Udemy – LLMOps Masterclass 2025 – Generative AI – MLOps – AIOps 2025-2

Udemy – LLMOps Masterclass 2025 – Generative AI – MLOps – AIOps 2025-2 Downloadly IRSpace

Apr 27, 2025 - 07:04 Updated: Apr 27, 2025 - 07:04

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Udemy – LLMOps Masterclass 2025 – Generative AI – MLOps – AIOps 2025-2

LLMOps Masterclass 2025 – Generative AI – MLOps – AIOps, 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. 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.

What you’ll 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.

Who this course is for

AI Enthusiasts: Individuals passionate about artificial intelligence and eager to explore advanced topics such as Generative AI and MLOps will find this course valuable in expanding their expertise.
Data Scientists and Machine Learning Engineers: Professionals working in data science and machine learning roles who seek to deepen their understanding of AI operations, including model deployment, monitoring, and optimization, will benefit from this course.
Software Engineers: Developers interested in incorporating AI technologies into their applications and understanding the operational aspects of AI model deployment and management will find this course highly relevant.

Specificatoin of LLMOps Masterclass 2025 – Generative AI – MLOps – AIOps

Publisher : Udemy
Teacher : Manifold AI Learning ®
Language : English
Level : Intermediate
Number of Course : 89
Duration : 16 hours and 38 minutes

Content of LLMOps Masterclass 2025 – Generative AI – MLOps – AIOps

LLMOps Masterclass 2025 - Generative AI - MLOps - AIOps

Requirements

Basic Understanding of Artificial Intelligence: Familiarity with fundamental concepts of artificial intelligence, including machine learning and deep learning, will provide a strong foundation for the course.
Programming Proficiency: Proficiency in at least one programming language such as Python is highly recommended, as many practical exercises and projects will involve coding.
Knowledge of Command Line Interface (CLI): Basic understanding of working with the command line interface will be beneficial for executing commands and managing applications throughout the course.
Familiarity with Git: Understanding the basics of version control systems and Git operations will be helpful for managing project repositories and collaborating with peers.
Cloud Computing Basics: A basic understanding of cloud computing concepts, particularly with platforms like Google Cloud Platform (GCP), will be beneficial for deploying applications and working with Kubernetes.
While not mandatory, having these prerequisites will enhance the learning experience and ensure students can fully engage with the course materials and practical exercises. Additionally, a strong willingness to learn and explore new technologies is essential for success in the LLMOps Masterclass 2024.