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Package Description:
This coaching package is designed to give you a clear, practical introduction to AI agents and automation. By the end, you’ll understand the fundamentals, have hands-on experience building a simple agent, and know exactly how to take your next steps. Package topics can include, but are not limited to: Use case exploration: identify opportunities where AI agents and automation can save time, improve workflows, or create value Tool selection and setup: learn the basics of the most accessible frameworks and APIs for getting started quickly Prompt and workflow basics: understand how to design effective prompts, chain tasks, and structure logic for your first agent Guided build: create a simple, functional agent together (e.g., a research assistant, lead-qualifier, or productivity bot) Next steps: roadmap and resources to keep experimenting and building on your own Outcome: By the end of this package, you’ll have both a practical introduction to AI agents and automation and your very first working project. You’ll walk away with the confidence and clarity to continue exploring more advanced builds.
What you'll get from this package
Hands-on guidance during sessions
Starter templates and lightweight code examples
Recommendations for beginner-friendly tools and integrations
A curated starter resource pack
A working prototype AI agent tailored to a simple use case
Additional details
Coaching delivered via live sessions.
Services included:
AI Fundamentals
Talk to a team member
Schedule a call with a Leland team member who can help you explore your options.
Schedule a call
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I build AI agents for real analytics environments - not demos, not proofs of concept. As Director of Business Intelligence and Analytics at Live Nation Entertainment, I've designed and shipped production agent systems that combine LLM reasoning, MCP servers, structured data querying, and document search into workflows that replace manual analytical processes. My hands-on stack includes Databricks, Gemini, Vertex AI Search, Streamlit, and custom MCP server development. I've also built open-source tooling in this space, including a video understanding MCP server using local/free models. I come from a decade-plus background in BI and data engineering, which means I understand the messy reality agents actually have to operate in - legacy data models, inconsistent schemas, stakeholder trust issues, and the gap between what LLMs promise and what they deliver in production. If you're trying to build your first agent, figure out the right architecture for your use case, or get an agent system actually adopted inside your organization - I can help you avoid the mistakes I've already made.
$285
5h of coaching