Beginner Friendly Updated 2026

Prompt Engineering For Ai Developers

Learn How To Design, Test, Evaluate And Deploy Reliable Ai Instructions And Workflows Using Prompt Engineering

5 (1,234 Reviews)
2,456 Students
33+ Hours
16 Modules
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Looking for professional Prompt Engineering for AI Developers & training in Gurugram Our comprehensive course at Blazingminds Learning is designed for students, working professionals, and business owners who want to gain practical expertise in Software Documentation, AI Integrations, Large Language Modeling, Tool Calling, Code Review, Prompt Patterns, Authentications, LLM Application, Prompt Engineering Tools, Token Optimization. The training covers industry-relevant concepts, hands-on projects, real-world case studies, and certification preparation to help learners build job-ready skills.

With expert trainers, flexible learning schedules, and placement assistance, our Prompt Engineering for AI Developers course in Gurugram helps participants stay competitive in today's job market. Whether you are a beginner or an experienced professional looking to upskill, this program provides the knowledge and practical experience needed to succeed.

Enroll today in the leading Prompt Engineering for AI Developers training institute in Gurugram and take the next step toward your career goals.

Industry Recognized Course

What You'll Learn

Master the essential techniques for effective prompt engineering with LLMs.
Build and deploy functional AI tools using OpenAI and Anthropic models.
Gain hands-on experience with real-world AI applications and projects.
Understand and control the key parameters that drive AI behavior and responses.

Course Curriculum

16 Modules • 175 Lessons

Transformer/LLM overview

10 min Preview

Master Transformer/LLM overview in Generative AI and Prompt Engineering. Learn practical prompting strategies, structured outputs, and workflow design.

Tokens

10 min

Master Tokens in Generative AI and Prompt Engineering. Learn practical prompting strategies, structured outputs, and workflow design.

Context windows

10 min

Master Context windows in Generative AI and Prompt Engineering. Learn practical prompting strategies, structured outputs, and workflow design.

Model capabilities

10 min

Master Model capabilities in Generative AI and Prompt Engineering. Learn practical prompting strategies, structured outputs, and workflow design.

Reasoning models vs general-purpose models

10 min

Master Reasoning models vs general-purpose models in Generative AI and Prompt Engineering. Learn practical prompting strategies, structured outputs, and workflow design.

Inference parameters

10 min

Master Inference parameters in Generative AI and Prompt Engineering. Learn practical prompting strategies, structured outputs, and workflow design.

Temperature

10 min

Master Temperature in Generative AI and Prompt Engineering. Learn practical prompting strategies, structured outputs, and workflow design.

Top-p

10 min

Master Top-p in Generative AI and Prompt Engineering. Learn practical prompting strategies, structured outputs, and workflow design.

Max output

10 min

Master Max output in Generative AI and Prompt Engineering. Learn practical prompting strategies, structured outputs, and workflow design.

Latency

10 min

Master Latency in Generative AI and Prompt Engineering. Learn practical prompting strategies, structured outputs, and workflow design.

Token cost

10 min

Master Token cost in LLM Engineering. Build production-ready RAG systems, autonomous agents, and tool integration pipelines.

Context management

10 min

Master Context management in LLM Engineering. Build production-ready RAG systems, autonomous agents, and tool integration pipelines.

Model selection

10 min

Master Model selection in LLM Engineering. Build production-ready RAG systems, autonomous agents, and tool integration pipelines.

System instructions

10 min Preview

Master System instructions in LLM Engineering. Build production-ready RAG systems, autonomous agents, and tool integration pipelines.

User input

10 min

Master User input in LLM Engineering. Build production-ready RAG systems, autonomous agents, and tool integration pipelines.

Developer/application instructions

10 min

Master Developer/application instructions in LLM Engineering. Build production-ready RAG systems, autonomous agents, and tool integration pipelines.

Context injection

10 min

Master Context injection in LLM Engineering. Build production-ready RAG systems, autonomous agents, and tool integration pipelines.

Variables

10 min

Master Variables in LLM Engineering. Build production-ready RAG systems, autonomous agents, and tool integration pipelines.

