Prompt Engineering & Ai With Chatgpt: Novice To Expert 2025


Prompt Engineering & Ai With Chatgpt: Novice To Expert 2025
Prompt Engineering & Ai With Chatgpt: Novice To Expert 2025
Published 5/2025
MP4 | Video: h264, 1920×1080 | Audio: AAC, 44.1 KHz

AI Secrets of Prompt Engineering, Automation, Coding, Marketing , Advanced Topics Covered

What you’ll learn

Introduction to Prompt Engineering , What is Prompt Engineering

AI Key Terms Prompt(Instructions given to AI) Model(AI System Processing the prompt) LLM(AI Trained on vast Data) Token(Smallest Unit of AI Text Processing)

How AI Models Work : Prediction , Learning & Limitations

Types of AI Prompts : Instructional , Conversational & Role-Based

Best Practices for Writing Effective Prompt : Be Specific , Give Context & Define Tone

Common Mistakes in Prompt Engineering : Vague Prompts (too General)= Weak Answers Too Much (AI gets confused break it up) Ignoring (Refine and Retry Prompts)

Testing and Refining Prompts : Test Versions (Small Tweaks Improve Answers) Add Details (AI Need Clear Instructions) Iterate(AI get Better with Refinement)

Chain-of-Thought Prompting : Explain Steps (Force AI to explain step by step) Problem-Solving (Better for logical tasks) Useful(Good for Math and Reasoning)

Zero-Shot (AI Guess Answer without Examples) versus Few-Shot Prompting (we give AI Examples for training , better and accurate Reponses)

Role-Playing & Context Setting : Make AI an Expert (Doctor ,Teacher, Developer). Context Improves Responses. Useful for business, learning and Problem solving

Multi-Step Prompts for Complex Tasks: Break big requests into smaller steps for better performance , AI is better with structured tasks

Meta-Prompting for Recursive Self Improvements : iteratively refine AI-generated prompts , applications in autonomous AI optimization

Neuro-symbolic Prompt-Integration (Symbolic Logic , Neural Networks , Hybrid Benefits)

Adversarial Prompt Defense Mechanisms : Detection , Classification , Neutralization , Adaption Phases

Hyperparameter Optimization for Prompts : Temperature Control , Top-k sampling , Top-p (Nucleus) Sampling, Repetition Penalties

Cross-Modal Prompt Engineering : Text Modality , Visual Modality , Code Modality , Audio Modality

Dynamic Context Window Management: Critical Info(Key context always retained) Recent Info(Near-term memory preserved) Background Info (Compressed for reference)

Integrating AI into Business & Productivity: integrate into daily routine , Streamline emails , reports & Scheduling , save time and boost productivity

Prompt Engineering for Coding & Automation : Code Generation(AI Writes & fix Code) Debugging(best with clear errors details) , (specify programming language)

Key Use Cases for Prompt Engineering Optimization (Workflow across Industries, Real-World applications AI driven prompts , efficiency )

AI Use Case: Research & Business Analysis : News Summarization , Academic Research , Business Reports

AI Use Case: Customer Support & Legal (AI Chatbots , Email Writing , Legal and Compliance)

AI Use Case: Human Resources & Software Development (HR & Recruitment , interview preparation (AI generate Questions)) , Coding & Debugging Writes and fix Code

AI Use Case : E-Commerce & data Processing

AI Use Case: Translation , Learning and Marketing

AI Use Case: Security and Automation

Ethical AI Prompting : Avoid Bias & Errors : Neutral Questions , Fast Check , Be Mindful

How to Stay Ahead in AI & Prompt Engineering

Final Thoughts & Next Steps in Prompt Engineering

Final Challenge – Your AI Superpower!

Requirements

No prior experience with AI or programming is needed, but an eagerness to learn and exploring new technologies.

Description

Overview

Section 1: Introduction

Lecture 1 Introduction to Prompt Engineering

Lecture 2 What is Prompt Engineering

Section 2: Prompt Engineering Basics

Lecture 3 AI Key Terms

Lecture 4 How AI Models Work

Lecture 5 Types of AI Prompts

Lecture 6 Best Practices for Writing Effective Prompts

Lecture 7 Common Mistakes in Prompt Engineering

Lecture 8 Testing & Refining Prompts

Lecture 9 Practical : Common Mistakes in Prompt Engineering

Lecture 10 Practical : Best Practices for Writing Effective

Lecture 11 Practical : Testing & Refining Prompts

Section 3: Prompt Engineering in Action
Lecture 12 Chain of Thought Prompting

Lecture 13 Zero Shot Versus Few-Shot Prompting

Lecture 14 Role-Playing & Context Setting

Lecture 15 Multi-Step Prompts for Complex Tasks

Lecture 16 Practical : Zero-Shot Versus Few-Shot Prompting

Lecture 17 Practical : Chain-of-Thought Prompting

Lecture 18 Practical : Role-Playing & Context Setting

Lecture 19 Practical : Multi-Step Prompts for Complex Tasks

Section 4: Prompt Engineering Advanced Topics

Lecture 20 Meta Prompting for Recursive Self Improvement

Lecture 21 Neuro-Symbolic Prompt Integration

Lecture 22 Adversarial Prompt Defense Mechanisms

Lecture 23 Hyperparameter Optimization for Prompts

Lecture 24 Cross Modal Prompt Engineering

Lecture 25 Dynamic Context Window Management

Lecture 26 Practical : Meta-Prompting for Recursive Self Improvement

Lecture 27 Practical : Neuro-Symbolic Prompt Integration

Lecture 28 Practical : Adversarial Prompt Defense Mechanisms

Lecture 29 Practical : Hyperparameter Optimization for Prompt

Lecture 30 Practical : Cross Modal Prompt Engineering

Section 5: AI And Business Integration

Lecture 31 Integrating AI into Business & Productivity

Lecture 32 Prompt Engineering for Coding & Automation

Section 6: AI Use Cases

Lecture 33 Key Use Cases for Prompt Engineering

Lecture 34 AI Use Case Research & Business Analysis

Lecture 35 AI Use Case Customer Support & Legal

Lecture 36 AI Use Case HR & Software Development

Lecture 37 AI Use Case E-commerce & Data Processing

Lecture 38 AI Use Case Translation, Learning & Marketing

Lecture 39 AI Use Case Security, Automation

Section 7: AI Challenges

Lecture 40 Ethical AI Prompting

Lecture 41 The Future of AI & Prompt Engineering

Lecture 42 How to Stay Ahead in AI & Prompt Engineering

Lecture 43 Final Thoughts & Next Steps in Prompt Engineering

Lecture 44 Final Challenge – Your AI Superpower!

Lecture 45 06-Congratulations! You Are an AI Prompting Expert

This course is designed for anyone interested in utilizing AI tools like ChatGPT and Need to Learn Prompts and Commands,Whether you’re an Novice , student, professional, or just a curious learner, this course is great choice for you

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