Artificial Intelligence
Training & Workshops
Exploring the practical applications of enterprise AI, this area enables data experts to leverage LLMs and agentic workflows to drive measurable business value. Training covers a broad spectrum, moving from AI strategy and process automation identification to advanced technical implementations like architecting multi-stage agentic workflows, deploying MCP Servers, LangChain orchestration, advanced Claude Code applications, and building conversational analytics for self-service.
AI Strategy for Leaders
Separate AI hype from real value: assess readiness, find the right processes, and plan your first agents.
Scalefree
The AI Strategy & Data-Ready Foundations
The AI shift is already on your clients’ agenda. This highly interactive workshop covers core definitions, Agentic AI, and strategic frameworks to assess your clients’ readiness and needs.
Scalefree
AI Process Automation: How to Identify, Plan, and Deploy Agentic Workflows
Sort AI hype from real business value. Learn where AI agents drive efficiency, then deploy your first agents with a step-by-step framework built around quality control. Designed for managers and business leaders.
Build AI Agents
Design, connect, and deploy production-grade agents that work securely with your enterprise data.
Scalefree
Architecting Agentic Workflows
Give your clients the edge with AI agent orchestration. This intensive course blends theory and hands-on labs across the full agent lifecycle for the skills to design, build, and deploy robust multi-stage agents.
Scalefree
Enterprise AI Architecture: MCP Servers, Semantic Layers & Agentic Loops
Develop AI agents from prototype to production. Go beyond basic prompting with courses aimed at senior developers and architects built around secure MCP server integration, semantic layers, and NL2SQL workflows.
Scalefree
Mastering LangChain: Architecting Production-Ready Agentic Frameworks
Go beyond basic chains and build agents that last. Use LangChain to architect autonomous multi-agent workflows with reasoning, memory, and tool execution, plus stateful orchestration and deployment.
Scalefree
Conversational Analytics: Deploying GenAI and LLMs for Self-Service Data
Provide greater transparency for your stakeholders. Build secure, context-aware Natural Language Processing (NLP) interfaces so non-technical users can query, analyze, and visualize data in plain conversational text.
AI-Assisted Engineering
Bring coding agents into your daily development and data engineering workflow.
Scalefree
Engineering with Claude Code: Building Agentic Developer Workflows
Go beyond a smarter autocomplete using Claude Code. Learn how its agentic loop reads your codebase to plan, execute, and iterate, and how to configure it, with live demos and exercises.
Scalefree
Agentic Coding: AI-Driven Automation & Assistance in Data Environments
Empower your data warehouse engineering team with agentic workflows. Learn to use LLMs and agentic frameworks to automate schema generation, code reviews, and pipeline documentation without losing quality.
Artificial Intelligence Trainers
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