Equinet Academy > All Courses > Agentic AI Course

Agentic AI · 1 Module · 16 Hours

Automate work. Amplify impact.

Agentic AI Course

Build AI agents that automate complex work, streamline operations, and free your team to focus on higher-value decisions.

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What's included
  • 16 hours of instructor-led training
  • Industry practitioner trainer
  • Alumni community access
  • Post-training mentoring and support

Course Description

What is This Course About?

The future of AI is not better answers. It is autonomous execution. Instead of responding to a single prompt, AI agents can plan tasks, use tools, make decisions, and carry work through to completion.

This course teaches you how to build and deploy AI agents that automate real business workflows. You will learn how to configure agents, connect them to external tools, design multi-step workflows, implement human approval checkpoints, and manage agent performance in live business environments.

Move beyond using AI as an assistant and start deploying AI as a digital workforce that automates processes, improves productivity, and scales your impact across the organisation.

Tools Covered

Inside Your Toolbox

Specific tools depth of coverage may vary based on industry trends and learner needs.

ChatGPT
Claude
n8n
Make
Zapier AI

Course Outcomes

Skills That Give You an Edge

Skills Gained

Agent Building

Create AI agents that perform real tasks.

Workflow Automation

Automate multi-step business processes.

Tool Integration

Connect agents to apps, files, and systems.

Human-in-the-Loop Design

Add approval checkpoints for better control.

Error Handling

Manage failures and unexpected agent behaviour.

Agent Deployment

Launch, monitor, and improve agents in real business settings.

Course Outline

Inside The Course

Agentic AI Course Outline Infographic

1
How Agentic AI Works
Instructor-Led • Explicit teaching (Lecture) & Homework • Demonstrations / Modelling • Discussions
Topics Covered:
  • Distinguish how AI agents differ from traditional chatbots and generative AI tools
  • Understand the think-act-observe loop and its impact on agent reliability
  • Identify single-agent, multi-agent, and tool-augmented AI systems
  • Evaluate leading agentic AI platforms, their capabilities, limitations, and use cases
  • Explore real business applications across research, sales, marketing, operations, and customer service
  • Identify where agentic AI adds genuine value and where it adds unnecessary complexity
2
Setting Up Your First AI Agent
Instructor-Led • Demonstrations / Modelling • Drill and Practice • Problem solving
Topics Covered:
  • Select the right platform for your business context, including ChatGPT Agents, Claude, n8n, Make, and Zapier AI
  • Configure agent instructions, goals, constraints, and operating parameters
  • Connect agents to tools such as web search, documents, email, APIs, and third-party applications
  • Test agent performance and diagnose issues such as task drift and incorrect tool usage
  • Troubleshoot common agent failures including over-confidence, incorrect tool calls, and workflow breakdowns
  • Build and deploy a working AI agent on your chosen platform
3
Building Multi-Step Agentic Workflows
Instructor-Led • Problem solving • Simulations • Peer teaching / Peer practice
Topics Covered:
  • Map workflows using tasks, decision points, tools, and outputs
  • Chain actions and connect outputs across multiple workflow steps
  • Integrate business tools including email, calendars, file management systems, CRM platforms, and third-party applications
  • Design human-in-the-loop checkpoints that balance automation with oversight
  • Handle agent errors including timeouts, hallucinated tool calls, task drift, and workflow failures
  • Build a multi-step agentic workflow relevant to your own business context
4
Deploying and Managing Agents in Business Contexts
Instructor-Led • Problem solving • Case studies • Demonstrations / Modelling
Topics Covered:
  • Move agents from sandbox testing into live business environments
  • Monitor agent performance, reliability, and output quality
  • Maintain and improve agents as business requirements and technologies evolve
  • Apply governance, guardrails, and risk controls for business deployment
  • Scale from individual agents to multiple agentic workflows across teams and functions
  • Explore real business deployments of agentic AI across sales, marketing, operations, and research functions
  • Design and present a complete agentic workflow, scoped, built, and ready for real-world deployment
5
Assessments
  • Case Study Written Assessment: analysis of a real-world agentic AI deployment scenario
  • Individual Project Presentation: complete agentic workflow presented with design rationale and deployment plan

Target Audience

Who Should Attend

This course is for business professionals who want to stop doing repetitive tasks manually and start deploying AI that works on their behalf.

It is suitable for:

  • Operations and Process Managers
  • Marketing and Content Professionals
  • Sales and Business Development Professionals
  • Product Managers and Digital Transformation Leaders
  • Executives and Founders

Certification Pathway

Get Certified

To attain the Certified AI Practitioner (Business & Work Applications) 2.0 certification, learners are required to complete all four modules:

A Certification of Completion by Equinet Academy will be awarded to candidates who have demonstrated competency in the Agentic AI course assessment and achieved at least 75% attendance.

