12 expert modules · Interactive quizzes · AI tutor per topic · System design diagrams. Built for engineers who want to actually understand AI — not just use it.
Each module: overview → flashcards → system design → quiz → AI tutor
KV Cache, Flash Attention, MHA/MQA/GQA/MLA, RoPE, Scaling Laws from first principles.
LoRA, QLoRA, DoRA, SFT, DPO, GRPO, ORPO — the complete post-training pipeline.
Hybrid RAG, GraphRAG, Multimodal RAG, Agentic RAG, Caching, Guardrails & Evaluation.
LangGraph supervisor-worker patterns, A2A protocol, human-in-the-loop, agent state management.
Build and deploy MCP servers and A2A-compliant agent systems from scratch. The 2026 enterprise standard.
Student-Teacher paradigm, KL Divergence & Attention Transfer losses, GGUF quantization for edge deployment.
ViT, CLIP, SigLIP, DINOv2, VLM architecture — build multimodal RAG with ColPali.
Whisper architecture, fine-tuning on custom speech data, building production STT pipelines.
MoE architecture, load balancing, training and inference tradeoffs vs dense models.
Self-Instruct, Evol-Instruct, LLM-as-Judge scoring, deduplication, quality filtering pipelines.
Guardrails, PII masking, LLM gateways, JWT/SAML-based RBAC, multi-tenancy & data isolation.
LangSmith, Logfire, Langfuse tracing, AWS EKS, Kubernetes, CI/CD, Docker, cost optimization.