Artificial Intelligence

Applied AI for Your Field

No coding. Your profession, your documents, your workflow.

Advanced 60 hours Specialization₹4,999

About this course

For every degree that is not engineering — BBA, B.Com, MBA, Law, Pharmacy, Journalism, Education, Hospitality, Design, Science, Humanities. No coding at any point. In 60 self-paced hours you build a grounded assistant over your own professional documents, verify what it produces, and document a measured before-and-after — with Weave adapting every brief to your field. Fully AI-assessed: there are no live human sessions at this tier.

What you'll learn

  • Build reusable prompt systems for recurring work, with verification built in
  • Run research and analysis workflows that survive scrutiny, with every claim traced
  • Build a grounded knowledge assistant over your own documents that cites and refuses
  • Audit an AI workflow for hallucination, bias, and privacy risk

Course content

60 hours · 71 lessons · 32 videos · 10 guided project activities · 9 quizzes · 10 projects

AI Foundations and Responsible Use in Your Field6 lessons
What these systems actually do10 min
Where AI helps and where it must not decide11 min
Break the model using your own field60 min
Privacy audit of your daily work60 min
Charter and domain risk register60 min
Foundations check34 min
Prompt Systems for Professional Work7 lessons
From one prompt to a reusable system11 min
Getting output in a shape you can use11 min
Building verification into the prompt10 min
Build a five-prompt pack90 min
Adversarial pass on your own pack90 min
Mini-build 1: professional prompt system120 min
Prompt systems check20 min
AI Research, Search and Verification8 lessons
How AI search tools find things12 min
Spotting fabricated citations in seconds12 min
Building a verification chain10 min
Synthesis without distortion10 min
Run a real research question80 min
Source-conflict lab80 min
Mini-build 2: cited research brief and verification log188 min
Research and verification check20 min
Data Literacy and AI-Assisted Analysis8 lessons
Reading data honestly11 min
Letting AI analyse without inventing numbers12 min
Charts that inform and charts that mislead10 min
From analysis to a one-page insight memo9 min
Analyse a real dataset from your field80 min
Catch the lie80 min
Mini-build 3: analysis, chart and insight memo188 min
Data literacy check20 min
No-Code Automation and Human-in-the-Loop7 lessons
Map the workflow before automating it11 min
Triggers, steps, and approvals11 min
Designing the human checkpoint10 min
Map one real workflow end to end80 min
Feed it bad input deliberately70 min
Live automated workflow150 min
Automation check20 min
Grounded Knowledge Assistants9 lessons
Why a general chatbot cannot answer about your organisation14 min
Preparing a document set14 min
Citations and refusal12 min
Testing before anyone relies on it11 min
Build an assistant over your own documents80 min
Force a refusal80 min
Redaction pass70 min
Major project: grounded domain assistant170 min
Knowledge assistants check20 min
Agents and Multi-Step Professional Workflows7 lessons
What an agent is, without the hype11 min
Escalation design12 min
Supervising work you did not do yourself10 min
Decompose a multi-day professional task80 min
Build it and trigger the escalation70 min
Multi-step agent workflow150 min
Agents check20 min
Generative and Multimodal for Professional Output7 lessons
What is usable professionally and what is not13 min
Document and image understanding12 min
Disclosure, rights, and likeness10 min
Extract structured data from real documents70 min
Produce one professional multimodal artefact70 min
Multimodal artefact for a real audience100 min
Multimodal check20 min
Evaluation, Risk and Governance7 lessons
Writing a quality rubric someone else could apply14 min
Hallucination and bias audits12 min
Privacy, consent, and record-keeping12 min
Apply your rubric to 20 outputs80 min
Run the bias and hallucination audit80 min
Quality rubric and audit report136 min
Governance check20 min
Workflow Redesign and Capstone5 lessons
Redesigning around AI, not bolting AI on14 min
Making the case: cost, time, quality, risk12 min
Presenting AI work to people who did not build it10 min
Measure the before and after honestly70 min
Capstone: build, validate and present188 min