The most comprehensive, hands-on course on building production-ready LLM applications. Learn from fundamentals to cutting-edge techniques with 11 weeks of intensive training.
This isn't just another LLM tutorial. It's a comprehensive journey from fundamentals to production-grade applications, with real-world projects and cutting-edge techniques.
Learn to build real-world applications that scale. Every lesson includes production best practices, security, monitoring, and cost optimization.
35+ labs and 12 major projects ensure you gain practical experience. Build a complete portfolio of production-ready LLM applications.
Master the latest techniques: RAG, fine-tuning, agents, multimodal LLMs, MoE, constitutional AI, and state-of-the-art architectures.
Learn to build safe, secure LLM systems. Handle hallucinations, adversarial attacks, privacy concerns, and ethical considerations.
Build deep understanding from neural networks to transformers. Implement attention mechanisms, LSTMs, and complete models from scratch.
Graduate with a portfolio of production applications, comprehensive understanding, and skills that make you immediately valuable to any team.
From fundamentals to advanced production systems. Each week builds on previous knowledge with theory, hands-on labs, and real-world projects.
Master transformer architecture, attention mechanisms, tokenization, and domain adaptation. Build deep understanding of how LLMs work.
Master prompting techniques: zero-shot, few-shot, Chain-of-Thought, ReACT, Tree-of-Thoughts. Build sophisticated prompt strategies.
Learn full fine-tuning, LoRA, QLoRA, instruction tuning, and RLHF. Adapt models to specific domains and tasks efficiently.
Build production RAG systems with vector databases, advanced retrieval, reranking, and query optimization techniques.
Master LangChain, LlamaIndex, vector databases, and building complete LLM applications with modern frameworks.
Learn comprehensive evaluation: BLEU, ROUGE, BERTScore, RAGAS, human evaluation, and production monitoring strategies.
Build production systems with agents, memory, tools, multi-agent collaboration, and complex reasoning capabilities.
Master deployment strategies, monitoring, observability, security, compliance, and production best practices for LLM systems.
Address hallucinations, adversarial attacks, alignment, safety, privacy, and ethical considerations in production LLM systems.
Explore cutting-edge: multimodal LLMs, MoE, Mamba (SSMs), advanced agents, and domain-specific models. Prepare for the future.
Build transformers from scratch. Deep dive into RNNs, LSTMs, attention, and modern architectures. Complete technical mastery.
Build a complete, production-ready LLM application. Demonstrate mastery across all course concepts with a portfolio-worthy project.
Each week includes a major project that you can showcase in your portfolio. Build production-ready applications that demonstrate your expertise.
Build a production chatbot with memory, context management, and multi-turn conversations. Deploy with monitoring and user analytics.
Build a sophisticated RAG system with document processing, vector search, reranking, and source attribution for enterprise knowledge bases.
Create a multi-agent system with specialized agents for research, coding, and review. Implement complex task orchestration and collaboration.
Fine-tune an LLM for a specific domain using LoRA/QLoRA. Evaluate performance, optimize inference, and deploy at scale.
Build a production system with comprehensive security: input validation, PII detection, hallucination monitoring, and adversarial defenses.
Implement a complete transformer model from scratch in PyTorch. Train on text data and understand every component of modern LLMs.
Join thousands of developers who have mastered LLMs and built production applications.
"This course transformed my career. I went from basic Python to building production LLM applications in 3 months. The hands-on projects were invaluable for my portfolio."
"The depth of content is unmatched. Building a transformer from scratch gave me understanding I couldn't get anywhere else. Now I'm leading LLM projects at my company."
"Best investment in my career. The production focus and security modules were exactly what I needed. I got hired as an LLM engineer 2 weeks after completing the capstone!"
Join thousands of developers building the future with LLMs. Start your journey from fundamentals to production expertise.