Templates

10 min

Master Templates in LLM Engineering. Build production-ready RAG systems, autonomous agents, and tool integration pipelines.

Delimiters

10 min

Master Delimiters in LLM Engineering. Build production-ready RAG systems, autonomous agents, and tool integration pipelines.

Instruction priority

10 min

Master Instruction priority in LLM Engineering. Build production-ready RAG systems, autonomous agents, and tool integration pipelines.

Dynamic prompts

10 min

Master Dynamic prompts in LLM Engineering. Build production-ready RAG systems, autonomous agents, and tool integration pipelines.

Prompt composition

10 min

Master Prompt composition in LLM Engineering. Build production-ready RAG systems, autonomous agents, and tool integration pipelines.

Reusable prompt components

10 min

Master Reusable prompt components in LLM Engineering. Build production-ready RAG systems, autonomous agents, and tool integration pipelines.

Example selection

10 min Preview

Master Example selection in LLM Engineering. Build production-ready RAG systems, autonomous agents, and tool integration pipelines.

Positive examples

10 min

Master Positive examples in LLM Engineering. Build production-ready RAG systems, autonomous agents, and tool integration pipelines.

Negative examples

10 min

Master Negative examples in LLM Engineering. Build production-ready RAG systems, autonomous agents, and tool integration pipelines.

Boundary examples

10 min

Master Boundary examples in LLM Engineering. Build production-ready RAG systems, autonomous agents, and tool integration pipelines.

Example diversity

10 min

Master Example diversity in LLM Engineering. Build production-ready RAG systems, autonomous agents, and tool integration pipelines.

Example ordering

10 min

Master Example ordering in LLM Engineering. Build production-ready RAG systems, autonomous agents, and tool integration pipelines.

Dynamic few-shot prompting

10 min

Master Dynamic few-shot prompting in LLM Engineering. Build production-ready RAG systems, autonomous agents, and tool integration pipelines.

When examples outperform instructions

10 min

Master When examples outperform instructions in LLM Engineering. Build production-ready RAG systems, autonomous agents, and tool integration pipelines.

Avoiding overfitting prompts to examples

10 min

Master Avoiding overfitting prompts to examples in LLM Engineering. Build production-ready RAG systems, autonomous agents, and tool integration pipelines.

JSON outputs

10 min Preview

Master JSON outputs in LLM Engineering. Build production-ready RAG systems, autonomous agents, and tool integration pipelines.

Schema design

10 min

Master Schema design in LLM Engineering. Build production-ready RAG systems, autonomous agents, and tool integration pipelines.

Typed outputs

10 min

Master Typed outputs in LLM Engineering. Build production-ready RAG systems, autonomous agents, and tool integration pipelines.

Pydantic

10 min

Master Pydantic in LLM Engineering. Build production-ready RAG systems, autonomous agents, and tool integration pipelines.

Validation

10 min

Master Validation in LLM Engineering. Build production-ready RAG systems, autonomous agents, and tool integration pipelines.

Enum constraints

10 min

Master Enum constraints in LLM Engineering. Build production-ready RAG systems, autonomous agents, and tool integration pipelines.

Required vs optional fields

10 min

Master Required vs optional fields in LLM Engineering. Build production-ready RAG systems, autonomous agents, and tool integration pipelines.

Nested structures

10 min

Master Nested structures in LLM Engineering. Build production-ready RAG systems, autonomous agents, and tool integration pipelines.

Parsing failures

10 min

Master Parsing failures in LLM Engineering. Build production-ready RAG systems, autonomous agents, and tool integration pipelines.

Retry strategies

10 min

Master Retry strategies in LLM Engineering. Build production-ready RAG systems, autonomous agents, and tool integration pipelines.

Output repair

10 min

Master Output repair in LLM Engineering. Build production-ready RAG systems, autonomous agents, and tool integration pipelines.

Code-generation prompts

10 min Preview

Master Code-generation prompts in LLM Engineering. Build production-ready RAG systems, autonomous agents, and tool integration pipelines.

Repository context

10 min

Master Repository context in LLM Engineering. Build production-ready RAG systems, autonomous agents, and tool integration pipelines.

