Udemy – Master Generative AI: Professional level LLM Application Dev 2025-1

Master Generative AI: Professional level LLM Application Dev. Designed for advanced developers, data scientists, AI enthusiasts, and technology leaders, this comprehensive course will help you master the art of building professional generative AI applications. This program covers everything you need to know about using large language models (LLMs) to create powerful, scalable, and production-ready AI solutions. Whether you’re looking to upgrade your skills or build innovative applications, this course is your gateway to success in an AI-driven future.

What you will learn in the course

• Foundations of Generative AI: Understand the key concepts, architectures, and workflows involved in building generative AI applications.
• Working with Large Language Models (LLMs): Explore leading LLMs like GPT-4, Llama, and more, and learn how to integrate them into real-world applications.
• Recovery Augmented Generation (RAG): Learn the concepts, components, and techniques of implementing RAG to create efficient AI systems.
• Mastering LangChain: Gain hands-on experience with LangChain, including query patterns, chains, memory management, and advanced RAG capabilities.
• Cloud AI platforms: Work with tools like AWS Bedrock, Google Vertex AI, and other platforms to fine-tune and deploy AI solutions.
• Artificial Intelligence Application Development: Building professional applications such as chatbots, sentiment analysis tools, and knowledge systems using advanced frameworks.
• Multimodal AI Applications: Learn how to implement AI systems that integrate multiple data types, including text, images, and structured data.
• LLMOps and Deployment: Understanding LLMOps, optimization techniques, and deployment strategies to create scalable, production-ready AI systems.

This course is suitable for people who:

• AI enthusiasts and developers: Those who want to deepen their understanding of generative AI and learn how to build professional applications using Large Language Models (LLM).
• Machine Learning Engineers: Professionals looking to advance their skills in developing AI applications, particularly in the areas of RAG, LangChain, and LLMOps.
• Data scientists: Individuals who aim to use advanced artificial intelligence techniques to solve complex data-related problems, including building intelligent systems and automation.
• Cloud Engineers: Developers and engineers interested in using cloud platforms like AWS and Google Cloud to deploy AI applications and fine-tune LLM.
• Software developers: Those interested in expanding their expertise to include integrating advanced AI models into software products.
• Entrepreneurs and technology innovators: People who seek to create AI-based solutions and products that can transform industries or solve real-world problems.
• Students and researchers: Those seeking hands-on experience with advanced AI technologies and frameworks to pursue a career or further studies in the field of AI.
• Anyone interested in future-proofing skills: People who are eager to be at the forefront of the growing fields of artificial intelligence and machine learning.