The goal of this course is to enhance your basic teaching techniques. You will acquire a broad range of necessary knowledge and become able to put it into practice in order to provide high-quality training as a trainer.
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Functional toolkit to design state of the art web applications. This course is a great starting point for those who want to master this framework and make a career in designing web applications with Laravel. You will learn Laravel from scratch and build your own applications.
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PostgreSQL is the most advanced open source database; it is globally accepted as an incredibly powerful tool for database management. PostgreSQL Administration & Development course offers you the information required to manage your live production database. It handles the administration and performance tuning of PostgreSQL databases. The candidates of PSQL training program are likely to learn the use of specialized PostgreSQL (AKA Postgres) modules such as replication, connection pooling, and full-text searching.
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R is an open-source free programming language for statistical computing, data analysis, and graphics. R is used by a growing number of managers and data analysts inside corporations and academia. R has also found followers among statisticians, engineers and scientists without computer programming skills who find it easy to use. Its popularity is due to the increasing use of data mining for various goals such as set ad prices, find new drugs more quickly or fine-tune financial models. R has a wide variety of packages for data mining. It’s a language that many non-programmers can easily work with, naturally extending a skill set that is common to high-end Excel users. It’s the perfect tool for when the analyst has a statistical, numerical, or probabilities-based problem based on real data and they’ve pushed Excel past its limits.
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The main objective of this React training course is to help you become familiar with the process and gain the skills you’ll need to become a professional React developer. You will learn the fundamentals of React through self-paced and instructor-led training to understand and build React components and structure applications with Redux.
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Systems Administrators and DevOp Engineers have always been charged to do more with less. Defining infrastructure in code and automating its deployment helps improve operational efficiency and lower administrative overhead. In this course, Terraform – Getting Started, you’ll learn foundational knowledge of Hashicorp’s Terraform software, a toolset for infrastructure automation. First, you’ll discover how to create and update a basic configuration. Next, you’ll explore how to use provisioners, functions, and providers to expand your deployment.
Finally, you’ll learn how to leverage abstraction and improve code reuse with variables, state files, and modules. When you’re finished with this course, you’ll have the skills and knowledge of Terraform needed to write, plan, and create automated infrastructure deployments.
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Vue.js is among the world’s most popular language frameworks for applications and interface development. Its relative lightweight platform, ease of understanding, simple integration, and flexibility have given it huge support from developers and organizations such as Alibaba, Xiaomi and others.
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Learn how to automate Linux system administration tasks with Red Hat Ansible Automation Platform.
Red Hat Enterprise Linux Automation with Ansible (RH294) is designed for Linux administrators and developers who need to automate repeatable and error-prone steps for system provisioning, configuration, application deployment, and orchestration.
This course is based on Red Hat® Enterprise Linux® 9 and Red Hat Ansible Automation Platform 2.2.
Following course completion, hands-on lab access will remain available for up to 45 days for any live course that includes a virtual environment.
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Learn how to automate Linux system administration tasks with Red Hat Ansible Automation Platform.
Red Hat Enterprise Linux Automation with Ansible and exam (RH295) is designed for Linux system administrators and developers who need to automate provisioning, configuration, application deployment, and orchestration.
The Red Hat Certified Engineer (RHCE) exam (EX294) is included in this offering. This offering is based on Red Hat® Enterprise Linux 9 and Red Hat Ansible Automation Platform 2.2.
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Advance your Ansible skills and develop automation that scales by applying recommended practices with the new, container focused tools from Red Hat Ansible Automation Platform
This Red Hat Ansible course is designed for automation content developers to leverage the new, container focused tools from Red Hat Ansible Automation Platform to efficiently develop automation that can be managed by the automation controller. Learn recommended practices for automation development using reusable code, advanced playbook techniques, shared execution environments, and preparing for scalable automation with the automation content navigator.
This DO374: Developing Advanced Automation with Red Hat Ansible Automation Platform course is based on Red Hat Ansible Automation Platform 2.0.
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Configure and manage network infrastructure using Red Hat Ansible Automation Platform.
Network Automation with Red Hat Ansible Automation Platform (DO457) is designed for network administrators or infrastructure automation engineers who want to use network automation to centrally manage the switches, routers, and other devices in the organization’s network infrastructure.
Learn how to use Red Hat Ansible Automation Platform to remotely automate the configuration of network devices, test and validate the current network state, and perform compliance checks to detect and correct configuration drift.
This course is based on Red Hat® Ansible Automation Platform 2.3
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This one-day Agentic AI Foundations course guides you through building autonomous, goal-driven AI agents using AWS technologies.
What will you get out of this course:
- Understand how Agentic AI differs from traditional conversational systems
- Explore tools such as Amazon Q, Kiro, and Amazon Bedrock Agents/AgentCore
- Learn design patterns, architectural strategies, and observability practices for agent systems
By the end of the course, you will be able to:
- Distinguish between workflow, autonomous, and hybrid agents
- Select suitable AWS services for agent development
- Develop basic implementation patterns and interoperability strategies
- Explain how to monitor, optimize, and scale agentic systems
