Full-Day Classroom Seminar
Agentic AI – Let AI Automate Your Work
Build intelligent AI agents to automate tasks, workflows, and business processes without requiring deep programming expertise.
A highly practical, hands-on workshop to help participants design, deploy, and use autonomous AI agents for workplace productivity.
The Programme
Programme Overview
Introduction
Course Overview
Business teams are increasingly expected to handle repetitive tasks, multi-step workflows, reporting, research, documentation, planning, and decision support with greater speed and consistency. Traditional AI tools can assist with individual tasks, but Agentic AI goes further by enabling autonomous workflows, decision-making, task delegation, and intelligent business automation.
Outcomes
What You Will Learn
This workshop helps participants understand how AI agents work and how they can be designed for everyday work, business tools, multi-agent collaboration, enterprise workflows, and safe deployment. The programme focuses on designing AI agents, creating digital co-workers, connecting agents with business applications, building multi-agent workflows, measuring business impact, and developing an organization-wide Agentic AI adoption roadmap.
Methodology
How We Teach
What You Will Learn
- Understand Agentic AI and how it differs from traditional AI.
- Design AI agents for real workplace processes.
- Identify repetitive tasks suitable for AI automation.
- Break business processes into agent-driven workflows.
- Create task-specific AI assistants and digital co-workers.
- Connect AI agents with email, documents, spreadsheets, calendars, business applications, and cloud services.
- Use APIs and connectors to automate business processes.
- Design multi-agent workflows for complex business processes.
- Apply AI agents for customer support, reporting, research, analysis, planning, documentation, and knowledge management.
- Deploy Agentic AI safely with governance, security, privacy, validation, and responsible AI practices.
The Outcome
Impact & Audience
For the Organization
Organizational Impact
Organizational Impact
- Automate routine work and streamline business workflows across the enterprise.
- Improve productivity through AI-powered workflow optimization.
- Support better decision-making with intelligent autonomous agents.
- Improve execution of research, analysis, planning, reporting, documentation, and knowledge management.
- Strengthen adoption readiness through governance, security, privacy, and responsible AI practices.
- Measure ROI and business impact of AI automation through structured deployment planning.
For the Individual
Personal Impact
Personal Impact
- Gain clarity on Agentic AI, AI agents, autonomous workflows, and decision-making.
- Build confidence in designing AI agents for everyday work.
- Learn how to convert repetitive tasks into agent-driven workflows.
- Understand how to create task-specific AI assistants and digital co-workers.
- Develop practical skills in designing single-agent and multi-agent workflows.
- Learn how to deploy AI agents safely, responsibly, and effectively.
Audience
Who Should Attend
Who Should Attend
- Business Professionals: To automate routine work, streamline workflows, and improve productivity.
- Managers: To identify AI automation opportunities and improve team-level workflow execution.
- Functional Leaders: To apply Agentic AI to reporting, planning, documentation, decision support, and workflow optimization.
- AI Enthusiasts: To understand how autonomous AI agents can be designed and used for practical workplace processes.
- Digital Transformation Teams: To explore enterprise adoption, implementation strategies, governance, and business impact of Agentic AI.
- Technology Professionals: To understand AI agent architecture, APIs, connectors, data flow, workflow orchestration, and deployment planning.
Curriculum
Course Outline
Session 1: Understanding Agentic AI & AI Agents
- Understand what Agentic AI is and how it differs from traditional AI.
- Learn the role of AI agents, autonomous workflows, and decision-making.
- Differentiate between single-agent and multi-agent systems.
- Explore business use cases of AI agents across industries.
- Understand AI agent architecture, capabilities, and limitations.
- Design an AI agent for a real workplace process through a hands-on exercise.
Session 2: Designing AI Agents for Everyday Work
- Identify repetitive tasks suitable for AI automation.
- Break business processes into agent-driven workflows.
- Apply prompt engineering for autonomous AI agents.
- Create task-specific AI assistants and digital co-workers.
- Compare human-in-the-loop and fully autonomous workflows.
- Build a workflow for an AI personal assistant through a hands-on exercise.
Session 3: AI Agents That Work with Your Business Tools
- Connect AI agents with email, documents, spreadsheets, and calendars.
- Integrate AI agents with business applications and cloud services.
- Use APIs and connectors to automate business processes.
- Manage data flow between multiple applications.
- Build trigger-based automation and event-driven workflows.
- Create an AI workflow that automates a multi-step business task through a hands-on exercise.
Session 4: Multi-Agent Collaboration & Intelligent Automation
- Build teams of specialized AI agents.
- Enable task delegation and collaboration between multiple agents.
- Understand workflow orchestration and process automation.
- Manage dependencies, approvals, and exception handling.
- Monitor AI agent performance and execution.
- Design a multi-agent workflow for a complex business process through a hands-on exercise.
Session 5: Enterprise Applications of Agentic AI
- Automate customer support, reporting, and knowledge management.
- Use AI agents for research, analysis, planning, and documentation.
- Apply autonomous agents for intelligent decision support.
- Use AI-powered workflow optimization to improve productivity.
- Review practical enterprise case studies and implementation strategies.
- Build an end-to-end AI-powered business automation workflow through a hands-on exercise.
Session 6: Deploying Agentic AI Safely & Effectively
- Understand governance, security, privacy, and responsible AI practices.
- Prevent hallucinations and validate AI-generated outputs.
- Optimize AI agents for accuracy, speed, and cost.
- Measure ROI and business impact of AI automation.
- Develop an organization-wide Agentic AI adoption roadmap.
- Create a deployment and governance plan for an enterprise AI agent through a hands-on exercise.
Faculty & Inclusions
Your Trainer
Faculty
Instructors Details
The programme is designed to be led by instructors with practical knowledge of Agentic AI, AI agents, autonomous workflows, prompt engineering, business automation, multi-agent collaboration, workflow orchestration, enterprise AI use cases, AI governance, privacy, security, validation, and responsible AI deployment.
What's Included
Certificates & Inclusions
Certificates & Inclusions
- Certificate and inclusions to be confirmed as per programme format.
- Hands-on exercises for AI agent design and workflow automation.
- Practical enterprise case studies and implementation discussions.
- Deployment and governance planning activities.
Need Assistance?
Talk to a Programme Advisor
Have questions about your specific industry, or want to enquire about group discounts? Reach out to our programme coordinators directly.
Or register by e-mail
register@princetonacademy.co.inFor Teams
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Upcoming Agentic AI – Let AI Automate Your Work Sessions
Questions
Frequently Asked Questions
This workshop is designed for business professionals, managers, functional leaders, AI enthusiasts, digital transformation teams, and technology professionals.
No. The programme is designed to help participants understand how to design, deploy, and use autonomous AI agents without requiring deep programming expertise.
The workshop focuses on helping participants use AI agents to automate routine work, streamline workflows, improve decision-making, and enhance productivity across the enterprise.
Yes. The programme covers single-agent and multi-agent systems, task delegation, collaboration between agents, workflow orchestration, dependencies, approvals, exception handling, and performance monitoring.
Yes. The programme covers governance, security, privacy, responsible AI practices, preventing hallucinations, validating AI-generated outputs, optimizing accuracy, speed and cost, measuring ROI, and creating an adoption roadmap.
