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Live AI masterclass · 5 programs

Learn AI by
building it.

Start with a live 3-hour masterclass. Then go as deep as you want — Claude in 2 weeks, Python for AI in a month, Generative AI, or the 3-month Agentic AI Program with real projects and career support.

Live masterclass📅 [DATE] · ⏰ 10:00 AM · ⏳ 3+ hrs · 🎥 Online₹99₹499
copilot.run · week 11 lab · examplerunning
Programs
5 programs
Start in
3 hours
Projects
5+ projects
Batches
Weekday · Weekend
Live masterclass

3 hours that show you
what AI can do for you.

A live, hands-on session for students and professionals. You leave knowing which AI tools to use, how to use them, and which program fits you next.

next session · [DATE] · 10:00 AM

AI Tools & Claude Masterclass

3+ hours · live online · certificate of participation · recording for attendees.

₹99 ₹499

Reserve my seat
01 / prompt

Prompting that works

Get clear, reliable answers from Claude and other AI tools.

02 / work

Claude for study & work

Projects, files and research — finish tasks in minutes.

03 / build

Build something live

Make a small app or website from a single prompt.

04 / roadmap

Your AI roadmap

Which skills lead to which jobs — and the program that fits you. Fee adjusted if you join within 7 days.

you also get
★Ready-to-use prompt pack
★Certificate of participation
★Session recording for attendees
and
★Personal program suggestion on WhatsApp
★Masterclass fee adjusted if you join a program within 7 days
★Weekday or weekend follow-up batch
The journey

From your first prompt to a deployed agent.

scroll →

Flagship · Agentic AI Program · 3 months = 12 weeks

Agentic AI Program,
week by week.

Three months, twelve weeks, 28 modules. Month 1 builds the base, Month 2 covers ML and LLMs, Month 3 builds and deploys agents. Every week has a lab and something you ship.

12 weeks · 28 modules · 5 projects + capstone · about 4–6 hours a week · see the full program page →

Portfolio

5 projects + a capstone
you will actually build.

Abstract AI visual
Week 04Project 1

Mini data project

Clean a real dataset, find the story and present it with charts and a dashboard.

  • Pandas
  • NumPy
  • Plotly
  • Power BI
Robot figure
Weeks 05–06Project 2

Mini ML project

Train, evaluate and improve a prediction model on real data.

  • regression
  • evaluation
  • Hugging Face
Team workspace
Weeks 09–10Project 4

RAG document chatbot

Answers from your own documents with sources, and says when it does not know.

  • LangChain
  • ChromaDB
  • FAISS
  • Ollama
Laptop with code
Weeks 11–12Capstone

Deployed agentic workflow

An n8n + MCP agent with tools, limits and human approval, deployed to the cloud and demoed live.

  • n8n
  • MCP
  • Git & CI/CD
  • AWS

Project 3 (Week 08) is an LLM tool automated with Zapier · capstone tracks to choose from

Knowledge-base assistantCustomer-support copilotResearch workflow assistantDeveloper docs assistantOperations workflow assistantDomain-specific helper
Architecture

One system,
built layer by layer.

How the pieces you build in the Agentic AI Program fit together. Pick a flow, then select a layer to see what it does and which week you build it.

LAYER

User experience

Principle: keep the model inside a controlled application. Validate inputs and outputs, limit tool permissions, record traces, evaluate before release.

Assessment

Graded on evidence,
not attendance.

Pass by submitting the required labs, scoring at least 60% overall and demoing a working capstone, including its failure modes.

Weights and pass mark are proposed, pending approval. Certificate issued by Agentshala; no external accreditation implied.

Capstone rubric
CriterionWeightWhat reviewers look for
Problem definition10%Clear target user, scope, non-goals and measurable success criteria
Technical implementation20%Coherent architecture, maintainable code, reproducible setup
AI quality & evaluation20%Representative test set, measured results, error analysis
Safety, privacy & controls15%Data permissions, injection awareness, bounded tools, human approval
Reliability & operations15%Error handling, traces, tests, cost and latency awareness
Documentation & demo10%README, architecture diagram, limitations, clear demo
Reflection & trade-offs10%Model and tool choices, alternatives, what to improve next
The method

Every program runs
the same loop.

01 / learn

Learn

A short concept lesson that states the limits up front.

02 / build

Build

A small lab from starter code and sample data.

03 / test

Test

Run it on normal, edge and adversarial cases. This is where most courses stop being honest.

04 / document

Document

Record what worked, what failed and why, in a README someone else can follow.

