Top AI training review: Google’s Machine Learning Crash Course

What is Google’s Machine Learning Crash Course?
Google’s Machine Learning Crash Course
is part of the Google push to make AI available to all – a 15-hour introduction to machine learning.

Is Google’s Machine Learning Crash Course for experts or beginners?
Though you should be pretty familiar with maths (stats, algebra and maybe some calculus) and computers, Google’s Machine Learning Crash Course is otherwise a course you could walk straight into off the street.

Is Google’s Machine Learning Crash Course expensive?
Google’s Machine Learning Crash Course
is completely free, and part of Google’s plan to roll out their software to the general public.

What are the benefits of Google’s Machine Learning Crash Course?
Google’s Machine Learning Crash Course
will get you familiar with TensorFlow, the free Google AI library.
Google’s Machine Learning Crash Course
uses case studies from the real world.
Google’s Machine Learning Crash Course
offer video lectures from Google researchers.
Google’s Machine Learning Crash Course
is just one of an increasing number of free courses being offered by Google.

What is Google’s Machine Learning Crash Course not so good at?
Google’s Machine Learning Crash Course
is Google, and teaches through TensorFlow, which is also Google. So although it’s free… it’s all Google, and that may be a problem for some.

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Top AI training review: MIT’s Deep Learning for Self Driving Cars

What is MIT’s Deep Learning for Self Driving Cars?
MIT’s Deep Learning for Self Driving Cars
is a free lecture that tries to introduce the concept of AI in 90 minutes through the reality of the self-driving car .

Is MIT’s Deep Learning for Self Driving Cars for experts or beginners?
MIT’s Deep Learning for Self Driving Cars
is very accessible to the beginner, with nothing in the way of complex maths or coding.

Is MIT’s Deep Learning for Self Driving Cars expensive?
MIT’s Deep Learning for Self Driving Cars
is available online completely free of charge, as long as you don’t turn up on MIT’s doorstep asking for a degree anytime later.

What are the benefits of MIT’s Deep Learning for Self Driving Cars?
MIT’s Deep Learning for Self Driving Cars
is a nice way to get your head around the concept of AI.
MIT’s Deep Learning for Self Driving Cars
uses a real-world example we are mostly familiar with – the car and driving – to show us what AI can and can’t do.
MIT’s Deep Learning for Self Driving Cars
is a video lecture with plenty of visual back-up.

What is MIT’s Deep Learning for Self Driving Cars not so good at?
MIT’s Deep Learning for Self Driving Cars
is not there to teach you how to actually do  anything with AI, but then it doesn’t claim to be.

How popular is MIT’s Deep Learning for Self Driving Cars?
MIT’s Deep Learning for Self Driving Cars
had nearly 44,288 views at time of writing.

Top AI training review: Artificial Intelligence MicroMasters

What is Artificial Intelligence MicroMasters?
Artificial Intelligence MicroMasters
is an AI ‘mini-degree’ offered by Colombia University, which you carry out through the edX web portal. You have 2 years to complete, and the university estimates it will take you around 1.

Is Artificial Intelligence MicroMasters for experts or beginners?
Counting as 25% of the Colombia Master’s degree in Computer Science, should you wish to go that way, Artificial Intelligence MicroMasters by implication assumes at least an undergraduate knowledge of the subject.

Is Artificial Intelligence MicroMasters expensive?
You can try it out for free, but the full Artificial Intelligence MicroMasters with credential will set you back £686 sterling – at the exchange rate at time of publishing – which is not exactly pocket change.

What are the benefits of Artificial Intelligence MicroMasters?
Artificial Intelligence MicroMasters
boasts worldwide recognition, including firms like GE, IBM, Volvo, Ford, Adobe and PwC.
Artificial Intelligence MicroMasters
will give you a good grounding in the nuts and bolts of AI.
Artificial Intelligence MicroMasters
gives learners a chance to apply the theory to practical real-world areas such as robotics, vision and physical simulation.
Artificial Intelligence MicroMasters
teaches neural network design.
Artificial Intelligence MicroMasters offers a Machine Learning option.

What is Artificial Intelligence MicroMasters not so good at?
Artificial Intelligence MicroMasters
is not so good on brevity. They offer pretty comprehensive knowledge, but this is at least a year out of your life.

How popular is Artificial Intelligence MicroMasters?
Artificial Intelligence MicroMasters
has the approval of some of the big fish in industry, and Colombia has a certain cachet.

Top AI training review: NVIDIA Deep Learning Specialization

What is NVIDIA Deep Learning Specialization?
NVIDIA Deep Learning Specialization
promises its qualification will allow you to break into AI. The course is estimated (self-estimated, to be fair) to take 3 months at a pace of 11 hours a week, but you can of course go faster or slower if you want. All learning takes place online on the Coursera platform.

Is NVIDIA Deep Learning Specialization for experts or beginners?
NVIDIA Deep Learning Specialization
is not for experts (it says it will make you an expert, in fact) but it warns off beginners quite sternly.

Is NVIDIA Deep Learning Specialization expensive?
NVIDIA Deep Learning Specialization
is hard to pin down in terms of cost, but their 2-hour courses go for around $30, so we leave you to do the maths.

