Indian professionals at laptops in a modern co-working space, practicing prompt engineering with Claude AI. One instructor demonstrates a prompt pattern on screen. Focused, collaborative energy.

THE AVERAGE PROFESSIONAL WASTES 40% OF AI INTERACTIONS ON VAGUE PROMPTS

From Vague Prompts to Precision Engineering

ONSITE | 11 TECHNIQUES | HANDS-ON | INDIA

Master the system that turns every AI interaction into a precise, structured, professional-grade response. No coding. No theory lectures. Just build.

Limited to 25 seats per cohort

Reserve Your Seat See What You'll Master
11 Techniques Mastered
25 Seats Per Cohort
33+ Practice Exercises
1 Day, Full Immersion

BUILT BY SQUARESHIFT -- GOOGLE CLOUD PREMIER PARTNER

Broadcom Oracle Amazon EY MetLife
AI & PROMPT ENGINEERING

Prompt Engineering Mastery

BEGINNER · ONSITE · INSTRUCTOR-LED

You walk in writing prompts like "explain machine learning." You leave writing prompts with roles, XML structure, output formatting, chain-of-thought reasoning, and few-shot examples that make AI deliver exactly what you need. Every chapter builds on the last. Every technique is practiced in real-time with Claude AI. By the final challenge, you combine all 11 techniques into a single professional-grade prompt that solves a real career problem.

  • RICE Framework mastery — Role, Instructions, Context, Expectations in every prompt
  • Precision communication toolkit — eliminate ambiguity, force decisions, control output
  • Role engineering library — 6 persona types that reshape AI behavior
  • XML-structured prompts — separate data from instructions with crystal clarity
  • Output formatting control — tables, JSON, markdown, custom templates on demand
  • Chain-of-thought reasoning — step-by-step logic for complex problems
  • Few-shot learning patterns — teach AI by example, not explanation
  • Hallucination prevention protocol — truth verification, confidence scoring
  • Advanced prompt design — meta-prompting, self-evaluation, multi-step workflows
  • Prompt debugging checklist — systematic diagnosis when prompts underperform
  • Context optimization system — manage long conversations, prevent degradation

Tech Stack

Claude AI ChatGPT Gemini

Amateurs vs. Professionals

DIMENSION AMATEUR PROFESSIONAL
Prompt Structure Types whatever comes to mind Uses RICE framework: Role, Instructions, Context, Examples
Output Quality Gets generic, padded responses Gets precise, structured, actionable output
Iteration Re-runs the same prompt hoping for better Debugs systematically with evaluation criteria
Context Dumps the entire problem without structure Provides calibrated context with constraints and boundaries
Complex Tasks One giant prompt, one giant mess Chains prompts in sequences with clear handoffs
Measurability "I'll know it when I see it" Defines rubrics and scores AI output against them
This is not talent. It is technique. And technique can be taught.

One Day. Three Acts. Total Transformation.

Here is what a bootcamp day actually feels like.

ACT 1 / FOUNDATION

The Hook

The instructor demos a professional-grade prompt that combines all 11 techniques. The output is precise, structured, and immediately useful. One question fills the room: how do I write prompts like that?

CHAPTERS 1-3

Architecture, Precision, Roles

You write your first prompt. Then you rewrite it with the RICE Framework. The output transforms. You climb the Specificity Ladder. You assign roles and watch AI behavior change fundamentally. Three practice exercises per chapter — you build muscle memory.

CHAPTERS 4-5

Structure & Formatting

XML tags bring order to chaos. Your prompts have clear boundaries between instructions and data. Then you learn to control output format — tables, JSON, markdown, custom templates. Every prompt now produces exactly what you need.

BREAK

Networking

1:1 instructor questions. Connect with other professionals. Refill your coffee.

ACT 2 / SKILL BUILDING

Chain-of-Thought & Few-Shot

You tackle a math problem without chain-of-thought — AI gets it wrong. Add "think step by step" — AI gets it right. The difference is dramatic. Then you teach AI by example: sentiment classification, style transformation, data extraction. Few-shot learning changes everything.

CHAPTERS 8-9

Truth & Advanced Design

You learn to prevent hallucinations before they happen. Confidence scoring. Source citation. Then the advanced techniques: meta-prompting, self-evaluation, prompt chaining. You are now writing prompts that generate prompts.

