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The Builder—Level 1

An AI course for beginners who build — not just watch.

Eight weeks from now, you've shipped your first AI product. Live online classes every weekend, taught in English with Urdu explanation — no prior coding experience required.

Not a tutorial you watched. Not a course you bookmarked and never finished. A working AI chatbot, deployed on the internet, with your name on it — and the Python skills to build the next ten. That's what Foundations is for: the moment AI stops happening to you and becomes something you make.

Become a Builder

PKR 40,000·Pakistan|$65 / £50·International

PCAFD

The Builder—Level 1

Panabotics Institute of Artificial IntelligencePIAI
PCAFDCertified
On completion, certified asPanabotics Certified AI Foundations DeveloperAwarded only for finishing the capstone and certificate assessment — not for watching videos.
Official Credential · Panabotics
Level
Beginner · No experience needed
Duration
8 weeks · 48 live hours
Format
Live online classes
Schedule
Saturday & Sunday, 12:00–15:00 PKT
Language
Taught in English with Urdu explanation
Coursework
40+ video lessons · 6 hands-on projects
Fee
PKR 40,000 · installments available
Certificate
PCAFD — on assessment
Who you become

The Builder, defined

Foundations turns you into a builder — someone who can open a terminal, write Python that talks to GPT-class models, and turn an idea into a working tool in a weekend. You will understand what AI actually is beneath the hype, speak the language of tokens and prompts fluently, and have deployed projects to prove it. This is the identity every level above is built on.

AI is something you read headlines aboutAI is something you build with, every day
Never written a line of codeWriting Python that calls OpenAI, Anthropic & Gemini APIs
“I have an idea for an AI tool…”A deployed AI chatbot with a public URL in your portfolio
Prompting by trial and errorEngineering prompts with intent — and knowing why they work
The Path

How the 8 weeks unfold

Transform someone with zero technical knowledge into someone who can think logically, write Python programs, use Git, consume APIs, understand AI fundamentals, and build simple AI applications.

01
AI Fundamentals

Becoming an AI Engineer

What is Software Engineering (in the AI era)What is Artificial IntelligenceAI vs Machine Learning vs Deep LearningGenerative AIAgentic AIAI-Assisted Engineer vs AI-Native EngineerAI Industry LandscapeAI Career PathsEngineering Mindset for the AI Era
AssignmentMap 15 real SaaS / business products that use AI (e.g. support desks, booking tools, CRM copilots) — for each, name the customer problem, the AI feature, and whether it sits at Model, Application, or Infrastructure layer.
Mini ProjectPick one local business or SaaS idea and write a one-page product brief: problem, target user, must-have AI feature, and the skills you will need to ship an MVP.
Critical Thinking
  • Which jobs will AI replace? Which will it create?
  • Which of your own skills are AI-resistant vs AI-replaceable?
Case Study
OpenAI, Anthropic, Perplexity — compare positioning: foundation model vs application layer vs search-native AI
02
Software Engineering

Developer Environment

VS Code + AI Coding Assistants (Claude Code / Copilot / Cursor)Terminal & Command LineGit & GitHubVirtual Environmentspip & Package ManagementDebugging — manual and AI-assisted
AssignmentCreate a GitHub repo for a real product idea (e.g. clinic booking assistant, store FAQ bot, freelancers CRM) with branches, a clear README, and .gitignore for Python.
Mini ProjectScaffold the empty product repo on GitHub, set up a virtual environment, and use an AI coding assistant for at least one commit — document what it changed and why.
03
Computational Thinking

Programming Fundamentals & LogicPython

Programming Fundamentals in PythonVariables & Data TypesControl Flow: Loops & ConditionsFunctionsError HandlingProblem Decomposition (Computational Thinking)Reading & Debugging AI-Generated CodeObject-Oriented ProgrammingClasses & ObjectsFile HandlingWorking with JSON & CSV as data formatsRefactoring procedural code into OOP
AssignmentBuild a CLI order / lead tracker for a small business: add, update, search, and export records — first with functions, then refactor the same app into classes that persist to JSON/CSV.
Mini ProjectCustomer Inbox Manager — store customers and support tickets as objects, save to JSON, filter by status, and generate a simple daily summary report a shop or SaaS founder could actually use.
Critical Thinking
  • How does a computer "think" differently from how an LLM "thinks"?
Case Study
How does WhatsApp store and structure chat data? (objects, JSON, local vs cloud storage)
04
Software Engineering

