The effectiveness of AI such as ChatGPT, Bard, and MidJourney is dependent on the ways you
teach them. This is where prompt engineering comes into the picture. The prompt engineering
course teaches you how to formulate accurate, imaginative, and useful prompts in a way that AI
produces exactly what you want it to—be it creation of content, problem-solving, or creating
visuals.
Whether you are a beginner or skilled professional, you can attain the skills of a communication
expert in AI with the prompt engineering course at IFDA. There are general natural language
processing principles, role-based prompting, few-shot and zero-shot learning, chain-of-thought
prompting, ethics of using AI, and structuring prompts to particular industries, such as
marketing, coding, data analysis, and design.
The entire prompt engineering course in Delhi comes with 80 hours of practical education.
Finishing it will take you 2–3 months depending on what pace you are going and how you
practice. For those searching for a prompt engineering course near me, IFDA is one of the top
prompt engineering institutes offering quality training at competitive prompt engineering course
fees.
Course Highlights
1. |
Foundations: Core Concepts & Techniques |
2. |
Advanced Techniques & Models |
3. |
Hands-On Learning & Guided Practice |
4. |
Adaptive, Multimodal and Context-Rich Prompting |
5. |
Domain Specific Prompting |
6. |
Prompt Debugging & Optimization |
7. |
AI Tools & Automation |
8. |
Capstone Projects |
Learning Outcome
| • | Understand the functioning of AI models and its interpretation of prompts |
| • | Learn the simple to advanced prompt structures of various AI platforms |
| • | Produce professional-grade results in writing, design, and data analysis |
| • | Practical tasks associated with blog generation, chatbot development, and AI imaging design |
| • | Build prompts that ensure accuracy, ethics, and the absence of bias in AI tools. | Read More |
| • | Learn how to perform iterative refinement to achieve exactly what you want |
| • | Learn how to work with ChatGPT, Claude, Bard, MidJourney, and DALL·E |
| • | Generate stunning images with AI tools like MidJourney & DALL·E |
| • | Use advanced techniques like chain-of-thought, few-shot, and iterative prompting |
| • | Avoid common mistakes and keep AI outputs accurate and ethical | Read Less |
Software that you will learn in this course
Course Content
| • | Definition of AI |
| • | Types of AI |
| • | How AI works |
| • | Key Technologies |
| • | Introduction to Large Language Models |
| • | Types of Large language models |
| • | Definition of prompt Engineering |
| • | Types of prompt |
| • | Principles For Writing Effective Prompts |
| • | Format of Prompts |
| • | Zero Shot Prompting |
| • | One Shot Prompting |
| • | Few Shot Prompting |
| • | Chain-of-Thought prompting |
| • | Tree of Thoughts prompting |
| • | Self-Consistency Prompting |
| • | Automatic Chain of thought prompting |
| • | Automatic Reasoning and Tool Use (ART) |
| • | Generated Knowledge Prompting |
| • | Multimodal Chain of Prompting |
| • | Graph Prompting |
| • | ReAct Prompting |
| • | Expert Prompting |
| • | Introduction of RAG |
| • | How RAG works |
| • | Components of RAG |
| • | Common Use Cases |
| • | Practice with LangChain |
| • | AI model playgrounds (OpenAI, Hugging Face) |
| • | How does fine tuning differ from prompting |
| • | When to fine tune |
| • | Instruction Fine Tuning |
| • | Parameter-Efficient Fine Tuning |
| • | Common Prompt Problems: ambiguity, lack of constraints, wrong tone |
| • | Using temperature, top_p for creativity control |
| • | Iterative refinement process |
| • | AI model playgrounds (OpenAI, Hugging Face) |
| • | No-Code Automation |
| • | API integration basis |
| • Bias in LLMs |
| • Privacy & data safety |
| • Responsible use guidelines |
| • Digital Marketing: ad copy, SEO briefs, campaign variants with structured outputs. |
| • Finance/Analytics: table QA, report extraction with schema-locked outputs. |
| • Content Creation: style guides, consistency via system prompts. |
| • Web/App Dev: code generation + tests, safe tool use; long-context refactoring . |
| • Ship a production-style feature |
Jobs and Career Opportunity After Completing Course
After completing this course, learners can pursue careers in prompt engineer, AI Content Writer, AI image generation specialist, Automation Prompt Engineer, AI Research Assistant, AI Business consultant, AI Product Manager, AI Interaction Designer, Freelance Prompt Crafting Expert.
| Job profile After completing this course |
Average salary ( 1+ year experience) |
|---|---|
| Prompt Engineer — Entry (0–2 yrs) | ₹5.5 LPA |
| Prompt Engineer — Mid (2–5 yrs) | ₹8.0 LPA |
| Prompt Engineer — Senior (5+ yrs) | 20k- 55k |
| Freelance Prompt Engineer (annualized) | 10k- 40k |
Backup Class
Flexible Timing
Fees Installment
Expert Trainer
100% job assistance
Free Library
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Live Project
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Practical learning
I enrolled in the Prompt Engineering course in Delhi at IFDA Institute, and it has been a great experience. The trainers explain every concept clearly and give practical examples. The course modules are updated and industry-focused, which makes learning very easy. This institute is the best option for anyone serious about learning Prompt Engineering.
IFDA Institute is one of the best places to learn Prompt Engineering courses. The faculty is highly experienced, and they provide both theory and practical training. I loved how we worked on real projects, which helped me build confidence. The certification is valuable, and I truly feel ready to start my career in this field.
I was searching for a Prompt Engineering course near me, and joining IFDA Institute turned out to be the right decision. The Prompt Engineering course fees are affordable, and the learning environment is excellent. With smart classrooms and practical training, I gained skills that are directly useful for freelancing as well as professional opportunities.
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Frequently Asked Questions
Prompt Engineering is the skill of designing effective prompts for AI tools like ChatGPT. By learning this, students can enhance AI outputs, automate workflows, and solve business problems efficiently. IFDA Institute offers a specialized course with practical training, making it a valuable choice for those interested in AI-driven careers.
The Prompt Engineering course at IFDA includes modules on AI basics, prompt design techniques, NLP, ChatGPT workflows, and real-world project applications. Students learn to build effective prompts that generate accurate AI responses. The training is industry-oriented, ensuring learners gain practical knowledge to apply skills in business, freelancing, and professional AI projects.
The Prompt Engineering salary depends on skills and experience. Freshers can expect entry-level packages, while professionals with strong expertise in AI prompting earn higher salaries in tech companies, startups, and freelancing. With AI demand growing, prompt engineers are in high demand, offering competitive pay and career opportunities across industries worldwide.
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