# AI Agents for Workflows Canonical URL: ## Overview AI agents are a new class of tool that can plan, act, and adjust over several steps to finish a task. They are appearing in workplace technology more often, and organizations are actively working out where they belong in real workflows. This course covers the current agentic AI landscape, permission models, security considerations, lifecycle management, and workforce readiness. The emphasis throughout is on evaluation, oversight, and informed decision-making rather than on coding or technical implementation, so you finish able to judge whether a given agentic tool suits a given workflow. ## What you'll learn - Define AI agents and draw the distinctions between them and automation, chatbots, or decision-support tools. - Give a high-level account of agentic tool mechanics, covering the AI model, the planning loop, tool access, and containment boundaries. - Judge the suitability of a particular agentic tool for a given workflow by working through a structured framework. - Spot the risks, limitations, and operational warning signs that accompany agentic AI systems. - Rely on governance frameworks and models of human oversight whenever agentic tools are in use. - Gauge how ready your organization is to take on agentic tools. - Identify the security concerns unique to agentic tools, such as prompt injection and permission models. ## Curriculum #### Module 1: Understanding AI Agents - What AI agents are and how they differ from automation, chatbots, and decision-support tools - Core characteristics of AI agents: goal-driven behavior, multi-step execution, autonomy, and context-awareness - The agentic AI landscape today: desktop agent tools, enterprise agent platforms, developer tools, and AI assistants with tool access - How agentic tools work under the hood: the AI model, planning loop, tool access, and containment boundary - Live demonstration of an agentic tool performing a multi-step government workflow task - Human oversight roles: human-in-the-loop, human-on-the-loop, and human-in-command - Common misconceptions and key risks, including prompt injection - Current federal AI policy direction and its implications for government agencies #### Module 2: Evaluating Agentic Tools for Government Work - The evaluation mindset: understanding the workflow before evaluating the tool - Identifying agent roles in a workflow: intake, analysis, recommendation, and escalation - The Agent Evaluation Blueprint: goal, trigger, inputs, actions, boundaries, and oversight - Permission models and data access: folder-level vs. organization-wide, network access, and least privilege - Prompt injection: what it is, how it works, and why agentic tools are uniquely vulnerable - Questions to ask before saying yes: a practical pre-approval checklist - Hands-on activity: evaluate a realistic agentic tool proposal for a government workflow #### Module 3: Where Agentic Tools Fit — and Where They Don't - Appropriate use cases: case triage and routing, document analysis and extraction, internal coordination, and monitoring and alerts - High-risk or inappropriate uses of agentic tools in government - Operational risks: over-automation, over-reliance, and rubber-stamping - Drift: data drift, concept drift, and objective drift — and how to detect them - Early operational warning signs that an agentic tool may be failing - Hands-on activity: red team a deployed agentic tool scenario to identify risks and recommend action #### Module 4: Governing Agentic Tools in Your Organization - Why governance is essential — and why no centralized federal AI regulator is coming - Governance vs. technical controls: policies, oversight bodies, and accountability structures - Legal, ethical, and procurement considerations: FedRAMP, ATO, vendor data handling, and records retention - Security for agentic tools: access controls, prompt injection defenses, anomaly monitoring, and incident response - Lifecycle management: design, pilot, deploy, monitor, update or retire — including regulatory sandbox alignment - Performance monitoring and metrics: accuracy, override rates, equity indicators, and user satisfaction - Workforce readiness and change management: role clarity, training on tool limitations, and avoiding fear and over-trust - Deployment readiness checklist: a practical gate review before any agentic tool goes live - Hands-on activity: conduct a readiness gate review for a proposed agentic tool deployment ## Schedule - Oct 20, 2026 8:00am–12:00pm — NYC - Nov 10, 2026 1:00pm–5:00pm — NYC - Dec 1, 2026 8:00am–12:00pm — NYC - Feb 11, 2027 8:00am–12:00pm — NYC - Mar 29, 2027 8:00am–12:00pm — NYC - May 3, 2027 8:00am–12:00pm — NYC - Jun 4, 2027 8:00am–12:00pm — NYC - Jul 9, 2027 8:00am–12:00pm — NYC - Aug 11, 2027 8:00am–12:00pm — NYC - Sep 29, 2027 8:00am–12:00pm — NYC ## FAQ ### Who is the target audience for this course? Professionals who evaluate, oversee, or support AI-enabled initiatives are the audience for this course. ### Is this course open to beginners? Yes, this course is open to beginners. Students must be comfortable using a computer. No other prior knowledge is required. ### Do you offer payment plans or student financing for this course? This course does not qualify for payment plans or student financing. See our Payment Plan FAQ to find related programs that qualify. ### Can I take this course online (remote learning)? No upcoming live online dates are currently available. Please contact us about future availability. ### What happens if I need to miss a session? You have some options: You can watch a recording of the session. We will provide any course materials. Contact us to confirm whether remote attendance is available for your session. You can use your free retake to make up any missed class time. ### What’s included with my tuition? A hands-on learning experience working on projects and exercises, which is proven to boost comprehension, retention, and engagement Expert instructors who are industry professionals and experienced educators that are driven to help you succeed Top-notch curricula that have been tried and tested over many cohorts and are consistently improved for an optimal learning experience A 1-year free retake policy which allows students to retake any part of the course or program for free to refresh the materials and gain additional practice 30-day access to class recordings to review material at your own pace A certificate of completion to verify your accomplishment ### Are there any additional fees or expenses? There are no extra fees or taxes for our courses. The price you see on this page is the maximum you’ll pay us. However, if you plan to take the course live online , you may need to obtain required software. We’ll help you get set up with a free trial of paid software prior to the class. Most of our coding classes utilize freely-available open-source software. For most of our design and motion graphics courses, we will help you get set up with a free trial of Adobe Creative Cloud. If you attend the course in-person, we will have a computer already set up for you with all of the required software for no additional cost. ### Do you offer any discounts for this course? We don’t currently offer discounts as we do our best to affordably price our courses. ## Pricing **Tuition:** $675