Fine-Tuning Large Language Models (LLMs)
Enterprise fine-tuning for domain-specific AI — 10 modules with labs: when to fine-tune vs RAG, LoRA/QLoRA math, SFT pipelines, DPO alignment, vLLM serving, and hybrid copilots. Deepskilling LLM Adapt Track.
4.9
(620 students)
8 Weeks · 90 hours
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What is this course about?
Fine-Tuning Large Language Models (LLMs)
LoRA/QLoRA · SFT · DPO · vLLM · Enterprise Copilots
Decide when to prompt, RAG, or fine-tune—then adapt open models (Llama, Gemma, Qwen) into domain copilots with evaluation evidence and production serving.
What you'll walk away with:
- Decision frameworks for prompting vs RAG vs fine-tuning in enterprise settings
- Math-backed LoRA/QLoRA planning with realistic VRAM budgets
- SFT pipelines, instruction data quality, and DPO/RLHF alignment practice
- Hybrid RAG + fine-tuned serving with vLLM and measurable evals
- An enterprise copilot capstone (Text2SQL, domain QA, RCA, or code)
Course Features
Post Graduate Diploma
8 Weeks of Content
Hands-on Projects
Community Support
Lifetime Access
Student Reviews
Rohan Patel
Amazing LLM fine-tuning course! Learning LoRA, QLoRA, and parameter-efficient methods unlocked advanced AI capabilities. Fine-tuned Llama for production—hired at ₹30 LPA!
Tech MahindraSneha Gupta
Best fine-tuning training! The instruction tuning and RLHF modules with hands-on projects prepared me perfectly. Got hired as Senior LLM Engineer at a top AI startup!
CREDVikram Rao
Outstanding LLM customization program! From adapter methods to full fine-tuning strategies—covered everything. The domain-specific fine-tuning project impressed interviewers!
Wipro TechnologiesAnjali Sharma
Perfect for LLM specialization! The DPO and PPO fine-tuning modules with evaluation strategies set me apart. Promoted to LLM Fine-tuning Lead within 2 months!
Infosys LimitedKarthik Reddy
Excellent fine-tuning specialization! Learning to customize LLMs for enterprise use cases and optimize inference prepared me for production AI. Now leading fine-tuning projects!
CognizantMeera Pillai
Fantastic LLM fine-tuning course! The safety alignment and preference optimization modules taught me responsible AI. Got multiple offers as LLM Customization Engineer!
Capgemini IndiaWilliam Harris
Outstanding fine-tuning training! The advanced adapter methods and memory-efficient fine-tuning techniques were game-changers. Now Senior LLM Engineer at Google!
Google DeepMindEmily Rodriguez
Excellent LLM customization program! The instruction following and chat model fine-tuning lessons were invaluable. Leading fine-tuning initiatives in California now!
OpenAIDaniel Park
Perfect LLM fine-tuning specialization! The hands-on LoRA and QLoRA implementation with real models made me production-ready. Hired as Principal Fine-tuning Engineer!
Anthropic