What are the benefits of NVIDIA Deep Learning Specialization?
NVIDIA Deep Learning Specialization
teaches learners to build models with a practical focus, so they are industry-ready by the end.
NVIDIA Deep Learning Specialization
introduces learners to Convolutional networks, RNNs, LSTM, Adam, Dropout, BatchNorm and Xavier/He initialization.
NVIDIA Deep Learning Specialization
teaches necessary elements of Python and TensorFlow.
NVIDIA Deep Learning Specialization
promises the graduate will be able to set up neural networks and act as a team leader on machine learning projects.

What is NVIDIA Deep Learning Specialization not so good at?
NVIDIA Deep Learning Specialization
is quite a commitment for the working man or woman, and is really aimed at those wanting to be quants one day.

How popular is NVIDIA Deep Learning Specialization?
As with other components on the platform, NVIDIA Deep Learning Specialization gets a fair number of sign-ups.

Top AI training review: Stanford University Machine Learning

What is Stanford University Machine Learning?
Stanford University Machine Learning
is an 11-week online course  for learning about the basics of machine learning. Stanford University professor Andrew Ng (previously head of Baidu AI Group/Google Brain) is the creator and it uses the Coursera platform.

Is Stanford University Machine Learning for experts or beginners?
With a very heavy workload (24 reading units just in Week 1), and a steep learning curve, it would be not be ungenerous to say that Stanford University Machine Learning is for the techie’s techie with ambitions.

Is Stanford University Machine Learning expensive?
Stanford University Machine Learning
costs just £58, and is free if you don’t want a certificate at the end or any marking. So that’s very reasonable.

What are the benefits of Stanford University Machine Learning?
Stanford University Machine Learning
lets users grapple with backpropagation algorithms, error analysis and support vector machines.
Stanford University Machine Learning
introduces learners to MATLAB.
Stanford University Machine Learning
teaches through video lectures as well as text.
Stanford University Machine Learning
is flexible, so if you just can’t meet a deadline, you can redo from that point at a later date.

What is Stanford University Machine Learning not so good at?
Stanford University Machine Learning
makes no concessions to depth, meaning you have to dive right in or not at all. Not for those who’d like to know how to use a few tools quickly and dirtily.

How popular is Stanford University Machine Learning?
As you might imagine from the price vs content ratio, Stanford University Machine Learning is extremely popular.

Top AI training review: IBM Open Badge Programme

What is IBM Open Badge Programme?
IBM Open Badge Programme
on the IBM Skills Gateway offers learners a business understanding of AI processes and machine learning.

Is IBM Open Badge Programme for experts or beginners?
While there are some IBM beginner courses on offer, IBM Open Badge Programme is for firmly those with a computer science educational background – medium to well-done, in steak terms.

Is IBM Open Badge Programme expensive?
IBM Open Badge Programme
may not be expensive, but they’re teaching you to use a platform that most certainly is, so – buyer beware.

What are the benefits of IBM Open Badge Programme?
IBM Open Badge Programme
boasts worldwide recognition and respect.
IBM Open Badge Programme focuses on the commercial applications of AI, including chatbots, image recognition and discovery services.
IBM Open Badge Programme offers 3 “badges” of achievement: Explorer, Instructor and Author.

What is IBM Open Badge Programme not so good at?
IBM Open Badge Programme
is going to teach you how to use IBM Watson and IBM Cloud, and at some stage may ask you to move into an IBM house with an IBM spouse.

How popular is IBM Open Badge Programme?
For people who love life in the IBM family, IBM Open Badge Programme is probably the way to go.

Top AI Training review: Udacity Machine Learning Engineer Nanodegree

What is  Udacity Machine Learning Engineer Nanodegree?
Udacity Machine Learning Engineer Nanodegree (apart from being quite a mouthful) is an online course for learning to create predictive models and use decision-making algorithms, which lasts for six months and comes from the Kaggle team of educators.

Is Udacity Machine Learning Engineer Nanodegree for experts or beginners?
Udacity Machine Learning Engineer Nanodegree boasts that it can take the novice to knowledgeable in half a year.

Is Udacity Machine Learning Engineer Nanodegree expensive?
Udacity Machine Learning Engineer Nanodegree offers a free trial of 7 days, then charges £150 sterling per month, for a grand total of £900 – which is certainly not chickenfeed.

What are the benefits of Udacity Machine Learning Engineer Nanodegree?
Udacity Machine Learning Engineer Nanodegree will take the user through nine separate projects, allowing practical and results oriented application from day one.
Udacity Machine Learning Engineer Nanodegree takes users through models from a smartcab simulation to image classification.
Udacity Machine Learning Engineer Nanodegree teaches through reinforcement.
There are many other courses on offer on the Udacity platform, meaning learners who enjoy the method of training can take more.

What is Udacity Machine Learning Engineer Nanodegree not so good at?
The last two months of the course teach about preparing your CV and preparing for an interview (with its inevitable assessment component). This may not be of any interest to some learners.

How popular is Udacity Machine Learning Engineer Nanodegree?
It’s been around for longer than most of its rivals, which gives an idea of how happy its learners are.