Become fluent in AI.
No coding required

Develop the skills to effectively partner with data scientists, work with AI applications, evaluate their efficacy, and help shape your organization’s AI strategy

You don't need to be a data scientist to work with data

There is a rapidly growing awareness that the coming ‘AI Revolution’ will fundamentally transform the workplace.

This course aims to help anyone - particularly those without a background in programming or statistics - develop the skills they need to become ‘AI literate’.

It makes heavy use of analogies and practical examples, with a particular focus on empowering line-of-business managers, analysts, marketers, executives, and other working professionals who will work with – and help design and implement - AI solutions. The authors have a track record of producing highly engaging and accessible introductions to complex subjects.

This course is a guide to what you need to know about AI to partner with data scientists, work with AI applications, evaluate their efficacy,
and help shape your organization’s AI strategy.

FOR EVERYONE

GET MODULE 1
ABSOLUTELY FREE

FOR EMPLOYERS

Learn how forward thinking organizations are helping their employeEs become fluent in AI

No code. No complex
math or statistics

Entirely self-paced,
online course

100% money back guarantee or 30 days

The Lucid Analytics Project's research into the ethical and effective use of AI has been sponsored, published, or covered by:

...and referenced in multiple academic papers, including work conducted by the European Parliament, the Bank of England, and the World Economic Forum in conjunction with Ernst & Young and the University of Cambridge. 

You will gain an understanding of:

  • Why AI applications are transforming the workplace
  • What AI can – and can’t - do
  • The differences and relationships between AI, machine learning, and data science
  • The role machine learning plays in powering AI - including supervised, unsupervised, reinforcement, and deep learning
  • The core concepts behind machine learning - including training, testing, algorithm design, models, and predictions
  • Understand what it is data scientists and other technical professionals are actually doing when they build AI applications - and how they do it

You will learn to:

  • Effectively partner with data scientists - and to do so on an equal footing
  • Call bullshit and separate hype from reality
  • Challenge the claims made by data scientists and AI vendors
  • Anticipate the ethical concerns and risks that AI applications may pose
  • Effectively evaluate predictions made by AI applications, without succumbing to blind faith or confirmation bias
  • Apply a framework that will give you the confidence to assess how, when, and whether to trust a machine

This course is for you, if:

You need something that is designed and structured for professionals who are already established in their careers

You need something catered towards an audience without a background in programming or statistics

You need something that is approachable and engaging, but not oversimplified

You don’t have months or years to reskill, nor do you have an unlimited budget

You need something that provides you with a deep and robust understanding of the fundamentals of machine learning, AI, and the broader field of data science - but you don't want to get bogged down in code or complex mathematical equations 

Keyur Patel and Marshall Lincoln provide a very clear introduction
to the core concepts of AI

Eoin Woods

Chief Technology Officer, Endava

From the sponsors' foreword to our research: It's not magic: weighing the risks of AI in Financial services

Who is this course for?

Any non-technical professional who is interested in learning more about AI, machine learning,
and data science - and would like to know how they can contribute to this field.

More specifically: The course is for working professionals without a background in computer science or statistics, who want to develop the skill sets to compete in an economy where a working familiarity with the fields of data science, machine learning, and AI is increasingly essential.

Take the first module
completely free

Become fluent in AI.
No coding required!

Check out the answers
to popular questions

You don't have to start from scratch.
Learn to leverage your skills

The AI revolution doesn’t have to be something that happens to you. It is a wave that is barreling toward us. If you do nothing, you risk letting it wash over your career, and render your skills irrelevant.

Or you can catch the wave. And catching is easier than you think. It doesn’t require a background in programming or statistics. You can learn to leverage your own experience and expertise to influence data science projects, contribute to their success, and provide tangible value to your organisation. In the process, you’ll make yourself more marketable to future employers.

In concrete terms, what will you actually be able to do, how can you help, and how much value can you provide?

First, you will be able to effectively partner with data scientists - and to do so on an equal footing.
Second, you will be able to call bullshit and separate hype from reality.
Third, you will be able to anticipate the ethical concerns and risks that AI applications may pose.
Fourth, you will gain the confidence to assess how, when, and whether to trust a machine.

