LLMOps Masterclass 2025 - Generative AI - MLOps - AIOps

Why take this course?
🌟 Course Headline: 🚀 Unlock the Future: Mastering Generative AI, MLOps, AIOps - LLMOps with OpenAI and Hugging Face Models Deploy to Production! 🚀
Course Description:
Are you ready to dive into the transformative world of Generative AI and LLM Ops? Our LLMOps Masterclass 2024 is the ultimate guide to understanding and deploying advanced AI applications with confidence. This course is meticulously crafted for professionals, developers, and enthusiasts who aspire to master the intersections of Generative AI, MLOps, and AIOps.
Your Learning Journey:
Our comprehensive curriculum is structured into clear, actionable sections designed to take you from novice to expert in LLM Ops and Prompt Engineering. 📚
Introduction to Course:
🎓 Starting with LLM Ops and Prompt Engineering: Begin your journey with a foundational understanding of LLM Ops and the art of Prompt Engineering. Learn why these are crucial in today's AI landscape.
Navigating the Generative AI Tsunami:
🌊 Impact of Generative AI in Everyday Life: Explore the profound impact of Generative AI on society, industries, and your personal life. Understand its potential through real-world applications.
Getting Started with Generative AI:
⚛️ Understanding Generative vs Discriminative Models: Grasp the concepts behind Generative AI models and how they differ from discriminative ones. Delve into practical applications that can revolutionize your work.
Prompt Engineering Mastery:
🔍 Secrets of Prompt Engineering: Unlock the techniques and strategies behind effective Prompt Engineering for LLM applications, and learn how to craft prompts that yield superior results.
Technical Details of LLM:
⚓️ Diving Deep into LLM: Gain a deep technical understanding of LLMs, from their training processes to enterprise-level applications. Discover the principles that drive these powerful models.
Project 1 - Building LLM Application using ChatGPT:
🛠️ Hands-On with ChatGPT: Apply your knowledge by creating an LLM application with ChatGPT. From setting up the environment to deploying your app, this project is a practical learning experience.
Packaging the AI/LLM Application:
📦 Efficient AI Application Packaging: Master the essentials of packaging and deploying AI applications using technologies like FastAPI and Docker. Learn best practices for containerization.
Deploying the Container Application with Kubernetes:
🎢 Kubernetes Mastery: Discover the ins and outs of deploying containerized applications with Kubernetes. Learn how to install, scale, and manage your applications efficiently.
Github Actions for Workflow Automation:
🤖 Automating with GitHub Actions: Learn how to set up and implement GitHub Actions in your workflows to enhance collaboration and streamline processes.
Setting Up Kubernetes on Google Cloud:
☁️ GCP and Kubernetes: Understand how to set up Kubernetes on Google Cloud Platform (GCP), from initial setup to deploying applications on GKE clusters.
Implement CI/CD with GitHub Actions - GKE:
🔄 Continuous Integration & Continuous Deployment: Learn to implement robust CI/CD pipelines using GitHub Actions in conjunction with Google Kubernetes Engine (GKE).
Building Generative AI App using Hugging Face:
🎨 Generative AI with Hugging Face: Put your skills to the test by building a Generative AI application using the Hugging Face library. Understand text generation pipelines and CI/CD setups.
Monitoring of LLM Models in Production:
🔍 Ensuring Model Reliability and Performance: Learn advanced monitoring techniques for LLM models in production, including the use of platforms like WhyLabs and Langkit to optimize your applications.
LLMOps Basics:
🚫 Foundation in LLM Ops: Strengthen your understanding of LLM Ops basics, including version control with Git, and CICD demonstrations to ensure a solid foundation for advanced concepts.
Embark on your journey to mastering LLM Ops and stay ahead in the ever-evolving landscape of artificial intelligence. 🌟 Join us today and unlock a world of endless possibilities with LLMOps Masterclass 2024. Let's innovate, create, and lead the AI revolution together! 🚀
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