Introduction to AI & Development Utilities
Demystifying AI Jargon
Go beyond buzzwords and gain the confidence to discuss AI strategy with colleagues and leadership, positioning yourself as an informed resource.
Understanding LLMs
Learn the core capabilities and limitations of Large Language Models (LLMs) to accurately scope AI projects and determine when an LLM is the right tool for a business process.
Tooling Setup
Get familiar with the essential environments you'll need to start prototyping AI solutions immediately.
The Art of Conversation - Mastering Prompt Engineering
Crafting Effective Prompts
Learn systematic techniques to unlock maximum performance, enabling you to automate tasks like summarizing legal documents, generating compelling marketing copy, or instantly converting natural language into code (code generation).
Taming Model Behavior
Master advanced strategies to guide models for specific, reliable outputs, ensuring your AI applications reduce errors and maintain brand consistency in customer-facing interactions.
Hands-On Model Workshop - Proprietary, Open-Weight, and Small Models
Hands-on Using Proprietary Models
Gain practical experience integrating state-of-the-art models to build high-performance applications like advanced customer service bots or nuanced content creators.
Hands-on Using Open-Weight Models
Learn how to deploy and utilize customizable open-source models, enabling you to control costs and ensure data privacy by running powerful AI models locally or on private cloud infrastructure.
SMoL Models (Small Models)
Discover how small, specialized models can be used for cost-efficient, low-latency tasks, making AI viable for high-volume processes like real-time data classification or mobile device deployment.
Architecting Intelligent Applications
Building Apps with AI Agents
Learn to design multi-step applications that execute complex workflows, giving insight to automate entire business processes.
Challenges with AI Apps
Understand real-world obstacles (hallucinations, security, cost) to build robust, production-ready AI tools that meet enterprise standards and genuinely solve user problems without constant babysitting.
Data Integration - AI for Analytics and Retrieval-Augmented Generation (RAG)
AI for Data Analytics
Leverage LLMs to instantly summarize complex reports, generate quick visual analytics code, and derive actionable insights from internal datasets faster than traditional methods.
Introduction to RAG
Understand RAG to ground LLMs in your organization's private documents, like internal handbooks or research papers, ensuring the AI's responses are accurate, current, and relevant to your specific business context.
Hands-on RAG Implementation
Build a working RAG assistant, enabling you to create a powerful internal knowledge search engine or specialized HR assistant that can accurately answer questions based on company policy.
The Future of Automation - Agentic AI
AI Agents & Agentic AI
Dive into the architecture of autonomous AI systems. Learn how to design complex, long-running agent systems that can tackle high-value automation tasks like financial modeling, or synthetic podcast generator, dramatically increasing organizational efficiency.