Master the Python language in an all-inclusive training program that includes an introduction to Python, object-oriented programming, web development with Django, and game development.

Puzzled about React.js and how it varies from other JavaScript frameworks? Simplilearn’s online training course on React.js will give you a firm anchor on how React enables developers to master user interface developing skill with ease. The course will enable you to build React.js applications using React router, data flow and usage with react, bootstrap and CSS, and React middleware.

Julia is a new programming language released in 2012. Learn it fast and get ahead of others with Simplilearn’s online Julia training course. Comprehend Julia fundamentals such as variables, loops, operators, conditionals, and much more, write Julia codes, perform IO File operations in Julia with ease, and finally gain expertise in it.

Salt is an open source system management and remote execution engine. Learn and build dependable, scalable, and safe infrastructures with Salt by taking Simplilearn’s online Salt training and certification course.

Get the basics of implementing application environments and public cloud infrastructure using Google Cloud Platform. Learn to deploy cloud infrastructure components such as networks, systems, and applications. Manage application deployment using Jinja and Python templates with Google cloud deployment manager.

Simplilearn’s Machine Learning Course will introduce you to the world of Artificial Intelligence and Machine Learning. As part of the Machine Learning Certification training, you will master the concepts of Supervised Learning, Unsupervised Learning, Reinforcement Learning, Support Vector Machines, Kernel SVM, Naive Bayes, Decision tree classifier, Random forest classifier, Logistic regression, K-nearest neighbours, K-means Clustering to prepare you for the role of Machine Learning Engineer.

Become an expert in data analytics, machine learning, and web scraping using Python programming. Gain an in-depth understanding of the various packages in Python like NumPy, SciPy, Pandas, and Scikit-learn for performing data analysis, implementing machine learning models, and NLP. The course includes two real-life industry projects and Jupyter notebooks labs to provide an interactive and hands-on practice. This course is suited for both beginners and experienced professionals.

Do you want to have an edge over others in the extremely demanding field of software engineering? You’ve come to the right place! Simplilearn’s Software Engineering Masters program will train you to gain expertise on different levels of Software Engineering, Programming, Frontend, Backend, DevOps tools, Mobile Development through Android, Cloud, and then Agile.

Machine learning gives you extremely powerful insights into data, and has become so ubiquitous you see it nearly constantly while you browse the internet without even knowing it. Implementations of machine learning are as diverse as recommendation systems to self-driving cars. In this course, you'll be introduced to a unique blend of projects that will teach you what machine learning is all about and how you can use Python to create machine learning projects. Access 26 lectures & 3 hours of content 24/7 Work on six independent projects to help you master machine learning in Python Cover concepts such as classification, regression, clustering, & more Apply various machine learning algorithms Master Python's packages & libraries to facilitate computation Implement your own machine learning models

Few programming languages provide you with the flexibility and pure power of Python, which is why many professionals recommend that beginner programmers learn Python first. Due to its relatively simply syntax and extensive degree of general-purpose use, it just makes sense to know. Python is commonly used for server side programming for complex web apps or as a middle tier language providing web services or a communication layer with larger ecommerce systems. All that is to say you can do a lot with Python, and this course will show you just how much. Access 76 lectures & 5.5 hours of content 24/7 Explore some of Python's many libraries for everything from games & graphics to complex mathematics Study & modify code on your own to cement each topic Familiarize yourself w/ Python syntax & real problem solving w/ Python Complete a comprehensive project that integrates a number of different skills that are a part of core Python