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Certification

Certification in Building and Deploying Enterprise AI Solutions with AWS Bedrock and Nova

Get certified in Enterprise AI Engineering: design and deploy scalable AI solutions using AWS Bedrock and Nova, leveraging embeddings, RAG, and multimodal agents to automate workflows, analyze diverse data, and drive impactful business outcomes.

Exam of 10 to 20 questionsCertificate for LinkedInIntermediate · Expert, technical

The exam

Take the certification exam

Multiple-choice questions about the course. Pass with 70% or more and your certificate is issued at once, with a public page and an "Add to LinkedIn" button.

What the exam covers

2 questions from each of the 10 chapters of the course

20 multiple-choice questions, drawn fresh for every attempt. Pass with 70% or more.

  1. 01Introduction3:45
  2. 02Embeddings in NLP and LLMs31:01
  3. 03Byte-pair encoding64:00
  4. 04Amazon Titan text embeddings30:40
  5. 05Multimodal LLMs16:58
  6. 06CLIP21:56
  7. 07BLIP-225:26
  8. 08Amazon Nova38:11
  9. 09Multimodal RAG45:24
  10. 10Agents with knowledge bases59:02
About the course

The "Enterprise AI Engineering: Embeddings, RAG, and Multimodal Agents with AWS Bedrock and Nova (Video Course)" certification equips professionals to build cutting-edge AI systems using Amazon Nova and Bedrock. Gain practical expertise for increased productivity, improved decision-making, and a future-proof career by mastering advanced techniques in text, image, and video processing, as well as enterprise-scale automation. Enroll today to unlock new opportunities and deliver real value from your organization's data assets.

This certification covers the following topics:

  • Fundamentals of embeddings and their role in AI systems
  • Tokenization techniques, including byte pair encoding and handling out-of-vocabulary tokens
  • Dimensionality and positional embeddings for enhanced data representation
  • Self-supervised learning and data sampling methods for large language model training
  • Amazon Titan Text Embeddings for enterprise-grade applications
  • Design and application of multimodal models for text, image, and video integration
  • Processing images with Vision Transformers (ViT), CLIP, and BLIP-2
  • Leveraging Amazon Bedrock and Nova for enterprise AI development
  • Retrieval Augmented Generation (RAG) and extending it to multimodal data
  • Implementing Bedrock Knowledge Bases for managed RAG solutions
  • Function calling and Bedrock Agents for workflow automation
  • Best practices for deploying and scaling enterprise AI solutions

Jobs this certification suits

Our AI checked this certification against 500 jobs; these get the most out of it. Each job links to its learning path.