Retrieval Augmented Generation Courses and Certifications

PyCon Israel

Private LLMs and RAG Pipelines in Python

Discover how to build private LLM and RAG systems in Python for air-gapped environments, covering model selection, local vector databases, and optimization techniques.

• YouTube
• 19 minutes
• Self-Paced
• Free Video

MLCon | Machine Learning Conference

Building an Agentic RAG Pipeline

Discover how intelligent agents revolutionize RAG systems by autonomously refining queries and enhancing response accuracy beyond traditional retrieval methods.

• YouTube
• 48 minutes
• Self-Paced
• Free Video

Pinecone

Secure Your RAG Pipelines with Fine-Grained Authorization Using SpiceDB

Discover how to implement fine-grained authorization in RAG pipelines using Relationship-based Access Control (ReBAC) with SpiceDB to ensure users access only authorized data.

• YouTube
• 54 minutes
• Self-Paced
• Free Video

AWS Events

RAG vs MCP - Making the Right Choice for Enterprises

Explore RAG vs Model Context Protocol decision frameworks for enterprise AI architectures with practical AWS patterns and hybrid implementation strategies.

• YouTube
• 13 minutes
• Self-Paced
• Free Video

GeeCON Conference

Avoid Common LLM Pitfalls

Discover techniques to overcome LLM hallucinations, outdated info, and cost issues through grounding, RAG, function calling, and security testing for real-world applications.

• YouTube
• 54 minutes
• Self-Paced
• Free Video

MLCon | Machine Learning Conference

How to Make LLMs Truly Understand Context - Advanced RAG with Knowledge Graphs

Discover how knowledge graphs transform RAG systems to make LLMs truly understand context, improving accuracy while reducing hardware requirements in this 52-minute MLcon session.

• YouTube
• 52 minutes
• Self-Paced
• Free Video

Data Science Conference

From RAG to Riches - Building Enterprise Search Systems with LLMs

Discover how LLMs transform enterprise search from keyword-based to RAG systems, covering embeddings, retrieval strategies, and real-world deployment challenges across industries.

• YouTube
• 1 hour 28 minutes
• Self-Paced
• Free Video

The Power of RAG at Scale: A Year of Explosive Growth and Observability Challenges

Explore Retrieval Augmented Generation (RAG) deployment, scaling with Kubernetes, and LLM observability using TruLens. Learn to assess RAG performance and deploy production-grade LLM applications with cloud-native architecture.

• YouTube
• 22 minutes
• Self-Paced
• Free Video

Donato Capitella

Introduction to Retrieval Augmented Generation (RAG) with LLMs - Part 1

Dive into Retrieval Augmented Generation (RAG) fundamentals and build a practical system using Langchain, GPT-3.5, and ChromaDB to enhance LLM capabilities with external knowledge retrieval.

• YouTube
• 24 minutes
• Self-Paced
• Free Video

Introduction to Retrieval Augmented Generation (RAG)

50 ratings at Coursera

Learn to build a powerful RAG system using Pandas, SentenceTransformers, and LLMs. Hands-on project covers data import, embeddings creation, and integration with Qdrant for advanced AI applications.

• Coursera
• 5 hours 9 minutes
• Self-Paced
• Paid Course

Credential

Microsoft Applied Generative AI Specialization

20 ratings at Simplilearn

Master Azure OpenAI, Copilot Studio, and agentic frameworks through hands-on training. Build LLM applications, learn RAG techniques, and develop AI agents with Microsoft certification.

• Simplilearn
• 16 weeks
• Self-Paced
• Paid Course

Developing LLM Applications with LangChain

14 ratings at DataCamp

Discover how to build AI-powered applications using LLMs, prompts, chains, and agents in LangChain.

• DataCamp
• 3 hours
• Self-Paced
• Free Trial Available

Vector Databases for Embeddings with Pinecone

Discover how the Pinecone vector database is revolutionizing AI application development!

• DataCamp
• 3 hours
• Self-Paced
• Free Trial Available

Developing Applications with LangChain

Learn how to build impactful LLM applications, including RAG workflows and agentic systems, using the LangChain framework!

• DataCamp
• 9 hours
• Self-Paced
• Free Trial Available

From prompt engineering to agentic systems—develop the complete skill set to build AI applications that scale, with an AI tutor by your side.

• DataCamp
• 21 hours
• Self-Paced
• Free Trial Available