AI workshops built for
real outcomes.

Prompt Engineering
& AI Tools

Designed for any college student, any branch, any year. Students leave with a completely rewritten AI-powered resume and real confidence using AI tools every single day.

• 1
  What AI actually is — plain English

  No jargon. How LLMs work, what they're good at, and why this changes careers.

  • How ChatGPT generates a response (token by token)
  • AI tools vs. AI engineering — what's the difference
  • Why "AI will take jobs" is half true — the survivable half

  30 min
• 2
  Prompt engineering fundamentals

  The skill that makes AI 10x more useful — how to write prompts that actually work.

  • Role prompting, context setting, output formatting
  • Chain-of-thought for complex reasoning tasks
  • Few-shot prompting — teaching AI by example
  • Live practice: fix a bad prompt in real time

  45 min
• 3
  Your AI toolkit — 8 tools, hands-on

  Demo and practice with tools mapped to what each branch actually needs daily.

  • Perplexity — research without 10 browser tabs
  • Notion AI — notes, summaries, knowledge bases
  • Canva AI — design without design skills
  • Gamma — presentations in minutes, not hours
  • Otter.ai — meeting notes and transcription

  60 min
• 4
  Build your AI-powered resume + cover letter

  Every student rewrites their own resume live using Claude — polished before they leave.

  • Feed your old resume in — get a better one out
  • Write a cover letter for a specific job in under 5 minutes
  • LinkedIn headline that gets recruiter attention

  45 min
• 5
  Q&A + Certificate + WhatsApp community

  Open Q&A, certificate distribution, and onboarding into the SkillNode alumni group.

  30 min

Build With AI —
APIs, Chatbots & RAG

CS, BCA, and IT students build and deploy a working AI product by end of day — a real chatbot with a custom persona and RAG capabilities that lives on the internet with their name on it.

• 1
  LLM APIs under the hood

  How LLMs actually work, what tokens and context windows are, and why it matters for building.

  • Live Postman API calls to OpenAI
  • Tokens, temperature, top-p — what each does
  • System prompts vs. user prompts
  • Cost estimation and rate limits

  60 min
• 2
  Building your first AI chatbot

  React frontend integrated with the OpenAI API — streaming responses, custom persona, working UI.

  • React component structure for a chat UI
  • Connecting to OpenAI API from the frontend
  • Streaming tokens in real time (SSE)
  • Designing a system prompt persona

  90 min
• 3
  RAG — making AI answer from your own data

  Turn the chatbot into a document Q&A system that answers from uploaded PDFs with accuracy.

  • What embeddings are and why they work
  • Chunking a PDF and embedding each chunk
  • Similarity search — finding the right context
  • Injecting context into the prompt

  90 min
• 4
  Deploy to the web + portfolio packaging

  Push to GitHub, deploy to Vercel, write a README, and package the project for recruiters.

  • Vercel deployment in under 5 minutes
  • Writing a professional GitHub README
  • Crafting a LinkedIn project post
  • How to talk about this in interviews

  60 min
• 5
  AI engineering career paths + Q&A

  What roles exist, what they pay, and the exact roadmap from college student to AI engineer.

  • AI Engineer vs. ML Engineer vs. Data Scientist
  • Salary ranges in India and globally
  • Next skills to learn after this workshop

  40 min

ML Bootcamp +
AI Placement Prep

Final year students build two deployed ML projects, ace the AI/ML interview questions, and walk out with a rewritten resume positioning them as an AI candidate — ready for placements starting the next week.

Corporate AI
Team Upskilling

IT companies and startups hire us to upskill their dev teams, product managers, and founders — from AI-first workflows to production LLM integration and agentic automation.

• A
  AI-first development workflows

  How to integrate AI tools into daily dev workflow — GitHub Copilot, Cursor, AI code review, automated testing.

  Half day
• B
  Integrating LLMs into your product

  Prompt engineering, API integration, streaming, cost management, evaluation.

  Full day
• C
  Building RAG for internal data

  Document ingestion, chunking strategies, embedding, vector DB, reranking, production deployment.

  Full day
• D
  Agentic AI for business automation

  Multi-agent systems, tool use, MCP/A2A protocols, building autonomous workflows for your business.

  2 days