Automation / Specialist
Workflow Automation & AI Agents
Design and test one limited workflow that connects approved tools and keeps important actions under human control.
Is this course right for you?
- Who it’s for
- Technical learners, developers, and team members with suitable workflow and integration experience.
- Before you join
- C02-level AI literacy, spreadsheet/data basics, JSON familiarity, API concepts, and basic programming or proven equivalent low-code experience. A learner who lacks these should not be enrolled directly.
- Device and access
- Computer required; a preconfigured, permitted practice environment and model/tool access must be available.
60 hours of total planned effort. 36 guided hours across 18 two-hour sessions, plus an estimated 24 hours of your own practice. 6 weeks assumes three sessions per week, excluding breaks and schedule gaps. Actual cohort dates are not announced.
What you will learn
6 modules · 36 guided hoursWorkflow design and scope4 hours
Inputs, outputs, triggers, states, responsibilities, and deciding when an agent is unnecessary. Map a small workflow.
Data, tools, and API connections6 hours
JSON, schemas, authentication concepts, test endpoints, credential handling, and minimum permissions.
Deterministic automation6 hours
Create a repeatable non-AI flow, validate inputs, handle missing records, and inspect outputs.
AI-assisted steps and retrieval6 hours
Add one model-assisted step or approved knowledge source; explain uncertainty, references, and limits.
Control and failure handling6 hours
Human approvals, time/step limits, retries, cost checks, logs, untrusted content, and safe stopping behavior.
Final workflow and review8 hours
Build a small workflow with sample data, test failure cases, and demonstrate an approval checkpoint before any consequential action.
Your own practice
Data/API exercises (6), workflow building (8), failure tests (6), documentation and review (4).
24 estimated hours, in addition to guided sessions.
PUT YOUR LEARNING INTO PRACTICE
Your final work
A fictional enquiry-to-draft or document-to-summary workflow, with limited permissions and a review step. A draft need not be sent to a real recipient.
How to show your understanding
- The workflow is reproducible, access is bounded, errors are visible, costs are considered, and the learner explains why each tool is needed.
What this course does not promise
Not production AI engineering, secure enterprise architecture, autonomous business operation, model training, or an unlimited-usage service. Instructor skill and sandbox safety are prerequisites to offering this course.
Fees and what to confirm
We have not published a price or discount for this programme. Confirm the fee in INR, applicable taxes, payment terms, any genuine offer conditions, and cancellation or refund rules before enrolling.
Learning approach
The outline includes guided explanation, practical tasks, and a final review within the stated guided hours. Independent practice is additional estimated time. Confirm the actual notes, resources, review arrangements, and support scope for your programme.
Access and other costs
Devices, internet access, paid software, AI subscriptions, model/API credits, domains, hosting, and third-party exam fees are not automatically included. Specialist courses need suitable tool and practice-environment access agreed before they begin.
No job, salary, placement, vendor certification, or externally recognized qualification is guaranteed. Any DAI Skills completion document and its requirements must be confirmed separately.
Compare before you choose.
Review the course scope and the skills you already have.