0-1 LLM
Certified in Large Language Models
Master the architecture, training, and deployment of Large Language Models. From transformer foundations to building complex agentic systems.
Duration
90 Days
Mode
Hybrid
Starts
May 2026
Program Fee
Go beyond the surface of AI.
Don't just use LLMs; understand how to build and optimize them.
The Architecture
Understand the 'Attention Is All You Need' paper from first principles and build your way up to modern transformer variants.
The Implementation
Learn to fine-tune open-source models like Llama 3 and Mistral for specific tasks using PEFT techniques like LoRA.
Who This Program Is For
For those who want to lead the AI revolution.
Software Engineers
Transition into specialized AI Engineering roles.
Data Scientists
Master the latest in Generative AI and NLP patterns.
Tech Architects
Design and scale enterprise-grade AI infrastructures.
Transformer Blocks
In-depth look at multi-head attention, positional encoding, and feed-forward layers that make LLMs tick.
Vector Databases
Master semantic search and retrieval strategies using Pinecone, Chroma, and Milvus for high-performance RAG.
Efficiency & Speed
Learn quantization (4-bit/8-bit), model pruning, and vLLM for high-throughput production serving.
Fine-Tuning
Hands-on experience with LoRA, QLoRA, and RLHF to customize model behavior and knowledge.
Agentic Systems
Build complex workflows where models use tools, call APIs, and reason through multi-step tasks.
Evaluation
Establish rigorous benchmarks for model accuracy, safety, and performance using industry standards.
Curriculum Overview
A rigorous path from foundation to advanced LLM systems. (Detailed syllabus coming soon)
Foundations & Data Processing
Expert Certification
Validate your expertise in the most transformative technology of our time. This certificate proves your ability to engineer and deploy LLM solutions professionally.