Okay, so you've reached the end


of this Docker Fundamentals course.


Firstly, congratulations.


You should know that the knowledge you've gained,


both theory and practical,


is going to benefit you as you move through your career.


But you might be asking yourself, "What's next?"


What's the next logical step that you should take?


Well, let's explore that.


Now, this course has been an introductory level to Docker.


The course is called Docker Fundamentals


and so it's only a minor part


of all of the knowledge in the Docker ecosystem.


Depending on when you are watching this course,


I'm either busy producing some deeper dives into Docker


or I already have those courses.


It's my intention that this course is a foundation


and I'm going to be building evermore complex courses


over the top of this,


diving ever deeper into the Docker ecosystem.


Alternatively, you might like to try


some other related topics, such as Kubernetes,


and again, depending on when you are watching this course,


I might already have some Kubernetes courses.


It's my intention to start off


with a Kubernetes fundamentals course,


but as with Docker,


I'll be making more complex courses


over the next few months.


Another option is that you might like to apply


your new container knowledge to AWS.


I have a full range of paid AWS courses


covering both how to use the platforms in the real world


and AWS certification


and all of these courses are available on my school website,


which is onscreen now and linked attached to this video.


Alternatively, you might like


to apply your container knowledge


but to a different cloud platform, such as Azure.


And while I don't make any Azure courses,


I do have a strong recommendation


and that's learn.cloudlee.io.


Just to reiterate, these courses aren't created by me


but they do look to have a good solid quality.


So if you want to take advantage of your container knowledge


and move across to use this with a cloud platform


such as Azure,


then this is a really good school to check out


in case you're interested in that platform.


Now, you might want to improve your knowledge


but instead of focusing on theory and architecture,


you might want to look at skills more practically.


And if that's the case, I do have a repo


with lots of free mini projects.


At the moment, these are focused mainly on AWS


but there are some more generic mini projects in there,


such as container-based mini projects,


and I am rapidly expanding this repository


with lots of different technical mini projects.


So definitely check this out.


And then lastly, I want to draw attention


to what I think is one of the best resources


that you can use to continue your learning journey


and get into this space from a job perspective


and that's the learning community techstudyslack.com.


Now, this community is focused on learning.


It has lots of different channels


covering different technical areas,


such as AWS, Google, Azure,


and then other things like Terraform,


containers such as Docker and Kubernetes, and much more.


It has lots of study group channels


if you're studying for particular certifications,


but it also has channels dedicated to helping you get a job.


Now, I always say that when you are learning,


the best thing that you can do


is surround yourself with people both on the same journey


and people who have more skill than you.


So this is a really good resource.


Now, I do think it's really important


that you do have a learning plan.


So think about the types of roles that you want


in one, two, three, and five years.


Look at the skills required for those roles,


do a gap analysis between where you are now


and what you need for those roles,


and then build a study plan.


If you do want to study


in any of the areas which I've mentioned,


then I really would love if you use another of my courses


as part of your learning journey.


Now, at this point,


that is everything I wanted to cover on this topic.


Once again, above all, I wanted to say thank you.


Thank you for taking the time to watch my course


and thank you in advance


if you decide to take any of my future courses.


If you liked this course,


then also thanks for any recommendations


that you can provide.


As a solo creator,


word of mouth is the only way


that I can grow and help more people.


So if you did enjoy yourself in this course,


then please tell everyone all about it.


Tell friends, work colleagues,


and post about it on social media.


Everything helps as a solo creator.


Your recommendations make a massive difference.


At this point, though,


for the last time in this course, we're all done.


So go ahead and complete the video


and I hope to see you soon in another course.