Architecture constraints

10 min

Master Architecture constraints in LLM Engineering. Build production-ready RAG systems, autonomous agents, and tool integration pipelines.

Coding standards

10 min

Master Coding standards in LLM Engineering. Build production-ready RAG systems, autonomous agents, and tool integration pipelines.

API contracts

10 min

Master API contracts in LLM Engineering. Build production-ready RAG systems, autonomous agents, and tool integration pipelines.

Dependency constraints

10 min

Master Dependency constraints in LLM Engineering. Build production-ready RAG systems, autonomous agents, and tool integration pipelines.

Design patterns

10 min

Master Design patterns in LLM Engineering. Build production-ready RAG systems, autonomous agents, and tool integration pipelines.

Documentation generation

10 min

Master Documentation generation in LLM Engineering. Build production-ready RAG systems, autonomous agents, and tool integration pipelines.

Refactoring

10 min

Master Refactoring in LLM Engineering. Build production-ready RAG systems, autonomous agents, and tool integration pipelines.

Migration

10 min

Master Migration in LLM Engineering. Build production-ready RAG systems, autonomous agents, and tool integration pipelines.

Code explanation

10 min

Master Code explanation in LLM Engineering. Build production-ready RAG systems, autonomous agents, and tool integration pipelines.

Stack-trace prompting

10 min Preview

Master Stack-trace prompting in LLM Engineering. Build production-ready RAG systems, autonomous agents, and tool integration pipelines.

Reproduction prompts

10 min

Master Reproduction prompts in LLM Engineering. Build production-ready RAG systems, autonomous agents, and tool integration pipelines.

Minimal reproducible examples

10 min

Master Minimal reproducible examples in LLM Engineering. Build production-ready RAG systems, autonomous agents, and tool integration pipelines.

Root-cause analysis

10 min

Master Root-cause analysis in LLM Engineering. Build production-ready RAG systems, autonomous agents, and tool integration pipelines.

Debugging workflows

10 min

Master Debugging workflows in LLM Engineering. Build production-ready RAG systems, autonomous agents, and tool integration pipelines.

Security review

10 min

Master Security review in LLM Engineering. Build production-ready RAG systems, autonomous agents, and tool integration pipelines.

Performance review

10 min

Master Performance review in LLM Engineering. Build production-ready RAG systems, autonomous agents, and tool integration pipelines.

Maintainability

10 min

Master Maintainability in LLM Engineering. Build production-ready RAG systems, autonomous agents, and tool integration pipelines.

Refactoring prompts

10 min

Master Refactoring prompts in LLM Engineering. Build production-ready RAG systems, autonomous agents, and tool integration pipelines.

Legacy-code understanding

10 min

Master Legacy-code understanding in LLM Engineering. Build production-ready RAG systems, autonomous agents, and tool integration pipelines.

Single prompt vs workflow

10 min Preview

Master Single prompt vs workflow in LLM Engineering. Build production-ready RAG systems, autonomous agents, and tool integration pipelines.

Sequential prompting

10 min

Master Sequential prompting in LLM Engineering. Build production-ready RAG systems, autonomous agents, and tool integration pipelines.

Parallel tasks

10 min

Master Parallel tasks in LLM Engineering. Build production-ready RAG systems, autonomous agents, and tool integration pipelines.

Conditional routing

10 min

Master Conditional routing in LLM Engineering. Build production-ready RAG systems, autonomous agents, and tool integration pipelines.

Prompt pipelines

10 min

Master Prompt pipelines in LLM Engineering. Build production-ready RAG systems, autonomous agents, and tool integration pipelines.

Intermediate outputs

10 min

Master Intermediate outputs in LLM Engineering. Build production-ready RAG systems, autonomous agents, and tool integration pipelines.

State management

10 min

Master State management in LLM Engineering. Build production-ready RAG systems, autonomous agents, and tool integration pipelines.

Failure handling

10 min

Master Failure handling in LLM Engineering. Build production-ready RAG systems, autonomous agents, and tool integration pipelines.

Why “looks good” is not evaluation

10 min Preview

Master Why “looks good” is not evaluation in LLM Engineering. Build production-ready RAG systems, autonomous agents, and tool integration pipelines.

