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Master Program in Prompt Engineering with Generative AI

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Learn prompt patterns (rewrite, critique, tree-of-thought), build RAG pipelines, leverage function/tool calling & agents, add guardrails & evaluation, and deploy real apps. Earn a QR-verified certificate and a recruiter-proof portfolio.

Includes prompt optimization, embeddings, vector DBs, safety best practices, latency/cost tuning, and CI/CD for LLM apps.

  • Prompt patterns, structure & guardrails (safety-first design)
  • RAG with embeddings & vector DBs (Faiss/PGVector)
  • Tool/function calling, agents & workflows
  • Eval & monitoring • latency/cost optimization • CI/CD
★★★★★#1 Mumbai’s Premium Training Institute

Why Prompt Engineering with Gen AI?

Unlock the power of LLMs with proven prompt patterns, guardrails & safety, and evaluation. Build automation that ships—fast.

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20 Hours

Intensive Training

Prompt patterns • Guardrails
80 : 20

Practical : Theory

Hands-on labs • Reviews
1 : 1

Doubt Solving

Live support • Feedback
100%

Job Assistance

Resume • Mock interviews • Referrals
14+

Years Expertise

Mentor-led • Industry-aligned
AAA

Global Certification

Verifiable • Portfolio-ready

Learn prompt design for chat, tools, RAG, and workflow automation with LLM evaluation and safety-by-design. Target roles: Prompt Engineer, AI Automations Specialist, Applied AI.

*Outcomes vary by prior experience, pace, and project depth.

Prompt Engineering with Gen AI — A Complete Overview

Learn to design prompts that perform across models and use-cases. Build automation and content systems with measurable quality, safety, and cost control.

20 Hours
Hands-On Projects
Expert Instructors
Beginner Friendly
100% Job-Ready

Design Effective Prompts

Master system prompts, role prompting, few-shot patterns, and chain-of-thought to boost quality and reliability.

Frameworks & Patterns

CRISPE, ReAct, CoT, and Planner-Executor frameworks to structure multi-step reasoning and tool use.

Multi-Model Fluency

Work across ChatGPT, Grok, and open-source LLMs; adapt prompts to different model behaviors and contexts.

Automation Pipelines

Wire prompts into APIs and no-code tools, create reusable templates, and automate content & support workflows.

Safety & Guardrails

Mitigate bias, define allowed topics, and implement output validation, red-teaming, and fallbacks.

Evaluate & Iterate

Build prompt test sets, track win-rates, measure latency/cost, and version prompts like code.

What you’ll learn (and build)

From LLM fundamentals and prompt patterns to evaluation and guardrails, this program emphasizes practical, deployable skills. You’ll ship reusable prompt libraries, integrate with APIs, and publish portfolio-ready demos.

  • Reusable prompt libraries for content, research, support, and analysis.
  • Clear rubrics and A/B tests to validate prompt improvements objectively.
  • Portfolio artifacts: prompt packs, evaluation reports, and live demos.

Keywords: prompt engineering course, generative AI prompts, ChatGPT prompting, few-shot CoT, system prompts, evaluation harness, AI content automation, guardrails, LLM safety.

5-Module Curriculum

An industry-aligned Generative AI pathway from LLM fundamentals and prompt patterns to tooling, RAG, ethics, and a portfolio-grade capstone.

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LLM FundamentalsPrompt PatternsTool CallingRAG & Ethics
  1. 01

    Introduction to Generative AI

    Understand GenAI fundamentals: LLMs, tokens, embeddings, context windows, and real-world applications across domains.

    Hands-On LabBest PracticesMentor Tips
  2. 02

    Prompt Engineering Basics

    Craft effective prompts: clarity, constraints, format instructions, few-shot patterns, and evaluation for consistency.

    Hands-On LabBest PracticesMentor Tips
  3. 03

    Advanced Prompt Techniques

    Master chain-of-thought and role prompting, self-critique/repair loops, tool/function calling, and multi-step workflows.

    Hands-On LabBest PracticesMentor Tips
  4. 04

    AI Tools & Applications

    Apply prompts for content, code, and analytics; build RAG with embeddings & vector DBs; ship simple agents & automations.

    Hands-On LabBest PracticesMentor Tips
  5. 05

    Ethical AI & Capstone

    Design safe, ethical GenAI apps: bias, privacy, guardrails, evals & monitoring. Build a capstone with docs and demo.

    Hands-On LabBest PracticesMentor Tips
Apply Now

*Module order may vary slightly based on cohort needs and instructor discretion.

Real-World Prompt Projects

Create AI-powered applications the right way: robust prompt patterns, guardrails, structured outputs, and LLM evaluation.

