✨ Special Offer: 25% Off in Digital Marketing Certification | Limited-Time Offer ✨ ✨ Special Offer: 30% Off in Data Analytics Certification | Limited-Time Offer ✨ Special Offer: 30% Off in Full Stack Python/ Java Certification | Limited-Time Offer ✨ ✨ Special Offer: 40% Off in Graphic Design Certification | Limited-Time Offer

Enquiry For Demo

Prompt Engineering

Prompt Engineering Certification
Boost up Program for Mastermind & Growth Hack

On Campus Course Duration- 180 Hours Internship Plus

Get Free Counselling Get Brochure

Course Objectives:

Learn SEO basics: how search engines, crawling & ranking work.

Do keyword research & optimize content for search intent.

Build quality backlinks to improve authority.

Enhance site speed, performance & mobile compatibility.

Industry Readiness Certification Programs

overview
Industry Demand
syllabus
FAQ
Project & Training

Module 1:Introduction to Prompt Engineering

Overview of Prompt Engineering

What is prompt engineering?
The importance of prompt engineering in AI-based systems
Key principles of effective prompt design
Understanding the role of AI language models (e.g., GPT models)
Applications of prompt engineering across industries (e.g., marketing, development, education)

Types of AI Models

Overview of GPT, BERT, and other transformer-based models
Natural Language Processing (NLP) fundamentals
The role of large language models (LLMs) in real-world applications

Module 2:Fundamentals of Language Models

Understanding How Language Models Work

Model architecture: tokens, embeddings, attention mechanisms
How language models generate text
Fine-tuning and transfer learning
Prompt-based learning and its evolution

Different Types of Prompts

Direct prompts (e.g., asking questions)
Contextual prompts (e.g., setting a scene or scenario)
Instructional prompts (e.g., task-driven prompts)
Open-ended vs. closed-ended prompts

Module 3: Crafting Basic Prompts

Basic Prompt Design Techniques

Crafting clear and concise prompts
Experimenting with different prompt structures (question-based, statement-based)
Using examples to guide model responses
Prompt length and its impact on model output

Effective Questioning Techniques

Creating prompts for informative and relevant answers
Avoiding ambiguity and bias in prompts
Designing prompts for specific domains (e.g., technical, creative, conversational)

Module 4:Advanced Prompting Strategies

Complex Prompt Engineering

Chaining prompts (multi-step instructions)
Prompts for controlled creativity (e.g., storytelling, idea generation)
Using temperature, max tokens, and other parameters effectively
Handling ambiguity and ensuring more accurate responses

Leveraging Few-shot and Zero-shot Learning

Understanding few-shot and zero-shot capabilities
Demonstrating effective prompts with minimal examples
Fine-tuning prompts for task-specific outcomes
Practical use cases for few-shot learning

Module 5:Optimizing Prompts for Specific Tasks

Task-based Prompting

Prompts for summarization and content extraction
Prompts for translation, grammar correction, and language-related tasks
Using prompts for code generation and debugging
Crafting prompts for automated research and analysis

Prompts for Conversational Agents

Designing prompts for chatbots and virtual assistants
Context management in long conversations
Prompts for sentiment analysis and customer support
Avoiding conversational traps (e.g., repetitive or misleading answers)

Module 6: Ethical Considerations and Bias in Prompting

Understanding Bias in AI Models

How prompts can introduce bias in AI responses
Techniques to mitigate biases (gender, racial, or political biases)
Ethical considerations in prompt engineering

Transparency and Fairness

Creating fair and unbiased prompts for diverse applications
Designing inclusive prompts for global use cases
Addressing problematic content or harmful output

Module 7:Evaluating and Testing Prompts

Performance Metrics and Evaluation

Defining accuracy, relevance, and coherence of AI outputs
Using human feedback and model metrics for evaluation
Iterative testing and refinement of prompts
Leveraging A/B testing for prompt comparison

Tools for Prompt Evaluation

Automated tools and scripts for prompt testing
Using APIs and platforms like OpenAI, Hugging Face, or custom interfaces for testing prompts

Module 8:Real-World Applications of Prompt Engineering

Prompts for Content Creation

Designing prompts for blog posts, social media, marketing, and ad copy
Generating creative content like poetry, stories, and scripts
Automated report generation and writing assistants

Prompts for Data Extraction and Automation

Designing prompts for scraping and summarizing data
Automating workflows with prompts for API calls, data parsing, etc

Prompts in Education and Research

AI-assisted research tools (literature review, hypothesis generation, etc.)
Designing prompts for tutoring, study aids, and educational applications

Module 9:Tools and Platforms for Prompt Engineering

Exploring Prompt Engineering Tools

Overview of popular tools for prompt creation and testing (e.g., OpenAI Playground, GPT-3, Hugging Face, etc.)
Platforms for integrating AI models into web applications and services
Automating prompt generation using pre-built models

Final Project

Project Work