Course
Course Overview
This one day practical program introduces corporate professionals to the world of AI agents and how they are transforming modern workplaces. Unlike traditional AI tools that respond to individual requests, AI agents can plan, reason, coordinate tasks and execute multi‑step workflows with varying levels of autonomy. Designed for non‑technical audiences, this course explains AI agents in simple terms and demonstrates how they can increase productivity, improve decision‑making, automate repetitive work and support business operations. Participants will learn where AI agents add value, how to deploy them responsibly and how to identify opportunities for safe adoption within their organizations.
What you will learn
Understand what AI agents are and how they differ from traditional AI systems.
Design simple AI agent workflows for workplace productivity and operational efficiency.
Identify business processes that can benefit from agent‑based automation.
Understand how agents plan, reason and execute multi‑step tasks.
Apply AI agents to communication, research, administration and decision support activities.
Evaluate risks, governance requirements and human oversight mechanisms.
Build a roadmap for introducing AI agents into business functions safely and effectively.
Who This Course Is For
This course is designed for corporate professionals across all industries, including managers, team leaders, administrators, analysts, project managers, operations staff, HR professionals, customer service teams and transformation leaders who want to understand and leverage AI agents without requiring technical expertise.
Before You Start
No technical background is required. Basic familiarity with workplace processes, business communication and common organizational workflows will help participants gain maximum value from the examples and practical exercises.
Course Overview
Duration: 1 Day
Course ID : NUV-AIAGNT2-101
Case-based learning
Expert-led sessions & Interactive workshops
Practical strategy exercises
Module 1 : Introduction to AI
● What is Artificial Intelligence : Understand AI, machine learning and generative AI in simple business terms. ● How AI Works : Learn how AI processes information, identifies patterns and generates outputs. ● Types of AI : Explore predictive AI, generative AI, automation-focused AI and agent-based systems. ● AI in the Workplace : Review real examples of AI improving productivity, decision-making and business operations.
Module 2 : Understanding AI Agents
● What Are AI Agents : Learn how agents differ from traditional chat-based AI systems. ● How AI Agents Work : Understand goals, planning, execution, monitoring and feedback loops. ● Different Types of Agents : Personal assistants, workflow agents, research agents and task orchestration agents. ● Business Value of Agents : Explore how organizations are using agents to improve efficiency and scalability.
Module 3 : AI Agents for Everyday Business Tasks
● Communication & Coordination : Automate meeting preparation, follow‑ups and stakeholder communication. ● Research & Information Gathering : Collect, summarize and organize information from multiple sources. ● Administrative Productivity : Support scheduling, documentation, reporting and task tracking. ● Practical Exercise : Design an agent workflow for a common workplace activity.
Module 4 : Designing Agent Workflows
● Breaking Problems into Tasks : Understand how complex processes can be divided into manageable steps. ● Task Planning & Execution : Learn how agents perform multi‑step activities toward defined goals. ● Workflow Orchestration : Coordinate inputs, actions and outputs across business processes. ● Hands‑On Lab : Build a simple agent-driven workflow for a business scenario.
Module 5 : AI Agents for Decision Support & Business Operations
● Decision Assistance : Use agents to evaluate options, gather information and generate recommendations. ● Operational Efficiency : Improve process consistency and reduce manual effort. ● Cross‑Functional Use Cases : Explore applications in HR, finance, operations, customer service, sales and project management. ● Practical Exercise : Map an existing business process and identify agent opportunities.
Module 6 : Reliability, Control & Human Oversight
● Agent Limitations : Understand where agents can make mistakes and why supervision matters. ● Human‑in‑the‑Loop Controls : Define review, approval and escalation points. ● Quality Assurance : Verify outputs for accuracy, completeness and relevance. ● Risk Management : Reduce the impact of incorrect actions or recommendation
Module 7 : Governance, Privacy & Responsible Use of AI Agents
Privacy & Data Protection : Understand safe handling of organizational and customer data. ● Ethical Considerations : Address transparency, accountability and responsible automation. ● Governance Frameworks : Create policies and controls for agent deployment. ● Compliance Readiness : Ensure agent workflows align with organizational and regulatory requirements.
Module 8 : Capstone - Building an AI Agent Strategy for Your Organization
Use Case Identification : Select high‑impact, low‑risk opportunities for AI agents. ● Workflow Design : Create an agent-enabled business process. ● Success Metrics : Define productivity, efficiency and quality KPIs. ● Action Plan : Develop a roadmap for introducing AI agents within your team or department.
You will learn how to use various trending and in-demand AI capabilities that can support agent-driven workflows in practical ways by :
Deliverables
The Final Certification Exam will be conducted on the Certify Assessment (UK) and successful candidates will be awarded officially recognized credentials.