How you’d get it

How you’d get this certificate

  1. Zavmo teaches you. You learn the units one-to-one with an AI tutor, on your own work.
  2. You register with an approved centre. That is a college, training provider or employer Qualifi Ltd has approved to offer this qualification. Zavmo is not an approved centre, so you register with them, not with us.
  3. The centre assesses, and Qualifi Ltd awards. A qualified assessor at the centre judges your evidence, and the certificate comes from Qualifi Ltd.

More on studying for a qualification

01What it is

Aimed at digital technology practitioners, the Qualifi Level 5 Diploma in AI is a vocationally-related qualification. It allows learners to develop skills in areas such as computer vision, reinforced machine learning, and human-AI interaction. Advanced deep machine learning is also covered.

These are the units Qualifi Ltd registers against this qualification. It is a catalogue, not a syllabus. Which of them you take depends on the combination the qualification requires, and that is set by the awarding body rather than by us. Every unit here is regulated. Zavmo teaches towards them on your own work, and work done here is recognised as prior learning under the agreements we hold.

Zavmo is not an awarding body, is not an approved centre, and is not affiliated with Qualifi Ltd. It does the teaching and the mapping. Qualifi Ltd sets this qualification and awards it, and a qualified human assessor makes the assessment decision.

Free first step

Try a free Future Fluency lesson first

The free part is a Future Fluency lesson on using AI at work. It is not part of this qualification. Next, a free account. We build your plan for this qualification as you set up. Teaching towards this qualification begins when you subscribe.

No card · Nothing to commit to

02The units

What each unit actually teaches you to do

Advanced Deep Machine Learning Real unit · Qualifi Ltd
It teaches you to review advanced theories and concepts in deep machine learning. You'll understand complex neural network architectures, techniques to enhance model performance, and applications in natural language processing and reinforcement learning.

What you'll be able to do

  • Review contemporary theories and concepts related to advanced deep machine learning
  • Understand advanced neural network architectures and their specific applications
  • Use different techniques to improve the performance of deep machine learning models, such as hyperparameter tuning and regularisation
  • Apply deep machine learning models to Natural Language Processing (NLP) tasks
  • Apply deep machine learning models to Reinforced Machine Learning (RML) problems
Human-AI Interaction Real unit · Qualifi Ltd
You'll explore key theories and concepts in human-AI interaction, including ethical considerations. The unit covers explainable AI techniques that incorporate human factors and cognition, alongside design principles for collabourative human-AI systems.

What you'll be able to do

  • Understand key theories and concepts in the field of human-AI interactions
  • Carry out explainable AI techniques, taking into consideration human factors and cognitive processes
  • Understand design principles for collaborative systems involving both humans and artificial intelligence
Introduction to Computer Vision Real unit · Qualifi Ltd
This unit introduces learners to computer vision principles and applications. You'll develop skills in object recognition, image segmentation, and the use of deep learning models within computer vision pipelines.

What you'll be able to do

  • Understand the key concepts and fundamental principles underpinning computer vision
  • Perform object recognition tasks using computer vision techniques
  • Perform image segmentation to isolate and classify different regions within an image
  • Apply deep learning models effectively in computer vision applications
Natural Language Processing Real unit · Qualifi Ltd
You'll gain an understanding of fundamental natural language processing (NLP) concepts. The unit includes using NLP libraries and frameworks for text representation and applying NLP techniques such as sentiment analysis.

What you'll be able to do

  • Understand fundamental concepts in Natural Language Processing (NLP).
  • Use NLP libraries, frameworks, and other tools in text representations.
  • Use NLP methods and techniques to carry out sentiment analysis.
Reinforce Machine Learning Real unit · Qualifi Ltd
You'll study key concepts and theoretical foundations of reinforcement machine learning. The unit includes applying reinforcement learning algorithms, using relevant libraries and frameworks, and analysing algorithmic results.

What you'll be able to do

  • Understand the key concepts and theoretical underpinnings of reinforced machine learning
  • Apply reinforcement machine learning algorithms to solve specific problems
  • Utilise relevant libraries and frameworks for implementing reinforcement machine learning solutions
  • Analyse the results and performance of reinforcement machine learning models to optimise their effectiveness
Visualisation Real unit · Qualifi Ltd
This unit focuses on the role of data visualisation in business intelligence. You'll prepare data for visualisation, select appropriate visual representations for decision-making, and present visualisations using relevant tools.

What you'll be able to do

  • Understand the importance of data visualisation in business intelligence.
  • Carry out data preparation for visualisation.
  • Use different visual representations for decision-making.
  • Present visualisations using appropriate visualisation tools.
03The standards

The national standards these units are built against

What the job actually needs, in the words employers and awarding bodies already use for the work itself.