ACT 3 / MASTERY

Debugging & Optimization

A prompt fails. Instead of guessing, you diagnose systematically — isolate variables, test one change, document results. Then context optimization: how to maintain AI performance across long sessions. These are the skills that separate casual users from professionals.

SHOWCASE

The Final Challenge

Combine ALL 11 techniques into a single comprehensive prompt that solves a real career problem. Role + XML structure + output formatting + chain-of-thought + few-shot examples + hallucination guards. Two volunteers present. Peer voting. You leave with a complete prompt engineering toolkit.

Instructor talks less than 25%. You build 90%+.

25 students. No one hides.

THE SYSTEM

11 Techniques. 33+ Exercises. One Toolkit.

Each chapter builds on the last. Each technique is practiced hands-on with Claude AI.

CH1

PROMPT ARCHITECTURE

Master the RICE Framework — Role, Instructions, Context, Expectations. Learn how system prompts pre-configure behavior and user messages drive interaction. Build your first structured prompt.

RICE Framework: Role ("You are a data analyst...") + Instructions ("Analyze these trends...") + Context ("This is for a quarterly report...") + Expectations ("Present as bullet points...")
CH2

PRECISION COMMUNICATION

Eliminate ambiguity. Force decisions. Control output length, format, and audience. Master the Specificity Ladder — transform vague requests into precise ones that get exact results.

Specificity Ladder: "Write about dogs" → "Write 150 words about why Golden Retrievers make great family pets, targeting first-time dog owners, using a warm and encouraging tone"
CH3

ROLE ENGINEERING

Assign strategic personas that reshape AI behavior. Master role stacking — combine multiple expertise areas. Understand why roles improve reasoning on logic tasks.

Role Stacking: "You are a pediatrician who is also a parent of three. You combine medical expertise with real-world parenting experience. You're known for practical advice."
CH4

XML STRUCTURE MASTERY

Separate data from instructions using XML tags. Prevent prompt injection. Organize complex prompts with crystal clarity using , , , , and tags.

Career coach with 15 years experience Marketing manager considering PM switch Create a 90-day transition plan
CH5

OUTPUT FORMATTING

Control exactly how AI responds. Master tables, JSON, markdown, numbered lists, and custom format templates. Build reusable templates for consistent outputs across repeated tasks.

Format Template: "HEADLINE SUMMARY / Main Point: [1 sentence] / Key Details: → [detail 1] → [detail 2] / So What?: [why this matters] / Read More If: [who should read]"
CH6

CHAIN-OF-THOUGHT REASONING

Unlock better answers through step-by-step thinking. Dramatically improve accuracy on math, logic, and complex analysis. Add confidence scoring to verify reasoning quality.

Structured CoT: "1. UNDERSTAND: What am I being asked? 2. IDENTIFY: Key numbers and relationships 3. WORK: Show each step 4. CHECK: Verify answer 5. ANSWER: State clearly"
CH7

FEW-SHOT LEARNING

Teach AI by showing examples, not explaining in abstract. Master sentiment classification, style transformation, data extraction, and negative examples. Build pattern libraries.

Few-Shot Pattern: "Review: 'This product exceeded expectations!' → Positive / Review: 'Arrived broken.' → Negative / Now classify: 'Best purchase this year!'"
CH8

HALLUCINATION PREVENTION

Design prompts that avoid fabrication from the start. Give AI permission to say 'I don't know.' Build truth verification protocols with source citation and confidence levels.

Hallucination Guard: "If you're not certain about any claim, explicitly state your uncertainty level. Cite specific sources. Say 'I don't know' rather than guessing."
CH9

ADVANCED PROMPT DESIGN

Professional-grade techniques: meta-prompting (prompts that generate prompts), self-evaluation loops, multi-step workflows, and prompt chaining for complex tasks.

Meta-Prompt: "You are a prompt engineer. Write me the optimal prompt for [task]. Include: role, context, instructions, format, constraints, and 2 examples."
CH10

PROMPT DEBUGGING

When prompts underperform, diagnose systematically. Isolate variables, test one change at a time, identify root causes. Build a personal debugging checklist.

Debug Protocol: "1. Identify the failure mode 2. Isolate the variable (role? context? format?) 3. Test one change 4. Compare outputs 5. Document what works"
CH11

CONTEXT WINDOW OPTIMIZATION

Manage long conversations without losing coherence. Understand token limits, context degradation, and strategic summarization. Keep AI performing across extended sessions.

