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Certification

Certification in Building Gen AI Applications with RAG and AI Agents

Get certified in practical generative AI: design and deploy LLM-powered RAG apps, build AI agents, and run local models that automate tasks, improve workflows, and support data-driven decisions in real projects at work.

Exam of 10 to 20 questionsCertificate for LinkedInBeginner · Intermediate

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 15 chapters of the course

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

  1. 01Introduction, history and types of AI8:45
  2. 02Agentic AI explained15:07
  3. 03Introduction to generative AI38:06
  4. 04Generative AI value chain19:13
  5. 05Generative AI hands-on48:54
  6. 06Transformer architecture explained107:05
  7. 07Transformers library6:22
  8. 08Hugging Face tutorial112:53
  9. 09Inference pipeline103:33
  10. 10Introduction to RAG26:24
  11. 11How RAG works37:41
  12. 12RAG with LangChain32:44
  13. 13Prompt templates using LangChain36:11
  14. 14Accessing open-source AI models10:11
  15. 15AI agents and tools103:46
About the course

Gen AI for Beginners: From LLMs to RAG and AI Agents is a hands-on video course that walks you through generative AI from the ground up, no prior experience needed. You'll walk away with real, usable skills that boost your productivity, give you a serious competitive edge, and set you up for a future-proof career in a field that's only growing. If you've been looking for a practical, no-nonsense way to finally understand and build with AI, this is your starting point.

This certification covers the following topics:

  • What Artificial Intelligence Really Is
  • A Quick Tour Through AI History
  • The Three Flavors of AI
  • A Deep Dive Into Transformers
  • Anatomy of a Large Language Model: From Raw Text to Chatbot
  • Open, Closed, and Everything In Between
  • Prompt Engineering: The Cheapest Trick for Better Outputs
  • Retrieval-Augmented Generation: Grounding Your Model in the Real World
  • Building With LangChain: Your First Real AI Application
  • Running Models Locally: Ollama and the Open-Source Advantage
  • Agents: Where AI Stops Answering and Starts Doing

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.