Mastering Multimodal RAG & Embeddings with Amazon Nova & Bedrock
BeginnerLevel
1500+Students Enrolled
5 Hrs Duration
4.8Average Rating
About this Course
- Delve into word embeddings, tokenization, Byte Pair Encoding (BPE), and data sampling techniques to build a strong foundation in natural language processing.
- Learn to utilize Amazon's Titan Text Embeddings for effective text representation, enhancing the performance of AI applications.
- Explore the integration of various data modalities using Amazon Nova and Bedrock, enabling the development of advanced, AI-powered solutions.
Learning Outcomes
Understanding Embeddings
Learn how embeddings enhance NLP and LLM capabilities.
Exploring Multimodal RAG
Master retrieval-augmented generation with multimodal data.
Amazon Nova & Bedrock
Utilize Amazon Nova and Bedrock for AI-powered solutions.
Course Curriculum
Explore a comprehensive curriculum covering Python, machine learning models, deep learning techniques, and AI applications.
1. Introduction to the course
2. Understanding word Embeddings and Tokenization
3. Implementing Byte-Pair Encoding (BPE)
4. Data sampling with a sliding window
1. Exploring Embedding model on Amazon Bedrock
1. Multimodals and Transformers for vision
2. Understanding CLIP
3. Text Generation Multimodals
1. What is RAG
2. What is Multimodal RAG
3. Building Multimodal RAG with Amazon Bedrock, Amazon Nova and LangChain
Meet the instructor
Our instructor and mentors carry years of experience in data industry
Get this Course Now
With this course you’ll get
- 5 Hours
Duration
- Suman Debnath
Instructor
- Beginner
Level
Certificate of completion
Earn a professional certificate upon course completion
- Globally recognized certificate
- Verifiable online credential
- Enhances professional credibility
Frequently Asked Questions
Looking for answers to other questions?
Text embeddings are vector representations of words, phrases, or entire documents that capture their semantic meaning. They are crucial in AI applications such as search, recommendation systems, chatbots, and Retrieval-Augmented Generation (RAG), enabling models to process and compare text efficiently.
Multimodal models process and integrate multiple types of data, such as text, images, and audio, whereas traditional AI models typically focus on a single modality. These models enable applications like visual question answering (VQA), image captioning, and AI assistants capable of understanding both text and images.
Amazon Nova is a multimodal large language model (LLM) developed by AWS that can process text and images simultaneously. It is designed for applications such as AI-powered customer support, content generation, and intelligent search, leveraging embeddings and RAG for enhanced accuracy.
Yes, you will receive a certificate of completion after successfully finishing the course and assessments.
Related courses
Expand your knowledge with these related courses and expand way beyond
2 Hours2 Lessons 4.6
Building and Evaluating RAG System
2 Hours3 Lessons 4.9
Build your first RAG system using Llamaindex
30 Minutes 1 Lesson5
Build a QA RAG system with Langchain
Popular free courses
Discover our most popular courses to boost your skills
2 Hours4 Lessons 4
Agentic : AI Design Pattern
2 Hours6 Lessons 6
Excel : From Beginner to Expert
2 Hours2 Lessons 2
Essential : SQL Skills for Data Beginners
Contact Us Today
Take the first step towards a future of innovation & excellence with Analytics Vidhya
Unlock Your AI & ML Potential
Get Expert Guidance
Need Support? We’ve Got Your Back Anytime!
+91-8068342847 | +91-8046107668
10AM - 7PM (IST) Mon-Sun[email protected]
You'll hear back in 24 hours