Introduction

AI & Machine Learning could be new to you and you may be wondering can i actually learn and understand these tech?

Well, in all my classes i do no assume any prior knowledge by the students. Unless of course all the students acknowledge, they are above and confident in the topic being taught so we move on.

My default setting while in class is therefore, start with the basic principles and progress gradually to complex topic explained in as simple and direct language as possible.

And so we go deep as a class!

Types of learners

1. Beginners - Those who do not know the theory elements of the concept
2. Intermediate - Those who know the theory but not enough practical experience to leave an impact
3. Practitioner - Those who know the theory, have built solutions with justifiable impact but are yet to master optimal ways of delivery of a solution.
4. Master - Those who build solutions that have impact in optimal ways.
5. Expert - Consultants and creative individuals changing how things are done or creating absolutely new ways of doing things through innovation

Secret to learning

Being honest with your level gives you a very good foundation to grow to an expert for this creates the needed room to learn new concepts in very many different ways. The rate of growth is exponential once you:

1. Understand your level
2. Have a focus and vision of what you want to achieve within specific time period.

Conclusion

In my class i break down the levels through a coninous process of learning-unlearning and re-learning.

In a problem solving class like all my classes, there is no expert, there is no master, there is no practitioner, there is no intermediate and there is no beginner.

We have all come together to achieve one and only one goal - to solve a problem and every learner in my class has something to contribute towards that.

Welcome to my class and congratulations to your admission into the best online practical training school in this region.!