Python and AI/ML for real Troubleshooting Project

Comprehensive AI/ML, Kubernetes, Argo, and Automated Monitoring Session

This bundled session offers a hands-on, multi-disciplinary learning experience designed for professionals aiming to enhance their expertise across cutting-edge technologies. Participants will dive deep into:

Practical AI/ML Projects

• Master large language models (LLMs), inferencing, and AI/ML tools usage in real project.
• Explore Agentic Mesh technologies, such as Semantic Kernel and Crew.AI, to build innovative AI solutions with another real opensource tool.
• Learn system engineering approaches to tackle real-world AI/ML challenges.

Kubernetes and Argo Ecosystem

• Understand Kubernetes architecture and develop custom Kubernetes Operators using Python.
• Explore the Argo ecosystem including Argo CD for GitOps, Argo Events for automation, and Argo Workflows for orchestrating complex workflows.
• Build and deploy practical projects that integrate Kubernetes and Argo tools to streamline processes.

Automated Monitoring with Datadog

• Learn to automate infrastructure monitoring using Datadog with Terraform, YAML, and Python.
• Configure Datadog monitors, set up Service Level Objectives (SLOs), and analyze metrics and logs to ensure system reliability.
• Apply advanced monitoring strategies to optimize cloud and hybrid infrastructure.

Through this combined session, participants will gain a holistic understanding of AI/ML, Kubernetes, Argo, and Datadog, building actionable skills applicable to enterprise-level projects. This is the ultimate learning experience for anyone looking to excel in DevOps, system engineering, AI development, and security automation! Sign up now to empower your career journey.