Test datasets

10 min

Master Test datasets in LLM Engineering. Build production-ready RAG systems, autonomous agents, and tool integration pipelines.

Golden examples

10 min

Master Golden examples in LLM Engineering. Build production-ready RAG systems, autonomous agents, and tool integration pipelines.

Expected behavior

10 min

Master Expected behavior in LLM Engineering. Build production-ready RAG systems, autonomous agents, and tool integration pipelines.

Evaluation criteria

10 min

Master Evaluation criteria in LLM Engineering. Build production-ready RAG systems, autonomous agents, and tool integration pipelines.

Accuracy

10 min

Master Accuracy in LLM Engineering. Build production-ready RAG systems, autonomous agents, and tool integration pipelines.

Relevance

10 min

Master Relevance in LLM Engineering. Build production-ready RAG systems, autonomous agents, and tool integration pipelines.

Faithfulness

10 min

Master Faithfulness in LLM Engineering. Build production-ready RAG systems, autonomous agents, and tool integration pipelines.

Format compliance

10 min

Master Format compliance in LLM Engineering. Build production-ready RAG systems, autonomous agents, and tool integration pipelines.

Safety

10 min

Master Safety in LLM Engineering. Build production-ready RAG systems, autonomous agents, and tool integration pipelines.

Regression testing

10 min

Master Regression testing in LLM Engineering. Build production-ready RAG systems, autonomous agents, and tool integration pipelines.

LLM-as-judge

10 min

Master LLM-as-judge in LLM Engineering. Build production-ready RAG systems, autonomous agents, and tool integration pipelines.

Human evaluation

10 min

Master Human evaluation in LLM Engineering. Build production-ready RAG systems, autonomous agents, and tool integration pipelines.

Prompt versioning

10 min

Master Prompt versioning in LLM Engineering. Build production-ready RAG systems, autonomous agents, and tool integration pipelines.

A/B testing

10 min

Master A/B testing in LLM Engineering. Build production-ready RAG systems, autonomous agents, and tool integration pipelines.

Failure analysis

10 min

Master Failure analysis in LLM Engineering. Build production-ready RAG systems, autonomous agents, and tool integration pipelines.

Prompt vs context

10 min Preview

Master Prompt vs context in LLM Engineering. Build production-ready RAG systems, autonomous agents, and tool integration pipelines.

Context selection

10 min

Master Context selection in LLM Engineering. Build production-ready RAG systems, autonomous agents, and tool integration pipelines.

Context compression

10 min

Master Context compression in LLM Engineering. Build production-ready RAG systems, autonomous agents, and tool integration pipelines.

Context ordering

10 min

Master Context ordering in LLM Engineering. Build production-ready RAG systems, autonomous agents, and tool integration pipelines.

Relevant vs irrelevant information

10 min

Master Relevant vs irrelevant information in LLM Engineering. Build production-ready RAG systems, autonomous agents, and tool integration pipelines.

Conversation state

10 min

Master Conversation state in LLM Engineering. Build production-ready RAG systems, autonomous agents, and tool integration pipelines.

Long-context strategies

10 min

Master Long-context strategies in LLM Engineering. Build production-ready RAG systems, autonomous agents, and tool integration pipelines.

Metadata

10 min

Master Metadata in LLM Engineering. Build production-ready RAG systems, autonomous agents, and tool integration pipelines.

Context windows

10 min

Master Context windows in LLM Engineering. Build production-ready RAG systems, autonomous agents, and tool integration pipelines.

Dynamic context construction

10 min

Master Dynamic context construction in LLM Engineering. Build production-ready RAG systems, autonomous agents, and tool integration pipelines.

Context contamination

10 min

Master Context contamination in LLM Engineering. Build production-ready RAG systems, autonomous agents, and tool integration pipelines.

Embeddings concept

10 min Preview

Master Embeddings concept in LLM Engineering. Build production-ready RAG systems, autonomous agents, and tool integration pipelines.

Semantic similarity

10 min

Master Semantic similarity in LLM Engineering. Build production-ready RAG systems, autonomous agents, and tool integration pipelines.

Vector representations

10 min

Master Vector representations in LLM Engineering. Build production-ready RAG systems, autonomous agents, and tool integration pipelines.

