LLM Fine-Tuning Masterclass: Custom AI Models with LoRA
Train and fine-tune your own LLMs using LoRA, QLoRA, and PEFT for production applications.
What is RAG (Retrieval-Augmented Generation)?
This revolutionary technique enables AI assistants to access your own data to generate precise and contextual responses. Unlike standard LLMs, a RAG system queries your knowledge base before responding, eliminating hallucinations and ensuring reliable information.
Why is this skill in high demand?
In 2025, companies are investing heavily in generative AI: +185% job postings for developers mastering RAG and LangChain. Salaries for these positions start at $120K/year and can reach $180-220K/year for senior profiles. By 2030, Gartner predicts 80% of companies will use custom AI assistants.
What you'll master
In this 12h 15min course, You will master RAG, multimodal processing (text, image, audio simultaneously), and integration with modern APIs. You will build AI assistants capable of understanding PDF documents, analyzing images, and responding intelligently using your company's own data.
Your achievements by the end
You will be able to deploy a complete AI assistant to production. You will master vector databases (Pinecone, Weaviate), orchestration with LangChain, and best practices for robust, scalable systems. You will master Fine-tuning, LoRA, QLoRA, PEFT.
💡 2025-2030 Outlook: The custom AI assistants market is exploding.
- 2025: Salaries $120-180K/year | Freelance $200-350/hour
- 2027: Demand x3 with massive enterprise adoption
- 2030: Critical skill valued at $200-250K/year for senior experts
Choose the plan that works for you
Get access to this 12h 15min course and develop in-demand skills. Three flexible options.
Complete Bundle
Best value. Get 5 complete courses to master RAG & LLM Assistantsfrom A to Z. Expert support and live sessions included.
All-Access
Unlimited access. All courses from 12 specialties (65 courses). Perfect to expand your skills across multiple tech domains.
Lifetime Access
One-time payment. Permanent access to this course with all updates. Economical option for a single focused skill.
Choose your access
Subscription or one-time purchase
What You'll Learn
Skills You'll Gain
Course Content
Prerequisites
- Python proficiency
- Basic ML knowledge
- GPU access (Google Colab works)
About This Course
Go beyond prompting and learn to customize language models for your specific use cases. This advanced course covers modern fine-tuning techniques including LoRA, QLoRA, and full fine-tuning with Hugging Face Transformers.
By the end of this course, you'll master Fine-tuning, LoRA, QLoRA and much more. The program includes 5 practical modules with 61 detailed lessons, each designed to help you progress quickly and effectively.
Each module contains hands-on exercises, real projects, and concrete case studies. You'll learn not just the theory, but how to apply these skills in real professional situations.
With our subscription bundles, you get additional benefits: monthly live sessions, access to a private community, priority expert support, and continuous content updates to stay current with the latest industry developments.
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