AI Foundations & Engineering
Master LLM engineering fundamentals. From tokenization and embeddings through RAG systems, fine-tuning with QLoRA, and production deployment. 6 deep-dive stages with hands-on projects using Claude, GPT, Ollama, LangChain, Chroma, and HuggingFace.
- Full access to all 6 stages
- All code examples & projects
- Every TechNodeX course included
- New content as it's released
- Community access
500 founding spots available. Price locks in forever.
Course Stages
Neural Networks & Transformer Internals
Deep dive into the transformer architecture, self-attention mechanisms, tokenization strategies, embeddings and vector geometry, parameters vs. compute, training dynamics. Includes exercises with tiktoken and visualizations of attention heads.
Running Open-Source Models Locally
Ollama, LM Studio, vLLM. Download and run Llama, Mistral, Qwen, Phi locally. Compare model family performance, quantization strategies (GGUF, GPTQ), memory requirements, inference speed benchmarks. Build a local multi-model inference server.
Vector Embeddings & Semantic Search
Encoder models (sentence-transformers, OpenAI embeddings), vector similarity metrics (cosine, dot product, L2), dimension reduction (PCA, UMAP), semantic search from scratch, FAISS vs. Chroma vs. Weaviate, hybrid search combining BM25 with vectors.
Building Production RAG Systems
Complete RAG architectures: chunking strategies (recursive, semantic), LangChain integration, document ingestion pipelines, multi-hop retrieval, re-ranking for relevance, prompt compression, RAG evaluation metrics (MRR, nDCG, retrieval precision). Build a production-ready system.
Fine-Tuning & Model Adaptation
QLoRA and LoRA parameter-efficient fine-tuning, HuggingFace SFT Trainer, dataset curation and cleaning, DPO (Direct Preference Optimization), instruction tuning, domain adaptation, LoRA composition, Weights & Biases experiment tracking and evaluation.
Production Deployment & Evaluation
LLM evaluation frameworks, LLM-as-judge pattern, structured outputs (JSON schema), error handling and retry strategies, serverless deployment (Modal, Together AI), model monitoring, cost optimization, building agentic systems with guardrails and tool calling.
What You'll Be Able to Build
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