Unlock the potential of retrieval-augmented generation (RAG) with this comprehensive learning path. Learn advanced techniques for optimizing text-based RAG through chunking, embedding, and metadata. Master integrating vector databases with large language models and gain hands-on skills in multimodal RAG. Design, implement, and evaluate cutting-edge RAG solutions to stay ahead in AI. Start your journey to elevate your data-driven capabilities today.
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Identify key concepts of RAG and vector databases.
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Optimize for text-based and multimodal RAG.
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Apply new skills in building and deploying RAG solutions.
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Evaluate RAG solutions' performance and effectiveness.
Courses
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1
RAG and Fine-Tuning Explained20mRAG and Fine-Tuning Explained
By: Morten Rand-Hendriksen
This course breaks down the AI concepts Retrieval Augmented Generation (RAG) and fine-tuning to explain how they factor into building robust enterprise applications.
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2
Vector Databases in Practice: Deep Dive1h 50mVector Databases in Practice: Deep Dive
By: Joon-Pil Hwang
Go beyond the basics of vector databases by building a database and app from scratch, and learn key considerations along the way.
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3
Generative AI: Introduction to Large Language Models1h 36mGenerative AI: Introduction to Large Language Models
By: Frederick Nwanganga
Gain a foundational knowledge of how large language models and other Generative AI models work.
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4
LLM Foundations: Vector Databases for Caching and Retrieval Augmented Generation (RAG)1h 33mLLM Foundations: Vector Databases for Caching and Retrieval Augmented Generation (RAG)
By: Kumaran Ponnambalam
Learn about the basics of vector databases and how to use them in LLM caching and retrieval-augmented generation.
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5
Advanced RAG Applications with Vector Databases1h 18mAdvanced RAG Applications with Vector Databases
By: Yujian Tang
Discover cutting-edge methods to perform retrieval-augmented generation (RAG) with a vector database.
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6
Building RAG Solutions with Azure AI Foundry (Formerly Azure AI Studio)1h 24mBuilding RAG Solutions with Azure AI Foundry (Formerly Azure AI Studio)
By: Ziggy Zulueta
Learn to effectively leverage Azure AI Foundry (formerly Azure AI Studio) for the creation of retrieval-augmented generation (RAG) solutions.
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7
Hands-On AI: RAG using LlamaIndex6h 25mHands-On AI: RAG using LlamaIndex
By: Harpreet Sahota
Learn how to enhance AI query capabilities and data accuracy through the application of LlamaIndex in retrieval-augmented generation processes.
Instructors
Morten Rand-Hendriksen
Principal Instructor at LinkedIn | AI Explainer | Technology Critic | Tech Educator | TEDx Speaker | Neurodivergent System Thinker | Dad
Joon-Pil Hwang
Developer Educator @ Weaviate | Data science & tech education
Frederick Nwanganga
Data Scientist, Author, Instructor, and AI Enthusiast.
Kumaran Ponnambalam
AI / ML Leader & Author
Yujian Tang
Guest Lecturer @ Stanford University | CEO @ OSS4AI
Ziggy Zulueta
Microsoft AI Most Valuable Professional | Microsoft Certified Trainer | LinkedIn Learning Instructor | 11x Microsoft Certified | Certified Azure & Power Platform Solutions Architect Expert
Harpreet Sahota
🤖 Hacker-in-Residence @ Voxel51| 👨🏽💻 AI/ML Engineer | 👷🏽♀️ Technical Developer Advocate | Learn. Do. Write. Teach. Repeat.