This all may seem outside your wheelhouse. It isn’t. The skills you need to develop are not fundamentally difficult.
They aren’t particularly time consuming. They don’t require a specialized educational background. But they are necessary.


How do you know what to learn, and where to start?
And how much time do you actually need?

My name is Marshall Lincoln, and I’m a data scientist. I’ve worked with data scientists and hired and managed
data science teams. Together with my company’s co-founder, Keyur Patel, we have worked with international
blue-chip organisations and authored incisive research into the responsible and effective use of AI. Our research
and my own experience has led us to the conviction that far too few people understand data science.

That’s why we’ve created Fluent in AI: a comprehensive and engaging online course designed to
help non technical business professionals develop the skills they need to successfully partner with data scientists, work with machine learning applications, and help shape their organizations' AI strategies.

We believe this entirely online, self-paced, and professionally produced course
is all you need to start your journey
This course contains all the knowledge that I wish every analyst, marketer, salesperson, manager, executive, or other stakeholder I have worked with could have had access to.

30-Day Money Back Guarantee

We are extremely confident in the value provided by  this course, in its practicable applicability and usefulness, and in its quality of production. We believe the vast majority of participants will be highly satisfied. However, if for any reason you are not satisfied with this course, you can request a full refund anytime within 30 days after your purchase. If you have any issues, just get in touch with our friendly support team and they'll give you a swift refund.

30 Days


MONEY BACK GUARANTEE

This course is NOT:

  • Bogged down in complicated code you will never need to write
  • Time wasted on complicated or confusing details unnecessary for you to learn
  • Code, complicated statistics and unneccessary IT jargon             
  • HYPE HYPE HYPE 
  • Focused on bleeding edge models that are unnecessary for the majority of use cases
  • Boring, dry, ‘academic’

This course IS:

  • A broad and sufficiently deep overview of what, why, who, & how
  • Specific and consistent focus on how you, specifically, can contribute
  • Approachable, straightforward, and written in plain English
  • Pragmatic, sober, and directly applicable to your job
  • A practical view into how data science projects are implemented at the vast majority of companies
  • Interesting and designed to keep you engaged

About course

This is the course I wish every one of my business partners, stakeholders, analysts, and management team could have
had access to.

This fills a painful gap I know all too well.

Course Details

This self-paced, online course is composed of 12 modules – grouped into 4 sections,
plus
a primer (module 1) and a guide to next steps (module 12).

The course contains a number of supplemental materials, guides, and worksheets available for download and future reference.


Participants should expect that the course will take
12-16 hours
to complete.

Part 1: How and why AI will transform
the future of work

2:51 hours of video

14 lessons

  • Module 2: AI’s workplace applications: an intuitive introduction
  • Module 3: Beyond the hype: opportunities, risks, and the future of work
  • Module 4: Bridging the skills gap: why your domain knowledge matters

Part 2: Artificial intelligence and machine learning: what do you need to know?

2:43 hours of video

10 lessons

  • Module 5: The big picture: thinking clearly about AI, machine learning, and data science
  • Module 6: Demystifying machine learning: a code-free introduction to the technical principles

Part 3: The anatomy
of an AI project

1:34 hours of video

8 lessons

  • Module 7: Inside data science teams: who develops AI applications?
  • Module 8: How it’s built: machine learning project workflows

Part 4: How to help shape your
organisation’s AI strategy

4:16 hours of video

23 lessons

  • Module 9a: Partnering with data science teams: why they need you – and how you can help
  • Module 9b: Error metrics and evaluation criteria: getting it wrong in the right way
  • Module 10: AI ethics and risks: rogue machines or bad design?
  • Module 10: Interpreting AI outputs: When can you trust a machine?

Take the first module and learn what role YOU can play
 absolutely free

In Module 1, we tackle the ambiguity around AI, dispel common misconceptions, and help demystify what it means in the workplace. We hope to convince you that you have an important role to play in your organization’s AI strategy.

