Agentic Booster
Learning Path

Future of AI and Society

The emergence of AI represents a fundamental shift. We explore the historical transitions from Steam Power and Electricity to the Information Age, laying the groundwork for understanding how society and economies will adapt to the generative capabilities of the new AI era.

Industry Architecture & Transformations

Deep dive into Enterprise Data & AI Transformation strategy. How core sectors are structurally changing. We will define the specific Agentic AI use cases where the greatest economic impact occurs, notably in Retail and CPG.

Reference AI Architecture & MLOps

Establishing the classical reference architecture. Moving from Traditional Machine Learning—predicting outcomes based on historical data—to a General Target Architecture integrated with enterprise data platforms.

Get Your Data Ready for AI

AI requires a robust data foundation to provide necessary context. We cover the evolution of Distributed Data Platforms and the critical shift toward Data Products and Semantic Layers to avoid the "Data Mess".

Generative AI & RAG Implementation

Moving beyond the basics of LLMs into enterprise-grade Gen AI capabilities. We detail the logical and technical architecture required to ground models securely in proprietary data using Retrieval Augmented Generation.

Agentic Architecture

The frontier of AI. Transitioning from models that "answer" to systems that "act". Learn how to build Multi-Agent Systems (MAS) that reason, use tools, and collaborate to achieve complex business goals.

Agentic Operating Model & Assurance

Technology alone is insufficient. We define the organizational alignment, required skills, and robust governance frameworks necessary to operate autonomous agents securely within an enterprise.

Agentic Transformation Framework

Bridging the gap from prototype to production. Learn how to combine advanced toolsets and standardized processes into a unified platform through the lens of Agentic XOps to achieve true enterprise scale.