You already use AI to speed up drafts and summaries. Now imagine having an AI teammate that doesn't just generate quick drafts, but consistently delivers accurate, repeatable, and trustworthy work using structured briefs, reusable prompt systems, built-in quality checks, and human oversight.
Agentic AI in Practice is that next step: Built for anyone ready to put AI agents to work and move from helpful drafts to service-quality, workplace-ready delivery. Building on the foundations of the AI Starter Kit, this program is structured around how AI actually gets used on the job: turning a rough brief into a polished deliverable, building reusable prompt systems instead of one-off prompts, running quality checks before anything goes out the door, automating repetitive workflows, and designing safe, human-in-the-loop workflows, including AI agents, that fit naturally into your own tools and ways of working.
Developed by the American University of Beirut, this 6-week hands-on program equips you with practical skills to:
No prerequisites are required.
A basic familiarity with using a chat-based AI assistant and writing simple prompts with context and goals is recommended. If you're completely new to AI, our AI Starter Kit is a great place to start.
Want to put AI agents to work on real, repeatable tasks without needing a coding background.
Looking to build practical agentic AI skills that translate directly into everyday workplace delivery.
Needs accurate, repeatable AI-powered workflows with human-in-the-loop checks before work goes out the door.
Learn to structure briefs, goals, and constraints so AI agents deliver consistent, workplace-ready results.
Build reusable prompt systems instead of one-off prompts for recurring tasks.
Check AI-generated work for accuracy, completeness, and quality before it's sent.
Analyze documents faster by extracting key information and comparing versions with AI assistance.
Create AI-powered workflows that automate routine work while keeping humans in the loop.
Design and oversee automated workflows using plain language goals, approvals, and escalation rules.
PhD in ECE
Lecturer and AI Consultant with extensive experience across academia and industry in the fields of machine learning, MLOps, explainable AI, and edge AI. His work bridges cutting-edge research with real-world deployment, spanning the training of AI practitioners, advising startups, and building production-grade machine learning pipelines.
