Agentic AI Live Training

Course Description

Demo Video:

Demo session - Agentic AI Live training

Agentic AI Live Training

Build Business-Ready AI Agents Without Coding

PART 1: FOUNDATION – AI & AGENTIC THINKING

Session 1: AI Basics for Non-Technical Professionals

• Understand AI, Machine Learning, and Deep Learning from a business lens

• Separate AI myths from real-world capabilities

• Discover where AI is already embedded in everyday tools

• Hands-on activity to recognize AI features you already use

Session 2: From Traditional AI to Agentic AI

• Compare rule-based automation with intelligent AI agents

• Learn what makes AI truly agentic

• Understand why Agentic AI is critical for modern businesses

• Case study comparing a chatbot with a real AI agent

Session 3: Anatomy of an AI Agent

• Learn how perception, reasoning, and action work together

• Understand memory, tools, and goal-driven behavior

• Explore the human-in-the-loop concept for business safety

• Exercise to break a daily task into agent components

PART 2: AGENT TYPES & BUSINESS USE CASES

Session 4: Types of AI Agents

• Reactive agents for simple responses

• Goal-driven agents for outcome-based tasks

• Multi-step agents for complex workflows

• Understand limitations, risks, and safeguards

• Workshop to map agent types to real business tasks

Session 5: Agentic AI in Business Functions

• Apply AI agents across HR, Marketing, Finance, Operations, and Leadership

• Analyze cost versus business value

• Identify productivity multipliers

• Case studies including HR screening and marketing content agents

PART 3: NO-CODE AI PLATFORMS (CORE SKILL)

Session 6: No-Code AI Ecosystem Overview

• Why no-code AI is the fastest path to adoption

• Overview of Flowise, n8n, and Intervo AI

• Understand agents, workflows, and triggers

Session 7: Build Your First AI Agent

• Learn prompt design and workflow fundamentals

• Define inputs, outputs, and triggers

• Test and validate agent logic

• Hands-on build of an email summarization or meeting notes agent

Session 8: Workflow Automation with AI Agents

• Design multi-step automated workflows

• Connect business tools like email, documents, and spreadsheets

• Handle basic errors and exceptions

• Hands-on build of an AI agent that processes data and delivers outputs

PART 4: DESIGNING BUSINESS-READY AGENTS

Session 9: Agent Workflow Design Thinking

• Break business work into structured automation steps

• Define clear success criteria

• Handle exceptions and edge cases

• Design an AI agent tailored to your own role

Session 10: Data, Inputs & Decision Logic

• Work with structured and unstructured data

• Apply decision logic without writing code

• Use confidence thresholds for reliability

• Test the same agent with different data inputs

PART 5: ETHICS, GOVERNANCE & RESPONSIBLE AI

Session 11: Responsible & Ethical AI

• Understand bias, fairness, and transparency

• Manage hallucinations and misuse risks

• Ensure human accountability

• Case study on AI bias in hiring

Session 12: AI Safety & Governance for Business

• Implement human-in-the-loop controls

• Set approval checkpoints

• Ensure auditability and explainability

• Workshop to add safety controls to an AI agent

PART 6: ADVANCED BUSINESS APPLICATIONS

Session 13: Scaling AI Agents in Organizations

• Move from pilot projects to production

• Overcome adoption challenges

• Manage organizational change

Session 14: Measuring ROI & KPIs

• Track productivity and efficiency metrics

• Measure time saved versus business value created

• Build simple business dashboards

• Exercise to define KPIs for your AI agent

Session 15: Working with IT & Technical Teams

• Translate business needs into technical requirements

• Navigate data access and security discussions

• Avoid shadow AI risks

• Deliver an AI agent requirement document

PART 7: CAPSTONE & INTEGRATION

Session 16: Capstone Project Planning

• Select a high-impact business use case

• Define scope clearly

• Assess risks and business impact

Session 17: Capstone Build Lab

• Guided end-to-end agent build

• Troubleshooting and optimization support

Session 18: Capstone Testing & Refinement

• Test real-world scenarios

• Perform ethical validation

• Apply final improvements

Session 19: Capstone Presentations

• Demonstrate your AI agent workflow

• Explain measurable business impact

• Receive peer and trainer feedback

Session 20: The Future of Agentic AI

• Understand multi-agent systems

• Compare AI copilots and AI agents

• Explore career paths and next steps

• Build a responsible AI mindset

Assignments & Practice (10 Hours)

• Identify three automation opportunities in your role – 1 hour

• Design an agent workflow with inputs, steps, and outputs – 1.5 hours

• Build and test your first no-code AI agent – 2 hours

• Perform ethics and risk evaluation – 1 hour

• Calculate KPIs and ROI – 1 hour

• Capstone Project: End-to-end AI agent solution – 3.5 hours