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An intensive 8-week executive program designed for working professionals who refuse to be left behind. Master enterprise AI deployment, agentic workflows, and production-ready systems.
*Based on reported outcomes from previous cohorts
Every session is designed around real business outcomes. You'll deploy production systems, build agentic workflows, and leave with tangible assets for your portfolio and your career.
Deploy RAG pipelines, fine-tune models on your own data, and build agentic systems that actually work in enterprise environments. No toy projects.
Work with Claude API, OpenAI, LangChain, LlamaIndex, Pinecone, AWS Bedrock, and the full stack that enterprises actually use.
AI fluency isn't optional anymore. Professionals who master these skills are getting promoted, landing higher-paying roles, and building leverage that compounds. Those who don't are watching their competitive advantage erode in real-time.
This is not beginner content. We assume you're smart, motivated, and ready to do the work. Each week escalates in technical depth and real-world application.
Go beyond surface-level understanding. Explore transformer architecture, attention mechanisms, tokenization strategies, and why certain prompts work better than others at a technical level.
Hands-on: Analyze token distributions, measure context window utilization, and benchmark prompt strategies across different model architectures.
Build retrieval-augmented generation systems from scratch. Understand embedding models, chunking strategies, hybrid search, and how to ground LLMs in your organization's proprietary data.
Project: Deploy a production RAG pipeline on your own documents with Pinecone/Weaviate and measure retrieval accuracy.
Build autonomous AI agents that can plan, execute, and iterate. Understand tool use, function calling, multi-step reasoning, and how to orchestrate complex workflows without human intervention.
Project: Build an agent that monitors data sources, synthesizes insights, and takes autonomous action based on defined triggers.
Integrate vision, audio, and text into unified AI workflows. Build systems that can process documents, analyze images, transcribe meetings, and synthesize insights across modalities.
Project: Build a document intelligence system that extracts structured data from PDFs, images, and handwritten notes.
Train models on your organization's specific use cases. Understand when to fine-tune vs. prompt engineer, how to prepare training data, and how to evaluate model performance systematically.
Project: Fine-tune a model on your domain-specific data and benchmark it against base models on real tasks.
Understand prompt injection, jailbreaking, data leakage, and how to build secure AI systems. Learn enterprise governance frameworks, compliance considerations, and risk mitigation strategies.
Project: Conduct a red-team assessment of your own AI system and implement defensive measures.
Ship AI systems that scale. Understand caching, rate limiting, fallback strategies, monitoring, and how to maintain AI systems in production with proper observability and cost management.
Project: Deploy a production-ready AI system with proper monitoring, logging, and cost controls.
Present your capstone project to industry professionals. Get feedback on your portfolio, develop your AI narrative for career conversations, and leave with a clear 90-day action plan.
Deliverable: A production-ready AI system solving a real business problem, documented for your portfolio.
The March cohort has 8 seats remaining. If you're serious about gaining an AI advantage in your career, now is the time to act. Applications are reviewed within 48 hours.
Common questions about the AI Advantage program.
