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This hands-on course introduces the fundamentals of deep learning, neural networks, and PyTorch—one of the most widely used deep learning frameworks.

Break free from cloud dependency and take full control of your intelligence stack. In this intensive 90-minute session, you will learn how to architect a “Sovereign AI” engine from the ground up.

An AI agent without data is like a brain without a body. To be truly useful, your sovereign AI must be able to read your emails, update your spreadsheets, and manage your emails.

In this 90-minute session, we move beyond static sequences to build dynamic AI Agents. You will learn the mechanics of the n8n AI Agent node, exploring how to give your AI “tools” to interact with the real world and “memory” to maintain long-term context.

In this 90-minute session, you will learn how to perform Knowledge Injection—the process of feeding your own private documents and live web data into an AI’s reasoning process. We will explore Vector Foundations to store and retrieve information efficiently.

One brain is good; a team of specialists is better. As AI tasks grow in complexity, a single “generalist” agent often fails. The solution is Orchestration. In this final 90-minute session, we explore the cutting edge of agentic design: the Model Context Protocol (MCP).

Retrieval-Augmented Generation (RAG) is a powerful architecture for grounding large language models in trusted data—but building a RAG system that works reliably in production requires more than connecting a model to a vector database.

Powerful AI solutions are no longer limited to data scientists and engineers. In this fast-paced 90-minute executive workshop, you will learn how to design and deploy a secure, enterprise-ready private AI assistant—without writing code.

This interactive 90-minute session introduces the AI-First Mindset – a practical framework for thinking like an AI architect rather than an AI user.