Context Management: "Summarize our conversation so far in 3 bullet points, then continue with [next task] using only the summary as context."

They Build AI Systems. They Teach You to Talk to Them.

YOUR INSTRUCTORS

Sezhian Samy

Sezhian Samy

Principal Architect

"Most people talk to AI the way they'd text a friend — three words and hope for the best. We teach you to brief it the way you'd brief a brilliant colleague: with structure, with context, with a clear picture of what 'good' looks like."

Specialty: Enterprise AI Architecture · Prompt Engineering · Cloud-Native Systems

Every instructor uses AI daily in production work at SquareShift. They prompt for a living.

NEXT COHORT

Prompt Engineering Mastery: Beginner

CHENNAI, INDIA | ONSITE

INR 4,999

Corporate

CHENNAI, INDIA | ONSITE

INR 7,999

What You Need Before Day 1

Required

  • Laptop with internet access
  • Free Claude AI account (claude.ai)
  • Willingness to type, experiment, and iterate

Not Required

  • Coding experience
  • AI experience
  • Paid AI subscriptions
  • Technical background

This bootcamp is for anyone who uses AI at work — or wants to start. No technical background needed. Curiosity is the only prerequisite.

Who This Is For

Any professional who uses AI tools — or wants to start. Developers, marketers, PMs, HR, sales, operations, consultants, students, and knowledge workers of all levels.

Knowledge Workers

Professionals who write emails, reports, summaries, and analysis using AI daily

Developers & Engineers

Technical professionals using AI for code generation, debugging, and documentation

Managers & Leaders

Decision-makers who need AI to produce reliable, structured outputs for their teams

Students & Career Changers

Anyone entering the workforce who wants AI fluency as a foundational skill

Consultants & Freelancers

Independent professionals who use AI to multiply their output and quality

No. This bootcamp is designed for professionals of all backgrounds -- marketers, managers, consultants, HR professionals, students, and anyone who uses AI at work. You need a laptop, an internet connection, and a free Claude AI account. That is it. No coding. No technical background. Curiosity is the only prerequisite.
The primary tool is Claude AI (free tier). The techniques you learn -- RICE framework, role engineering, chain-of-thought, few-shot learning -- work identically across ChatGPT, Gemini, and every major AI assistant. You learn the principles, not the platform.
An 11-technique prompt engineering toolkit you can use starting the next day. This includes a personal RICE-structured prompt library, a few-shot pattern set, a prompt debugging checklist, reusable templates for your specific job role, and a SquareShift certificate of completion. Every artifact is built by you during the workshop, not handed to you as a PDF.
No. Tips workshops give you tricks that stop working when the AI model updates. This bootcamp teaches a structured system -- the RICE framework, prompt chaining, meta-prompting, hallucination prevention -- that works across any AI model, any use case, any industry. You leave with a methodology, not a list of hacks.
Yes. Corporate cohorts for teams of 10 or more are available at INR 7,999 per participant. Corporate cohorts include domain-specific prompt libraries customized for your industry and use cases. Contact admissions for scheduling and customization details.
Then you will discover exactly how much capability you have been leaving on the table. Most daily AI users rely on unstructured prompts and accept whatever the AI returns. This bootcamp introduces systematic techniques -- role stacking, XML structure, chain-of-thought, evaluation rubrics -- that transform inconsistent AI interactions into reliable, repeatable, professional-grade outputs. The gap between casual use and professional prompting is larger than most people expect.
Yes. Every participant who completes the workshop and the final challenge receives a SquareShift Prompt Engineering certificate. SquareShift is a Google Cloud Premier Partner with active AI deployments across Fortune 500 clients. The certificate carries the weight of a practitioner-led organization, not an online course factory.
Online prompt engineering courses in India run INR 15,000 to 40,000. Corporate AI training workshops cost INR 50,000 and above per participant. One-on-one AI coaching starts at INR 75,000. Self-paced video courses are cheaper but have completion rates below 13%. This bootcamp is onsite, practitioner-led, limited to 25 seats, and costs INR 4,999 because we believe prompting skill should be accessible to every professional, not priced as a luxury. The value gap is intentional.
University Partnerships Bring prompt engineering bootcamps to your campus. Give students the AI fluency employers demand.
Corporate Training Custom prompt engineering cohorts for your team. Domain-specific prompt libraries included.

Stop Guessing. Start Engineering.

25 seats. A skill that compounds with every AI interaction.

Apply for Next Cohort