Certification
Certification in Applying AI & LLM Techniques to Solve Business Problems
Get certified in AI & LLM Essentials. Prove you can design token-smart prompts, implement RAG, build agent workflows, and optimize accuracy, cost, and latency,then ship, evaluate, and deploy reliable LLM apps.
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.
- 01Large language models1:28
- 02Tokenization and vectorization2:47
- 03Attention3:07
- 04Self-supervised learning4:45
- 05Transformer2:25
- 06Fine-tuning2:33
- 07Few-shot prompting and RAG3:28
- 08Vector databases2:30
- 09Model Context Protocol2:40
- 10Context engineering and agents3:36
- 11Reinforcement learning5:23
- 12Chain of thought and reasoning models1:54
- 13Multimodal models1:45
- 14Small language models2:03
- 15Distillation and quantization3:10
AI & LLM Essentials: 20 Core Concepts in 40 Minutes (Video Course) is a concise certification that skips the buzzwords and builds practical fluency across the AI stack,from tokens and attention to RAG, context design, agents, and optimization.
By mastering these essentials, you'll gain increased productivity, improved decision-making, competitive advantage, adaptability and growth, and higher income potential,so you can build, deploy, and decide with speed, accuracy, and lower cost.
Enroll now to turn 40 focused minutes into confident, job-ready AI capability.
This certification covers the following topics:
- Large Language Models (LLMs): The Prediction Engine
- Tokenization and Embeddings (Vectors)
- Attention Mechanism and Transformer Architecture
- Prompting and Few-Shot Prompting
- Context Windows, Summarization, and Context Engineering
- Retrieval-Augmented Generation (RAG)
- Vector Databases and Semantic Search
- Fine-Tuning and Reinforcement Learning with Human Feedback (RLHF)
- Chain of Thought (CoT) and Reasoning Models
- AI Agents: From Answers to Actions
- Distillation and Quantization for Efficient Inference
- Multimodal Models and Small Language Models (SLMs)
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.