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Certification

Certification: Building, Training, and Deploying Your Own LLM

Show the world you have AI skills by mastering every step of building, training, and deploying your own large language model. Gain practical expertise that sets you apart in the evolving landscape of artificial intelligence.

Exam of 10 to 20 questionsCertificate for LinkedInExpert · 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 12 chapters of the course

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

  1. 01About the course3:03
  2. 02Introduction4:21
  3. 03Training data8:09
  4. 04Tokenization13:27
  5. 05The transformer architecture23:21
  6. 06Pre-training32:25
  7. 07Fine-tuning dataset8:19
  8. 08Instruction fine-tuning33:12
  9. 09Fine-tuning with LoRA14:22
  10. 10Scaling everything49:01
  11. 11Bonus: conversational format17:30
  12. 12Conclusion2:01
About the course

The Certification: Building, Training, and Deploying Your Own LLM provides you with comprehensive skills to create, optimize, and implement large language models from the ground up. By completing this certification, you will gain a competitive advantage, improve decision-making, and future-proof your career in the rapidly evolving AI field. Enroll today to unlock higher income potential and confidently advance your expertise in language model development.

This certification covers the following topics:

  • Data Preparation and Filtering
  • Text Encoding and Tokenization
  • Building the Transformer Model
  • Model Training (Pre-training)
  • Fine-tuning the Model
  • Parameter Efficient Fine-tuning (LoRA)
  • Handling Large Datasets
  • Question Answering (QA) Fine-tuning

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.