05 / improve

Improve

Fix the highest-priority failure, then re-run the tests.

typical ai course
  • ×Chat demos that work once on stage
  • ×Agents with unlimited tools and no stop rule
  • ×"Looks right" as the quality bar
  • ×Certificate for attendance
this course
  • ✓Start small — 3 hours, 2 weeks, 1 month or 3 months
  • ✓Bounded agents: allowlists, budgets, human approval
  • ✓Groundedness, citations and recall@k measured on eval sets
  • ✓Every course ends with a project you built
What you gain

What you walk
away with.

Hours back every day

Use AI to finish study, writing and work tasks faster.

A real portfolio

Apps, chatbots and agents you built — on GitHub.

Job-ready skills

Python, LLMs, RAG and automation employers ask for.

A way to earn

Freelance with the AI services you learn to deliver.

Career roadmap

7-step career roadmap, from learning to job-ready.

Travel the road one milestone at a time. All seven stages are included in the Agentic AI Program; short-course learners get the first three. Soft-skill training is optional.

Job-ready!

Your career success

5+ projectsStrong profileInterview readyGet hired

Build your skills… achieve your career goals!

Placement support, not a job guarantee. NSDC accreditation is in progress and will be announced once approved.

Instructors

Taught by
practitioners.

Profiles appear once confirmed. We list verified roles and experience only.

[Instructor name]

[Verified role · areas taught]

[Instructor name]

[Verified role · areas taught]

[Lab mentor name]

[Verified role · areas taught]

Learner stories

Real reviews,
after our first batch.

We only publish reviews from real learners, with their permission.

★★★★★

[Learner review — name, course, city]

★★★★★

[Learner review — name, course, city]

★★★★★

[Learner project link + quote]

Fees & formats

Compare every
program.

ProgramDurationCodingYou buildEarly-bird feeLink
AI Masterclass3 hoursNoneA small app from a prompt₹99Reserve →
Claude Crash Course2 weeksNoneprompt library, automation, demo app₹2,999Details →
Python for AI1 monthFrom zerodata analysis assignment₹4,999Details →
Generative AI2 weeksNonewebsite, chatbot, video, song₹3,999Details →
Agentic AI Program3 monthsTaught5+ projects, deployed agent₹29,999 (EMI)Details →
AI Digital MarketingShortNonelive Meta ad campaignSoonDetails →
Who it's for

Students, professionals
and colleges.

PUC & college students

Get ahead before placements. Weekend batches that fit around classes.

Start with Claude →

Working professionals

Save hours at work, or switch into an AI role with the 3-month program.

See Agentic AI →

Colleges & teams

Custom masterclasses and batches for your campus or company.

Talk to us →
Fit check

Decide before
you enrol.

Join if you

  • ✓Are ready to learn Python from zero in Month 1
  • ✓Want to build and ship, not just learn the vocabulary
  • ✓Can give 4–6 focused hours a week for 3 months (12 weeks)
  • ✓Care about testing, safety and cost, not only a demo

Skip this if you

  • ×Want a no-code tour of AI productivity tools
  • ×Need research-level deep-learning maths
  • ×Need a job guarantee. We don't offer one.
  • ×Can't set up a local Python environment and an API account
Pricing

Every program.
Clear fees.

Bright workspace with laptops
Early-bird fees · next batch [DATE]

From ₹99

EMI on the Agentic AI Program · weekday & weekend batches

Reserve your seat.

Pick a program — we send the syllabus, batch dates and joining link.

FAQ

Straight
answers.

Which program should I start with?

Start with the masterclass. New to AI: Claude Crash Course or Generative AI. Want a tech career: Python for AI, then the Agentic AI Program.

Do I need to know Python already?

No. The Agentic AI Program teaches Python from zero in Weeks 1–2. If you want more practice first, take the 1-month Python for AI course.

How long are the programs?

Masterclass 3 hours, Claude 2 weeks, Python for AI 1 month, Generative AI 2 weeks, Agentic AI 3 months. Weekday and weekend batches.

Is it live or pre-recorded?

The proposed format is short recorded concept lessons plus a weekly live lab, workshop or Q&A, and a capstone demo session. The final delivery policy is still being approved.

Which tools and models will I use?

Python, VS Code, Git, Jupyter, FastAPI, one hosted LLM API with an open-model comparison, a vector index and Docker. Core skills stay independent of any one model provider.

Do I need to pay for API access?

You may need an account with a model provider. Whether API credits are included will be stated here before enrolment opens.

What certificate do I get?

A course-completion certificate from Agentshala once you meet the pass criteria. It isn't a university qualification or vendor certification.

Do you guarantee a job or salary?

No. You finish with a reviewed, deployed project, an evaluation report and a README you can show and explain.

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