Prompt Engineering for GenAI Tool
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Course Overview
Table of Contents
Program Syllabus
Module 1
About
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 designāenabling 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 leaderāthis course unlocks the potential of AI through better prompting.
Module 2
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, DALLĀ·E, Midjourney, and more.
Lead Instructor
Dr. Sarah Chen
PhD in Computational Mechanics from MIT with 15+ years of experience in Industrial AI. Former Lead Data Scientist at Tesla and current advisor to Fortune 500 manufacturing firms.
Limited SeatsClosing Soon
Prompt Engineering for GenAI Tool
Professional Certification Program
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FormatLive + Recorded
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Duration8 Weeks
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CertificationVerified
Module 3
Program Objectives
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To demystify generative AI interaction for all skill levels
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To teach prompt design frameworks that maximize AI output quality
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To enhance productivity, creativity, and innovation using GenAI
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To prepare learners for AI-integrated job markets and workflows
Module 4
Program Structure
Module 5
Module 1: Introduction to Prompt Engineering
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Chapter 1.1: What is Prompt Engineering?
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Chapter 1.2: The Role of Prompts in Generative AI
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Chapter 1.3: Overview of LLMs (GPT, Claude, Gemini, etc.)
Module 6
Module 2: Prompt Structure and Core Techniques
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Chapter 2.1: Anatomy of an Effective Prompt
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Chapter 2.2: Instruction-Based vs. Few-Shot Prompts
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Chapter 2.3: Zero-Shot and Chain-of-Thought Prompting
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Chapter 2.4: Prompting for Different Outputs (Text, Code, Image)
Module 7
Module 3: Prompting Across Modalities
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Chapter 3.1: Text Generation, Summarization, and Q&A
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Chapter 3.2: Code Generation and Debugging
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Chapter 3.3: Image Generation (DALLĀ·E, Midjourney, Stable Diffusion)
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Chapter 3.4: Audio and Video AI Prompts (Runway, ElevenLabs)
Module 8
Module 4: Using Prompt Engineering Tools
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Chapter 4.1: Prompt Playgrounds (OpenAI, Anthropic, Hugging Face)
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Chapter 4.2: Prompt Tuning and Parameter Tweaks
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Chapter 4.3: Versioning and Testing Prompts
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Chapter 4.4: Working with Prompt Templates in APIs & Apps
Module 9
Module 5: Optimizing and Evaluating Prompts
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Chapter 5.1: Metrics and Benchmarks for Prompt Quality
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Chapter 5.2: Iterative Prompting and A/B Testing
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Chapter 5.3: Safety, Bias, and Hallucination Mitigation
Module 10
Module 6: Final Projects and Industry Use Cases
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Chapter 6.1: Prompt Engineering for Business Automation
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Chapter 6.2: Capstone ā Build Your Prompt-Based Tool or Bot
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Chapter 6.3: Future Trends and Advanced Prompting Techniques
Ā Live Lecture or Video Module TOC
Module 11
Week 2 Videos (~7 hours)
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Prompting for Summarization and Extraction (30 min)
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Prompt Engineering for Code (Text-to-Code) (45 min)
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Prompting for Image Generation Tools (Midjourney, DALLĀ·E) (45 min)
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Working with AI Audio/Video Tools (Runway, ElevenLabs) (30 min)
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Tool Demos: OpenAI Playground and Hugging Face Spaces (30 min)
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Using Prompt Templates and Dynamic Variables (30 min)
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API Prompting: ChatGPT, Claude, Gemini (45 min)
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Prompt Testing and Versioning Techniques (60 min)
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Week 2 Hands-On Case Study: Content Assistant (45 min)
Module 12
Week 3 Videos (~6.5 hours)
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Evaluating Prompt Performance (30 min)
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A/B Testing and Prompt Optimization (45 min)
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Mitigating Bias and Hallucinations (30 min)
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Safety and Responsible Prompting (30 min)
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Business Use Cases: Customer Support, Market Research, Content (45 min)
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Capstone Project Guidelines and Walkthrough (45 min)
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Final Prompt Build Walkthrough (30 min)
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Demo and Presentation Skills (30 min)
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Career Paths and Advanced Techniques in Prompt Engineering (15 min)
Module 13
Intended For
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Open to all professionals, students, content creators, and entrepreneurs
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No programming background required (optional developer track)
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Ideal for marketing teams, educators, tech and non-tech professionals
Module 14
Program Outcomes
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Craft effective prompts tailored to various GenAI tools
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Use GenAI for writing, designing, coding, ideating, and decision-making
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Build reusable prompt templates for professional workflows
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Apply prompt engineering to personal, business, and creative needs
Module 16
Fee Structure
Fee: INR 21499 USD 249
We are excited to announce that we now accept payments in over 20 global currencies, in addition to USD. Check out our list to see if your preferred currency is supported. Enjoy the convenience and flexibility of paying in your local currency!
List of CurrenciesModule 17
FOR QUERIES, FEEDBACK OR ASSISTANCE
Module 18
Key Takeaways
- Access to e-LMS
- Real Time Project for Dissertation
- Project Guidance
- Paper Publication Opportunity
- Self Assessment
- Final Examination
- e-Certification
- e-Marksheet
Module 19
Future Career Prospects
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AI Content Strategist
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Prompt Engineer (Entry to Mid-Level)
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AI Product Consultant
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Creative Technologist
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AI Automation Specialist
Module 20
Job Opportunities
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AI Marketing and Copywriting Roles
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Chatbot and Virtual Assistant Designer
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GenAI Workflow Creator (Zapier, n8n, Make)
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EdTech AI Content Developer
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AI Content Moderator / Reviewer
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Software QA Prompt Tester (GenAI systems)
Module 21
Enter the Hall of Fame!
Take your research to the next level!
Publication Opportunity
Potentially earn a place in our coveted Hall of Fame.
Centre of Excellence
Join the esteemed Centre of Excellence.
Networking and Learning
Network with industry leaders, access ongoing learning opportunities.
Hall of Fame
Get your groundbreaking work considered for publication in a prestigious Open Access Journal (worth ā¹20,000/USD 1,000).
Achieve excellence and solidify your reputation among the elite!
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Module 22
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