Mastering Prompt Engineering For Genai - Practical Workshop

Learn Effective Prompt Engineering with lectures, quizzes, real world use cases with hands-on demos and exercises

What you'll learn

Introduction to Prompt Engineering

Getting Started with Prompt Anatomy

Fine Tuning the Language for Better Responses

Prompt Engineering Frameworks

Standard Use Cases - Hands-on Demos

Revolutionlizing HR & Recruitment Process - Hands-on Demos

Hands-On Demos - Corporate Trainings (L&D)

Development Optimization in IT - Hands-on Demos

Trending Hands-on Use cases for Music Composition, Power Point Presentations, Interview Preparation and more

ToolSet Used - ChatGPT, Copilot, Gemini, LimeWire, Visme

Requirements

No prior experience is required

Laptop/Desktop with Internet Connectivity anfd that's it

Description

What's Covered in this Course?The "Mastering Prompt Engineering for GenAI - Practical Workshop" course is designed to accommodate learners of all levels, from beginners to experienced professionals looking to explore the world of GenAI with effective Prompt Engineering. This course serves as a foundational pillar in Effective Prompt Engineering for GenAI, enabling you to extract accurate and meaningful responses from AI systems.You will start with the basics of Prompt Engineering, including fundamentals of LLMs, Prompt Anatomy, and essential concepts. The course also covers Prompt Engineering Frameworks, Refining Prompts, and Responsible Prompt Engineering. Practical, hands-on use cases across various domains like HR, Development, L&D, and Art are demonstrated with tools including ChatGPT, Copilot, Visme, LimeWire, and Gemini. It concludes with best practices, safety considerations, and ethical guidelines.Whether you're new to GenAI/Prompt Engineering or aiming to deepen your understanding, this course is tailored to meet your needs.What is Prompt Engineering?Prompt engineering is a crucial aspect of working with GenAI systems. It involves crafting clear and specific instructions or queries to interact with GenAI models effectively. By formulating precise prompts, users can extract accurate and meaningful responses from AI systems, enhancing their performance and usability. It plays a vital role in ensuring that AI systems align with user requirements and can be used efficiently in various applications.Legal Notice:ChatGPT is an open-source, community-driven software managed by the OpenAI. ChatGPT/OpenAI and the ChatGPT/OpenAI  logo are trademarks or registered trademarks of The OpenAI in one or many countries. The OpenAI and other parties may also have trademark rights in other terms used herein. This course is not certified, accredited, affiliated with, nor endorsed by The OpenAI.Course Structure:LecturesDemosQuizzesAssignmentsCourse Contents:Introduction to AI EcosystemGetting Started with Prompt EngineeringLLM's at a GlancePopular Prompt Engineering ToolsetPrompt AnatomyPrompt Engineering FrameworksReal World Use Cases:- Email Composition and Response- Crafting Blog Posts- Image Generation- Summarization- Itineraries- Candidate Screening- Constructive Communication- Personalized Training and Development- Agenda Preparation (TOC)- Preparing Assessments- Agenda Preparation (TOC)Preparing Assessments- Preparation for Interview- Song Lyrics/Poems- Music Composition- Power Point PresentationsPrompt Engineering using ChatGPT, Copilot, Visme, LimeWire, GeminiPotential RisksEthical ConsiderationsBest PracticesAll sections in this course are demonstrated Live, to guide and direct you to create your own local environment, perform all exercises and learn by doing!!!

Overview

Section 1: Introduction

Lecture 1 Course Introduction

Lecture 2 Course Handbook - Mastering Prompt Engineering for GenAI - Practical Workshop

Lecture 3 Checkout - AI Ecosystem for the Absolute Beginners Course

Lecture 4 Introduction to AI, AI Evolution (Optional for Absolute Beginners)

Lecture 5 AI Ecosystem (Optional for Absolute Beginners)

Section 2: Prompt Engineering and LLMs

Lecture 6 Getting Started with Prompt Engineering

Lecture 7 LLM's (Large Language Models) at a Glance

Lecture 8 Popular Prompt Engineering Toolset

Section 3: Core Concepts and Techniques

Lecture 9 Prompt Anatomy

Lecture 10 Demo - Prompt Anatomy

Lecture 11 Fine-tuning the Language

Section 4: Prompt Engineering Frameworks

Lecture 12 Framework | Race

Lecture 13 Framework | Care

Lecture 14 Framework | Ape

Lecture 15 Framework | Create

Lecture 16 Framework | Tag

Lecture 17 Framework | Creo

Lecture 18 Framework | Rise

Lecture 19 Framework | Pain

Lecture 20 Framework | Coast

Lecture 21 Framework | Roses

Section 5: Standard Use Cases

Lecture 22 Demo Use Case1 - Email Composition and Response

Lecture 23 Demo Use Case2 - Crafting Blog Posts

Lecture 24 Demo Use Case3 - Image Generation

Lecture 25 Demo Use Case4 - Summarization

Lecture 26 Demo Use Case5 - Itineraries

Section 6: Use Cases - Revolutionlizing HR & Recruitment Process

Lecture 27 Demo Use Case6 - Candidate Screening

Lecture 28 Demo Use Case7 - Constructive Communication

Lecture 29 Demo Use Case8 - Personalized Training and Development

Section 7: Use Cases - Corporate Trainings (L&D)

Lecture 30 Demo Use Case9 - Agenda Preparation (TOC)

Lecture 31 Demo Use Case10 - Preparing Assessments

Section 8: Use Cases - Development Optimization in IT

Lecture 32 Demo Use Case11 - Code Creation, Debugging, Optimization and Transformation

Section 9: Use Cases - Trending Use Cases

Lecture 33 Demo Use Case12 - Preparation for Interview

Lecture 34 Demo Use Case13 - Song Lyrics/Poems

Lecture 35 Demo Use Case14 - Music Composition

Lecture 36 Demo Use Case15 - Power Point Presentations

Section 10: Refining Prompts

Lecture 37 Enhancing Prompt Performance

Section 11: Responsible Prompt Engineering

Lecture 38 Bias Detection & Mitigation

Lecture 39 Safety Considerations

Lecture 40 Ethical Guidelines

Section 12: Bonus Lecture

Lecture 41 Bonus Lecture

AI & ML Engineers,Anyone who wants to get started with AI Ecosystem (AI, ML, DL and Generative AI) Journey,Aspiring AI/Generative AI Enthusiasts,Business Professionals and Leaders, Entrepreneurs, CXOs, Business Managers,Data Scientists/Data Engineers