AI_Generative_PromptEngineering — ChatGPT, LLM fundamentals, custom AI apps

About The Course

Dive into the future of AI with this practical course on prompt engineering and generative AI. Understand how Large Language Models (LLMs) like ChatGPT work, learn to design effective prompts, and explore how to integrate AI into real-world applications.

Module 1: Introduction to Generative AI & LLMs

• What is Generative AI?

• Introduction to Large Language Models (LLMs)

• LLMs in Action: ChatGPT, Claude, Gemini, Mistral

• OpenAI API vs Open Source (LLaMA, Mistral, etc.)

• Use Cases across Industries

Module 2: Prompt Engineering Fundamentals

• Anatomy of a Good Prompt

• Prompt Types: Zero-shot, One-shot, Few-shot

• Temperature, Max Tokens, Top_p: How They Work

• Role Prompting & System Messages

• Common Mistakes and Debugging Prompts

Module 3: Advanced Prompting Techniques

• Chain of Thought (CoT) Prompting

• Self-Consistency & ReAct

• Retrieval-Augmented Generation (RAG) Basics

• Multi-Turn Conversations & Context Management

• Evaluation & Tuning of Prompts

Module 4: Building with AI APIs

• Getting Started with OpenAI API (ChatGPT/GPT-4)

• Using HuggingFace Transformers

• Introduction to LangChain / LlamaIndex

• Connecting Prompts to Code (Python & JS examples)

• Cost Optimization & API Rate Limits

Module 5: Custom AI App Development

• Create a Chatbot using GPT API

• Build a Writing Assistant / AI Tutor

• AI for Workflow Automation (Notion, Slack, Docs)

• Frontend + Backend: Build & Deploy a Chat App

• Hosting with Streamlit, Gradio, or Next.js

Module 6: Capstone Project & Certification

• Choose from 3 project tracks:

  1. AI Chatbot for Education

  2. Content Generator for Marketing

  3. AI Assistant for Workflow Automation

• Submit Code + Demo Video + Prompt Document

• Get peer-reviewed & certified by OrlegacyTech