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The course starts with prompt engineering and the basics of generative AI, then builds two applications: one on ChatGPT and one using Hugging Face. Each is taken through containers, Kubernetes and a CI/CD pipeline on Google Kubernetes Engine, so the deployment path is covered end to end.
Intermediate learners who can already use a generative AI API and want to learn operations rather than model theory. The GKE steps assume you are comfortable with cloud accounts and Git.
Unlock the potential of Generative AI with our comprehensive course, "LLMOps - Generative AI - MLOps - AIOps Masterclass 2025" From understanding the fundamentals to deploying advanced applications, this course equips you with the knowledge and skills to thrive in the era of artificial intelligence.
Here's how your learning journey look like (Section wise) :
Introduction to Course: Dive into the world of LLM Ops with "Introduction to LLM Ops with Prompt Engineering." Gain insights into the foundations of LLM Operations and the significance of Prompt Engineering.
Navigating the Generative AI Tsunami: Explore the profound impact of Generative AI on everyday life. From understanding AI fundamentals to exploring its diverse applications, equip yourself with essential knowledge through modules such as "Impact of Generative AI in Day to Day Life" and "Real World Applications of Generative AI."
Getting Started with Generative AI: Delve deeper into Generative AI concepts with modules covering topics like "Generative vs Discriminative Models" and "Real World Applications of Generative AI." Get hands-on experience and unlock the potential of this transformative technology.
Prompt Engineering: Uncover the secrets behind Prompt Engineering and understand its widespread attention in the world. Learn about the architecture, components, strategies, and techniques of Prompt Generation through comprehensive modules tailored for practical implementation.
Technical Details of LLM: Gain a profound understanding of LLM and its underlying principles. Explore topics such as LLM training, enterprise applications, and the idea behind LLM through detailed modules designed to enhance your technical expertise.
Project 1 - Building LLM Application using ChatGPT: Put your knowledge into action by embarking on a project to build an LLM application using ChatGPT. From prerequisites to deployment, this project will guide you through every step of the process, ensuring hands-on learning.
Packaging the AI/ LLM Application: Learn to package and deploy AI applications efficiently with modules covering FastAPI, Docker, and more. Master the art of containerization and streamline your deployment process with industry-standard practices.
Deploying the Container Application with Kubernetes: Discover the power of Kubernetes in deploying and orchestrating containerized applications. From installation to scaling, learn the ins and outs of Kubernetes deployment and enhance your proficiency in container management.
Github Actions: Explore the capabilities of GitHub Actions in automating workflows and enhancing collaboration. From introduction to implementation, master the art of configuring workflows tailored to your specific use cases.
Setting Up Kubernetes on Google Cloud: Unlock the potential of Google Cloud Platform for Kubernetes deployment. From setting up your account to testing deployment files, gain practical insights into running applications on GKE clusters.
Implement CI/CD with Github Actions - GKE: Optimize your development pipeline with continuous integration and continuous deployment. Learn to configure GitHub Secrets, adhere to industry standards, and streamline your deployment process for seamless project management.
Introducing Hugging Face Library: Discover the versatility of the Hugging Face Library in building AI applications. From text classification to finetuning models, explore the vast possibilities offered by this powerful toolkit.
Project 2 - Building Generative AI App using Hugging Face: Put your Hugging Face skills to the test with a project focused on building a Generative AI application. From understanding text generation pipelines to setting up CI/CD pipelines, elevate your expertise in AI development.
Monitoring of LLM Models in Production: Ensure the reliability and performance of LLM models in production with monitoring techniques. Explore platforms like WhyLabs and Langkit to gain insights into monitoring and optimizing LLM applications.
LLMOps Basics: Master the basics of LLM Ops with modules covering version control systems, Git setup, and CICD demonstrations. Strengthen your foundation in LLM Ops and prepare yourself 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.
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Tracking since 15 Nov — not enough history yet to tell you whether today's price is any good. Watch the course and we'll tell you when it drops.
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