AI & LLM Engineering Mastery - GenAI, RAG Complete Guide
1.299 students enrolled
This specialization features Coursera Coach! Learn interactively through real-time conversations to test your knowledge, challenge assumptions, and deepen understanding. You will gain the skills to master AI and Large Language Models (LLMs), focusing on Generative AI (GenAI) and Retrieval-Augmented Generation (RAG). Through hands-on projects, you’ll build AI applications that process large datasets and generate meaningful outputs. By the end, you'll develop AI systems capable of understanding context, generating content, and integrating with various data sources. The course begins with setting up your development environment and reviewing Python fundamentals. You’ll then learn about LLMs, GenAI, and RAG architecture, before moving on to building and fine-tuning AI models. Topics include prompt engineering, API integration, and creating chatbots, summarizers, and personalized AI models. Designed for developers, data scientists, and AI enthusiasts, this course is for those with basic programming knowledge who want to explore advanced AI techniques. By the end, you'll be able to set up your environment, build LLM-based applications, and integrate RAG for AI-driven solutions.
CERTIFICATEKatılım Sertifikası
FORMAT100% Online
DURATION1 ay
What you'll learn
OpenAI API
Generative Model Architectures
Hugging Face
Object Oriented Programming (OOP)
AI literacy
Artificial Intelligence and Machine Learning (AIu002FML)
AI Integrations
Retrieval-Augmented Generation
Embeddings
User Interface (UI)
Memory Management
Debugging
Course Content
3 topics
Kurs 1Foundations of AI, LLMs, and Development Environments
Kurs 2Advanced Prompt Engineering and Memory Management
Kurs 3Building and Fine-Tuning LLM Applications
Details
ProviderPackt
TypeCourse
CategoryData Science & AI
LevelIntermediate
Duration1 ay
LanguageEnglish
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Melis Gülsar
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