Prerequisites

What You’ll Need to Get Started

  • Comfortable, regular use of at least one AI tool such as ChatGPT, Claude, Gemini or Copilot
  • A specific business context or workflow in mind that you would like to automate or improve
  • A laptop with access to the tools covered in the course
  • No programming or technical background is required. If you can use AI tools and manage digital workflows, you have what you need to succeed in this course.

Trainers

Meet Your Educators

Trusted AI consultant to the Singapore Manufacturing Federation (SMF)Founder of LIVO Pte Ltd, AI Transformation Consultancy15+ Years of Experience in AI, Data Analytics, and Organisation Transformation

Course Fee and Funding

Fund Your Brain Gain

This is a SkillsFuture-funded course. The full course fee is S$999.00. Your nett fee depends on your citizenship, age, and whether you are sponsored by an SME employer. Additional offsets like SkillsFuture Credit, PSEA, and SFEC can stack on top of your nett fee.

1. SSG SUBSIDY TIERS

Pick the row that describes you. Subsidies are applied at registration; no separate application is needed.

Who you areSubsidyNett fee
Singapore Citizen aged 40 and above, self-sponsored or employer-sponsored (Non-SME)MCES (MID-CAREER ENHANCED SUBSIDY)Baseline 50% + MCES 20% = 70% totalS$299.70save S$699.30
Singapore Citizen, PR, or LTVP+ Holder sponsored by an SME employerETSS (ENHANCED TRAINING SUPPORT FOR SMES)Baseline 50% + ETSS 20% = 70% totalS$299.70save S$699.30
Singapore Citizen, PR, or LTVP+ Holder aged 21 and above, self-sponsored or employer-sponsoredBASELINE FUNDINGBaseline 50%S$499.50save S$499.50
Foreigner / not eligible for SSG fundingSubsidies not applicableS$999.00full fee

Eligibility for ETSS depends on your employer’s SME status (ACRA-registered with annual sales of S$100M or less, or 200 employees or fewer). MCES applies to Singapore Citizens aged 40 and above. You receive whichever subsidy is most favourable, not both.


2. ADDITIONAL OFFSETS (STACK ON TOP)

These are applied to your nett fee after subsidies. You can combine more than one if you qualify.

SkillsFuture Credit (SFC)

Self-sponsored
SINGAPORE CITIZENS AGED 25 AND ABOVE

Use your SkillsFuture Credit balance to offset your nett course fee. Singaporeans receive a base credit of S$500.

PSEA

Self-sponsored
SINGAPORE CITIZENS AGED 30 AND BELOW

Use your Post-Secondary Education Account to pay for SkillsFuture-related course fees. Apply via your bank or MOE.

SFEC

Employer
ELIGIBLE SME EMPLOYERS

Employers can use SkillsFuture Enterprise Credit (S$10,000) to offset up to 90% of out-of-pocket course fees on top of existing schemes. Check eligibility at enterprisesg.gov.sg.


3. WORKED EXAMPLE
Stacked funding example
Full course feeS$999.00
GSTS$89.91
Less: Baseline Funding (non-tax inclusive)− S$499.50
Less: MCES subsidy (non-tax inclusive)− S$199.80
Less: GST absorption− S$89.91
Nett fee after SSG subsidyS$299.70
Less: SkillsFuture Credit− S$299.70
Out-of-pocket after SFCS$0.00
Final out-of-pocket costS$0.00

Example assumes you have at least S$299.70 SkillsFuture Credit opening credit balance. Actual nett fee depends on your specific eligibility.

Course Schedule

Mark Your Calendar!

Duration: 2 Days (16 Hours)

Course Dates Trainer
22, 23 Sep 2026 -
9:00am - 6:00pm
Tue, Wed · In-Person
27, 28 Oct 2026 -
9:00am - 6:00pm
Tue, Wed · In-Person
21, 22 Dec 2026 -
9:00am - 6:00pm
Mon, Tue · In-Person

Frequently Asked Questions (FAQs)

The Need-to-Know Stuff, Fast

Everything you need to know about the course. Can’t find the answer you’re looking for? Please contact our friendly team.

No. All tools covered are designed for business professionals without a programming background. You will configure agents using natural-language instructions and no-code workflow builders, not by writing code.

That is fine. The course starts from the beginning and builds progressively. By the end of Day 1, you will have a working agent running. The pace is designed for first-time builders.

You will need a laptop and accounts on at least one or two of the covered platforms, most of which offer free tiers. A full list of required tools and setup instructions will be sent ahead of the course.

Especially relevant. Understanding what agents can and cannot do before an organisational rollout lets you make informed decisions about where to start, what to avoid and how to set realistic expectations.

Prompt engineering covers how to get better outputs from a single AI interaction. This course is about deploying AI that works autonomously across multiple steps and tools, without a human in the loop for every action.

Yes. The final session is a live build and presentation. Every participant leaves with at least one working agentic workflow scoped and built for their own business context, not a theoretical exercise.

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