Prompt Engineering for GenAI Tool
Speak the Language of AI—Master Prompt Engineering for Real Results.
Early access to e-LMS included
About This Course
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
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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
Program Structure
Week 1: Fundamentals of Prompt Engineering
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 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)
Week 2: Applications and Tools in Practice
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 (DALL·E, Midjourney, Stable Diffusion)
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Chapter 3.4: Audio and Video AI Prompts (Runway, ElevenLabs)
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
Week 3: Optimization, Ethics, and Real-World Projects
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 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 – Build Your Prompt-Based Tool or Bot
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Chapter 6.3: Future Trends and Advanced Prompting Techniques
Who Should Enrol?
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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
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
Fee Structure
Discounted: ₹21499 | $249
We accept 20+ global currencies. View list →
What You’ll Gain
- Full access to e-LMS
- Real-world dry lab projects
- 1:1 project guidance
- Publication opportunity
- Self-assessment & final exam
- e-Certificate & e-Marksheet
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