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Data & AI Training

Prompt Engineering

Learn to get reliable results from AI models: prompt structure, context, examples, reasoning, structured output, evaluation and reusable prompt libraries.

BeginnerAI & Data

At a glance

  • CategoryData & AI Training
  • LevelBeginner
  • Curriculum6 modules, 4 project ideas
  • InstituteAIIT Roorkee, Roorkee

Course Overview

About this course

The quality of AI output depends heavily on the quality of instructions and context. Prompt engineering is the practical skill of communicating tasks to AI models so results are accurate, consistent and useful.

The course covers prompt structure, roles and context, few-shot examples, step by step reasoning, structured output, prompting for code and data tasks, reducing hallucinations, testing prompts systematically and building reusable prompt templates for teams.

Learning Objectives

By the end of Prompt Engineering, learners should be able to:

  • Write clear prompts with task, context, constraints and format
  • Use examples and decomposition for complex tasks
  • Request structured output that software can use
  • Test and compare prompts with simple evaluation sets
  • Build a reusable prompt library for a real workflow

Topics Covered

01How models read prompts
  • Tokens and context windows
  • Model strengths and limits
  • Why wording matters
02Prompt structure
  • Role, task, context and format
  • Constraints and tone
  • Iterative refinement
03Advanced patterns
  • Few-shot examples
  • Breaking tasks into steps
  • Self review and critique
04Structured and technical prompts
  • JSON and table output
  • Prompting for code
  • Data extraction
05Reliability
  • Grounding with source material
  • Reducing hallucinations
  • Handling sensitive data
06Prompt operations
  • Evaluation sets
  • Version control for prompts
  • Team prompt libraries

Topic order and depth may be adjusted for the batch, format and learner level.

Practical Learning

Every module pairs explanation with hands-on work. Typical practical activities in this course:

Before and after prompt rewrites

Prompt battles comparing approaches on the same task

Extraction exercises on real documents

Building an evaluation sheet

Representative Projects

Projects are chosen with mentors based on your level and interests. Examples include:

  • Prompt library for a business function
  • Resume and job description analyser prompt set
  • Data extraction workflow from PDFs
  • Evaluated customer support reply assistant

Who Should Join

  • Anyone who uses AI tools for study or work
  • Content, marketing and operations professionals
  • Developers building AI features
  • Teachers and trainers

Prerequisites

  • No coding required
  • Comfort using web applications

Learning Format

This course can be offered in the following formats, depending on the batch:

  • Short-Term Courses
  • Long-Term Courses
  • Certification-Oriented Programs
  • Weekend Programs
  • Workshops
  • Live Project Training
  • Internship Programs

Ask the team for current batch timings and the formats open for Prompt Engineering.

Career Relevance

Skills from this course are relevant to roles and directions such as:

  • Prompt Engineer
  • AI Workflow Specialist
  • AI enabled roles in content, research and support
  • Foundation for LLM application development

Career relevance describes where these skills are commonly used. It is not a promise of employment. Learners can use AIIT Roorkee's placement assistance for career preparation support.

FAQs

Is prompt engineering still useful as models improve?

Yes. Better models follow instructions more easily, but clear context, constraints and evaluation still decide whether results are reliable enough for real work.

Do I need programming for this course?

No. An optional section shows how prompts are used inside code for learners who want to continue into LLM Applications.

Will this course teach a specific AI tool?

Techniques are practised across widely used AI assistants so the skills transfer as tools change.

What is the duration and schedule of this course?

Duration, batch timings and format are shared when you enquire, because they depend on whether you choose a short-term, long-term, weekend or training format. Contact the team by phone, WhatsApp or email for current batches.

Is placement assistance available?

Learners can use AIIT Roorkee's placement assistance, which includes career counselling, CV preparation, LinkedIn development, interview preparation and mock interviews. Placement assistance is career preparation support and does not constitute a guarantee of employment or placement.

Practical Lab Environment

Prompt Engineering Developer Console

Start Learning Prompt Engineering

Build practical engineering skills with 1-on-1 mentorship and live projects at AIIT Roorkee.

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