Create a free account and start your journey today.

FAQ

WHO IS THIS COURSE DESIGNED FOR?

Any non-technical professional who is interested in learning more about AI, machine learning, and data science - and would like to know how they can contribute to this field

More specifically: The course is for working professionals without a background in computer science or statistics, who want to develop the skill sets to compete in an economy where a working familiarity with the fields of data science, machine learning, and AI is increasingly essential.

This includes - but is not limited to - analysts, marketers, salespersons, managers, executives, or other stakeholders who regularly work with data.

What if I don’t have a background in computer science or statistics? Do I need to be a ‘techie’ to understand this content?

No! This course has been specifically designed to be accessible - and immediately relevant - to working professionals who do not have prior experience in programming or machine learning.

You don’t even need to be particularly good with computers. The central idea behind this course is that you can leverage your existing skill set to directly contribute to data science projects, without spending months or years developing new technical skills or writing a single line of code.

Other professional development courses of this length and caliber can usually cost 850-1500 dollars. Why are you only charging $197?

While we could charge much more than we do, it is our mission to help as many people as possible become fluent in AI. Our research and my own experience has led us to the conviction that far too few people understand data science. This field is too important to be left to a small number of technical experts alone. That’s why we’re offering this course for only 197 dollars - so anyone with an interest can take it, regardless of budget.

What if I buy this course and it is not what I am looking for? | Is there a money-back guarantee?

We offer a 30-day, 100% money-back guarantee. If for any reason, find this course is not for you, we will refund the full cost of the course.

Why doesn’t this course teach me how to implement ml or build ai models - why don’t you teach me how to code?

The world needs more non-technical people who are fluent in AI.

There is a tremendous need at nearly every organization for people who know how to leverage their existing experience and skill sets to partner with data scientists. Yet, only a very small proportion of working professionals who can do so. We believe this presents you with a tremendous opportunity to differentiate yourself and increase your market competitiveness, with a relatively small investment of your own time and energy.

Our own experience and research into the responsible and ethical use of AI - informed by industry practitioners, data scientists, technology providers, consultants, regulators, and academics - has left us convinced that there is an urgent shortage of people on the business side who know how to partner with the technical people building AI applications.

There are a ton of courses on machine learning - what makes this one different?

If you have lots of time on your hands and want to change career entirely, you may want to learn to build AI applications. However the claims others sometimes make that you can learn machine learning in 30 days and suddenly get a job as a data scientist are unrealistic. 

We believe that what you can accomplish in a month is to gain a deep understanding of the fundamental principles behind machine learning, become familiar with the processes and methodologies that data scientists use to build AI applications, and learn how to leverage your existing skill sets to make meaningful contributions to data science projects.

How long should I expect this course to take to complete?

The course contains four parts, 12 modules, and 11.5 hours of video content across 55 lessons. It also comes with free and downloadable supplemental materials. We’ve designed it so that you can tackle one part a week, and complete it in less than a month. But nothing would prevent you from completing it much faster, if you're so inclined.

Does this course have an agenda? Are you trying to sell a particular company’s products or services?

Much of the education one can find in the fields of machine learning and data science is sponsored or created by organizations that want to push their own products or services. The idea is that by teaching you how to do data science using their own tools, you’ll become dependent on them to perform your work in the future. 

We have no interest in promoting any third-party products, technologies, or organizations. Our only motivation is to help as many possible become fluent in AI and become effective partners with data scientists, and users of AI.

Some experts say ‘AI’ doesn’t really exist yet - and true AI may be years away. So how can I be ‘Fluent in AI’?

Whether or not ‘AI’ exists today depends on how you define it. The important thing is that a suite of technologies and methodologies are poised to transform every aspect of the global economy. Whatever you call them, it is important that you should know how they work, how they are built, and how to work effectively with them.

We built this course because, as a leader of data science projects and teams, this is the course I wish every one of my business partners, stakeholders, analysts, and management team could have had access to.

This fills a painful gap I know all too well.

Marshall Lincoln

Chief Data Scientist, Fluent in AI

Ready to become fluent in AI?