FastAPI FrameworkPython

What is FastAPI and why backends use itCreating your first FastAPI appPath parameters & query parametersRequest bodies with Pydantic modelsJSON responses & status codesCRUD endpoints for a simple resourceAuto docs — Swagger UI & OpenAPICORS basics for frontend / SaaS clientsEnvironment variables & API configurationRunning & testing endpoints locally
AssignmentDesign and document a REST API for a real product resource (bookings, products, tickets, or leads) — every endpoint listed with method, path, request body, and response shape.
Mini ProjectShip a FastAPI backend for a mini SaaS — e.g. appointment booking, product catalog, or support ticket API — with create/list/get/update endpoints and working Swagger docs.
05
Software Engineering

Internet Fundamentals

Client-Server ArchitectureHTTP & Status CodesREST APIsJSON as a data-exchange formatAuthentication & API KeysRate Limits (including AI API rate limits)
AssignmentIntegrate 5 public APIs into one business workflow script (e.g. currency, maps, email validation, SMS, or CRM webhook-style calls) — return clean, parsed outputs ready for a product feature.
Mini ProjectStore Operations Dashboard — pull live data from at least one external API (weather for delivery slots, FX rates, or shipping status) and present it as a decision helper for a real shop or SaaS ops flow.
06
AI Fundamentals

Introduction to AI

Machine Learning — supervised, unsupervised & reinforcement (overview)Deep Learning — neural nets, layers, training vs inferenceFeatures, labels, datasets & train/test splitsOverfitting, underfitting & evaluation basicsCommon model families (classification, regression, clustering)Computer Vision & NLP at a conceptual levelFrom classical ML/DL to foundation models — how the stack evolvedData literacy skills — cleaning, labeling, bias awarenessReading model cards & choosing the right approach for a business problemWhen to use ML/DL vs rules vs calling an LLM API
AssignmentFor a real business problem (churn risk, lead scoring, demand forecast, spam filtering, or image tagging), write a short ML/DL plan: data needed, label definition, model type, success metric, and risks.
Mini ProjectBusiness Insight Notebook — take a small CSV (sales, leads, or support tickets), explore it in Python, and produce a simple prediction or segmentation a founder could act on — with a plain-English explanation of the ML approach used.
Critical Thinking
  • When is a simple rules engine better than machine learning for a SaaS feature?
07
AI Fundamentals

GenAI & Agents

Tokens & TokenizationLLMs — how they generate textPrompt Engineering (as specification, not fixed templates)Context WindowEmbeddingsVector Databases — concept + basic usageTemperature & SamplingHallucination & ReliabilityFunction Calling / Tool UseRetrieval-Augmented Generation (RAG) — basicsAI Agents — basics (build a minimal 2-tool agent)
AssignmentCall an LLM API directly (no framework) and build a prompt-response loop tailored to one SaaS use case — support reply drafts, product FAQ answers, or lead qualification.
Mini ProjectAI Business Copilot — e.g. support ticket summarizer, FAQ assistant over your own docs (basic RAG), or a 2-tool agent that looks up product data and drafts a customer reply — something a real team could trial.
Critical Thinking
  • What's the difference between a chatbot, an AI assistant, and an AI agent?
08
Software Engineering

Software Development Lifecycle

Capstone
Problem Identification — finding a real problem worth solvingBusiness Understanding — who has this problem, and why it matters to themRequirement Gathering — turning a vague idea into concrete, buildable requirementsBrainstorming Solutions — evaluating multiple approaches before committing to oneIdea & Spec DefinitionAI-Assisted Scaffolding (prompt-to-code / rapid prototyping)Human Review & RefinementTestingDeployment (e.g. Vercel or Render)Iteration Loops (post-launch)
Case Study
Build an AI Startup from Scratch — map problem → business case → requirements → spec → build → deploy in under a week
Final Capstone

Identify a real problem, understand the business need behind it, gather requirements, then scope, build, and ship one complete AI product end to end — a chatbot, FAQ assistant, or AI-powered tool — deployed, documented, and defended for certification.

After Graduation

What you can build & do

Walk out of Foundations and these are no longer ideas — they are weekend projects:

AI chatbots
FAQ assistants
Text summarisers
AI CLI tools
Simple AI APIs
Portfolio projects
The Credential

Proof that means something

PCAFD
Panabotics Institute of Artificial IntelligencePIAI
PCAFDCertified
This certifies the holder asPanabotics Certified AI Foundations DeveloperAwarded on completion of the capstone and certificate assessment — not for watching videos.
Official Credential · Panabotics

Prerequisites

None. A laptop and willingness to learn is everything you need.

