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FOR ANYONE WHO KEEPS HEARING “AI AGENTS” AND WANTS TO ACTUALLY BUILD ONE
Build AI Agents Without Coding — From Idea to a Real, Working Agent
- 25 chapters, 71 pages
- Companion workbook + 18-checklist pack + bonus resources
- 21 hands-on labs, building real working agents
- Instant digital download
A practical, 25-chapter guide to designing, building, testing and deploying AI agents on no-code platforms — built around one real fictional business, so you see exactly how it fits into genuine day-to-day work.
Not another explainer on what an agent theoretically is. A repeatable method for designing one properly, connecting it safely, and knowing exactly where a human still needs to stay in charge.
Secure checkout. Instant access from your dashboard as soon as payment clears.
Everyone's Talking About AI Agents — Almost Nobody Explains How to Build One Safely
Most people trying to build an AI agent don't fail because the platforms are too hard — they fail because nobody ever showed them how to design one properly, test it before it goes live, or know exactly where a human still needs to approve the outcome.
Confusing an Agent With a Chatbot
Typing into a chat window and calling it an “agent” skips the actual structure — the goal, the tools, the guardrails — that makes an agent genuinely reliable.
No Idea Where the Guardrails Go
Without a clear checkpoint system, an agent either gets over-supervised into uselessness, or quietly gains too much autonomy before anyone notices.
Deployed Without Ever Being Tested
An agent that only ever handled the one example used to build it hasn't actually been tested — and the first real failure shows up in front of an actual customer.
From “I Should Probably Build an Agent for This” to a Deployed, Tested, Measured One
By the end of the course, you'll have designed, built, tested and deployed a complete AI agent for your own business — with the right human checkpoint, a real testing plan, a permissions audit, and a way to measure whether it's actually working.
- A repeatable ten-step method for designing any agent properly, from confirming it's needed to measuring its results
- The confidence to write clear agent instructions, and connect only the knowledge and tools it genuinely needs
- Working, hands-on builds — a research agent, a content planning agent, a support agent, a lead qualification agent, an email triage agent, an admin agent — not just theory
- A clear, permanent instinct for where a human checkpoint belongs, and how to test an agent properly before it goes live
- Your own personal AI Agent Action Plan and a realistic 30-day plan to deploy your first real agent
Course Curriculum
Twenty-five chapters, built to be worked through in order — each one building on the eight-block framework introduced in Chapter 2.
01Module 1: Agent Foundations▾
Understand what an AI agent is, its building blocks, when you actually need one, and how to choose a no-code platform.
- Ch.1 — What Is an AI Agent?
- Ch.2 — The Building Blocks of an AI Agent
- Ch.3 — When You Actually Need an Agent
- Ch.4 — Choosing a No-Code AI Agent Platform
02Module 2: Designing & Equipping Your Agent▾
Design your first agent, write good instructions, give it business knowledge and memory, and connect it to tools.
- Ch.5 — Designing Your First Agent
- Ch.6 — Giving Agents Good Instructions
- Ch.7 — Giving an Agent Business Knowledge
- Ch.8 — Agent Memory & Context
- Ch.9 — Connecting Agents to Tools
03Module 3: Building Practical Agents▾
Build research, content, support, lead, email and admin agents, plus an agent that works with automation.
- Ch.10 — Building a Research Agent
- Ch.11 — Building a Content Planning Agent
- Ch.12 — Building a Customer Support Agent
- Ch.13 — Building a Lead Qualification Agent
- Ch.14 — Building an Email Triage Agent
- Ch.15 — Building an Admin Agent
- Ch.16 — Building an Agent With Automation
04Module 4: Safe & Reliable Agents▾
Design human-in-the-loop checks, test and fix failures, manage privacy and permissions, avoid over-automation and measure usefulness.
- Ch.17 — Human-in-the-Loop Design
- Ch.18 — Testing an AI Agent Properly
- Ch.19 — Fixing Agent Failures
- Ch.20 — Privacy, Security & Permissions
- Ch.21 — Avoiding Dangerous Over-Automation
- Ch.22 — Measuring Whether an Agent Is Actually Useful
05Module 5: Going Further▾
Explore multi-agent workflows, build your own complete agent and follow a 30-day implementation plan.
