Prompt Engineering Course in Nepal | Prompt Engineering Training for Everyone

Prompt Engineering Course in Nepal | Prompt Engineering Training for Everyone

Mode: Physical & Online Live Classes (Day/Night)

More than 19000+ students have started their career after getting certified from Broadway Infosys.

Updated On: 03/2026

Created On: 05/2025

Course Overview
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Prompt Engineering has recently emerged among the most in-demand job skills in today's world, driven by AI. The Prompt Engineering Course at Broadway Infosys will teach you the art of interacting with AI tools like ChatGPT and other large language models. This course will benefit students, practitioners, or business people to extract accurate, creative, and valuable results from AI.

This course gives practical training on writing better prompts, controlling AI responses, working step by step through problems, and applying AI to real-world tasks like content creation, data extraction, or decision-making. It will also deal with some hands-on labs, project work, and usage of AI on an ethical basis.

By the end of this course, you will gain the confidence to use AI tools efficiently and can explore job roles like Prompt Engineer, AI Content Creator, or AI Assistant Developer.

Skills you’ll learn

The Basics of Prompt Engineering : Get an understanding of generative AI and how large language models (e.g., ChatGPT) work. Setting up accounts and writing your initial prompts will also be covered.
Fundamental Crafting Techniques of Prompts : Design prompts clearly and specifically. Provide relevant context; use delimiters to organize the prompts.
Optimizing Prompts : Iterate on and test prompts for refinement; compare variations A/B; create your own library of prompt templates.
Advanced Prompting Techniques : Generate structured formats, such as tables or JSON, to facilitate efficient data processing and analysis. Carry out zero-, one-, or few-shot prompting to achieve the best output.

Benefits of Prompt Engineering Training

  • Prompt Engineering Training helps expand your AI interaction and creative tech skills in the following ways:
  • Learn to design effective prompts for AI tools like ChatGPT, DALL·E, MidJourney, and other AI platforms.
  • Gain familiarity with prompt structures for text generation, image creation, code writing, and data analysis.
  • Provides comprehensive knowledge about conversational AI, AI ethics, and responsible AI usage.
  • Learn to customize AI outputs for marketing, academic writing, content creation, and business applications.
  • Acquire skills to troubleshoot and refine AI prompts for more accurate and creative results.
  • Develop abilities in AI-powered storytelling, product description generation, social media content crafting, and report summarizing.
  • Provides new job and freelance opportunities as a Prompt Engineer, AI Content Specialist, and AI Consultant.

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Benefits of Prompt Engineering Training at Broadway Infosys

  • Training designed to meet the industry-relevant curriculum for AI and prompt engineering.
  • Hands-on training with industry professionals and certified instructors.
  • Work on real-world projects and labs to build practical skills and a standout portfolio.
  • Earn a valued certificate and get help with career guidance, resume building, and job placement.
  • Internship and job placement assistance in leading IT companies.

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Our syllabus outlines are only the headlines of the major modules. For the complete understanding of the course, we provide a free counseling. Send your inquiry today!

Lesson 1: Foundations of Prompt Engineering

  • Introduction to large language models and how they work.
  • Overview of popular AI platforms and their capabilities.
  • The significance of effective communication with AI.
  • Setting up accounts on key AI platforms for practice.

  • What is Prompt Engineering and why it matters
  • How AI processes and interprets prompts
  • The relation between prompt quality and response quality
  • Basic components of effective prompts

  • Writing your first prompt and analyzing your response
  • Common mistakes to avoid when crafting prompts
  • Testing similar prompts across different AI tools
  • Setting up a prompt journal for tracking progress

  • Key principles of prompt structure and clarity
  • Techniques for providing sufficient context
  • Building specific and precise prompts
  • Using delimiters to organize prompt information

  • Using clear instructions and specifications
  • Implementing formatting for better readability
  • Managing token limitations effectively
  • Ethical considerations in prompt design

  • Iterative prompt refinement techniques
  • A/B testing different prompt formulations
  • Identifying and fixing problematic prompts
  • Creating a personal prompt template library

  • Generating structured outputs (tables, lists, JSON)
  • Customizing output format and style
  • Using conditional prompts for dynamic responses
  • Constraining responses to meet specific requirements

  • Zero-shot prompting for new tasks
  • One-shot prompting with single examples
  • Few-shot prompting with multiple examples
  • When to use each approach for optimal results

  • Implementing few-shot prompting for consistent results
  • Creating structured output templates
  • Developing conditional prompt scenarios
  • Comparing effectiveness of different approaches

  • Breaking complex tasks into sequential prompts
  • Planning and outlining before execution
  • Validating intermediate steps
  • Comparing single-step vs. multi-step approaches

  • Prompting for explicit reasoning steps
  • One-shot chain-of-thought demonstration
  • Self-consistency techniques for better accuracy
  • Debugging reasoning errors in AI responses

  • Building a multi-step problem-solving workflow
  • Implementing chain-of-thought for logical tasks
  • Creating self-consistency checks for validation
  • Developing prompts that request step-by-step solutions

  • Text summarization techniques
  • Content expansion and elaboration
  • Translation and multilingual communication
  • Tone adjustment and style transformation

  • Customer support ticket routing and analysis
  • Extracting structured data from unstructured text
  • Sentiment analysis through prompt design
  • Using prompts for content categorization

  • Creating a content creation workflow
  • Building an information extraction system
  • Developing a sentiment analysis template
  • Implementing a question-answering framework

  • Ownerships and AI copyright — what’s there to understand
  • Addressing legal and ethical concerns
  • Do’s and Don’t in GPT’s use

REQUIREMENTS:

  • Design a comprehensive prompt system for personal task management
  • Implement techniques for scheduling, note-taking, and information retrieval
  • Create reusable templates for daily productivity

REQUIREMENTS:

  • Develop prompts for different content formats (blog posts, social media, emails)
  • Implement tone and style adjustment capabilities
  • Build a system for content summarization and expansion

REQUIREMENTS:

  • Design prompts for pros/cons analysis
  • Implement frameworks for evaluating options
  • Create templates for generating recommendations with reasoning

REQUIREMENTS:

  • Students will propose and implement a custom prompt engineering project
  • Apply techniques learned throughout the course to solve a real-world problem
  • Document the process, challenges, and solutions
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