
Deploy containerized microservices using AWS Cloud9, ECR, App Runner, and FastAPI. Learn continuous delivery architecture, build and test APIs, set up ECR, and implement automated deployment with AWS CodeBuild.

Comprehensive guide to building MLOps platforms using Databricks, AutoML, SKLearn, and AWS. Covers end-to-end process from project setup to model deployment, including CI/CD, experimentation, and containerization.

Master containerization and AWS deployment of algorithms, from greedy solutions to microservices. Hands-on with FastAPI, GitHub Actions, AWS App Runner, and ECR for efficient cloud-based development and deployment.

Learn essential data science skills: GitHub, Colab, data analysis, visualization, and CI/CD. Hands-on practice with real-world datasets and tools for efficient workflow and collaboration.

Master Python testing with Pytest, covering DevOps, CI/CD, cloud environments, and advanced techniques. Learn to build and test robust applications using Flask, Click, and various testing strategies.

Learn to create and deploy reproducible MLOps pipelines, covering key concepts like continuous training, drift detection, and model deployment for real-world data science value beyond Jupyter notebooks.

Learn to deploy and use TOBS (The Observability Stack) on Linode Kubernetes Engine, exploring key monitoring tools like Prometheus, Grafana, and TimescaleDB for enhanced cluster observability.

Enhance Azure deployments using GitHub Actions: validate Bicep code with linting, preflight checks, and what-if operations. Learn to test resources post-deployment for robust CI/CD workflows.

Explore workload identities for secure Azure deployment authentication. Learn to create, link, and configure identities for GitHub Actions workflows, enhancing your Azure resource management.

Explore Azure services, cloud-native best practices, and real-world applications through expert-led sessions on domain-driven design, security automation, Kubernetes, static web apps, and infrastructure as code.

Learn to build Python microservices with continuous delivery, covering project setup, testing, CLI creation, FastAPI, containerization, and AWS deployment for real-world applications.

Learn to deploy a globally scalable Hugo static site on AWS using continuous delivery, covering GitHub, Cloud9, S3, and CloudBuild for efficient and automated website management.

Comprehensive guide to MLOps: from theory to implementation, covering DevOps, cloud-native solutions, and AutoML. Learn to build, deploy, and manage machine learning systems across various platforms and technologies.

Explore strategies to accelerate and automate AI/ML workflows using Kubernetes, leveraging open-source tools like Jupyter Notebooks and TensorFlow for efficient development and deployment.

Explore GitHub Actions for SAP development and DevOps, covering terminology, workflows, org-level features, and practical examples to enhance your automation capabilities.

Explore remote container development in VSCode using WSL2 for SAP Cloud Application Programming Model. Set up a Linux environment, install dependencies, and debug in a pure Linux setting on Windows.

Learn to deploy a Cloud Application Programming Model app to SAP Cloud Platform's Kyma runtime. Covers setup, dockerization, and deployment, with focus on environment configuration and troubleshooting.

Explore WebAssembly deployment on Kubernetes using WasmEdge, with live demos on creating, compiling, and running Wasm modules in slim containers, plus insights on use cases and tools.

Learn to use Docker with PostgreSQL, spin up database instances, and connect from local environments and Spring Boot applications in this hands-on tutorial.

Explore Kubernetes architecture, including Control Plane and Worker Nodes. Learn about cluster components, pods, and deployment strategies for efficient container orchestration.

Learn to set up Docker containers for PostgreSQL, connect using psql, and integrate with DataGrip IDE for efficient database management and development.