Free / Professional Core

Applied AI Builder

Build, ground, evaluate, secure, and ship reliable AI workflows with APIs, data, retrieval, and tools.

Free16 hours incl. practice18 lessons6 modulesAll lessons published — certificate review after completion

Publication status

Every declared lesson is published

All 18 lesson pages are available now. Progress is stored in this browser, and the manual certificate-review action appears only after every lesson is complete.

Fit and plan

Know what this course expects

Who it is for

Developers and technical learners who want to build, test, and review practical AI or automation systems.

Before you start

Comfort reading basic code and using a terminal. Check the listed tools before starting; no specific paid subscription is assumed.

Study plan

Suggested pace: about 4 weeks. The listed hours include reading, hands-on practice, capstone work, and review—not lesson text alone. Use three short sessions each week: learn, apply, then review.

Pakistan context

Projects emphasise low-cost tooling, careful data handling, and workflows that remain practical with local power and connectivity constraints.

Assessment approach

Practical assessment: complete the lesson exercises and the listed capstone, then review the work for accuracy, safety, and fit. Completion is not an income or job guarantee.

After this course

What you'll be able to do

  • Read and debug basic CLI, Git, JSON, HTTP, and API workflows
  • Build structured outputs and tool contracts that fail visibly instead of silently
  • Create evidence-backed data and multimodal analysis with source boundaries
  • Build and test a cited knowledge assistant with retrieval and abstention rules
  • Ship a small AI workflow with logs, evals, permissions, cost notes, and a portfolio case study

Capstone project

A deployed AI workflow plus an evidence pack: README, source map, test set, eval results, threat model, cost log, demo, and honest case study.

Completion rubric

  • Names the user, problem, scope, and acceptance test
  • Identifies sources, permissions, and unknowns
  • Includes the actual deliverable—not only screenshots
  • Tests at least one normal and one failure case
  • Records risks, limitations, cost, and human review
  • Explains what changed, what worked, and what comes next

Curriculum

Course outline

Your progress0%

Module 1

Technical Foundations

Read the systems underneath the chat box.

Not completed: 1.1 · Technical Foundations: CLI, Git, JSON, and HTTP40 minNot completed: 1.2 · API Keys, Secrets, Rate Limits, and Cost Controls40 minNot completed: 1.3 · Lab: Send, Inspect, and Log Your First Model Request45 min

Module 2

Structured Outputs and Tools

Turn model text into dependable application behaviour.

Not completed: 2.1 · Structured Outputs With JSON Schema40 minNot completed: 2.2 · Function Calling and Tool Contracts45 minNot completed: 2.3 · Build a Reliable Multi-Step Workflow45 min

Module 3

Data and Multimodal Work

Use documents, tables, images, and audio without losing the evidence.

Not completed: 3.1 · Clean Spreadsheet and Tabular Data Before AI Analysis40 minNot completed: 3.2 · Work With PDFs, Images, and Audio Responsibly40 minNot completed: 3.3 · Lab: Produce an Evidence-Backed Decision Memo45 min

Module 4

Grounded Knowledge Systems

Build answers that point back to approved sources.

Not completed: 4.1 · RAG, Embeddings, Chunking, and Retrieval in Plain English40 minNot completed: 4.2 · Build a Cited Assistant That Can Abstain45 minNot completed: 4.3 · Test Retrieval Quality, Permissions, and Freshness45 min

Module 5

Agents and Reliability

Add tools and autonomy only where the controls are clear.

Not completed: 5.1 · Agents vs. Scripts: Choose the Simplest Reliable System40 minNot completed: 5.2 · State, Retries, Idempotency, and Human Approval45 minNot completed: 5.3 · Evals, Red Teams, Observability, and Cost Reviews45 min

Module 6

Ship the Professional Capstone

Turn a working prototype into reviewable portfolio proof.

Not completed: 6.1 · Deploy, Log, Monitor, and Maintain an AI Workflow45 minNot completed: 6.2 · Privacy, Security, Consent, and Your Threat Model45 minNot completed: 6.3 · Capstone: Ship an AI Workflow and Its Evidence Pack45 min

Tools you'll use

Model APIsJSON SchemaGitJavaScript or Python

Focus areas

  • APIs and structured outputs
  • Data, multimodal work, and retrieval
  • Agents, evals, security, and deployment

Start now

This course is completely free. Open the first lesson below and start building.

Start Lesson 1.1