Prompt Engineering & Generative AI Applications

Course overview:

This course develops mastery of interacting with, optimizing, and deploying Large Language Models. Participants cover generative AI fundamentals, prompt engineering, Retrieval-Augmented Generation (RAG), multimodal AI, and business applications spanning marketing, customer service, HR, and document intelligence.

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

1/2

Module 8: Business Applications I

Customer service AI assistants

HR assistants

Module 9: Business Applications II

Document intelligence

Knowledge management

Module 10: Capstone

Enterprise AI Assistant project work

Project presentations and review

Assessments and Projects:

Weekly quizzes and prompt-design assignments

Lab: RAG Knowledge Bot

Lab: AI Content Generator

Final Project: Enterprise AI Assistant

Staffing Support

Resume Preparation
Mock Interview Preparation
Phone Interview Preparation
Face to Face Interview Preparation
Project/Technology Preparation
Internship with internal project work
Externship with client project work

Our Salient Features:

Hands-on Labs and Homework
Group discussion and Case Study
Course Project work
Regular Quiz / Exam
Regular support beyond the classroom
Students can re-take the class at no cost
Dedicated conf. rooms for group project work
Live streaming for the remote students
Video recording capability to catch up the missed class