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Overview

This course dives into Generative AI (GenAI) and Prompt Engineering, providing essential skills and knowledge to excel in these advanced areas of artificial intelligence. With a balanced blend of theory and hands-on practices, you'll master core AI concepts, explore NLP fundamentals, and build tangible Large Language Model (LLM) applications that turn your ideas into reality.

Course Objectives:

  • Establish a Foundation: Learn the history, key concepts, and evolution of AI, with a particular emphasis on generative AI models. Understand the basics of Natural Language Processing (NLP) and the significance of prompt engineering.
  • Develop Skills: Build essential skills in prompt engineering techniques and design. Gain hands-on experience integrating prompt engineering with advanced AI models—including both open-source models (e.g., Meta's Llama family) and proprietary models (e.g., OpenAI's GPT series)
  • Apply Knowledge: Put theory into practice with dedicated modules on the practical implementation of AI solutions. Engage in hands-on coding exercises and assignments to develop LLM-powered chat-based applications, implement Retrieval-Augmented Generation (RAG) techniques, and build intelligent agents.

Agenda/Schedule

Class Dates: September 1 - October 12th, 2025
Registration End Date: Friday, August 29, 2025

All sessions are hosted virtually, with each session lasting approximately 2 hours.

  1. Introduction to AI and Generative AI 
  2. Foundations of Natural Language Processing (NLP) and Prompt Engineering
  3. Prompt Engineering Techniques and Design
  4. Integrating Prompt Engineering with Models
  5. Practical Implementation of Retrieval-Augmented Generation (RAG)
  6. Building and Implementing AI Agents
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