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Overview

Minimal workload, Maximum productivity

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    Learn to identify and break down repetitive tasks

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    Understand how LLMs work and leverage them effectively

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    Master the fundamentals of prompt engineering

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    Build automations and agents to support work and daily life

  • ✔️

    Learn how to leverage technologies like RAG and MCP

n8n n8n
LLms LLms
Data management Data management
Tools and Systems Tools and Systems

This course is for you if

  • ✔️

    You want to keep up to date with the latest in the AI Industry

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    You want to implement AI concepts but don't know how to code

  • ✔️

    You feel you have hit your personal limits, but want to achieve more

  • ✔️

    You are already working past capacity, and want to get back your own time

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Curriculum

What you’ll learn in this Automations and AI Agents Course

Navigate the entire ecosystem of the most disruptive AI technology.

Starting from soft skills required to strategise and identify workflows, all the way to creating actual autonomous AI Agents working for you, this course ensures you leave with the ability to maximise your output.

Learn what it takes to automate

Automation begins with knowing where to identify automations and target optimisations. Before the nitty gritty, we begin with core soft skills and laying solid foundations.

What you will do in practice:

  • Learn to identify work and processes from a higher level
  • Go deep into workflows and learn the art of logical process breakdown
  • Understand how data moves, learn control flows and become fluent in basic data architecture
  • Build your first simple but powerful workflow

Beyond simple automation, leverage Intelligence

Understand large language models and how to leverage them effectively. Include them to your workflows and transform simple workflows to intelligent reasoning automations.

What you will do in practice:

  • Understand how to handle unstructured data in your workflows
  • Learn the concepts of tokenisation, handling context, and model limitations
  • Learn the fundamentals of prompt engineering to communicate with LLMs effectively
  • Explore concepts like zero-shot, few-shot, system/assistant/user messages, and what goes behind the scenes of LLMs

Start creating personal AI agents

Advance beyond step-based workflows, offload work to actual agents that reason for you and take action.

What you will do in practice:

  • Learn about the agent landscape
  • Create basic agents and learn how to implement control
  • Understand tool use and allow your agents to take action
  • Understand the limitations and how to mitigate common pitfalls in agent design

Make your agents experts in anything you choose

Give your agents memory and knowledge. Feed them your own data and watch them become domain specialists who never hallucinate facts.

What you will do in practice:

  • Understand the basics of how vector databases work
  • Set up a RAG pipeline to query your own documents
  • Elevate your workflows to make RAG seamless

Connect your agents to the entire world

Your agents can think, now let them reach anywhere. Plug them into any tool, any data source, any system you need.

What you will do in practice:

  • Understand why MCP is a game changer
  • How to connect and leverage MCP servers in your agents
  • Go full circle by building your own MCP servers, still no code!

Orchestrate multiple agents that learn and improve

Move beyond single-agent systems to sophisticated multi-agent architectures. Create teams that work together, learn from experience, and solve complex problems autonomously.

What you will do in practice:

  • Learn multi agent orchestration systems
  • Implement learning to allow your agents to self-improve over time
  • Learn how to run evaluations to ensure you get consistent responses from your agents

Turn your experiments into battle tested workflows

Make your powerful automations bulletproof. Identify and handle errors gracefully, scale beyond limits, and deploy with confidence.

What you will do in practice:

  • Sync up past simple memory to industry databases
  • Refactor workflows for efficiency and reusability
  • Advanced error handling for clear peace of mind
  • Scale past n8n, leverage custom APIs outside of the n8n ecosystem

Build something real that solves an actual problem

Apply everything you’ve learned to create your own AI agent for a personal or professional use case. Your final project will demonstrate practical value and will be something you’ll actually use.

What you will do in practice:

  • Build and showcase a fully functional AI agent
  • Receive feedback and iterate on your solution
  • Leave the course with a workflow ready for production

Upcoming sessions

Next sessions

  • Pace
    Dates
    Timezone
    Location
    Price
  • Part-time
    March 30 -> 21 May
    Singapore (GMT +8)
    Online
    $2400
  • Part-time
    Jun 8 -> 30 July
    Singapore (GMT +8)
    Online
    $2400
  • Part-time
    March 30 -> 21 May
    Singapore (GMT +8)
    $2400
  • Part-time
    Jun 8 -> 30 July
    Singapore (GMT +8)
    $2400
Financing

Subsidies available

Through SkillsFuture and UTAP, you'll be able master building AI Agents without breaking the bank!

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Interested to find out more about the course?

Register your interest to our upcoming courses here and our admissions team will reach out shortly!

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Find out about subsidies

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Learn more about the syllabus

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Check course availability

✔

Begin application process

Building AI Agents

our method

Boost your skills learning from data software experts

With skilled and helpful teachers, you'll rapidly learn hands-on skills and build a strong foundation to further advance your career.

  • ✔️

    Apply your skills to real-world data

  • ✔️

    Gain lifetime access to Le Wagon's learning platform

  • ✔️

    Healthy student to teacher ratio

  • ✔️

    Learn through action. Hands on approach

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