Equinet Academy
Stop prompting. Start deploying.
Course Description
What is This Course About?
Most people using AI today are stuck in a loop: type a prompt, read the response, copy it somewhere, do something with it, repeat. That workflow has real value, but it is still manual. Agentic AI breaks the loop.
An AI agent does not just respond to a single prompt. It plans, makes decisions, uses tools, takes actions and works through a task autonomously, step by step. It can search the web for you, read and summarise documents, draft and send communications, pull data from systems, trigger other software, and hand off to the next step in a workflow, all without you having to do it manually.
This is a hands-on, build-first course. You will spend the majority of your time actually setting up and running agents, not listening to lectures about them. By the end of two days, you will have built working agentic workflows that automate real business tasks, and you will know how to design and manage them independently going forward.
No coding background is required. The tools covered are designed for business professionals, and the skills transfer directly to your day-to-day work.
Target Audience
Who This Course is For
This course is for business professionals who want to stop doing repetitive tasks manually and start deploying AI that works on their behalf.
- Operations and process managers who want to automate multi-step business workflows
- Marketing and content professionals looking to build research, drafting and publishing pipelines
- Sales and business development professionals automating prospecting, outreach and follow-up
- Executives and founders who want to understand what agentic AI can and cannot do before deploying it
- Product managers and transformation leads evaluating agentic AI for organisational rollout
- Anyone completing the Certified AI Practitioner programme who wants to move from using AI to deploying it
If you have been using ChatGPT or Claude for individual tasks and want to know how to chain those capabilities into automated workflows that run without you, this course is your next step.
Prerequisites
What You’ll Need to Get Started
- Comfortable, regular use of at least one AI tool such as ChatGPT, Claude, Gemini or Copilot
- Completion of Modules 1 to 3 of the Certified AI Practitioner programme, or equivalent hands-on AI experience
- 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.
Course Highlights
What You’ll Learn
Across four learning units, you will go from understanding what agentic AI actually is to building and running your own agents in a business context. Specifically, you will learn:
- How agentic AI works and how it is fundamentally different from standard prompt-response AI
- How to evaluate which agentic platforms and tools are right for your specific use case and technical context
- How to configure and instruct an AI agent so it behaves predictably and stays on task
- How to connect agents to external tools, including web search, email, calendars, documents and third-party apps
- How to design and build multi-step agentic workflows that chain tools and actions together
- How to design human-in-the-loop checkpoints so agents pause for approval at critical decision points
- How to handle agent errors and unexpected behaviour before they cause problems
- How to deploy and monitor agents in live business environments with confidence
- Real business applications across functions, including research, content, sales, operations and customer communication
Course Objectives
What You’ll Take Away
By the end of this course, you will be able to:
- Explain how agentic AI systems reason, plan and act, and how they differ from standard generative AI
- Configure and deploy a functioning AI agent using a platform appropriate to your business context
- Design and build multi-step agentic workflows that chain tools, decisions and actions into automated pipelines
- Deploy AI agents in live business environments and manage their performance, reliability and output quality over time.
Skills You’ll Acquire
Completing this course, you will develop the following practical capabilities:
Agentic AI Literacy
Understand how agents reason, plan, use tools and execute tasks autonomously
Platform and Tool Selection
Evaluate and choose the right agentic platform for different business contexts and constraints
Agent Configuration
Write effective system instructions and define agent scope, tools and behavioural constraints
Tool Integration
Connect AI agents to external tools, including web search, email, documents, calendars and third-party apps
Workflow Design
Map and build multi-step agentic workflows that chain tools and decisions into automated pipelines
Human-in-the-Loop Design
Build approval gates and checkpoints that maintain human oversight at critical decision points
Error Handling and Recovery
Identify the failure modes of agentic systems and design workflows that catch and recover from them
Agent Deployment and Monitoring
Launch agents in live environments and track performance, output quality and task completion
Business Application Mapping
Identify which business processes in your context are suitable candidates for agentic automation
Iteration and Refinement
Systematically improve agent performance through structured testing and prompt refinement
Certification Track
Level up!
