AI Programming with Python

Should I take a class for which you have to pay?

So I have attempted to learn python a couple of times over the last five years or so. Each time I get to OOP and classes and basically give up because I feel like I am just not cut out to be a programmer. I have decided to try one last time because the company I work for has begun some AI projects that I hope would provide an opportunity out of customer service!

So I wanted to know, given the fact that I have a record of quitting when it gets a little tough, should I take a class where you pay to learn Python? I was wondering if it would give me a better support system where I can ask questions and not feel like an idiot.

FYI: The 3 paid classes I am looking at are: AI programming with Python - udacity, Programming with Python - CodeAcademy Pro Intensive, or The Modern Python 3 Bootcamp - udemy.

https://www.udacity.com/course/ai-programming-python-nanodegree--nd089

Check out Udacity's AI school. They just released a new 2-month (~10 hrs per week) intro course on "AI Programming with Python

As mentioned by others, Python is the most common machine learning programming language and you'll learn the math/theory at the core of machine learning. It's $299 if you sign up by April 5th (I received e-mail from them today). They have a course preview you can check out to see if it's the right fit for you. After that intro course, they have several follow-on AI courses that range from 4-6 months or longer if you want to pursue a specific AI path (computer vision, natural language processing, etc.). I have no affiliation with Udacity, but have had a great experience with some of their other courses.

There are absolutely no UDACITY courses here, if someone has access to that site please upload any of the following if you can:

-https://www.udacity.com/course/ai-artificial-intelligence-nanodegree--nd898

-https://www.udacity.com/course/ai-programming-python-nanodegree--nd089

-https://www.udacity.com/course/robotics-software-engineer--nd209

-https://www.udacity.com/course/deep-learning-nanodegree--nd101

-https://www.udacity.com/course/flying-car-nanodegree--nd787

-https://www.udacity.com/course/computer-vision-nanodegree--nd891

-https://www.udacity.com/course/self-driving-car-engineer-nanodegree--nd013

-https://www.udacity.com/course/machine-learning-engineer-nanodegree--nd009t

-https://www.udacity.com/course/business-analyst-nanodegree--nd008

I was also in AI4R and in the same boat. Eventually dropped the course for exact same reason. Now I am taking a course on udacity which I mentioned below. This should teach me numpy, pandas and other libraries which will be super useful going forward. Also reading the below mentioned book. This should teach all the DS and Algo implemention in python. I am hoping I will get the confidence in python to attempt AI4R in the next coming semesters.

https://www.udacity.com/course/ai-programming-python-nanodegree--nd089

https://runestone.academy/runestone/books/published/pythonds/index.html

Hope this helps.

If you want to specialize in AI, there is a 3 step process you can take to end up as an AI project manager.

​

1. Take the AI Programming with Python nanodegree to gain fundamental knowledge of python and AI programming in Python
2. Take the AI nanodegree and see how you like it.
3. Take the AI project manager nanodegree.

​

That's the only way to go about meeting your long-term goals.

1. https://www.udacity.com/course/programming-foundations-with-python--ud036

2. https://www.udacity.com/course/ai-programming-python-nanodegree--nd089

I'm sorry to hear about your accident, but wish you luck in this career transition. Are you more interested in machine learning than traditional software development? If so, I've heard good things about Udacity's intro program, which will bring you up to speed in Python and SQL: https://www.udacity.com/course/programming-for-data-science-nanodegree--nd104

You could then look at something like this to take yourself further: https://www.udacity.com/course/ai-programming-python-nanodegree--nd089

The Andrew Ng machine learning course is famous and quite good for understanding concepts, I'd recommend you take it after getting some experience in programming: https://www.coursera.org/learn/machine-learning

Beyond these specific courses though, you'll want to brush up on: computer science principles (loops, variables, data structures, algorithms, code structure etc.), linear algebra, probability, some statistics, and calculus. These are the foundations of machine learning. Lots of great resources online on edx, coursera, udemy, udacity etc.

Siraj Raval is a well-known person on YouTube in ML education, and he's compiled a 3-month course to go from 0 to proficient in machine learning. While 3 months is a little ambitious (e.g. he recommends watching videos at 2-3x speed which may be difficult if you really want to understand the concepts), he's gathered some good resources you can check out: https://www.youtube.com/watch?v=Cr6VqTRO1v0

Good luck!

you could do a udacity nanodegree

Predictive Analytics for Business
https://www.udacity.com/course/predictive-analytics-for-business-nanodegree--nd008

Data Analyst
https://www.udacity.com/course/data-analyst-nanodegree--nd002

AI programming with python
https://www.udacity.com/course/ai-programming-python-nanodegree--nd089

different programming ones
https://www.udacity.com/school-of-programming

edx has a bunch of XSeries (you take a group of courses to specialize in something)
https://www.edx.org/xseries#edx-product-discovery-cards

here's one on excel
https://www.edx.org/xseries/microsoft-excel-data-analyst

the next level of edx is Professional Certificates
https://www.edx.org/professional-certificate
go there and scroll down to see them all

but here's one that may be of interest
https://www.edx.org/professional-certificate/harvardx-data-science

and the next level after that is there MicroMasters
https://www.edx.org/micromasters

coursera has specializations (a group of courses)

data science
https://www.coursera.org/browse/data-science?facets=skillNameMultiTag%2CjobTitleMultiTag%2CdifficultyLevelTag%2Clanguages%2CentityTypeTag%3ASpecialization%2CpartnerMultiTag%2CcategoryMultiTag%3Adata-science%2CsubcategoryMultiTag&sortField=

computer science
https://www.coursera.org/browse/computer-science?facets=skillNameMultiTag%2CjobTitleMultiTag%2CdifficultyLevelTag%2Clanguages%2CentityTypeTag%3ASpecialization%2CpartnerMultiTag%2CcategoryMultiTag%3Acomputer-science%2CsubcategoryMultiTag&sortField=

business
https://www.coursera.org/browse/business?facets=skillNameMultiTag%2CjobTitleMultiTag%2CdifficultyLevelTag%2Clanguages%2CentityTypeTag%3ASpecialization%2CpartnerMultiTag%2CcategoryMultiTag%3Abusiness%2CsubcategoryMultiTag&sortField=

but like others have said, if you look around you'll find a lot of this stuff for free (youtube, freecodecamp)

and you never know what you're going to get when you sign up and pay for a class