Chunking

10 min

Master Chunking in LLM Engineering. Build production-ready RAG systems, autonomous agents, and tool integration pipelines.

Chunk size

10 min

Master Chunk size in LLM Engineering. Build production-ready RAG systems, autonomous agents, and tool integration pipelines.

Overlap

10 min

Master Overlap in LLM Engineering. Build production-ready RAG systems, autonomous agents, and tool integration pipelines.

Metadata

10 min

Master Metadata in LLM Engineering. Build production-ready RAG systems, autonomous agents, and tool integration pipelines.

Similarity search

10 min

Master Similarity search in LLM Engineering. Build production-ready RAG systems, autonomous agents, and tool integration pipelines.

Retrieval quality

10 min

Master Retrieval quality in LLM Engineering. Build production-ready RAG systems, autonomous agents, and tool integration pipelines.

Top-k retrieval

10 min

Master Top-k retrieval in LLM Engineering. Build production-ready RAG systems, autonomous agents, and tool integration pipelines.

Basic RAG architecture

10 min Preview

Master Basic RAG architecture in LLM Engineering. Build production-ready RAG systems, autonomous agents, and tool integration pipelines.

Retrieval → augmentation → generation

10 min

Master Retrieval → augmentation → generation in LLM Engineering. Build production-ready RAG systems, autonomous agents, and tool integration pipelines.

Grounding

10 min

Master Grounding in LLM Engineering. Build production-ready RAG systems, autonomous agents, and tool integration pipelines.

Context selection

10 min

Master Context selection in LLM Engineering. Build production-ready RAG systems, autonomous agents, and tool integration pipelines.

Citation requirements

10 min

Master Citation requirements in LLM Engineering. Build production-ready RAG systems, autonomous agents, and tool integration pipelines.

“Answer only from provided context”

10 min

Master “Answer only from provided context” in LLM Engineering. Build production-ready RAG systems, autonomous agents, and tool integration pipelines.

Unknown-answer handling

10 min

Master Unknown-answer handling in LLM Engineering. Build production-ready RAG systems, autonomous agents, and tool integration pipelines.

Retrieval failures

10 min

Master Retrieval failures in LLM Engineering. Build production-ready RAG systems, autonomous agents, and tool integration pipelines.

Context relevance

10 min

Master Context relevance in LLM Engineering. Build production-ready RAG systems, autonomous agents, and tool integration pipelines.

RAG evaluation

10 min

Master RAG evaluation in LLM Engineering. Build production-ready RAG systems, autonomous agents, and tool integration pipelines.

Tools vs prompts

10 min Preview

Master Tools vs prompts in LLM Engineering. Build production-ready RAG systems, autonomous agents, and tool integration pipelines.

Function schemas

10 min

Master Function schemas in LLM Engineering. Build production-ready RAG systems, autonomous agents, and tool integration pipelines.

Tool selection

10 min

Master Tool selection in LLM Engineering. Build production-ready RAG systems, autonomous agents, and tool integration pipelines.

Arguments

10 min

Master Arguments in LLM Engineering. Build production-ready RAG systems, autonomous agents, and tool integration pipelines.

Validation

10 min

Master Validation in LLM Engineering. Build production-ready RAG systems, autonomous agents, and tool integration pipelines.

Tool results

10 min

Master Tool results in LLM Engineering. Build production-ready RAG systems, autonomous agents, and tool integration pipelines.

Error handling

10 min

Master Error handling in LLM Engineering. Build production-ready RAG systems, autonomous agents, and tool integration pipelines.

Multiple tools

10 min

Master Multiple tools in LLM Engineering. Build production-ready RAG systems, autonomous agents, and tool integration pipelines.

Tool permissions

10 min

Master Tool permissions in LLM Engineering. Build production-ready RAG systems, autonomous agents, and tool integration pipelines.

Tool-use reliability

10 min

Master Tool-use reliability in LLM Engineering. Build production-ready RAG systems, autonomous agents, and tool integration pipelines.

What is an AI agent?

10 min Preview

Master What is an AI agent? in LLM Engineering. Build production-ready RAG systems, autonomous agents, and tool integration pipelines.

