Notice
Tag: Maven
Maven – Become an Agentic Architect
In 2026, engineering value is shifting from task execution to orchestration and systems thinking. Anthropic’s research shows that being a software engineer increasingly means orchestrating agents that write code, evaluating their output, and ensuring the system solves the right problems—not just writing more code yourself. The gap between early adopters and everyone else is widening fast.
Maven – AI Problem Framing for Agentic AI
AI Problem Framing is to AI teams what System Design is to software engineers and Product Sense is to PMs. Whether you’re building, evaluating, or leading AI work, this is the foundational thinking skill that separates results from rework.
End-to-End AI Engineering Bootcamp (Complete)
The End-to-End AI Engineering Bootcamp is an 8-week, cohort-based experience designed to turn technical professionals into full-stack AI engineers who can confidently design, build, and deploy production-grade AI systems.
How AI & LLMs Work: A Fast-Track Crash Course for Busy Professionals
Master AI Concepts with a Real LLM Implemented Entirely in a Spreadsheet. No Complex Math. Just Clarity.
Lead Agentic AI Projects Legal and Security Can Trust
Most AI projects are held back not because of technology, but because they fail compliance and safety checks. This system “from pilot to industrial deployment” provides you with the frameworks, language, and tools needed to transition from an AI idea to a safe and compliant implementation.
Elite AI Assisted Coding
Make it code like you do. Turn generic AI assistants into coding partners that actually get your style and have the right context.
Building Agentic AI Applications with a Problem-First Approach
Learn to make decisions tailored to business constraints, understand when & how to apply AI effectively & build a multi-agent application
Analytics Engineering for Data Professionals
Analytics Engineering is the foundation of Data Science and artificial intelligence. This approach represents a dynamic blend of data engineering and analytics, acting as a bridge between these two fields. Analytics engineers are responsible for a significant portion of the data lifecycle: from loading data sources and building data warehouses with corresponding pipelines to integration with business intelligence tools.
Mastering AI Product Strategy: From Ideas to MVP
Discover AI capabilities to design and develop products and user experiences – without a single line of code.
AI-Supercharged Storytelling & Data Analysis for Leaders and Managers
In this course, you will master a step-by-step process: from asking the right questions to creating powerful data-driven stories that will help you achieve your professional and personal goals.
AI Evals For Engineers & PMs
Learn proven methods for quickly improving AI applications. Build AI systems that outperform competitors, regardless of the specific use case.
The AI Engineering Bootcamp
Become an AI Engineer in the world’s leading community for people who want to build, ship, and share production LLM applications 🏗️🚢🚀.
