- Ch.23 — Multi-Agent Workflows
- Ch.24 — Build Your Own Complete AI Agent
- Ch.25 — 30-Day AI Agent Implementation Plan
What's Included
Everything you need to genuinely design, build and deploy your first AI agent this month — not just another explainer video.
Course Ebook
The full 25-chapter course, following one consistent fictional business — BrightNest Home Services — through real agent builds across support, research, content, leads, email and admin.
- 25 chapters, 71 pages
- One consistent fictional business and team throughout
- A platform-agnostic approach, built on custom diagrams, not one vendor's screenshots
- A full chapter on privacy and permissions, and a full chapter on avoiding over-automation
Practical Workbook
26 worksheets matching every stage of the course, including all 21 Labs, so you design and test your own agents rather than just reading about someone else's.
- Agent readiness assessment and eight-block mapping exercise
- Design canvas, instruction builder and knowledge-audit worksheets
- Testing plan, debugging log and permissions audit exercises
- Your own AI Agent Action Plan and 30-day deployment plan
Checklists, Templates & Final Assessment
18 quick-reference checklists, 10 bonus resources including 50 ready agent ideas, and a full final assessment with a fully explained answer key.
- 18 on-the-day checklists, from agent readiness through to a pre-launch check
- 50 agent ideas organised by category, plus 9 blank planning templates
- A human-in-the-loop checkpoint matrix and performance scorecard template
- 36 assessment questions across five formats, fully answered
Certificate on Learn.GigLad.com
Pass the final assessment and your Certificate of Completion is issued automatically in your Learn.GigLad.com dashboard — a genuine addition to your CV and LinkedIn profile.
- Issued automatically when you pass the final assessment
- Personalised with your name and completion date
Delivered as digital files viewable on any device. Estimated course completion time: around 8–10 hours, plus your own hands-on build time.
Prove It, Then Get Your Certificate
- 1Complete all required lessons
- 2Complete all required practical activities
- 3Reach 100% required progress
- 4Pass the Final Assessment — 20 multiple-choice questions, 5 design scenarios, 5 troubleshooting scenarios, 5 privacy and risk decisions, 1 Complete Agent-Design Challenge (70% pass mark, retakes allowed)
- 5Your Certificate of Completion becomes available
Is This For You?
This is for you if you're:
- Business owners and non-technical teams who want to build a useful AI agent
- Operations, support and marketing staff exploring agents for real workflows
- Anyone who wants a repeatable method for designing, testing and deploying an agent
- Learners who want to keep a human in charge of what an agent does
Probably not for you if you're:
- Developers looking for code frameworks or custom agent engineering
- Wanting a fully autonomous agent with no human oversight
- Wanting click-by-click screenshots of one specific agent platform
- Wanting a guarantee that an agent will work perfectly or save a set amount of time
GigLad
GigLad publishes practical, action-based digital courses with worked examples, fillable workbooks and a final assessment. Each course follows one fictional example from start to finish, so you see a complete method applied, and none promises results it cannot control.
What You Get
- Course Ebook
- Practical Workbook
- Checklists, Templates & Final Assessment
- Certificate on Learn.GigLad.com
Secure checkout. Instant access from your dashboard as soon as payment clears.
Includes lifetime access.
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Frequently Asked Questions
No. This course is written for complete beginners with no coding background, and focuses entirely on no-code agent-building platforms.
No, and that's deliberate. No-code agent platforms change quickly, so this course teaches transferable design principles using custom diagrams rather than screenshots of one vendor's interface — the techniques work whether you use a ChatGPT-based assistant, Zapier, Make, n8n, Copilot Studio or another platform.
You'll receive five PDF files: the course ebook, the practical workbook, the checklist pack, the bonus resources pack, and the final assessment with answer key — instantly after checkout. When you pass the assessment, your certificate of completion is issued on Learn.GigLad.com.
No — this course works perfectly as a standalone course. It builds on the same practical, tool-agnostic approach but goes specifically deeper into agent architecture, tool use, instructions, memory, testing and safety, without repeating that course's content.
Ready to Build a Real, Working AI Agent?
Get the full course, workbook, checklist pack, bonus resources and final assessment — and design, build and deploy the first AI agent your business can genuinely rely on.
Secure checkout. Instant access from your dashboard as soon as payment clears.