Agent vs chatbot

10 min

Master Agent vs chatbot in LLM Engineering. Build production-ready RAG systems, autonomous agents, and tool integration pipelines.

Planning

10 min

Master Planning in LLM Engineering. Build production-ready RAG systems, autonomous agents, and tool integration pipelines.

Tool use

10 min

Master Tool use in LLM Engineering. Build production-ready RAG systems, autonomous agents, and tool integration pipelines.

State

10 min

Master State in LLM Engineering. Build production-ready RAG systems, autonomous agents, and tool integration pipelines.

Memory

10 min

Master Memory in LLM Engineering. Build production-ready RAG systems, autonomous agents, and tool integration pipelines.

Observation

10 min

Master Observation in LLM Engineering. Build production-ready RAG systems, autonomous agents, and tool integration pipelines.

Action

10 min

Master Action in LLM Engineering. Build production-ready RAG systems, autonomous agents, and tool integration pipelines.

Feedback loops

10 min

Master Feedback loops in LLM Engineering. Build production-ready RAG systems, autonomous agents, and tool integration pipelines.

Multi-step execution

10 min

Master Multi-step execution in LLM Engineering. Build production-ready RAG systems, autonomous agents, and tool integration pipelines.

Human approval

10 min

Master Human approval in LLM Engineering. Build production-ready RAG systems, autonomous agents, and tool integration pipelines.

Agent failure modes

10 min

Master Agent failure modes in LLM Engineering. Build production-ready RAG systems, autonomous agents, and tool integration pipelines.

Agent boundaries

10 min

Master Agent boundaries in LLM Engineering. Build production-ready RAG systems, autonomous agents, and tool integration pipelines.

Prompt injection

10 min Preview

Master Prompt injection in LLM Engineering. Build production-ready RAG systems, autonomous agents, and tool integration pipelines.

Indirect prompt injection

10 min

Master Indirect prompt injection in LLM Engineering. Build production-ready RAG systems, autonomous agents, and tool integration pipelines.

Jailbreak concepts

10 min

Master Jailbreak concepts in LLM Engineering. Build production-ready RAG systems, autonomous agents, and tool integration pipelines.

Instruction conflicts

10 min

Master Instruction conflicts in LLM Engineering. Build production-ready RAG systems, autonomous agents, and tool integration pipelines.

Data exfiltration

10 min

Master Data exfiltration in LLM Engineering. Build production-ready RAG systems, autonomous agents, and tool integration pipelines.

Tool abuse

10 min

Master Tool abuse in LLM Engineering. Build production-ready RAG systems, autonomous agents, and tool integration pipelines.

Malicious documents

10 min

Master Malicious documents in LLM Engineering. Build production-ready RAG systems, autonomous agents, and tool integration pipelines.

Untrusted user input

10 min

Master Untrusted user input in LLM Engineering. Build production-ready RAG systems, autonomous agents, and tool integration pipelines.

System prompt leakage

10 min

Master System prompt leakage in LLM Engineering. Build production-ready RAG systems, autonomous agents, and tool integration pipelines.

Output validation

10 min

Master Output validation in LLM Engineering. Build production-ready RAG systems, autonomous agents, and tool integration pipelines.

Least-privilege tools

10 min

Master Least-privilege tools in LLM Engineering. Build production-ready RAG systems, autonomous agents, and tool integration pipelines.

Human approval

10 min

Master Human approval in LLM Engineering. Build production-ready RAG systems, autonomous agents, and tool integration pipelines.

Prompt versioning

10 min Preview

Master Prompt versioning in LLM Engineering. Build production-ready RAG systems, autonomous agents, and tool integration pipelines.

Configuration management

10 min

Master Configuration management in LLM Engineering. Build production-ready RAG systems, autonomous agents, and tool integration pipelines.

Secrets

10 min

Master Secrets in LLM Engineering. Build production-ready RAG systems, autonomous agents, and tool integration pipelines.

Logging

10 min

Master Logging in LLM Engineering. Build production-ready RAG systems, autonomous agents, and tool integration pipelines.

Observability

10 min

Master Observability in LLM Engineering. Build production-ready RAG systems, autonomous agents, and tool integration pipelines.

