CNSLT / AI ACADEMY

LEARN AI.MAKE IT WORK.

Build practical AI skills, create working projects, and learn to test, secure and govern the systems you use.

UNDERSTANDBUILDTESTGOVERN
LESS PASSIVE WATCHING. MORE APPLIED LEARNING.KNOW IT · BUILD IT · PROVE IT
THE CNSLT LEARNING METHOD

From knowing AI
to doing the work.

AI capability is more than knowing the terminology. Learn how systems work, build with them, test their limits and make informed decisions about their use.

02 / MAKE

Build useful systems

Turn concepts into workflows, applications and AI-powered tools you can explain.

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03 / CHALLENGE

Test what can go wrong

Use structured tests to expose weaknesses, evaluate behaviour and improve reliability.

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04 / GOVERN

Govern with evidence

Translate technical understanding into risk assessments, controls and accountable decisions.

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PROGRAMMES & SPECIALISATIONS

Choose your
next capability.

Start with the fundamentals or go straight to the discipline you need. Each path is built around practical skills and applied work.

EXPLORE THE ACADEMY

6 specialisations · 1 capstone
FOUNDATIONS

Prompt Engineering & LLM Mastery

Prompt design, context management, structured outputs and LLM evaluation

PRACTICAL LEARNING PATH
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SECURITY

AI Security & Red Teaming

LLM security testing, prompt injection, adversarial evaluation and mitigation

PRACTICAL LEARNING PATH
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AI OPERATIONS

Data Annotation & AI Training

Data labeling, annotation quality, evaluation rubrics and dataset review

PRACTICAL LEARNING PATH
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GOVERNANCE

AI Governance & Compliance

AI risk assessments, control mapping, policy review and governance frameworks

PRACTICAL LEARNING PATH
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CAREER DEVELOPMENT

Career Switch to AI in 90 Days

AI portfolio projects, role mapping, practical skills and job-search preparation

PRACTICAL LEARNING PATH
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APPLIED AI

Build AI Agents & Automations

AI workflows, tool use, API integrations and agent evaluation

PRACTICAL LEARNING PATH
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