Discover how Generative Artificial Intelligence is transforming businesses by driving innovation and efficiency across multiple industries! This hands-on course offers an immersive dive into the world of LL Ms (Large Language Models) and AI Agents, equipping you to create intelligent, automated solutions for real-world business challenges.With the rapid advancement of NLP (Natural Language Processing) and language models, companies and professionals are adopting these technologies to boost productivity and make decisions with greater precision. With this in mind, this course was designed to provide you with a practical, direct, and applicable learning experience. You will learn to implement solutions in Python, with a focus on applying LL Ms to business contexts, but with skills that are versatile enough to be adapted to any real-world challenge.Throughout the course, you will master the key tools and frameworks in the generative AI ecosystem, including LangChain, Lang Graph, Llama Index, CrewAI, Agno, and other open-source solutions. Learn to implement LL Ms via Python AP Is (both free and paid) or locally, exploring models such as Llama, Deep Seek, ChatGPT, Gemini, and more — always with an emphasis on real-world, scalable applications.You will act as a professional tasked with addressing diverse business needs. Through 8 practical case studies, you will be challenged to develop useful, customized applications applying generative AI in:Marketing: Create an AI marketing assistant to scale content creation. Effortlessly adapt text for diverse audiences, platforms, and goals.Customer Service & Support: Develop intelligent chatbots with RAG. Use real documents (e.g., manuals, PD Fs) to provide accurate answers to customer questions.Human Resources: Automatically screen resumes and classify candidate
Log in to write a review
Loading reviews...
Explore more courses and learning paths related to LLMs and AI Agents for Business.
Browse more courses from Udemy
See the side-by-side breakdown and our pick by scenario
See the side-by-side breakdown and our pick by scenario
More advanced-level AI and ML courses
Follow the full Advanced TensorFlow learning path
Browse 350+ structured AI learning paths from beginner to advanced