Certification
Certification: Fine-Tuning LLMs for Generative AI Solutions
Show you know how to use AI—gain expertise in fine-tuning large language models for generative AI applications. Enhance your credentials and demonstrate your practical skills in one of technology’s most sought-after fields.
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 8 chapters of the course
16 multiple-choice questions, drawn fresh for every attempt. Pass with 70% or more.
- 01Introduction1:39
- 02Quantisation intuition32:24
- 03LoRA and QLoRA intuition22:23
- 04Fine-tuning with Llama 224:09
- 051-bit LLMs16:58
- 06Fine-tuning Google Gemma22:12
- 07No-code LLM pipelines20:48
- 08Fine-tuning with custom data on Gradient16:32
The Certification: Fine-Tuning LLMs for Generative AI Solutions offers comprehensive training on optimizing large language models for advanced AI applications. You will gain valuable skills such as increased productivity, adaptability, and a competitive edge in the fast-evolving field of generative AI. Enroll now to unlock higher income potential and ensure your expertise remains future-proof.
This certification covers the following topics:
- Understanding Large Language Models (LLMs)
- Quantization: Reducing Memory Footprint
- Calibration: Mapping Precision Formats
- Parameter-Efficient Fine-Tuning (PEFT) Techniques
- Techniques like LoRA (Low-Rank Adaptation) and ChLoRA
- Practical Application of Fine-Tuning
- Key Differences Between Post-Training Quantization (PTQ) and Quantization-Aware Training (QAT)
- Instruction Fine-Tuning and Its Benefits
- Real-World Applications of Fine-Tuned LLMs
- Common Challenges in Fine-Tuning Large Language Models
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.