  • Assist in developing data visualisations

    Standard
  • Develop and communicate data visualisations

    Standard
  • Produce data visualisations to support business insights

    Standard
  • Visualise and interpret the results of computational analysis of life science data

    Standard
04Where it leads

The jobs these credits are mapped to

A qualification is never a dead end here. Each of these is a job record this qualification is a mapped route into.

Showing 6 roles, drawn from 190 job records mapped to this qualification. Near-identical records are folded together, and each row says how many it stands for.

Where this can lead

Associate Deep Learning Specialist

This work can lead to a senior specialist role leading full projects, or to a lead engineering or research role setting technical direction.

See the whole journey
05The credits

The credits, and who awards them

Level 5 credits are regulated, and they are awarded by Qualifi Ltd rather than by Zavmo. They don’t vanish when a subscription ends or a website closes. They travel to any employer, and Zavmo keeps the map of what you have covered and what is next.

What you would be collecting

Advanced Deep Machine LearningHuman-AI InteractionIntroduction to Computer VisionNatural Language ProcessingReinforce Machine LearningVisualisation

Each one is a real unit registered against this qualification.

How you’d practise it

You don’t watch this. You do it.

You are not assessed on remembering this. You are assessed on applying it, analysing it, evaluating it and producing something. So that is what the practice is: projects, role play and your own live cases, with a tutor in the room.

The Coach The Coach · your practice partner Illustration
The Coach Rather than work through “Advanced Deep Machine Learning” in the abstract, bring me the piece of it you are dealing with this week.
You I have got the write-up due Friday and I have not started it.
The Coach Then that is the lesson. Tell me what it has to say, and we will get the shape of it down before we worry about the words.
The same lesson on the real thing: the conversation in the middle, the thinking ladder on the left, and the criteria each answer is evidencing on the right.
  • Bring the real thing Apply

    “Advanced Deep Machine Learning” is taught against the work in front of you rather than a worked example. You bring what you are doing this week and it becomes the practice.

What you leave holding

The standards this credential builds, in the shape the product keeps them

Nothing here is marked learned. There is no learner on a public page, so the map shows what the qualification covers rather than what anybody has done.

See Your Progress Grow Illustration
Qualifi Level 5 Diploma in AI
  • Assist in developing data visualisations
  • Develop and communicate data visualisations
  • Produce data visualisations to support business insights
  • Visualise and interpret the results of computational analysis of life science data
This is your Mind Palace on learn.zavmo.ai. Every skill above comes from this role's own record, not an example borrowed from another job. A node lights up when you evidence it, and what you build stays yours between jobs. That is the part a course cannot do.

How you would learn this

One to one, on the work you already do

A tutor sets the task against your own job and marks the reasoning, at your pace. There is no cohort to fall behind.

A lesson from Advanced Deep Machine Learning, one of this qualification's own units.

Advanced Deep Machine Learning Level 5

Applied to your work in any of these jobs

This unit enables learners to review advanced theories and concepts in deep machine learning. Learners will understand complex neural network architectures, techniques to enhance model performance, and applications in natural language processing and reinforcement learning.

How the thinking builds
  1. 1 Remember
  2. 2 Understand
  3. 3 Apply
  4. 4 Analyse
  5. 5 Evaluate
  6. 6 Create
An illustration of a Zavmo lesson, built from this role’s own route. The unit, its objective and every criterion above are the awarding body’s own words, not an example.

It is £70 a month, billed monthly. Your free first module is Future Fluency, and you can cancel any time. Teaching towards this qualification begins when you subscribe.

Your Plan Illustration

Built for Qualifi Level 5 Diploma in AI

6 units in this credential, in the order it lists them, awarded by Qualifi Ltd.

  1. Advanced Deep Machine Learning
  2. Human-AI Interaction
  3. Introduction to Computer Vision
  4. Natural Language Processing
  5. Reinforce Machine Learning
  6. Visualisation
These are the real units of this credential, in its own order. Nothing here is marked done, because this plan has not been started by anyone yet. Yours would fill in as you go.

Free tools

Want a read on where you stand?

Three free tools, no account needed. Each one ends with a role, a level and a way in.

Learned on your own work, taught one-to-one.

Everything you just read, learned one-to-one on the job you already do. Your free first module is Future Fluency, so you can see how the teaching works before you pay for anything.

Build my plan, free

No card. See how this qualification maps onto your role and meet the tutors who’d teach it, free. The learning begins when you subscribe. It’s £70 a month, billed monthly. Cancel any time and billing stops.

The title, level, credits, guided learning hours and unit learning outcomes on this page are taken from the Ofqual Register of Regulated Qualifications. Contains public sector information licensed under the Open Government Licence v3.0. Where this data comes from.