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# AI Content Generator

Generate long-form articles with sectioning, tone control, and fact-checking cues.

  • Chain-of-Thought templating
  • Style & tone controls
  • Hallucination mitigation
Prompt PatternsLLM EvalRAG (optional)
Portfolio-Ready • Production-MindedView details →

# Code Assistant Bot

Multi-turn coding helper that plans, explains, and writes tests from specs.

  • Planning prompts
  • Tool usage scaffolds
  • Test-first prompting
Spec → CodeUnit TestsError Repair
Portfolio-Ready • Production-MindedView details →

# Image Generation Tool

Prompt a text-to-image model with style presets, seeds, and safety filters.

  • Style dictionaries
  • Negative prompts
  • Seed reproducibility
Text-to-ImageSafety GuardrailsPreset Library
Portfolio-Ready • Production-MindedView details →

# Customer Support Copilot

Retrieval-augmented assistant that cites sources and follows policy reliably.

  • RAG citations
  • Policy guardrails
  • Fallback prompts
RetrievalEval HarnessModerator Layer
Portfolio-Ready • Production-MindedView details →

# Marketing Variant Studio

Batch create on-brand ad variants with A/B hooks and readability checks.

  • Brand voice locks
  • A/B hook generator
  • Readability scoring
Prompt TemplatesConstraintsScorers
Portfolio-Ready • Production-MindedView details →

# Data-Aware Doc Summarizer

Summarize PDFs/spreadsheets with structured outputs and QA follow-ups.

  • JSON schema outputs
  • Follow-up Q&A
  • Citation spans
Doc ParsingSchema-FirstEval Sets
Portfolio-Ready • Production-MindedView details →

These industry-aligned projects emphasize prompt reliability, safety, and evaluation—exactly what hiring managers want for Prompt Engineer, AI Automations, and Applied AI roles.

*Scope may vary by dataset, model, and pace.

What Our Students Say

Real feedback from graduates of our Prompt Engineering with Gen AI program—covering prompt frameworks, evaluation, guardrails, and automation. Portfolio-first and job-focused outcomes.

4.9/5 Average RatingVerified AlumniIndustry-Relevant Projects
Mastered prompt engineering in 20 hours—frameworks like ReAct and CRISPE improved my output quality instantly.
Rohan Mehta
AI Specialist • MediaTech
Portfolio-ready GenAI projects boosted my visibility. I now automate content workflows with measurable quality.
Sneha Patel
Content Creator • Creator Studio
Landed a Prompt Engineer role. Evaluation harness + guardrails made my interviews a breeze.
Arjun Singh
Prompt Engineer • EdTech
Multi-model fluency across ChatGPT and open-source LLMs. Learned to adapt prompts and control cost/latency.
Nandini Rao
Automation Engineer • SaaS
Great mix of safety, bias mitigation, and practical templates. My support bot now performs with higher CSAT.
Aditya Kulkarni
Product Analyst • FinTech
The evaluation rubric and A/B testing mindset were game-changers. Clear, repeatable improvement process.
Priya Sharma
Technical Writer • HealthTech

Read independent reviews of our Prompt Engineering course. Alumni highlight frameworks, evaluation methods, guardrails, automation, and job placements.

Top Companies Hiring Prompt Engineers

50K+ Job Vacancies in IndiaProduct • Services • Startups • Enterprises

High-growth careers across AI content, automation, copilots, RAG platforms, and LLM product engineering.

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Prompt EngineerLLM Application EngineerAI Automation EngineerRAG/Knowledge EngineerAI Product Specialist
Apply for Placement Assistance

*Logos are illustrative of hiring potential. Openings vary by location, skills, and experience.

Who Is This Course For

Master Prompt Engineering to produce reliable, on-spec outputs for content, code, and automation use-cases with guardrails and LLM evaluation.

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# Beginners Interested in AI

Start from the fundamentals of LLMs, prompt patterns, and safe usage—no prior experience required.

  • Zero-to-one learning path
  • Mentor-led practice & feedback
Beginner-Friendly • Job-ReadyLearn more →

# Professionals in Content & Marketing

Automate briefs, drafts, and repurposing with on-brand voice, tone control, and approval-ready outputs.

  • Brand voice locks
  • SEO & readability tooling
Beginner-Friendly • Job-ReadyLearn more →

# Developers & Engineers

Enhance coding workflows with tool-use prompts, structured outputs, and evaluation for reliability.

  • Spec → Code prompting
  • JSON schema outputs & tests
Beginner-Friendly • Job-ReadyLearn more →

# Career Switchers to AI

Build a recruiter-ready portfolio with real projects in chat, RAG, and automation—plus job assistance.

