Free course · Intermediate
Applied AI Builder
Build and test local AI workflow components with supplied data, tool contracts and evidence checks, then prepare a prototype for review.
Comfort reading basic code and using a terminal. Check the course-specific tool access and setup below.
Tum saath le jaoge
A tested local cited-answer prototype with eight checks, a README and an evidence pack. Live API calls and hosted deployment are optional follow-on work.
Read and debug basic CLI, Git, JSON, HTTP, and API workflows
Build structured outputs and tool contracts that fail visibly instead of silently
Clean supplied data, trace extracted claims and write a decision memo with checked calculations
Build a local cited-answer gate that handles missing, private and conflicting evidence
Test local approval, logging and evaluation controls, then identify what a hosted release still needs
Syllabus
18 lessons, in orderModule 1
Technical Foundations
1.1 Technical Foundations: CLI, Git, JSON, and HTTP40m →1.2 API Keys, Secrets, Rate Limits, and Cost Controls40m →1.3 Lab: Send, Inspect, and Log Your First Model Request45m →Module 2
Structured Outputs and Tools
2.1 Structured Outputs With JSON Schema55m →2.2 Function Calling and Tool Contracts45m →2.3 Build a Reliable Multi-Step Workflow45m →Module 3
Data and Multimodal Work
3.1 Clean Spreadsheet and Tabular Data Before AI Analysis40m →3.2 Work With PDFs, Images, and Audio Responsibly40m →3.3 Lab: Produce an Evidence-Backed Decision Memo45m →Module 4
Grounded Knowledge Systems
4.1 RAG, Embeddings, Chunking, and Retrieval in Plain English55m →4.2 Build a Cited Assistant That Can Abstain45m →4.3 Test Retrieval Quality, Permissions, and Freshness45m →Module 5
Agents and Reliability
5.1 Agents vs. Scripts: Choose the Simplest Reliable System40m →5.2 State, Retries, Idempotency, and Human Approval45m →5.3 Evals, Red Teams, Observability, and Cost Reviews45m →Module 6
Prepare the Capstone for Review
6.1 Prepare Deployment, Logging, and Monitoring for an AI Workflow45m →6.2 Privacy, Security, Consent, and Your Threat Model45m →6.3 Capstone: Test a Local Workflow and Prepare Its Evidence Pack60m →Completion certificate
Mark every lesson complete and save your progress to your account. Generate a certificate with a unique verification ID. It records learner-reported completion, not a graded exam or reviewed project.
Your certificates →Tools & preparation
Model APIs · JSON Schema · Git · JavaScript or Python
Comfort reading basic code and using a terminal. Check the course-specific tool access and setup below.
Third-party tools may have separate charges or limits. Check before paying.