How to Learn Cloud Computing Free with AutoML
Download and stream Going Pro Cloud Computing free to master AutoML, serverless ML, and DevOps in cloud environments.
Going Pro Cloud Computing Overview:
Going Pro Cloud Computing offers a premium video course completely free for those eager to dive into the world of cloud-based machine learning. You will explore the foundational elements of cloud computing, including storage, security, and infrastructure as code. The course guides you from basics to advanced implementations without assuming prior ML expertise. It uses AutoML platforms like Google AutoML, Amazon SageMaker, Microsoft Azure ML, and Apple CreateML, making model training accessible and streamlined through minimal configuration.
As you progress, you will learn how to deploy these models at scale using serverless technologies such as AWS Lambda, Azure Functions, and Google Cloud Functions. The course teaches how to expose your models as scalable microservices, implement ETL pipelines, and integrate DevOps best practices such as CI/CD, containerization with Docker, and Kubernetes. By completing this course, you’ll gain the expertise to build and manage cloud-native ML solutions efficiently and effectively.
Master cloud-native ML workflows using free video lessons with real-world tools and platforms.
What You’ll Learn in Going Pro Cloud Computing:
- Understand cloud computing fundamentals and infrastructure as code
- Train and deploy machine learning models using AutoML platforms
- Implement serverless ML deployment and microservices architecture
- Design and automate data pipelines for real-time processing
- Apply CI/CD, Docker, and Kubernetes to ML workflows
Course Highlights:
- AutoML Platforms: Work with Google AutoML, SageMaker, Azure ML, and CreateML
- Serverless Operations: Use AWS Lambda, Google Cloud Functions, Azure Functions
- Hands-On Labs: Gain practical skills with real-world projects
- DevOps Integration: Learn CI/CD, containerization, and monitoring
- End-to-End Learning: From zero knowledge to scalable ML deployment
Going Pro Cloud Info:
This course, created by Noah Gift and published by Pragmatic AI Labs, was released on 31-May-24. It focuses on teaching learners to build cloud-based ML solutions using the latest technologies. With 3.85 GB of high-quality video content, the course offers detailed lessons in English covering DevOps, AutoML, and cloud infrastructure. Whether you’re new to the field or aiming to level up your skills, Going Pro Cloud Computing provides comprehensive training to help you build and deploy scalable machine learning pipelines across multiple cloud platforms.
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