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AI Automation
AI Automation
Design intelligent workflows and agentic systems that run reliably inside real operations.
Level
Intermediate
Duration
6 weeks
Lessons
22
Price
Price on request
What you'll learn
- Map a process and identify what should be automated and what must not be.
- Design tool schemas, planning loops and state handling for multi-step tasks.
- Add guardrails, retries, fallbacks and human-in-the-loop checkpoints.
- Monitor reliability and cost once the workflow is live.
Course curriculum
01 — Process mapping
- Decision points
- Exception paths
- Automation boundaries
02 — Agentic systems
- Tool calling and schemas
- Planning and execution loops
- Memory and state
03 — Reliability engineering
- Guardrails
- Retries and fallbacks
- Human checkpoints
04 — Operations
- Observability
- Cost control
- Continuous evaluation
Practical application
- · Automate one real recurring workflow end to end and measure time saved.
- · Design an escalation path for every failure mode you identify.
Practical project: A working automated workflow with guardrails and human checkpoints
Who is this for?
- · Operations and process owners
- · Technical and semi-technical roles
- · Consultants and internal AI leads
Requirements
- · Comfort with workflow tools
- · Basic data literacy
Meet your instructor
AI Agents & Automation
Instructor to be announced
Tool calling, planning loops, state handling, guardrails and human-in-the-loop checkpoints.
The verified name, biography, professional experience and public profile for this chair are published once confirmed. INTELLCOREAI does not present unverified profiles as faculty.
Student reviews
Reviews are published from verified students only, after the first cohort completes the program. We do not publish testimonials we cannot attribute.
