Information Retrieval Courses and Certifications

Edureka Career Certificate

Video RAG

Extend retrieval augmented generation to video: extract frames, audio, transcripts, captions, and OCR text; index embeddings, retrieve timestamped moments, and build grounded question answering.

• Coursera
• 8 weeks, 5 hours a week
• Self-Paced
• Paid Course
• 3 courses

Edureka

Video RAG Evaluation and Deployment

Turn Video RAG demonstrations into usable systems: improve retrieval with re-ranking and query reformulation, measure precision, recall, and groundedness, and deploy with FastAPI.

• Coursera
• 3 weeks, 1 hour a week
• Self-Paced
• Paid Course

Edureka

Video RAG Systems

Build Video RAG systems by ingesting and indexing videos, implementing semantic, metadata, and hybrid retrieval, and connecting vector databases to LLMs for grounded conversational answers.

• Coursera
• 3 weeks, 2 hours a week
• Self-Paced
• Paid Course

Packt

Creating AI Assistants with GPT-4o

Build a GPT-4o file-search assistant with OpenAI’s Assistants API to retrieve, extract insights from, and summarize ArXiv papers on AGI.

• Coursera
• 59 minutes
• Self-Paced
• Paid Course

Edureka Career Certificate

Semantic Search with Vector Embeddings

Build measurable semantic search by combining vector embeddings, FAISS indexing, hybrid retrieval, metadata filtering, and reranking.

• Coursera
• 8 weeks, 5 hours a week
• Self-Paced
• Paid Course
• 3 courses

Packt

Elastic Stack Monitoring: Kibana, Beats & Logstash

Practice end-to-end observability workflows: collect logs and metrics with Beats, process them in Logstash, then explore dashboards and alerts in Kibana.

• Coursera
• 14 weeks, 1 hour a week
• Self-Paced
• Paid Course

Ranking Models & Feature Engineering

Build low-latency multi-objective ranking systems with real-time feature hydration, deep PyTorch architectures, bias mitigation, and calibrated outputs.

• Coursera
• 9 weeks, 1 hour a week
• Self-Paced
• Paid Course

Edureka

Retrieval Evaluation and Reranking for Semantic Search

Learn to systematically measure, diagnose, and improve semantic search using retrieval metrics, error analysis, query refinement, and cross-encoder reranking.

• Coursera
• 3 weeks, 1 hour a week
• Self-Paced
• Paid Course

Natural Language Understanding I - Spring 2023

Explores modern natural language understanding through contextual representations, in-context learning, behavioral evaluation, and interpretability methods.

• YouTube
• 15 hours 29 minutes
• Self-Paced
• Free Video

Stanford CS224U - Natural Language Understanding - Spring 2021

Develop robust machine understanding of human language through representations, contextual models, grounding, retrieval, evaluation, and adversarial analysis.

• YouTube
• 13 hours 18 minutes
• Self-Paced
• Free Video

Aleksa Gordić - The AI Epiphany

Will LLMs Kill Search? The Future of Information Retrieval

Nils Reimers explains how retrieval-augmented generation, multilingual embeddings, and reranking are reshaping search.

• YouTube
• 1 hour 7 minutes
• Self-Paced
• Free Video

File System Information Retrieval: fsinfo(), getvalues(), and getxattr() Functions

An introduction to the fsinfo(), getvalues(), and getxattr() filesystem interfaces.

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

Anyscale

Enterprise Vector-based Information Retrieval and Prompt Engineering at Scale Using Open Source on AWS

Explore how open-source technologies on AWS address scale and operational challenges in enterprise retrieval augmented generation.

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

Open Data Science

Semantic Search: Revolutionizing Information Retrieval - Nils Reimers

See how semantic vector representations retrieve relevant documents beyond keyword matching, including across languages and despite synonyms or spelling variations.

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

MLOps.community

Information Retrieval and Relevance: Vector Embeddings for Semantic Search

An exploration of how vector embeddings capture semantic context to improve information retrieval and relevance.

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