Embeddings Courses and Certifications

Career Certificate

LLM Application Engineering and Development Certification

22 ratings at Coursera

Master LLM application engineering with LangChain workflows, fine-tuning techniques, and evaluation benchmarks to build scalable GenAI solutions for real-world deployment.

• Coursera
• 4 weeks, 10 hours/week
• Self-Paced
• Paid Course
• 4 courses

Building Applications with Vector Databases

19 ratings at Coursera

Explore six innovative applications using vector databases, from semantic search to anomaly detection, enhancing your ability to build powerful AI-driven tools with minimal coding.

• Coursera
• 1 hour 3 minutes
• Self-Paced
• Paid Course

Vector Database Projects: AI Recommendation Systems

15 ratings at Coursera

Develop AI-powered recommendation systems using vector databases, Chroma DB, and Hugging Face models. Create food ordering and job search projects to showcase your skills in this high-growth field.

• Coursera
• 6 hours 3 minutes
• Self-Paced
• Paid Course

Career Certificate

Gemini in BigQuery

10 ratings at Coursera

Master Gemini in BigQuery to enhance productivity, build generative AI applications, and implement Retrieval Augmented Generation for more accurate AI outputs within Google Cloud's data environment.

• Coursera
• 4 weeks, 10 hours/week
• Self-Paced
• Paid Course
• 3 courses

LearnKartS Career Certificate

Full Stack Agentic AI

5 ratings at Coursera

Master full-stack Agentic AI by building production-ready systems with RAG, MCP, vector databases, and autonomous agents using Angular, Node.js, and MongoDB.

• Coursera
• 4 weeks, 10 hours/week
• Self-Paced
• Paid Course

Edureka

Building RAG and MCP Servers with Claude

Master production-ready AI systems using Claude, MCP servers, and RAG pipelines. Build agent workflows, implement retrieval systems, and create scalable automated solutions.

• Coursera
• 7 hours 54 minutes
• Self-Paced
• Paid Course

Packt

Master Retrieval-Augmented Generation (RAG) Systems

Master advanced RAG techniques including query expansion, re-ranking, and dense passage retrieval. Gain hands-on experience implementing these methods to enhance document retrieval and answer generation in real-world scenarios.

• Coursera
• 4 hours 48 minutes
• Self-Paced
• Paid Course

Large Language Models with Semantic Search

Enhance search capabilities using LLMs, exploring dense retrieval and reranking techniques to improve relevance and effectiveness beyond traditional keyword-based methods.

• Coursera
• 1 hour 3 minutes
• Self-Paced
• Paid Course

LangChain Course for LLM Application Development

Master LangChain to build scalable retrieval-augmented applications with LLMs, covering Model I/O, embeddings, vector stores, chains, memory, and agents for real-world GenAI workflows.

• Coursera
• 8 hours 6 minutes
• Self-Paced
• Paid Course

Edureka Career Certificate

Building LLMs with Hugging Face and LangChain

Master building production-ready LLM applications using Hugging Face and LangChain, from core concepts through optimization and deployment with modern MLOps practices.

• Coursera
• 8 weeks, 7 hours/week
• Self-Paced
• Paid Course
• 3 courses

LearnKartS

Agentic AI Foundations: Build RAG & MCP Chatbots

Master Agentic AI by building production-ready RAG & MCP chatbots with Angular, Node.js, OpenAI, and Gemini—creating intelligent systems that retrieve, reason, and act autonomously.

• Coursera
• 15 hours 55 minutes
• Self-Paced
• Paid Course

Edureka

Build AI Agents with n8n

Master building AI agents with n8n—covering LLM integration, RAG pipelines, memory, multi-agent orchestration, and production deployment without complex coding.

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

KodeKloud

Introduction to OpenAI

Dive into OpenAI's ecosystem through hands-on projects, mastering text generation, vision capabilities, and advanced features while learning ethical AI implementation and practical applications.

• Coursera
• 8 hours 56 minutes
• Self-Paced
• Paid Course

Alberta Machine Intelligence Institute Career Certificate

Generative AI Fundamentals

Dive into Generative AI fundamentals, from LLMs and Transformers to multimodal generation, building systems from scratch, and deploying responsibly with hands-on Python implementation.

• Coursera
• 8 weeks, 10 hours/week
• Self-Paced
• Paid Course
• 3 courses

Packt

Harnessing Ollama – Create Local LLMs with Python

Master Ollama and Python to build local LLM applications with practical projects like RAG systems, sentiment analysis tools, and voice-enabled interfaces for real-world use cases.

• Coursera
• 6 hours 38 minutes
• Self-Paced
• Paid Course