Speak the Language of AI—Master Prompt Engineering for Real Results.
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.
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.
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
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
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
Craft effective prompts tailored to various GenAI tools
Use GenAI for writing, designing, coding, ideating, and decision-making
Build reusable prompt templates for professional workflows
Apply prompt engineering to personal, business, and creative needs
Discounted: ₹21499 | $249
We accept 20+ global currencies. View list →
Yes. Paid participants get the session recordings and study material in their NanoSchool dashboard (My registrations → Recorded Lectures / Study Material).
Watch the recording in your dashboard and send your questions to the mentor through the support desk.
Yes, an e-certificate of participation after the workshop, with a QR code anyone can verify and an "Add to LinkedIn" button.
Choose the category that matches your current role: Student, Ph.D. Scholar / Researcher, Academician / Faculty or Industry Professional.
By card, UPI or PayPal on the payment page; international bank transfer is also available there.
See our Returns, Refunds & Cancellation policy: Returns, Refunds & Cancellation policy
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Live, mentor-led and certified. Dates and times in IST.
with Abhimanyu
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