, serverless AI endpoints)Monitoring & observability of LLMs in production
Capstone Project: Build & present an AI-powered assistant
Course Content
Introduction
ML Basics, Supervised Learning
Regression, Classification
Student Ratings & Reviews
No Review Yet