Get up to speed with effectively securing your cloud systems
This course is an excellent resource to learn network programming using Python. With the help of practical examples, you will learn how to automate networks with Telnet, Secure Shell (SSH), Paramiko, Netmiko, and Network Automation and Programmability Abstraction Layer with Multivendor support (NAPALM).
This course is a quick starter for anyone looking to delve into optical character recognition, image recognition, object detection, and object recognition using Python without having to deal with all the complexities and mathematics associated with a typical deep learning process.
Master Data Science skills using Python and real time project and go from Beginner to Super Advance level
This course is designed for beginners who want to learn how to use Tableau Prep Builder for data preparation and data cleaning. We will start from scratch; no specific knowledge is required; you should only be familiar with Tableau.
Are you intrigued by how speech recognition is driving the growth of the AI market? This course is a reliable guide if you're looking to pursue a career as a speech recognition professional and understand industry best practices.
Cloud+ is an intermediate-level Network Specialist certification. The median?annual salary for a Cloud+ certified techie is around $74k, and there are?currently over 50,000 job postings for Cloud+ specialists in the US.?This course will help you to get up and running with cloud computing fundamentals and prepare for the CV0-002 exam.
Explore the Spring Data Java Persistence API, Spring MVC, REST clients, and more, and get hands-on with creating robust Spring Boot applications.
In this course, you will learn the fundamentals of data visualization in Python using the well-known Matplotlib and Seaborn data science libraries and perform exploratory data analysis (EDA) by visualizing a data set using a variety of charts.
Get to grips with real-time stream processing using PySpark as well as Spark structured streaming and apply that knowledge to build stream processing solutions. This course is example-driven and follows a working session-like approach.