Prompt Engineering for GenAI Tool

Speak the Language of AI—Master Prompt Engineering for Real Results.

MODE
Mode(Online) TYPE
Mentor Based LEVEL
Advanced

Skills you will gain:

Prompt Engineering for GenAI Tools is a practical, hands-on course designed to teach participants how to communicate effectively with generative AI models. The program introduces the science and art behind prompt design—enabling users to produce high-quality text, images, code, summaries, and business solutions using leading AI platforms. Whether you’re a student, educator, marketer, designer, coder, or team leader—this course unlocks the potential of AI through better prompting.

Aim:

To empower learners with the techniques and strategies of prompt engineering to effectively interact with and extract value from Generative AI (GenAI) tools such as ChatGPT, Claude, Bard, DALL·E, Midjourney, and more.

Program Objectives:

To demystify generative AI interaction for all skill levels
To teach prompt design frameworks that maximize AI output quality
To enhance productivity, creativity, and innovation using GenAI
To prepare learners for AI-integrated job markets and workflows

What you will learn?

Week 1: Fundamentals of Prompt Engineering

Module 1: Introduction to Prompt Engineering

Chapter 1.1: What is Prompt Engineering?
Chapter 1.2: The Role of Prompts in Generative AI
Chapter 1.3: Overview of LLMs (GPT, Claude, Gemini, etc.)

Module 2: Prompt Structure and Core Techniques

Chapter 2.1: Anatomy of an Effective Prompt
Chapter 2.2: Instruction-Based vs. Few-Shot Prompts
Chapter 2.3: Zero-Shot and Chain-of-Thought Prompting
Chapter 2.4: Prompting for Different Outputs (Text, Code, Image)

Week 2: Applications and Tools in Practice

Module 3: Prompting Across Modalities

Chapter 3.1: Text Generation, Summarization, and Q&A
Chapter 3.2: Code Generation and Debugging
Chapter 3.3: Image Generation (DALL·E, Midjourney, Stable Diffusion)
Chapter 3.4: Audio and Video AI Prompts (Runway, ElevenLabs)

Module 4: Using Prompt Engineering Tools

Chapter 4.1: Prompt Playgrounds (OpenAI, Anthropic, Hugging Face)
Chapter 4.2: Prompt Tuning and Parameter Tweaks
Chapter 4.3: Versioning and Testing Prompts
Chapter 4.4: Working with Prompt Templates in APIs & Apps

Week 3: Optimization, Ethics, and Real-World Projects

Module 5: Optimizing and Evaluating Prompts

Chapter 5.1: Metrics and Benchmarks for Prompt Quality
Chapter 5.2: Iterative Prompting and A/B Testing
Chapter 5.3: Safety, Bias, and Hallucination Mitigation

Module 6: Final Projects and Industry Use Cases

Chapter 6.1: Prompt Engineering for Business Automation
Chapter 6.2: Capstone – Build Your Prompt-Based Tool or Bot
Chapter 6.3: Future Trends and Advanced Prompting Techniques

Intended For :

Open to all professionals, students, content creators, and entrepreneurs
No programming background required (optional developer track)
Ideal for marketing teams, educators, tech and non-tech professionals