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Agentic AI Engineering
Tool use, orchestration, memory and production patterns for autonomous, tool-using agents.
Duration
2 weeks
Format
Live online
Commitment
10–12 hrs/week
Level
Advanced
Next cohort
Starts soon
What you'll learn
Outcomes
Design agent architectures
Plan multi-step, tool-using agents with the right control flow, memory and guardrails.
Orchestrate with modern frameworks
Build with LangGraph-style orchestration, function/tool calling and structured outputs.
Ground & evaluate
Add retrieval, reduce hallucination, and measure agent quality with real evaluation harnesses.
Ship to production
Deploy, monitor, control cost and apply governance to agents running in the real world.
Curriculum
Week-by-week syllabus
- Day 1 — From prompts to agents: mental models & when to use them
- Day 2 — Tool/function calling & structured outputs
- Day 3 — Memory, state & multi-step control flow
- Day 4 — Retrieval & grounding to reduce hallucination
- Day 5 — Lab: build your first domain-specific single agent
- Day 6 — Multi-agent orchestration & graph-based workflows
- Day 7 — Guardrails, safety & human-in-the-loop
- Day 8 — Evaluation harnesses & measuring agent quality
- Day 9 — Deployment, monitoring & cost control
- Day 10 — Capstone: ship & present your production agent
Prerequisites
- Comfortable with Python basics
- Have used an LLM API or chat tool before
- No prior agent experience required
Choose your domain
Projects and datasets adapt to where you work:
FinanceHealthcareRetailGovernmentManufacturingGeneral
ML
Lead instructor
A practitioner who ships agents in production
Your cohort is led by a senior AI solution architect with real-world experience building multi-tenant AI platforms and autonomous systems — every project is reviewed personally.
Ready to build production AI skills?
Join the next 2-week cohort, or bring this program in-house for your team.