Craft Knowledge

Courses / AI Engineer

AI Engineer

Build, evaluate and deploy LLM apps, RAG systems and AI agents. Learn to ship AI features that are accurate, safe and affordable to run.

AdvancedLive + self-pacedCertificate of completion

At a glance

FocusLLM apps & AI agents
ToolsPython, LLM APIs, vector databases, Docker
Content11 modules · 68 lessons
FormatLive + self-paced
Duration6 weeks
Access365 days on the platform

Curriculum

What you'll learn

11 modules · 68 lessons, with self-graded quizzes after each topic and your progress tracked on your dashboard.

01

Python for AI engineering

APIs, async code and data handling for AI apps.

02

How LLMs work

Tokens, context windows, model choice and their limits.

03

Prompting and structured output

Write reliable prompts and get JSON your code can use.

04

Embeddings and vector search

Turn documents into searchable vectors.

05

Retrieval-augmented generation

Build RAG systems that answer from your own data with sources.

06

Tools and AI agents

Let models call tools and complete multi-step tasks.

07

Evaluation and testing

Measure quality with test sets and automated checks.

08

Deployment, cost and safety

Ship as an API with guardrails, monitoring and cost control.

Hands-on learning

Hands-on labs and capstone project

You learn by doing. Every topic has a lab, and the course ends with a capstone built on a real-world challenge.

Hands-on labs

Practise every skill

  • Call an LLM API and return structured JSON
  • Build vector search over a document set
  • Create a RAG question-answering app
  • Write an evaluation set and score your app

Practise in the platform's command-line simulator. Lab servers and clusters are available during live classes.

Capstone project

Company knowledge assistant

Build an assistant that answers staff questions from company documents with citations and can take simple actions through tools.

  • Document ingestion with RAG and source citations
  • An agent that calls two business tools
  • Evaluation suite, guardrails and deployment as an API

Reviewed by an industry expert, and ready to show employers in your portfolio.

Career & interview prep

Get ready to land the job

Career coaching is included with the Platinum plan. Our coaches are industry experts who know what hiring teams look for.

✓Résumé built around your capstone project
✓LinkedIn profile and GitHub portfolio review
✓Mock technical interviews for AI engineer roles
✓Behavioural interview practice with the STAR method
✓Common interview questions and how to answer them
✓Job search plan and application strategy
Plans

Choose how you want to learn

Both plans include the full 6-week course. Platinum adds live lab help and career coaching.

GoldSelf-paced
$500one-time

Total course price

  • Self-paced course access
  • Independent learning
Create Account
Most popularPlatinumSelf-paced + live lab assistance
$1,500total

Total course price, or 3 installments of $500

  • Self-paced course access
  • Independent learning
  • Lab assistance
  • Career coaching
Create Account

Not sure which plan fits? Talk to us and we'll help you choose.

Ready to start?

Become a MuleSoft developer.

Book a free consultation with our founder or reserve a seat at this week's orientation.