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LEARNING PATH 05

Artificial Intelligence

For experimenters who want to understand modern AI and build thoughtful, useful applications with it.

PATH SNAPSHOT
Starting pointPython fundamentals recommended
Core toolkitDeep Learning · GenAI · LLMs
Learning styleConcepts · Practice · Applied project
01

Is this path for you?

Follow this path if these goals sound like where you want to go next.

  • Developers building intelligent product features
  • Data practitioners moving into deep learning
  • Curious professionals who want to understand modern AI
02

What you’ll be able to do

01

Explain the ideas behind neural networks and transformers

02

Build applications with embeddings and language models

03

Measure output quality with practical evaluation methods

04

Identify safety, reliability, and responsible-use concerns

03

Your learning roadmap

Five connected stages take you from strong foundations to confident application.

  1. 01

    AI foundations

    Build the mathematical and programming intuition behind intelligent systems.

    PythonLinear algebraMachine learning
  2. 02

    Deep learning

    Understand how neural networks learn useful representations.

    Neural networksTrainingOptimization
  3. 03

    Transformers and language models

    Explore the architecture behind today’s generative systems.

    AttentionTransformersLLMs
  4. 04

    AI applications

    Connect models to knowledge and product experiences.

    EmbeddingsRetrievalApplication patterns
  5. 05

    Evaluation and responsibility

    Build systems that can be tested, monitored, and improved.

    EvaluationGuardrailsDeployment
04 · PUT IT INTO PRACTICE

Build and evaluate an AI assistant

Create a retrieval-based assistant, ground it in a useful knowledge set, and measure the quality of its answers.

WHAT YOU’LL CREATE

A working retrieval pipeline

A focused evaluation set

An improvement and safety report

05

Choose how you want to learn

Start with the same practical roadmap, then choose the level of guidance and career support that fits your goal.

Build the essentials

Foundation

A structured sequence of concepts, guided practice, and a focused capstone.

Learn with guidance

Mentor-led cohort

Live sessions, mentor office hours, project feedback, and a peer learning group.

Prepare for your next role

Career accelerator

Deeper projects plus portfolio, profile, and interview preparation.

Build capability together

Team academy

Role-based training, live workshops, and an applied project for your organisation.

KEEP EXPLORING

Next learning path

Data Science
Ready to start this path?

Tell us where you are and we’ll help you find the right place to begin.