A.I. UpSkilling

Artificial Intelligence for the whole workforce

Contact Us
5/5

Noel - Data Analyst

"A thoroughly engrossing course. Practical and relatable. We got to try out all the latest Artificial Intelligence and I will be using it now for my job. Highly recommended"

FEATURES

All FEATURES

Empower staff to
engage with AI

Learn everyday
Productivity hacks with AI

Democratise AI
across your workplace

Build AI awareness and confidence so staff can grow in their roles

Augment AI into
non-technical roles

  • Teach non-technical staff­ how to harness Ai in the workplace
  • One Day, face-to-face, hands-on training
  • Guaranteed increases in productivity. No prior Ai or technical knowledge necessary
  • Unlock your organisation’s creative potential and seize new business opportunities with Ai
  • Embed Ai thinking into your business and position your workforce on the right side of the Ai divide
  • Accelerate your Ai adoption now.

YOUR TUTORS

AI and Data
Science Directors

Decades of experience in corporate transformation and change

Creative consultants to IT, finance, media, recruitment, film, TV industries

ONE DAY COURSES

A.I.
Basics

£495

Details

A.I.
Awareness

£595

Details

A.I. Empowerment
for Productivity

£695

Details

A.I.
Core Code

£795

Details

A.I. Large
Language Models

£795

Details

A.I.
The Cutting Edge

£895

Details

A.I. Ethics and Responsibility

£895

Details

9:15 am

The new digital divide: AI and Us

9:30 am

Outcomes for the course

10:00 am

How Does AI work

10:45 am

The 4 types of AI

11:30 am

Designing an AI workshop

2:30 pm

Revisit our AI design, assessment

3:00 pm

Augmenting AI awareness into your job

3:30 pm

AI is all around. Finding and using free AI on your desktop, online and in the office

4:00 pm

Productivity gains from AI and your next steps

4:30 pm

Outcomes revisited, final assessment,

4:45 pm

Takeaways, homework, AI empowerment back in your office

BENEFITS

Increase workforce productivity

Improve staff retention and job satisfaction

Increase worker creativity and problem solving

Improve technical literacy, awareness and engagement
in the real world

Improve technical literacy, awareness and engagement in the real world

Accelerate your organisation’s Ai adoption

Since 2005

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What Client Say About Us

Abbi Finnegan CEO, A Startup

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Marianna Dudley Co-Founder HCM

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Henley Burch Entrepreneur

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5/5

Noel - Data Analyst

"A thoroughly engrossing course. Practical and relatable. We got to try out all the latest Artificial Intelligence and I will be using it now for my job. Highly recommended"

BOOKINGS & CONTACT US

Phone

07796-343418
0208-942 2625

Email

contact@ai-training.co.uk

Website

ai-training.co.uk

Overview

This 1-day course will enable you to better understand what Artificial Intelligence is, including fundamental use cases and applications. At the end of the course you’ll be able to use a number of Artificial Intelligence applications on your desktop/laptop. Courses are limited to maximum 8 attendees.

Target Audience

Aimed at people who are completely new to Artificial Intelligence. We will gently introduce you to the main terms and uses of A.I. in a friendly and non-technical manner.

Prerequisites

No prior A.I. or technical knowledge required.

Learning Outcomes

At the end of this course attendees will know:

  • The fundamentals of Artificial Intelligence, big data and automation
  • The four types of A.I. and how they overlap to become multi-modal
  • How A.I. is becoming part of all business tasks, products and services

At the end of this course attendees will be able to:

  • Interact with an advanced large language model to generate product and service ideas
  • Replace two aspects of your everyday job with A.I. assistance and creativity
  • Generate your own data sets using a free advanced A.I.

Course Outline

  • The new digital divide
  • How A.I. actually works
  • The four main types of A.I.
  • Augmenting A.I. into your job
  • Responsible A.I. to protect your organisation, your community and society.

Overview

This 1-day course will enable you to better understand what Artificial Intelligence is, including the fundamental practices and principles. At the end of the course you’ll be able to use a number of Artificial Intelligence applications on your desktop for measurable increases in productivity. Courses are limited to maximum 8 attendees.

Target Audience

Aimed at people who have a limited understanding of Artificial Intelligence but want to understand the key terms and use cases in the office and in society. Offers quick-win productivity hacks that can bring AI into your daily jobs.

Prerequisites

No specific technical knowledge required

Learning Outcomes

At the end of this course attendees will know:

  • The fundamentals of Artificial Intelligence, big data and algorithms
  • The basic mathematics behind A.I. models and algorithms
  • The four types of A.I. and how they overlap and are becoming multi-modal
  • Responsible A.I. and it’s importance to all organisations

At the end of this course attendees will be able to:

  • Design an A.I. model (no-code approach)
  • Explore a large language model to generate product and service ideas
  • Replace four aspects of your everyday job with A.I. assistance

Course Outline

  • The history of digital divides and how A.I. is different
  • How does A.I. actually work behind the scenes
  • The four main types of A.I.
  • Designing an A.I. – workshop (no code)
  • Augmenting A.I. into your job for productivity
  • Responsible A.I. and risks to ourselves and society

Overview

This 1-day course will enable you to better understand what Artificial Intelligence is, including the fundamental practices and principles. At the end of the course you’ll be able to use a number of Artificial Intelligence applications on your desktop to increase your productivity and creativity at work. Courses are limited to maximum 8 delegates.

Target Audience

Aimed at workers who have some understanding or curiosity about Artificial Intelligence but want quick-win productivity hacks that can bring tangible AI benefits to their daily jobs.

