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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.

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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

User-friendly No-Code AI tools

200+ Learners

Online/Offline Classes

4.8/5(120+ reviews)

Request a Callback

Want to know exactly how much it costs & when the next batch starts? Tell us where to call you!

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Why Prompt Engineering with Gen AI?

These highlights are extracted from your official brochure (see pages 1, 3 and 6) and presented with live counters for quick scanning.

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Program Duration

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Practical : Theory

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Doubt Solving

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Job Assistance

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0+ Years

Mentor Expertise

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AAA

Global Certification

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Market Growth (2020–2030)

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Job Vacancies in India

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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.

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10-Module Curriculum

A 10-module, industry-aligned pathway from AI/ML foundations to Generative AI, LLMs, Vision & Speech, Prompt Engineering, Responsible AI, and a hands-on capstone.

AI & ML CoreLLMs & TransformersVision, Video & SpeechPrompting & Responsible AI

01
Introduction to AI
What is AI, its evolution, and importance • Real-world applications • AI vs. Machine Learning vs. Deep Learning • Limitations and ethical considerations.
Hands-On LabBest PracticesMentor Tips
02
AI Ecosystem & ML Foundations
Subfields of AI (NLP, Computer Vision, Robotics, ML) • Intro to Machine Learning • Learning types (Supervised, Unsupervised) • Basics of Neural Networks • Everyday AI-powered tech.
Hands-On LabBest PracticesMentor Tips
03
Introduction to Generative AI
What Generative AI is and how it creates new content • How it differs from traditional AI • Cross-domain use cases (marketing, healthcare, finance, gaming, etc.).
Hands-On LabBest PracticesMentor Tips
04
Generative Learning & Technical Concepts
Foundational model families (LLMs, LIMs, LAMs) • Fine-tuning and transfer learning • Transformer architecture fundamentals.
Hands-On LabBest PracticesMentor Tips
05
Evolution & Power of Large Language Models
LLM basics (NLP, prompting, zero-shot & few-shot) • Evolution of LLMs (GPT, Claude, Llama, Gemini/Bard, Pi) • Tokenization, embeddings, context windows • Real-world use cases (chat & voice assistants).
Hands-On LabBest PracticesMentor Tips
06
Computer Vision & LIMs — Teaching AI to See
Intro to Computer Vision • Image processing and feature extraction • Large Image Models (Stable Diffusion, Leonardo.ai, DALL-E) • LIM applications.
Hands-On LabBest PracticesMentor Tips
07
Video, Speech & Generative AI Tools
Video & speech AI tooling (e.g., VEED, PlayHT, Suno.ai) • Text-to-Speech & Speech-to-Text applications • AI-powered video & audio generation.
Hands-On LabBest PracticesMentor Tips
08
Prompt Engineering & Practical Applications
Prompting foundations • Zero-shot, one-shot, few-shot techniques • Case studies (e.g., brand campaigns) • Hands-on: designing prompts across different AI models.
Hands-On LabBest PracticesMentor Tips
09
Responsible AI & Governance
Ethics and bias in AI models • Governance for responsible deployment • Regulations & compliance • Best practices: Human-in-the-loop, monitoring, AI collaboration.
Hands-On LabBest PracticesMentor Tips
10
Capstone Project & Certification
Real-world AI implementation project • Assessment and certification pathway.
Hands-On LabBest PracticesMentor Tips

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

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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

ChatGPTConversational LLM
Design system prompts, few-shot examples, and structured outputs for robust assistants.
DALL·EText-to-Image
Craft visual prompts, control styles, and iterate compositions for brand-ready imagery.
MidjourneyArt Direction
Stylize prompts with descriptors, aspect ratios, and seeds for consistent art direction.
Stable DiffusionOpen Diffusion
Master negative prompts, CFG, and ControlNet for controllable generative outputs.
Prompt ToolsLibraries & QA
Use templates, evaluators, and versioning to A/B test prompts and track win-rates.
Google BardGenerative Search
Explore search-grounded prompting and factuality checks for knowledge tasks.
Claude AILong Context
Structure long-form prompts, safety rails, and analysis workflows with extended context.
GrokFast Inference
Optimize prompts for latency/cost tradeoffs and high-throughput generation.

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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

Deployed & documented

Target CTC

₹8–15 LPA

Role & location vary

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.

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.

Interview Readiness

Career Prep & Mock Interviews

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

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).

Learn from anywhere. Your GenAI journey starts here.

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Real-World Prompt Projects

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

# 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)

# 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

# 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

# Customer Support Copilot

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

RAG citations
Policy guardrails
Fallback prompts

RetrievalEval HarnessModerator Layer

# 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

# 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

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.

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Top Companies Hiring Prompt Engineers

•50K+ Job Vacancies in India•Product • Services • Startups • Enterprises

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

Prompt EngineerLLM Application EngineerAI Automation EngineerRAG/Knowledge EngineerAI Product Specialist

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

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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.

# 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

# 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

# Developers & Engineers

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

Spec → Code prompting
JSON schema outputs & tests

# 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

# Entrepreneurs & Freelancers

Launch AI-powered agencies or products. Learn to build MVPs, automate operations, and scale with GenAI.

Rapid prototyping
AI agency roadblocks

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.

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Frequently Asked Questions

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

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? for a personalized walkthrough of the curriculum and outcomes.

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Master Program in Prompt Engineering with Generative AI