DeepSeek in Practice From basics to fine-tuning, distillation, agent design, and prompt engineering of open source LLM

Course Overview

This course focuses on real-world deployment strategies for data science workloads in the cloud. First, you will understand how data science applications behave in cloud environments. Then, you will explore how to deploy them securely using virtual machines, containers, and serverless services. As a result, you will gain the skills needed to design flexible and resilient architectures.

Moreover, the course emphasizes security at every layer. You will learn how to protect data, manage identities, and enforce least-privilege access. Consequently, your applications will remain compliant, reliable, and production-ready.

What You Will Learn

• Designing secure cloud architectures for data science workloads
• Deploying machine learning and analytics applications on VMs
• Transitioning from VM-based solutions to containerized platforms
• Building and deploying serverless data science pipelines
• Implementing security best practices on AWS and Google Cloud
• Monitoring, logging, and optimizing cloud-based applications

Cloud Platforms and Tools

Throughout the course, you will work with widely adopted cloud services. For example, you will deploy workloads using Amazon EC2, AWS Lambda, Google Compute Engine, and Google Cloud Functions. In addition, you will explore IAM, encryption, and network security controls. Therefore, you will be able to choose the right deployment model for each use case.

Why Take This Course?

Data science teams increasingly rely on cloud-native solutions. However, insecure deployments often lead to costly incidents. This course helps you avoid those risks by teaching proven security-first approaches. Furthermore, you will gain practical experience that aligns with real industry demands. As a result, you can confidently support enterprise-grade data science projects.

Explore These Valuable Resources.

• AWS Cloud Security Best Practices
• Google Cloud Security Overview
• Serverless Computing on AWS

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Who Should Enroll

This course is ideal for data scientists, cloud engineers, DevOps professionals, and security practitioners. If you want to deploy secure, scalable data science applications in the cloud, this course is an excellent choice. Ultimately, you will build skills that support both career growth and organizational success.