Your investment

PKR 40,000Pakistan
$65USD
£50GBP

One payment · 8 weeks · 40+ video lessons · 6 hands-on projects

How admission works

Four-step selection process

Every PIAI seat is reviewed. Submit once — we guide you from application to selection.

  1. 01

    Submit Application

    Share your details, LinkedIn, and CV for the program you want to join.

  2. 02

    Review Application

    Our PIAI team reviews fit, readiness, and prerequisites for your chosen track.

  3. 03

    Interview

    A short conversation to confirm goals, commitment, and whether this is the right level.

  4. 04

    Selection

    Accepted applicants receive an offer with next steps to enroll and start.

Before you apply

Questions people actually ask

Fees, schedule, language, prerequisites, and what the credential is worth — answered plainly, including the answers that might talk you out of applying.

Yes. Foundations assumes no programming background at all — Module 3 starts from variables, loops and functions in Python. The only requirements are a laptop and the commitment to attend the weekend classes. There is no entry test, no degree requirement, and no maths prerequisite.

The fee is PKR 40,000 for students in Pakistan, or $65 / £50 internationally. That covers all 8 weeks, 40+ video lessons, 6 hands-on projects, live weekend instruction, and the certificate assessment. Installment options are available — ask about them during your application. Fees are non-refundable once enrollment is confirmed.

All classes are live online, so you can join from Lahore, Karachi, Islamabad, or anywhere with a stable internet connection. Panabotics is based at Arfa Software Technology Park in Lahore, but this program has no on-campus requirement and no relocation is needed.

Live classes run every Saturday and Sunday from 12:00pm to 3:00pm Pakistan Standard Time — 6 hours of live instruction per week and 48 hours across the 8-week program. The weekend schedule exists so working professionals and university students can attend without missing office or lectures.

Classes are taught in English with Urdu explanation. You learn the industry vocabulary you will actually meet in documentation, GitHub issues, and job interviews, while difficult concepts get explained in the language you think in. All written material, code, and assignments are in English.

Yes — you earn the Panabotics Certified AI Foundations Developer (PCAFD) credential. It is awarded on assessment rather than attendance: you must complete the final capstone, ship a working AI product, and defend it. Watching the lessons alone does not earn the certificate.

You will have deployed a working AI product with a public URL — typically an AI chatbot, an FAQ assistant, or an AI-powered internal tool. You will be able to write Python, call the OpenAI, Anthropic and Gemini APIs, build FastAPI backends, and ship text summarisers, AI CLI tools and simple AI APIs on your own.

Neither is required. Python is taught from scratch inside the course, and Foundations covers AI concepts — tokens, embeddings, prompting, retrieval — at a practical engineering level rather than through the underlying mathematics. You do not need calculus or linear algebra to complete this level.

Free courses teach concepts, but very few people finish them and almost nothing gets shipped. Foundations is built around assessed output: 6 hands-on projects, a deployed capstone, instructors who review your actual code, and a credential you only receive if the work is real. The curriculum comes from Panabotics client projects, not a generic syllabus.

No. Foundations is a paid, instructor-led program with reviewed applications and limited seats, so there is no free tier or trial class. If you want to explore AI at no cost first, the Panabotics Insights & Innovations articles are free to read and cover many of the same concepts at an introductory level.

No. Fees are non-refundable once enrollment is confirmed, because every accepted applicant takes a reviewed seat in a small cohort. That is precisely why admission includes an interview — we would rather place you honestly, or tell you this is not your level, than take a fee you will regret.

Level 2 — Panabotics Certified AI Developer (PCAD) — takes you from simple AI tools to production systems: RAG pipelines, vector databases, tool-using agents, and real business integrations. Foundations is the prerequisite for it, and most graduates move up once shipping simple AI applications feels routine.

Apply now

Start your application

Tell us who you are and why you want Panabotics Certified AI Foundations Developer. We review every application personally before inviting you to the next step.

  • Reviewed by the PIAI admissions team
  • Shortlisted applicants are invited to interview
  • Clear next steps by email after we review

Applying for: Panabotics Certified AI Foundations Developer

Where this leadsLevel 2 — AI DeveloperWhen shipping simple AI tools feels easy, you're ready to build systems people rely on.

The only difference between you and the Builder is the decision to start

8 weeks. 6 hands-on projects. One credential — PCAFD. Talk to us and we'll help you decide if this is your level.

Become a BuilderCompare All Levels