Master AI and Machine Learning: From Neural Networks to Applications
AI Engineer - Learn how to integrate AI into software applications
Overview
AI, Data Science & Cloud Certificates from Google, IBM & Meta — 40% Off
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Learn essential skills and tools crucial for success in cloud computing before diving into AWS, Azure, or Google Cloud. Explore user-friendly code editors like VS Code and Sublime, master version control with GitHub, develop scripting abilities in Python and Bash, understand continuous integration using Jenkins and GitHub Actions, automate infrastructure management with Ansible and Puppet, grasp infrastructure as code concepts through Terraform and Pulumi, and build a strong foundation in networking and security essentials including VPCs, subnets, load balancers, proxies, reverse proxies, CIDR notations, and security measures. Gain practical insights and tips to enhance your cloud capabilities and prepare for advanced challenges in cloud computing.
Syllabus
Master these before learning Cloud!
Taught by
Rahul Wagh