Manual work is hard to see
Map repetitive steps and handoffs before deciding what AI or Python should automate.
Course 04 · 5 days
AI Automation Engineer
Turn repeatable work into reliable AI-enabled automation with Python, enterprise knowledge, agentic workflows, and production controls.
1 · Learner problem
Automation ideas fail when the workflow is never mapped.
Teams need more than a script or a prompt. They need inputs, business rules, knowledge, approvals, failure handling, and an owner who can improve the automation.
Automation lacks trusted knowledge
Connect enterprise content and business rules without hiding source or uncertainty.
Failure paths are unclear
Make permissions, approvals, exceptions, and human escalation part of the workflow.
A production automation plan
Build a bounded automation and document how the team should run, review, and extend it.
2 · Course outcome
Leave able to move from repetitive process to responsible automation.
Python automation foundations
Break a workflow into inputs, transformations, outputs, and review checkpoints.
LLM-powered automation
Use language models where interpretation, drafting, classification, or extraction adds value.
Knowledge and agents
Use enterprise knowledge and bounded agentic steps without over-automating decisions.
Production automation
Review testing, logging, security, resilience, and an improvement plan.
For people who improve workflows with code or tools.
- AI automation and workflow engineers
- Python developers and operations analysts
- Process owners designing repeatable automation
- Entrepreneurs building internal or customer workflows
Bring a process with a clear owner.
Basic Python familiarity is helpful. The focus is on practical workflow engineering, not unattended automation without review.
4 · Curriculum
Five modules from Python foundations to production automation.
- Python Automation EngineeringStructure scripts, data movement, APIs, and repeatable workflow steps.
- LLM-Powered AutomationUse models for extraction, transformation, classification, drafting, and controlled decisions.
- RAG and Enterprise Knowledge AutomationGround automation in trusted documents and business context.
- Agentic AI & AI Workflow EngineeringDesign tools, agents, approvals, exceptions, and human handoffs.
- Production AI Automation EngineerReview quality, observability, security, resilience, and the operating model.
5 · Live project
Build a production-minded AI workflow automation.
Choose a document, research, support, reporting, or operations process that can be bounded and demonstrated.
Workflow and data path
Document triggers, inputs, rules, outputs, permissions, and human decisions.
AI-enabled steps
Build the useful Python, LLM, RAG, or agentic parts of the process.
Production review
Show failure handling, quality checks, logging, and the next deployment milestone.
6 · Trainer credentials
View trainer profileWorkflow automation taught with ownership attached.
MHGrad’s practice covers operations automation, agents, RAG, software delivery, HR knowledge, and support workflows. Verified trainer credentials and references are available during enrolment conversations.
Five-day live intensive
- Daily guided instruction and build time
- Workflow mapping and automation review
- Production considerations and final demonstration
- Exact dates, timezone, and delivery format confirmed before enrolment
8–10 · Fees and enrolment
Current fee shared on consultation.
Ask about the next intensive, availability, payment steps, or private team delivery. Refund terms are published before payment.
Enquire for current fee
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FAQ and refund terms
Before you enrol.
Do I need to be a Python developer?
Python familiarity helps, but the course begins with automation engineering patterns and can use a guided project brief.
Can we automate a confidential workflow?
Discuss data boundaries before enrolment. Use only information and systems you are authorised to share.
Can a team take this privately?
Yes. Ask about delivery adapted to your process, tools, approvals, and operating constraints.
What is the refund policy?
Eligibility, cut-off dates, transfers, and cancellations are stated in the refund policy and enrolment confirmation.
Turn one repetitive process into a better operating system.
Ask for dates, fee, prerequisites, or a team-training conversation.