Token monitoring

10 min

Master Token monitoring in LLM Engineering. Build production-ready RAG systems, autonomous agents, and tool integration pipelines.

Cost management

10 min

Master Cost management in LLM Engineering. Build production-ready RAG systems, autonomous agents, and tool integration pipelines.

Latency

10 min

Master Latency in LLM Engineering. Build production-ready RAG systems, autonomous agents, and tool integration pipelines.

Retries

10 min

Master Retries in LLM Engineering. Build production-ready RAG systems, autonomous agents, and tool integration pipelines.

Timeouts

10 min

Master Timeouts in LLM Engineering. Build production-ready RAG systems, autonomous agents, and tool integration pipelines.

Fallback models

10 min

Master Fallback models in LLM Engineering. Build production-ready RAG systems, autonomous agents, and tool integration pipelines.

Caching

10 min

Master Caching in LLM Engineering. Build production-ready RAG systems, autonomous agents, and tool integration pipelines.

Rate limits

10 min

Master Rate limits in LLM Engineering. Build production-ready RAG systems, autonomous agents, and tool integration pipelines.

Model upgrades

10 min

Master Model upgrades in LLM Engineering. Build production-ready RAG systems, autonomous agents, and tool integration pipelines.

Regression testing

10 min

Master Regression testing in LLM Engineering. Build production-ready RAG systems, autonomous agents, and tool integration pipelines.

Final Engineering Capstone

10 min Preview

Master Final Engineering Capstone in LLM Engineering. Build production-ready RAG systems, autonomous agents, and tool integration pipelines.

Project A — Enterprise Document Assistant PDF ↓ Chunking ↓ Embeddings ↓ Vector Search ↓ RAG ↓ Prompt ↓ LLM ↓ Citation

10 min

Master Project A — Enterprise Document Assistant PDF ↓ Chunking ↓ Embeddings ↓ Vector Search ↓ RAG ↓ Prompt ↓ LLM ↓ Citation in LLM Engineering. Build production-ready RAG systems, autonomous agents, and tool integration pipelines.

Project B -AI Coding Assistant Requirement ↓ Specification ↓ Code Generation ↓ Tests ↓ Code Review ↓ Security Review

10 min

Master AI Coding Assistant Requirement ↓ Specification ↓ Code Generation ↓ Tests ↓ Code Review ↓ Security Review in LLM Engineering. Build production-ready RAG systems, autonomous agents, and tool integration pipelines.

Project C — Customer Support Agent User ↓ Intent Detection ↓ Knowledge Retrieval ↓ Tool Selection ↓ Response ↓ Human Escalation

10 min

Master Project C — Customer Support Agent User ↓ Intent Detection ↓ Knowledge Retrieval ↓ Tool Selection ↓ Response ↓ Human Escalation in LLM Engineering. Build production-ready RAG systems, autonomous agents, and tool integration pipelines.

Project D — Data Extraction Pipeline Documents ↓ Extraction Prompt ↓ Structured JSON ↓ Schema Validation ↓ Database ↓ Quality Report

10 min

Master Project D — Data Extraction Pipeline Documents ↓ Extraction Prompt ↓ Structured JSON ↓ Schema Validation ↓ Database ↓ Quality Report in LLM Engineering. Build production-ready RAG systems, autonomous agents, and tool integration pipelines.

In case you are thinking of beginning your IT career, Prompt Engineering for AI Developers is the best course program to start and our None is structured in such a way that you will be job ready on the first day after course completion.

Course Description

Prerequisites

  • Basic Programming (Optional)
  • Basic Ai Knowledge

Skills You'll Gain

Software Documentation Ai Integrations Large Language Modeling Tool Calling Code Review Prompt Patterns Authentications Llm Application Prompt Engineering Tools Token Optimization

Your Instructors

Manoj Yadav

Lead Instructor

Tech Consultant

15+ Years Experience in Python,Unix,Database ,AI, ML, And Backend Systems For Developing Solutions. Total Expereince in teaching 15

⭐ 4.1 (121 Reviews)
👨‍🎓 1200 Students
📚 12 Courses

Student Reviews

4.9 (5 Rating or 4.8)
M

Manish Kumar

★ ★ ★ ★ ★

"The course develops practical prompt engineering skills through structured examples, experimentation, and real-world use cases. The trainer explains prompting strategies clearly, helping learners improve accuracy, consistency, reasoning, and output quality across modern generative AI applications."

