Free Download Mastering Prompt Engineering For Genai – Practical WorkshopPublished 5/2024
MP4 | Video: h264, 1920x1080 | Audio: AAC, 44.1 KHz
Language: English | Size: 749.22 MB | Duration: 2h 29m
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
Homepage
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