Embeddings Courses and Certifications

Board Infinity

Generative AI in Software Development

Explore Generative AI's role in software development, from foundational concepts to practical applications in coding, debugging, and automation using tools like GPT, Gemini, and Copilot, while addressing ethical considerations.

• Coursera
• 4 hours 25 minutes
• Self-Paced
• Paid Course

Scrimba

Build a Movie Recommendation App with OpenAI

Develop an AI-powered movie recommendation app using OpenAI embeddings and vector databases. Create personalized suggestions based on user preferences and moods for individuals or groups.

• Coursera
• 4 hours 35 minutes
• Self-Paced
• Paid Course

Packt

Vector Databases Deep Dive

Dive into vector databases, understanding their principles, applications, and how they differ from traditional databases. Master essential concepts like embeddings, distance metrics, and indexing techniques for efficient data retrieval.

• Coursera
• 5 hours 2 minutes
• Self-Paced
• Paid Course

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

LearnKartS Credential

Full Stack Agentic AI

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

Packt

Natural Language Processing - Transformers with Hugging Face

Master Hugging Face Transformers for NLP tasks including sentiment analysis, text generation, and named entity recognition through hands-on Python implementations and real-world applications.

• Coursera
• 5 hours 53 minutes
• Self-Paced
• Paid Course

Edureka

Develop Intelligent AI Agents with OpenAI

Master building intelligent AI agents with memory, retrieval, and reasoning using OpenAI's advanced capabilities for enterprise-grade contextual understanding.

• Coursera
• 7 hours 49 minutes
• Self-Paced
• Paid Course

Packt

Essential Concepts of Vector Databases

Dive into vector databases, from fundamental concepts to practical implementation with Chroma and Pinecone. Master similarity searches, LLM integration, and modern data management techniques.

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

Packt

Multimodal RAG with GPT – Build Smarter Search & AI Systems

Dive into building advanced AI systems with Retrieval Augmented Generation (RAG) and multimodal technology, combining images and text for smarter search engines, chatbots, and recommendation systems.

• Coursera
• 4 hours 16 minutes
• Self-Paced
• Paid Course

Starweaver

GenAI Data Engineering and RAG Systems

Master advanced data engineering techniques to build enterprise-grade RAG systems that transform raw data into intelligent, context-aware AI applications with vector databases.

• Coursera
• 6 hours 49 minutes
• Self-Paced
• Paid Course

Quick Start Guide to Large Language Models (LLMs): Unit 2

Master optimization, fine-tuning, and AI alignment techniques to customize LLMs for specific needs while balancing performance and cost through advanced prompt engineering.

• Coursera
• 5 hours 24 minutes
• Self-Paced
• Paid Course

Coursera

Grasp Vector DB Basics

Discover how vector databases enable semantic search and AI applications through embeddings, similarity-based retrieval, and strategic decision-making for modern data solutions.

• Coursera
• 1 hour 43 minutes
• Self-Paced
• Paid Course

RAG: Build Apps with LangChain and LlamaIndex

Learn RAG development through hands-on training in retrieval pipelines, Gradio interfaces, and LlamaIndex workflows to build accurate, context-aware AI applications

• edX
• 9 hours
• Self-Paced
• Free Online Course (Audit)

Optimizing Foundation Models

Explore RAG and fine-tuning techniques to enhance foundation model performance using AWS services, vector databases, and agents for multi-step tasks.

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

Board Infinity

AI Systems Design: RAG Pipelines and LLM Architecture

Master enterprise-grade RAG pipelines and LLM architecture—from problem scoping and data strategy to building end-to-end retrieval-augmented generation prototypes with Streamlit UI.

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