A

Amit Sharma

★ ★ ★ ★ ★

"Learners practice prompt design, role prompting, structured outputs, context management, and iterative refinement. Trainer demonstrations make advanced techniques easier to understand. Hands-on activities provide useful skills for improving productivity and building effective AI-powered workflows."

D

Dipesh Pandey

★ ★ ★ ★ ★

"A practical program focused on designing reliable prompts for professional applications. The instructor connects prompting principles with realistic scenarios, helping learners understand how instructions, context, constraints, and examples influence model responses and business outcomes."

F

Fateh Singh

★ ★ ★ ★ ☆

"The trainer explains prompt engineering concepts systematically using practical examples. Learners experiment with different strategies and learn how to refine responses. Excellent course for professionals wanting better results from AI tools and stronger foundations for advanced GenAI development."

N

Niharika Singh

★ ★ ★ ★ ★

"The program delivers practical prompting capabilities applicable across development, analytics, content, automation, and business workflows. Strong trainer guidance and hands-on experimentation make the course valuable for professionals integrating generative AI into daily work."

FAQ

🔹 Is this course available online or offline?

Yes, course is available in both modes.

🔹 Certificate of completion?

Yes, shareable digital certificate.

🔹 Can i make fee payments in parts ?

Yes, Few basis , we allow candidates to pay fee in parts.

🔹 Projects included?

5 major minor portfolio projects.

🔹 Can you provide guaranteed placement after the course ?

Yes, we provide you the assured placement. we have a dedicated team for placement assistance.

Career Outcomes

Career outcomes will be added soon.

₹999 *Off on one-time payment
✨ 5-day money-back guarantee
Includes free 2-day preview session
  • Personalized Learning Roadmap
  • AI-Powered Learning Assistant
  • Hands-on Projects
  • Job-Ready Skills
  • Verified Certificate
  • 24/7 Q&A/ Project Support

Course Features

33 Hrs.+ Sessions
48+ Exercises
Resources Kit
Daily Quiz-Assignments

Earn a Verified Certificate

Shareable on LinkedIn & Resume

Industry Recognized Verified by BMLC

❤️ We Care & Build Your Confidence

1-on-1 Mentorship: Dedicated professional mentors guide you through every challenge.

Peer Learning Community: Join 1k+ learners in weekly code reviews.

Confidence Booster: Project-based learning with real-world simulations.

🎯 Latest Job Matches For You

Python Developer

TechCorp • Remote

New
AI Engineer

InnovateAI • Bangalore

Urgent
Backend Architect

ScaleUp • Hybrid

Top Match

💰 Salary Earned By Developers

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Upcoming Course Events

Live & Interactive-Offline
22
Oct
Coding session

Agentic AI Session

Praveen Y

01:00 PM - 01:00 PM

Build Agents Quickly

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*All events are recorded and available for enrolled students

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Join the most practical Prompt Engineering for AI Developers in Sector 45 46 47, Gurgaon. Master hands-on modules, live industry projects, FastAPI/AI tools, and get 10...

Prompt Engineering for AI Developers Institute in Sector 45 46 47, Gurgaon

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Prompt Engineering for AI Developers Course Near Udyog Vihar (Phase 1 to 5)

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Prompt Engineering for AI Developers Course Near Sector 45/ 46 / 47

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Prompt Engineering for AI Developers Course Near Sector 39 (Near Unitech Cyber Park)

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Prompt Engineering for AI Developers Course Near MG Road (Sushant Lok 1)

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Prompt Engineering for AI Developers Course Near Golf Course Extension Road

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Prompt Engineering for AI Developers Course Near Sector 56 (Sushant Lok 2/3)

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Prompt Engineering for AI Developers Course Near Sector 65 M3M Golf Estate

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Prompt Engineering for AI Developers Course Near Sector 69 Tulip Chowk

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