Master Prompt Engineering | Basic To Advanced

Learn the Art of Crafting Powerful Prompts for LLM's like Chatgpt, Gemini, Claude & More

What you'll learn

Craft effective prompts for AI models using basic and advanced techniques, generating precise and high-quality outputs tailored to various tasks.

Apply prompt patterns like zero-shot, few-shot, and chain-of-thought, and advanced techniques like persona design and semantic filtering.

Understand and compare the strengths and weaknesses of LLMs like GPT-4, Gemini, and Claude to create prompts optimized for each model.

Refine prompts to improve clarity, engagement, and task-specific effectiveness for diverse real-world applications.

Master tools and techniques like OpenAI Playground and prompt chaining to enhance efficiency and creativity in AI workflows.

Stay future-ready with skills in multimodal AI, fine-tuning, and ethical practices for adapting to the evolving generative AI landscape.

Requirements

No programming experience is needed. You will learn everything you need to know

While mobile devices can be used for viewing course content, hands-on exercises are better suited for a laptop or desktop.

Description

This course is designed to meet the prompt engineering job requirements identified by companies through an analysis of the role's responsibilities and expectations.Unlock the power of Generative AI with Prompt Engineering, the essential skill for mastering AI tools like ChatGPT, Gemini, and more. In this comprehensive course, you’ll learn how to craft effective prompts that yield clear, accurate, and creative outputs from cutting-edge AI models. Starting from the basics and progressing to advanced techniques, this course equips you with the tools to optimize AI for content creation, automation, business innovation, and beyond.What You Will LearnBy enrolling in this course, you will gain:A deep understanding of prompt engineering basics, including zero-shot, few-shot, and chain-of-thought prompting.Advanced skills in leveraging prompt patterns, such as persona creation, semantic filtering, and cognitive verifier techniques.Insights into the strengths and limitations of leading AI models like GPT-4, Gemini, and Claude, and how to tailor prompts for each.Hands-on experience using AI tools like OpenAI Playground and prompt chaining method to refine and optimize prompts.Techniques to analyze, compare, and fine-tune outputs from multiple models for clarity, precision, and engagement.The ability to stay ahead of trends in the evolving Generative AI landscape, from ethical considerations to industry-specific applications.Why You Should Take This ClassIn today’s fast-paced digital world, generative AI is revolutionizing industries—from marketing and content creation to research and product development. But to truly harness its power, you need to communicate effectively with these AI models.No prior experience with AI is required. Whether you’re a tech enthusiast or completely new to the field, this course will guide you from beginner to advanced levels with clarity and support.Enroll NowDon’t miss the opportunity to master the skill that’s shaping the future. Join us and become an expert in Prompt Engineering—your gateway to unlocking the full potential of Generative AI!

Overview

Section 1: Introduction to Prompt Engineering

Lecture 1 What is Prompt Engineering?

Lecture 2 Prompt Design vs Prompt Engineering

Lecture 3 Basics of AI Large Language Models (LLM's)

Lecture 4 How LLM's Process Prompts?

Lecture 5 Applications of Prompt Engineering

Section 2: Foundations of Effective Prompts

Lecture 6 Basic Components of Prompt

Lecture 7 Types of Prompts

Lecture 8 Basic Prompt Patterns : 1. Zero-shot Prompting

Lecture 9 2. Few-shot Prompting

Lecture 10 3. System Instruction Prompting

Lecture 11 4. Role-playing Technique Prompting

Section 3: Intermediate Prompt Engineering

Lecture 12 Structuring Prompts for Optimal Output

Lecture 13 Iterative Prompting

Lecture 14 Context Management - Part 1

Lecture 15 Context Management - Part 2

Section 4: Advanced Prompt Engineering

Lecture 16 Prompt Optimization

Lecture 17 Advanced Prompt Patterns (Part 1) - 1. Ask for Input Pattern

Lecture 18 2. Persona Prompt Pattern

Lecture 19 3. Question Refinement Prompt Pattern - Part 1

Lecture 20 3. Question Refinement Prompt Pattern - Part 2

Lecture 21 4. Cognitive Verifier Prompt Pattern - Part 1

Lecture 22 4. Cognitive Verifier Prompt Pattern - Part 2

Lecture 23 5. Outline Expansion Prompt Pattern

Lecture 24 Advanced Prompt Patterns (Part 2) - 1. Tail Generation Prompt Pattern

Lecture 25 2. Semantic Filter Prompt Pattern - Part 1

Lecture 26 2. Semantic Filter Prompt Pattern - Part 2

Lecture 27 3. Menu Actions Prompt Pattern

Lecture 28 4. Fact Check List Prompt Pattern

Lecture 29 5. Chain of Thought Prompt Pattern

Section 5: Specialized Tools & Techniques in Prompt Engineering

Lecture 30 Prompt Chaining - Part 1

Lecture 31 Prompt Chaining - Part 2

Lecture 32 Prompt Engineering Applications & Use Cases

Lecture 33 Initial Prompt Setup - Helpful Assistant

Lecture 34 Writing Effective Prompts for Different Use Cases - Part 1

Lecture 35 Writing Effective Prompts for Different Use Cases - Part 2

Lecture 36 How to Write Advanced Image Prompts using ChatGPT

Lecture 37 How to Write Advanced Text Prompts using ChatGPT

Lecture 38 AI Ethical Considerations

Lecture 39 Understanding Different LLM's Pros & Cons

Lecture 40 Understanding ChatGPT Capabilities with Use Case 1

Lecture 41 Capabilities of Gemini, Claude, Perplexity & Copilot with Use Case 1

Lecture 42 Understanding ChatGPT Capabilities with Use Case 2

Lecture 43 Comparing Gemini, Claude, Perplexity & Copilot with Use Case 2

Lecture 44 How to Use Different LLM's to Write Effective Prompts ?

Lecture 45 How to Use ChatGPT for Writing Advanced Prompts - Part 1

Lecture 46 How to Use ChatGPT for Writing Advanced Prompts - Part 2

Lecture 47 How to Use Gemini, Claude, Perplexity & Copilot to Write Effective Prompts

Lecture 48 Prompt Engineering Tools - OpenAI Playground Parameters Part 1

Lecture 49 OpenAI Playground Parameters Part 2

Lecture 50 OpenAI Playground Parameters Part 3

Lecture 51 OpenAI Playground Parameters Part 4

Section 6: Prompt Engineering Future Trends and Opportunities

Lecture 52 The Future of Prompt Engineering

Lecture 53 Prompt Engineering Opportunities

Lecture 54 Overview of GenAI

Lecture 55 Career Opportunities in Prompt Engineering

Lecture 56 How to Find Jobs & Freelancing Sites for Prompt Engineering

Lecture 57 How to Prepare for Future Opportunities as a Prompt Engineer

Lecture 58 Basics of Fine-Tuning and RAG

Lecture 59 What is Retrieval Augmented Generation (RAG)

Lecture 60 Fine Tuning vs RAG

Lecture 61 Role of Prompt Engineer in GenAI

Lecture 62 Applications GenAI Prompt Engineering

Lecture 63 Impact of Prompt Engineers on GenAI Success

Lecture 64 Final Thoughts, Project and Full Course Document

This course is beginner-friendly and designed to guide students with no prior AI or technical background,Beginners Exploring AI and Generative Models,Content Creators and Marketers,Developers and Programmers,Business Professionals and Entrepreneurs,Researchers and Academics,AI Enthusiasts and Hobbyists,Professionals Transitioning into AI,Learners looking to build new skills