Agentic AIStop using AI. Start deploying it.
Move beyond chat interfaces and build AI agents that work on your behalf. In 16 intensive hours, you will design, build, and deploy real AI workflows and autonomous agents — using no-code and low-code tools. No prior coding required.
Certification
Certified Agentic AI Practitioner (CAAIP)
Outcomes that change
how you work.
- Build your first working AI agent within the first day of the programme
- Design multi-step automated workflows connecting multiple AI tools and data sources
- Deploy agents that handle email triage, research, reporting, and lead processing autonomously
- Understand how agentic AI differs from standard AI chat — and when to use each
- Evaluate and select the right automation platform for your organisation's use case
- Apply governance and oversight principles to AI agents operating at scale
- Document and hand off AI workflows so your team can maintain and extend them
- Earn the Certified Agentic AI Practitioner (CAAIP) credential
Built for specific people.
AI-Confident Professionals
People who already use ChatGPT or Copilot and are ready to go to the next level — building agents that work without constant human input.
Operations & Process Leaders
Professionals responsible for efficiency and workflow improvement who want to automate repetitive, rules-based processes using AI.
Product & Innovation Teams
Teams prototyping AI-powered products and internal tools who need the skills to build fast without full engineering resources.
Technical Business Professionals
Analysts, BAs, and project managers comfortable with no-code platforms who want to add AI agents to their toolkit.
Real challenges. Real solutions.
AI stops when you stop
Most professionals use AI only when they actively prompt it. Agentic AI runs in the background — completing tasks while you focus on higher-value work.
Tool fragmentation
Different tools don't talk to each other. AI agents act as connectors — taking output from one tool and feeding it directly into another, automatically.
Repetitive manual processes
Email triage, report compilation, data extraction, CRM updates — these are high-cost, low-value tasks that AI agents handle reliably at scale.
AI initiatives stalling at proof of concept
Many organisations have AI pilots that never scale. Agentic AI training gives teams the practical skills to move from demo to deployed.
From AI user to AI builder.
Agentic AI represents the next frontier of professional AI capability. While most professionals use AI as a tool they interact with, agentic AI means building systems that take actions, make decisions, and complete tasks on your behalf — without requiring constant human intervention. This programme teaches you to design, build, and govern AI agents using the most powerful no-code and low-code platforms available today — including Make, n8n, Zapier, and Microsoft Power Automate.
16h
Intensive Training
3
Days
8+
Agents Built
What the programme covers.
Introduction to Agentic AI
Day 1 · 2 hours
- What agentic AI is and how it differs from standard AI chat
- The anatomy of an AI agent: triggers, actions, conditions, memory
- Real-world agent examples: email triage, research synthesis, CRM updates
- The agentic AI landscape: Make, n8n, Zapier, Power Automate, AutoGen
Building Your First AI Agent
Day 1 · 4 hours
- Setting up your automation platform and connecting AI services
- Building a simple trigger-action agent step by step
- Connecting ChatGPT / Claude to your automation workflow
- Testing, debugging, and iterating your first live agent
Intermediate Agent Design
Day 2 · 4 hours
- Multi-step agents with conditional logic and branching
- Connecting agents to real data sources: email, spreadsheets, CRMs, databases
- Handling errors and exceptions gracefully in automated workflows
- Building a research synthesis agent that processes documents and produces summaries
Advanced Agent Patterns
Day 2 · 4 hours
- Agent chains: one agent triggers another in a coordinated pipeline
- Memory and context: agents that remember previous interactions
- Human-in-the-loop design: when to require approval before an agent acts
- Building a lead qualification agent with scoring and routing logic
Governance & Responsible Agents
Day 3 · 2 hours
- AI agent risk: what can go wrong and how to prevent it
- Logging, auditing, and monitoring deployed agents
- Governance frameworks for AI agents in regulated industries
- When not to automate: the human judgment threshold
Capstone: Build & Deploy Your Own Agent
Day 3 · 4 hours
- Each participant designs a custom agent for their specific use case
- Build, test, and refine the agent with facilitator and peer support
- Present your agent to the cohort — demo, explain the design decisions, show the output
- Certification assessment and CAAIP credential pathway
See it applied in the real world.
Sales Operations
Builds an agent that monitors a lead inbox, scores each enquiry using a GPT-powered prompt, routes high-priority leads to the CRM, and sends an initial personalised response — all without human intervention.
Reduces lead response time from 4 hours to under 5 minutes. Sales team focuses only on qualified, pre-processed leads.
HR Director
Creates an agent that monitors job applications, extracts key information from CVs using AI, scores them against a rubric, and produces a ranked shortlist in a shared spreadsheet every morning.
Cuts initial screening time from 3 hours to 15 minutes. Hiring managers receive a ranked, pre-assessed shortlist instead of a raw inbox.
Strategy Analyst
Deploys a research agent that monitors 15 competitor websites and newsletters, extracts relevant updates using AI, summarises changes, and delivers a weekly competitive intelligence briefing to Slack.
What previously required 2 hours of manual research per week now happens automatically — with more comprehensive coverage.
Learn by doing, not watching.
Lab 01
Build Agent Lab 1: Email Triage Agent
Build an AI agent that reads incoming emails, categorises them by type and priority, drafts a suggested response using ChatGPT, and flags urgent items for human review.
Lab 02
Build Agent Lab 2: Research Synthesis Agent
Create an agent that takes a list of URLs or documents, extracts key information using AI, and produces a structured summary report — automatically triggered on a schedule.
Lab 03
Build Agent Lab 3: Report Generation Agent
Build a workflow that pulls data from a spreadsheet, generates an AI-written narrative summary, formats it into a report template, and emails it to a distribution list.
Lab 04
Build Agent Lab 4: Lead Processing Pipeline
End-to-end lead processing: receive a form submission, enrich the data using AI, score the lead, update the CRM, and send a personalised follow-up email — one connected agent.
Lab 05
Capstone: Your Custom Agent
Design and build an agent that solves a real problem in your organisation. Receive facilitator and peer feedback. Deploy it live before the programme ends.
Lab 06
Governance & Oversight Workshop
Apply a governance checklist to your deployed agents. Identify risks, add human-in-the-loop checkpoints, and configure logging and monitoring for operational confidence.
You will work with the real tools.
Different by design.
Practical, Not Theoretical
Every session starts with a real business problem. Concepts are introduced only when they serve a specific outcome you need to deliver.
Real Use Case Focus
We teach through scenarios drawn from real professional contexts — Finance, HR, Marketing, Leadership — so learning transfers immediately.
Designed for Simplicity
Complexity is hidden. Clarity is foregrounded. You get exactly what you need to act — without being overwhelmed by what you don't.
Tool Adoption Science
Our methodology is built on behavioural science and habit formation principles — so you actually use what you learn, not just remember it.
Neuroscience Principles
Learning design based on how brains retain and apply information. Spaced repetition, active retrieval, and contextual practice built in.
ISO 42001 Certified
MHCAI is the only AI learning institute that combines ISO 42001 certification, role-specific academies, and a human-centred methodology.
Build agents. Deploy intelligence.
Agentic AI is a 3-day intensive bootcamp available as a public programme and as a bespoke corporate training engagement. Cohorts capped at 20 participants to ensure hands-on facilitation.