Module 01
Top 10 Vibe Coding Tools
Master every AI-assisted coding environment reshaping how software gets built — from inline completion to full autonomous agents.
The most rigorous AI engineering program available. Master vibe coding, agentic frameworks, Graph RAG, MCP, AI gateways, SLMs, fine-tuning — and ship production systems that matter.
Our curriculum maps the entire AI engineering landscape — tools, frameworks, protocols, and architectures — as an interconnected system.
Each module solves real engineering problems. You build, deploy, and iterate — not watch.
Master every AI-assisted coding environment reshaping how software gets built — from inline completion to full autonomous agents.
Build autonomous, multi-step AI agent systems. State machines, tool-calling loops, multi-agent collaboration at scale.
Go beyond naive RAG. Knowledge graphs, Graph RAG, hybrid retrieval with re-ranking and semantic routing for complex reasoning.
Build custom MCP servers. Integrate tools, databases, and APIs into any LLM workflow with the standardized Model Context Protocol.
Train, fine-tune, and deploy Small Language Models. LoRA, QLoRA, RLHF, DPO, and distillation for cost-effective domain-specific AI.
Enterprise-grade AI infra — intelligent routing, load balancing, caching, fallbacks, cost control, and full observability.
Robust evaluation pipelines. Guardrails, red-teaming, bias detection, hallucination mitigation, compliance frameworks.
Ship a complete agentic AI system end-to-end. Architecture, testing, CI/CD, monitoring, scaling. Your portfolio-defining project.
Living curriculum. New tools integrated within weeks. Your access never expires.
Structured, phased, cumulative. Ship working systems at every stage.
AI-augmented dev environments. Top 10 vibe coding tools. LLM architectures, prompt engineering, API patterns.
Autonomous agents. Tool-calling, state management, memory, multi-agent orchestration with production patterns.
Knowledge graphs, Graph RAG, MCP servers, context-aware AI with advanced retrieval architectures.
Domain-specific models. LoRA fine-tuning, quantization, distillation, Small Language Models for edge deployment.
Production AI infrastructure. Portkey gateways, observability, cost management, fallback routing, enterprise security.
Design, build, deploy a production agentic AI system. End-to-end — architecture through scaling. Portfolio-ready.
Every tool that matters — covered with depth, not demos.
Every skill top AI teams hire for in 2026. No filler.
Early access pricing, bonus content, priority enrollment, and launch-day perks.
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