Embeddings Courses and Certifications

Edureka Microcredential

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 a week
• On-Demand
• Paid Course
• 3 courses

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
• 3 hours 25 minutes
• On-Demand
• Paid Course

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
• On-Demand
• Paid Course

Alberta Machine Intelligence Institute Microcredential

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 a week
• On-Demand
• Paid Course
• 3 courses

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
• On-Demand
• 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
• On-Demand
• 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
• On-Demand
• 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
• On-Demand
• 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
• On-Demand
• 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
• On-Demand
• 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
• On-Demand
• 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
• On-Demand
• 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
• On-Demand
• Paid Course

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
• On-Demand
• Paid Course

Coursera

Text Generation with Cohere: Recognizing Similarities

Learn to analyze semantic similarity and generate text using Cohere's API. Integrate AI-driven language models into Python scripts for practical text analysis and creative content generation.

• Coursera
• 2 hours 30 minutes
• On-Demand
• Paid Course