AI & Architecture💻 Technical CourseLearnAspire Certified
Build Reliable AI Agents
“You will have a running agent in thirty-five minutes. Then you will break it on purpose.”
Six modules, one agent that grows through all of them, and every failure reproduced on your own machine.
Intermediate3h 25m6 modules18 exercises24 quiz Qs🎬 1 module video✓ Verified Sept 2026
7-day money-back guarantee
- ✓6 modules of content
- ✓18 practical exercises
- ✓24 quiz questions
- ✓1 module intro video
- ✓Capstone project
- ✓LearnAspire certificate
Learning Outcomes
What you'll learn
→Prove every sentence an agent produced can be traced to a line in a source document.
→Give an agent tools, and know within one run whether it actually called them.
→Put a stop rule and a step budget on a loop so a runaway costs a bounded amount.
→Resume a crashed run from its last good step instead of paying to redo it.
→Make an agent refuse, name what it could not establish, and say who has it.
→Show a stakeholder a passing eval run and a cost, rather than a demo.
The day after you finish
The day after this course you can point an agent at three documents from your own work and get back a brief where every claim quotes a line you can find in the file it names - and when it goes wrong, the run tells you which link in the chain gave way.
Who this is for
- Engineers
- architects and technical leads who have used an LLM API and now have to make something dependable enough to put in front of other people.
Prerequisites
- Python 3.9 or newer. Nothing else - the course installs no packages.
- You have called an LLM API at least once, or watched someone do it.
Curriculum
6 modules · full breakdown
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Capstone Project