This course not only comprises core theoretical concepts but also several interesting hands-on demonstrations that will help you build practical experience on the Amazon Web Services (AWS) platform; you will gain confidence in architecting, designing, and implementing solutions on AWS.
Become a vulnerability assessment professional with the Nessus scanner for networks and learn to analyze and rank vulnerabilities, both manually and through automation. Explore vulnerability scanning with Metasploit and write custom professional reports. Learn to import results of Nmap in Nessus and create VA Project Worksheets to analyze vulnerability assessments.
Learn modern frameworks and technologies, including JavaScript ES6, Bootstrap 5, Tailwind CSS, React, MongoDB, Express, and Nodejs. It's a step-by-step guide to building powerful web applications using cutting-edge technologies for your start-up or business. Learn powerful skills that will make you invaluable in the job market with no coding knowledge.
This course will walk you through a whole real-world scenario for developing and deploying an ecommerce website with Blazor, and we will tackle numerous obstacles along the way. You will learn how to create a .NET 6 API from scratch and deploy .NET API, Blazor WASM, and Server to Azure in this course.
Learn all about Microsoft identity and Azure security the right way with tons of lab exercises. A course that aims to prepare students for the prestigious SC-300: Microsoft Identity and Access administrator exam. The course adheres to the new curriculum and objectives.
Join the Analyst Academy Pro and get a job as a job as a research analyst or simply fast-track your career in asset management.
You will be learning from the basics of a Composable function to how to handle state in Compose and how to build full-fledged Android apps that leverage the full power of Jetpack Compose and Kotlin. This course is tailored for beginners and advanced developers.
This course covers Python for data science and machine learning in detail and is for a beginner in Python. You will also learn about core concepts of data science, exploratory data analysis, statistical methods, role of data, challenges of bias, variance and overfitting, model evaluation techniques, model optimization using hyperparameter tuning, grid search cross-validation techniques, and more.
Learn to use DevOps tools from an industrial point of view. This course will help you get a firsthand experience of what it is like to be a DevOps engineer. Create DevOps CI/CD pipelines using Git, Jenkins, Ansible, Docker, SonarQube, and Kubernetes on AWS. Start your DevOps journey today. This course has been created from the perspective of a DevOps engineer who doesn't typically write application code.
Start your data science journey with this carefully constructed comprehensive course and get hands-on experience with Python for data science. Gain in-depth knowledge about core Python and essential mathematical concepts in linear algebra, probability, and statistics. Complete data science training with 13+ hours of content.