Below you can find the best ab courses that are currently available on the internet. They are updated regularly with the aim to keep all their characteristics like price, level of difficulty, and certificate quality up to date so you can make an informed decision about which is the best ab course for you. Feel free to use the filters below to sift through the entire database on Courseroot.
For those with a lot of experience in machine learning and that are looking to gear up to another level, this course is great. You will learn all about Supervised, Unsupervised, Reinforcement, and Deep Learning. The program also includes a capstone project that functions as a great addition to your portfolio.
As the title suggests, here the student will learn all about testing ideas and leveraging opporunities using Design Sprint. Design Sprint has completely altered the way products are brought to market. This course includes support from industry experts and practical cases to test and train your skills.
Probably the highest acclaimed course on the internet in regards to Deep Learning. Deep learning is the driver of most machine learning and AI implementations that we see happening in the world. A student that enrolls in this course will build and apply their own neural networks to tackle challenges put forth by the course creators. For anybody that wants to step into the world of AI, this is a great starting point. More information
Using data to optimize a business is becoming more and more the norm; the business that do not are missing out. This course teaches you how to collect, organize, and analyze data using Excel, SQL, and Tableau (a great visualization tool). This Udacity course is a great start if you are just entering the data science field and are looking to pursue a career in the industry.
This particular Udacity course focuses on teaching the student the fundamentals of programming for data professionals. More specifically, the program teaches Python, SQL, Terminal, and Git. You will also learn all about version control, managing large datasets, and accessing databases. It is a fantastic course for anybody looking to start a career in data science.
This udacity course covers a whole lot of different programming languages (Pyton, Pytorhc, Matplotlib, NumPy, and more) with the aim of giving you the foundation to build your own neural network. Python will take up the bulk of the program, given that its the core of AI programming. Having finished this course, you will be able to start a career in AI.
A course that teaches you about learning. This might sound a bit weird but being able to learn and acquire new skills is one of the most valuable assets any professional can have. This elaborate Coursera course covers everything there is to know about taking in information, diving into memory techniques, procrastination, and best practices to master subjects. An absolute recommender.
Cybersecurity is becoming more important by the day, with software becoming more and more intertwined in our daily lives. This career track by Springboard is an online, mentor-guided bootcamp, that is specifically made to get you a job in Cybersecurity after you are finished. For anybody that wants to get into this field, this is an absolute killer course.
In this course, you will get to understand what makes deep learning work. No longer will you see it as a black box. After this course, students will understand what drives good performance of a deep learning model and be able to work on neural networks using initialization, L2 regularization, batch normalization, and so forth. During this all, TensorFlow will be used and taught to the student. More information
This course will teach you the Angular fundamentals required to create testable, MVC-style single page applications with AngularJS. In this course, you will learn how simple it is to use Angular to create maintainable and testable single page applications. You will learn how to: bootstrap your Angul
C# Interfaces help us create code that's maintainable, extensible, and easily testable. This course covers interfaces from ground zero ("What are interfaces?") and works up to advanced abstraction. Do you want code that's maintainable, extensible, and easily testable? If so, then C# interfaces are h