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AI Engineering Accelerator - 9 Jun - 23 Jul

7-Week | 8-Course AI Accelerator | Virtual

Begin your accelerator journey with Live and on-demand training to build confidence in the fundamentals. Steadily progress through the Accelerator week with our hands-on training and expert-led sessions and workshops.

Why you start here: Build your unshakeable core. This phase guarantees success, ensuring you confidently grasp essential AI concepts and tools, from basic literacy to advanced AI building blocks.

What you gain: Master AI/Data Literacy, Python, Data Wrangling, Generative AI fundamentals, LLMs, RAG, and the crucial progression to AI Agents, plus Machine Learning basics, through 8 live virtual courses and on-demand training. Gain foundational fluency to accelerate your entire AI journey.

8 VIRTUAL LIVE TRAINING | SESSIONS LENGTH: 2.5 HOURS

6-Week AI Engineering Accelerator

Course of the Week

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Talk

Building the Infrastructure for the AI Workforce

AI is moving fast - shifting from copilots that assist us to autonomous collaborators that can think, act, and improve on their own. This transition is bigger than a simple technology upgrade; it marks the beginning of a true AI workforce, powered by a new software infrastructure built natively for autonomy.

To make this future a reality, we must rethink how core pillars intersect to create systems that are not just intelligent, but reliable and self-evolving:

- Data & Reasoning: Moving beyond static retrieval to dynamic understanding.

- Orchestration: Managing complex, multi-step autonomous workflows.

- Trust & Safety: Ensuring reliability, predictability, and guardrails for independent agents.

From Intelligence to Autonomy - Building the Infrastructure for the AI Workforce

Video of the Month

Featuring 7-Week AI Accelerator Sessions, Agentic AI Summit + MORE

The Art of Clustering: The Good, The Bad and The Beautiful

with Seth Levine, Director of AI Innovation at Contentsquare

Clustering is highly useful, but traditional methods often yield unstable and arbitrary results. This talk introduces a robust, modern workflow using UMAP, HDBSCAN, and datamapplot to handle complex, high-dimensional data. Through real-world examples, you will learn how to surface actionable insights while avoiding common pitfalls. Walk away with a clear mental model for turning messy datasets into explainable business value.

The Data Scientist’s New Mandate: Why AI Governance is Now Part of the Job

https://opendatascience.com/

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