LLMOps Masterclass 2026 - Generative AI - MLOps - AIOps (Udemy.com)
Unlock the Future: Mastering Generative AI, MLOps, AIOps - LLMOps with Open AI and Hugging Face Models Deploy to Prod
Created by: Manifold AI Learning
Last updated January 2026
What you will learn
- Gain a deep understanding of Generative AI, including its impact on daily life and real-world applications.
- Explore fundamental concepts such as AI levels, types, and the difference between generative and discriminative models.
- Learn about Prompt Engineering, including its architecture, components, and techniques for prompt generation.
- Understand the technical details of Language Model (LLM), its training process, and its enterprise applications.
- Develop hands-on experience by building LLM applications using ChatGPT and Hugging Face Library.
- Master the art of packaging and deploying AI applications using technologies such as FastAPI, Docker, and Kubernetes.
- Implement continuous integration and continuous deployment (CI/CD) pipelines using GitHub Actions, ensuring efficient project management.
- Explore monitoring techniques for LLM models in production, ensuring their reliability and performance.
How it compares
Against the other 461 rated Udemy courses in Data Science on CourseDuck:
- Rating4.4 out of 5higher than 28% of them
- Reviews2,019#92 of 462 by number of reviews
- Length16.6 hourslonger than 74% of them
- Last updatedJanuary 2026more recently than 58% of them
Course Description
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.
Instructor Details
- 4.4 Rating
2,019 Reviews
Manifold AI Learning
We help ML engineers level up from building demos to shipping production-grade agentic AI systems.
Background:
- 13+ years in software/ML engineering
- Built and debugged production agents serving millions of requests
- Reduced agent costs from $45k/month to $8k/month through systematic optimization
- Created the "Agentic AI Enterprise Bootcamp" for senior engineers
Teaching Philosophy: "Systems ship. Demos don't."
We teach the trade-offs, failure modes, and cost-aware thinking that separate senior engineers from junior ones. My courses focus on production realities—not just theory.
What Students Say: "
Nachiketh doesn't just teach patterns—he teaches when NOT to use them. That's the senior-level thinking I needed."
"Finally, an AI course that respects my experience. No fluff, just battle-tested frameworks."
Connect with us on LinkedIn and YouTube for weekly insights on shipping AI to production.
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Reviews
By Satish Dewangan on 8/11/2026
nice and simple explaination of technical concepts
By Rasha Khaled Musaed AL Huthaifi on 7/15/2026
I love how detailed, informative and everything explained practically step by step
By Raghunath Barik on 7/2/2026
It seems very theoritical rather than practical experience on Generative AI
By Samrat Mukherjee on 6/12/2026
Absolutely. Fantastic Course covering all the key aspects in detail.
By Visweswer S on 6/4/2026
too long. however detailed. it miss more on bps operations related knowledge. on how to utilize prebuilt agent enterprise applications and platforms such as sap or sales force
By Ashutosh Nayak on 5/14/2026
Excellent content and explanations, very informative.
By Chandan Kumar Jana on 2/26/2026
The material is detailed and the presentation is good.
By Tamajit Das on 2/3/2026
It was a very informative session. Thank you.
By Aditi Agarwal on 1/23/2026
Interesting, learning new concepts like tokenization is not easy, but explained well.
By AARON CHRISTOPHER on 11/11/2025
Excellent Course! Covers every interdependent concept for a full fledged system. Appreciative pace of teaching.
Quality Score
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Overall Score : 88 / 100