Prerequisites

No specific technical knowledge required

Learning Outcomes

At the end of this course attendees will know:

  • The fundamentals of Artificial Intelligence, big data and algorithms
  • The basic mathematics behind A.I. models and algorithms
  • The four types of A.I. and how they overlap and are becoming multi-modal

At the end of this course attendees will be able to:

  • Replace four everyday work tasks with A.I. assistance and creativity
  • Design an A.I. model via a no-code approach
  • Generate product and service ideas using a free leading edge large language model

Course Outline

  • The new digital divide
  • How does A.I. actually work?
  • The four types of A.I.
  • Designing an A.I. – workshop
  • Augmenting A.I. into your job
  • Productivity gains from A.I.
  • Responsible A.I. and risks to your organisation and society

Overview

This 1-day course will demonstrate the main design frameworks in machine learning and how they empower leading edge use cases in Artificial Intelligence. At the end of the course you’ll be able to run Colab workbooks, OpenAI APIs and cloud machine learning models as the basis for advanced applications. Courses are limited to maximum 6 attendees.

Target Audience

Aimed at data scientists, data analysts and engineers who have some understanding of machine learning languages (ideally Python) but want to accelerate their command of code, ML libraries, frameworks and APIs in order to take advantage of the very latest technical advances.

Prerequisites

A working knowledge of python, javascript or API configuration

Learning Outcomes

At the end of this course attendees will know:

  • The fundamentals of Artificial Intelligence, big data and algorithms
  • The basic mathematics behind A.I. models and algorithms
  • The four types of A.I. and how they overlap and are becoming multi-modal

At the end of this course attendees will be able to:

  • Design an A.I. model
  • Configure a large language model API to suit own organisation’s use cases
  • Design four APIs to augment A.I. assistance back in your organisation

Course Outline

  • Latest ML and AI APIs
  • Multi-modal A.I. frameworks
  • Commercial implications of the LLM API model
  • Cloud explainability, bias and transparency
  • Responsible A.I. and the risks to our organisations and society

Overview

This 1-day course will demonstrate and critique the latest large language models (including GPT-3 and ChatGPT), their size, accuracy, costs and commercial potential.  At the end of the course you’ll be able to articulate the design implications of proximal policy optimization and reinforcement learning and how these impact NLP use cases. Courses are limited to maximum 6 attendees

Target Audience

Aimed at staff who have a working knowledge of A.I. text generation, or data scientists, data analysts and engineers who want to accelerate their command of NLP and LLMs to take advantage of the very latest technical advances in language understanding and generation.

Prerequisites

A basic understanding of machine learning text generation

Learning Outcomes

At the end of this course attendees will know:

  • The code and mathematics behind A.I. large language models and algorithms
  • How LLMs are trained and retrained
  • How LLMs overlap with other models to become multi-modal

At the end of this course attendees will be able to:

  • Create, edit and re-edit accurate prompts to refine quality and quantity of language generation
  • Curate large language models to generate credible and specific product and service text
  • Replace four aspects of everyday language generation with an A.I. equivalent or better

Course Outline

  • Recent advances with LLMs
  • LLMs and integration with multi-modal A.I.
  • How LLMs are trained with reinforcement learning
  • LLM APIs and commercial application – workshop
  • Augmenting NLP A.I. into everyday applications and job tasks
  • Productivity gains from LLMs
  • Responsible A.I. and risks to ourselves and society with LLMs

Overview

This 1-day course will highlight the latest advances in the world of A.I., including Autonomous Agents & Multi-Agent Systems, Evolutionary Computation & Genetic Algorithms, Knowledge Representation and Reasoning. At the end of the course you’ll know the key research and commercial advances in theoretical and applied Artificial Intelligence. Courses are limited to maximum 6 attendees.

Target Audience

Aimed at people who have a working knowledge of A.I. coupled with a curiosity about leading edge advances in the field of A.I.

Prerequisites

A working knowledge of python or machine learning models

Learning Outcomes

At the end of this course attendees will know:

  • The main research and development organisations in the field of A.I.
  • Which advanced A.I. products, services and APIs are due for release
  • The three most ground-breaking A.I. releases planned for the next two years

At the end of this course attendees will be able to:

  • Explain the underlying technology stack in the latest available A.I.
  • Curate the latest LLM prompts and LLM APIs
  • Replace four aspects of your everyday job with the latest A.I. models

Course Outline

  • Global A.I, research and development
  • The new A.I. tech stack
  • Important new use cases
  • Dangerous new use cases
  • Augmenting A.I. into your organisations
  • The Human-A.I. interface
  • Responsible A.I. and risks to ourselves and society

Overview

This 1-day course will enable you to appreciate the complex nature of fairness, privacy and transparency in A.I. At the end of the course you’ll be able to identify the corporate, legal and societal implications of this radical new technology. With the help of a case study you’ll be challenged to judge how far your ethical framework should stretch in light of commercial and stakeholder pressures. Courses are currently limited to maximum 8 attendees. Recommended for delegates all from the same organisation.

Target Audience

Aimed at product managers and technical managers releasing (or planning to release) public-facing A.I. applications from the U.K. who want to understand their ethical responsibilities in light of fledgling legislation in the U.K and Europe.

Prerequisites

An appreciation of machine learning and cloud architectures

Learning Outcomes

At the end of this course attendees will know:

  • An outline of current A.I. legislation
  • A framework for questioning responsible A.I. development and deployment
  • The key issues of fairness, privacy and transparency

At the end of this course attendees will be able to:

  • State an ethical framework and the trade-offs for A.I. products and services
  • Describe bias in models, industries and societies
  • Scan your organisation for A.I. / ML consequences

Course Outline

  • What is R.AI
  • Bias in society and machine learning models
  • Current legislative frameworks
  • Organisational decisions and frameworks
  • Sustainability and model emissions
  • Strategies for developing and maintaining responsible A.I. systems
  • Responsible A.I. and the wider risks to ourselves and society