Comprehensive courses for mastering AI-assisted development and designing generative AI applications. Evidence-based curricula with measurable outcomes.
A comprehensive, evidence-based curriculum teaching you how to apply AI throughout the software development lifecycle. From LLM fundamentals to enterprise deployment, learn to leverage AI coding tools like Claude Code, Cursor, and more with structured methodologies and measurable outcomes.
Introduction to Large Language Models
Understanding tokens, context windows, quantization, and reasoning models. Learn prompt engineering strategies, when to fine-tune, and how AI agents work. Build the foundation for everything that follows.
AI-Powered Coding Assistants
Deep dive into Cursor, Claude Code, and Kilo. Master the Model Context Protocol (MCP), understand tool architectures, and learn planning modes. Choose the right tool for your workflow.
Structured AI-Assisted Development
Learn three proven methodologies: Vibe Coding, Spec-Driven Development, and BMAD Method. Evidence-based decision frameworks, context management strategies, and measured anti-patterns to avoid.
Real-World Implementation
Apply everything you've learned to build actual features. Practice with different tools, methodologies, and workflows. Learn through doing with guided exercises and real codebases.
Team Workflows & Enterprise Deployment
Cost management, large codebase strategies, AI code review pipelines, team collaboration patterns, and security compliance. Deploy AI tools at scale with confidence.
Multi-Agent Systems & Orchestration
Advanced patterns for complex workflows, cross-tool orchestration, custom hooks, and specialized MCP servers. Push the boundaries of what's possible with AI-assisted development.
A comprehensive course on designing and building generative AI components, integrating AI capabilities into modern applications, and architecting production-ready AI systems.
Status: This course is currently in development
🚀 Course materials and curriculum are being finalized. Contact us to be notified when it launches.
Comprehensive AI Application Design
This course will cover prompt engineering patterns, LLM application architecture,
RAG systems, vector databases, production deployment strategies, and integrating
generative AI into existing systems.
Building AI-Powered Features
Learn to design and implement AI-powered features including chatbots,
content generation, code assistants, and intelligent workflows.
Focus on practical patterns and production-ready implementations.
Production AI Systems
Architecting scalable AI systems, managing costs, security compliance,
monitoring and observability, and integrating AI into existing enterprise
infrastructure.
Our course is built on 2025 research from Anthropic, MIT, GitHub, Cursor, and industry leaders. You'll learn proven patterns backed by real metrics: 50%+ productivity gains, 72% bug reduction, 90% cost savings with proper implementation. No theory without practice, no claims without evidence.
Join our professional development programs for AI practitioners. Whether you're mastering AI-assisted development or designing generative AI applications, we have courses for you.
Application of AI in SDLC: Starts January 17th, 2026
⚠️ This run is sold out. Interested in the next cohort? Contact us to get notified.
Designing AI Applications: Contact us to be notified of launch date.