  • Interview prep & ATS resume
  • Portfolio reviews
Beginner-Friendly • Job-ReadyLearn more →

Ideal for beginners, content & marketing pros, developers, and career switchers targeting roles like Prompt Engineer, AI Automations Specialist, and Applied AI.

*Learning paths adapt by background and pace.

Tools & Technologies You’ll Master

Build production-ready prompts and generative workflows across leading LLMs and image models. Learn evaluation, guardrails, and versioning for reliable outcomes.

Hands-On Stack
8 Core Tools
LLMs • Diffusion • QA
Built for Jobs
Portfolio Artifacts
Prompt packs • Demos
Quality First
Eval & Guardrails
Win-rate • Cost control
  • ChatGPT

    Design system prompts, few-shot examples, and structured outputs for robust assistants.

  • DALL·E

    Craft visual prompts, control styles, and iterate compositions for brand-ready imagery.

  • Midjourney

    Stylize prompts with descriptors, aspect ratios, and seeds for consistent art direction.

  • Stable Diffusion

    Master negative prompts, CFG, and ControlNet for controllable generative outputs.

  • Prompt Tools

    Use templates, evaluators, and versioning to A/B test prompts and track win-rates.

  • Google Bard

    Explore search-grounded prompting and factuality checks for knowledge tasks.

  • Claude AI

    Structure long-form prompts, safety rails, and analysis workflows with extended context.

  • Groq

    Optimize prompts for latency/cost tradeoffs and high-throughput generation.

Master ChatGPT, DALL·E, Midjourney, Stable Diffusion, prompt testing tools, Google Bard, Claude AI, and Groq for professional prompt engineering and generative AI workflows.

Your GenAI Career Roadmap

Follow these four proven steps to go from beginner to job-ready Prompt/GenAI professional with portfolio projects recruiters trust.

Program Duration
~ 3–4 Weeks
20 hours guided learning
Portfolio Projects
3+
Deployed & documented
Target CTC
₹8–15 LPA
Role & location vary
  1. 1
    Job-Ready Foundations

    Complete the 20-Hour GenAI Hero Program

    Foundations of LLMs, prompt patterns, context windows, safety/guardrails, and rapid prototyping to build confidence fast.

  2. 2
    Portfolio & GitHub

    Build 3 Portfolio-Grade Projects

    Ship an AI content assistant, a RAG knowledge bot, and an automation/agent workflow with docs, demos, and clean READMEs.

  3. 3
    Interview Readiness

    Career Prep & Mock Interviews

    Resume & LinkedIn optimization, ATS keywords, product thinking, system design for LLM apps, and scenario-based interviews.

  4. 4
    Offer & Onboarding

    Apply & Land a GenAI Role

    Target roles like Prompt Engineer, LLM App Engineer, RAG/Knowledge Engineer, or AI Product Specialist (₹8–15 LPA).

Get Personalized Roadmap

Learn from anywhere. Your GenAI journey starts here.

Frequently Asked Questions

Everything about our Prompt Engineering with Gen AI program—curriculum, tools, projects, timelines, certification, and career support.

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Q. Do I need AI experience?

No. We start from the fundamentals of prompt engineering, model behavior, and safety. You’ll practice with patterns, guardrails, and evaluation to build confidence quickly.

Q. What is the course duration and format?

About 20 hours across 2–4 weeks, with ~80% hands-on labs and portfolio-grade mini projects. Live doubt solving and weekly checkpoints included.

Q. Will I get a certification?

Yes. You’ll receive an AAA global certificate with QR verification. Guidance provided to showcase projects on LinkedIn and GitHub.

Q. What tools and use-cases are covered?

Prompt patterns for content, code, chat, and workflows; guardrails; structured outputs (JSON); and evaluation basics. Optional RAG add-on for citations and reliability.

Q. Do you offer placement support?

Yes—resume/ATS keywords, mock interviews, and portfolio reviews. Target roles include Prompt Engineer, AI Automations Specialist, and Applied AI.

Still have questions? Talk to an advisor for a personalized walkthrough of the curriculum and outcomes.

Ready to Master Prompt Engineering & GenAI?

Join a project-first program with global certification, 20+ guided hours, and 100% job assistance—covering frameworks, evaluation, guardrails, and automation with leading LLMs.

Certification
International
QR-verifiable
Portfolio Output
Prompt Packs & Demos
Eval reports included
Placement Support
End-to-End
Resume • Mock interviews

Flexible schedules • Mentor support • Seats are limited—secure yours today.