Siddharth Raghunath

Packt Expert

Siddharth Raghunath

Siddharth Raghunath is an engineering manager with extensive experience in software development, distributed processing, and cloud data engineering. He has expertise in AWS, GCP, and Hadoop, and regularly conducts seminars on data processing and analytics.

Categories
LLM Engineering, Generative AI Tools and AI-Assisted Productivity, Amazon Web Services, Python, Data Engineering, Infrastructure as a Service (IaaS) Integration and Development, Data Science, Continuous Integration/Continuous Delivery (CI/CD) Pipelines, Airflow, Data Warehousing and Big Data Processing Frameworks

5 Courses by Siddharth Raghunath

Cover image for Build Real world End-to-End AI Agents using AWS Bedrock

Build Real world End-to-End AI Agents using AWS Bedrock

Harness AWS Bedrock to Build Scalable AI Agents for Real-World Applications

Explore how to build advanced AI agents using AWS Bedrock with a hands-on, practical approach. You'll learn to design, deploy, and scale AI-driven applications that integrate with AWS services like Lambda, DynamoDB, and Redshift. By the end, you'll be ready to create real-world AI solutions for a variety of industries.

Packt | 2025 | 357 min

Cover image for Data Science Model Deployments and Cloud Computing on GCP

Data Science Model Deployments and Cloud Computing on GCP

Learn to deploy and implement applications at scale using Kubeflow, Spark, and serverless components on Google Cloud

Gain practical experience deploying scalable data science models and applications using Google Cloud. Explore serverless computing, workflow orchestration, and machine learning pipelines with real-world tools like Kubeflow and Spark. Build confidence working with cloud services and modern deployment strategies.

Packt | 2023 | 415 min

Cover image for Real-world End to End Machine Learning Ops on Google Cloud

Real-world End to End Machine Learning Ops on Google Cloud

Master ML Ops & CI/CD Pipelines with Google Cloud's Advanced AI and Workflow Tools

Explore the full machine learning operations lifecycle on Google Cloud, from setting up automated pipelines to deploying scalable models. Work directly with tools like Vertex AI, Kubeflow, and Cloud Run to streamline and automate your ML workflows. Build practical skills that help you deliver production-ready solutions faster and with greater confidence.

Packt | 2025 | 364 min

Cover image for Snowflake - Build and Architect Data Pipelines Using AWS

Snowflake - Build and Architect Data Pipelines Using AWS

Data engineering and architecting pipelines using Snowflake and AWS cloud

Gain hands-on experience building and architecting data pipelines using Snowflake and AWS. Explore core features of Snowflake, automate workflows, and work with real-time data streaming. Discover how to use Snowpark for data transformation and data science tasks.

Packt | 2022 | 519 min

Cover image for Ultimate AWS Data Engineering Bootcamp - 15 Real-World Labs

Ultimate AWS Data Engineering Bootcamp - 15 Real-World Labs

Master Data Engineering on AWS with Airflow, Redshift, Glue, Spark, ECS & More

Explore advanced data engineering on AWS by working through 15 practical labs that mirror real business scenarios. Build skills in orchestration, ETL, real-time streaming, and CI/CD using a range of AWS tools. Designed for those with Python and basic cloud knowledge, you'll gain hands-on experience architecting and managing cloud data solutions.

Packt | 2025 | 480 min