This is the final module of the Certified AI Practitioner (Business & Work Applications) programme.
Module 1: WSQ AI and Machine Learning
Module 2: Generative AI (ChatGPT, Gemini, and Popular AI Tools)
Module 3: Prompt Engineering
Module 4: Agentic AI ←You are here
Completing all four modules qualifies you for the Certified AI Practitioner (Business & Work Applications) certification, validating your ability to evaluate, apply, engineer and deploy AI systems in a real business context.
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.
Course Outline
Inside The Course
This course is structured as a progressive build. Each learning unit develops a capability that feeds directly into the next, moving from understanding agentic systems through to deploying and managing them in a live business environment. Most of the time in each unit is spent building and testing, not listening.
How Agentic AI Works
- What makes an AI agent different from a chatbot: planning, tool use and autonomous action
- How agents reason: the think-act-observe loop and why it matters for reliability
- Types of agents: single-agent, multi-agent, and tool-augmented systems
- The agentic AI landscape: an honest map of what tools exist, what they can actually do, and where they still fail
- Real business applications of agentic AI across functions: research, sales, operations, content, customer service
- Where agentic AI adds genuine value versus where it adds complexity without benefit
Setting Up Your First AI Agent
- Choosing the right platform: ChatGPT Agents, Claude, n8n, Make, Zapier AI and when to use each
- Writing effective agent instructions: how to define goals, scope, constraints and persona
- Connecting your first tool: giving an agent access to a web search, a document, or an API
- Testing your agent: running it against real tasks and evaluating whether it actually works
- Common first-agent failures and how to fix them: task drift, over-confidence, and incorrect tool calls
- Hands-on build: every participant deploys a working single-tool agent by the end of this unit
Building Multi-Step Agentic Workflows
- Workflow design principles: mapping tasks, decision points, tools and outputs before you build
- Chaining actions: how to connect agent outputs to the next step in a workflow
- Tool integration in depth: email, calendar, file handling, CRM, and third-party app connections
- Human-in-the-loop design: building approval checkpoints that preserve oversight without killing efficiency
- Handling errors and unexpected agent behaviour: timeouts, hallucinated tool calls, and infinite loops
- Hands-on build: every participant constructs a multi-step workflow relevant to their own work context
Deploying and Managing Agents in Business Contexts
- Moving from test to live: what changes when an agent runs in production versus a sandbox
- Monitoring agent performance: what to track, what good looks like, and when to intervene
- Maintaining and improving agents over time: when to update instructions, change tools or retire a workflow
- Practical guardrails for business use: keeping agents on task without over-engineering the controls
- Scaling from one agent to many: managing multiple agentic workflows without losing visibility
- Case studies: real business deployments of agentic AI across sales, marketing, operations and research functions
- Final build: participants present a complete agentic workflow, scoped, built and ready for real deployment
Assessment Methods
- 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
Trainers
Meet Your Educators
Trainer Bio
Dale Peh
Dale Peh is a senior Transformation consultant, trainer, and practitioner with over 15 years of experience across organisation transformation, data analytics, and applied artificial intelligence. He specialises in helping professionals and organisations translate emerging technologies, particularly Agentic AI, into practical, ethical, and commercially viable applications. His work spans workforce transformation, AI-enabled decision support, agentic AI systems, and data-driven strategy, with a strong emphasis on real-world implementation rather than theoretical adoption.
Course Fee & Funding
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Full Course Fee (without funding)
S$499S$999.00
Course Schedule
Mark Your Calendar!
Duration: 2 Days / 16 Hours
This is a build-first workshop. Most of each day is spent hands-on, setting up, testing, breaking and improving agentic workflows. Bring a laptop, a business problem you want to solve, and the willingness to actually build something.
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There are currently no intakes available. Please contact us to enquire on the next intake dates.
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.
Brochure Download
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