Advanced Generative AI

Demystifying Observability for Microservices Monitoring - Practical OpenTelemetry for .NET Developers

Feeling lost in the world of observability? Don’t know how to monitor your .NET solutions? This session cuts through the jargon and equips you with practical OpenTelemetry skills for your .NET projects. Grasp core observability concepts and learn how OpenTelemetry simplifies collecting and exporting telemetry data in a vendor-neutral way. By the end, you'll be empowered to effectively monitor your .NET applications and gain valuable insights into their performance and health.

Secure .NET Application Development - Implementing Security from the Ground Up

This session dives into essential security practices for building robust modern .NET applications. By understanding common threats and implementing preventative measures, developers can ensure their code is protected against the mose common vulnerabilities according to OWASP. The lecture will cover best practices and key areas like user authentication, data protection, and secure coding techniques. By designin with security in mind from the start, developers can create reliable and trustworthy applications.

Fastest Microservices - GraphQL , gRPC & REST

This session delves into the trinity of modern microservices communication technologies: GraphQL, gRPC, and REST. You will go on a journey through the intricacies of each technology, exploring their strengths, weaknesses, and real-world applications. From GraphQL's flexible data querying to gRPC's high-performance RPC framework and REST's ubiquity, we unravel the nuances that make each option unique. This session promises to illuminate the path towards achieving optimal speed and performance in microservices architecture and modern solutions.

Enhance the Performance & Accuracy of LLMs

This session explores techniques to elevate the capabilities of Large Language Models. We'll delve into strategies for improving accuracy, reducing bias, and boosting overall performance. Learn about data selection, fine-tuning techniques, and evaluation practices that ensure your LLMs deliver reliable and high-performing results.

LLMOps - Building LLM applications for production

This session tackles the challenges of deploying Large Language Models (LLMs) in real-world applications. We'll explore the emerging field of LLMOps, a set of practices for bringing LLMs from development to production. Discover how LLMOps helps manage infrastructure, optimize resource allocation, and ensure ongoing model maintenance. By understanding LLMOps principles, you'll gain the knowledge to build and deploy to build and deploy LLMs at scale.