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Hamel Husain and Shreya Shankar – AI Evals For Engineers & PMs

Original price was: $3,500.00.Current price is: $149.00.

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Introduction

Artificial Intelligence has rapidly transformed from an experimental research field into a mainstream technology powering everyday tools and businesses. However, with the rise of generative AI, LLMs (Large Language Models), and applied ML systems, evaluating these models has become one of the biggest challenges for product managers, engineers, and researchers.

This is where the Hamel Husain and Shreya Shankar – AI Evals For Engineers & PMs Course comes into play. Designed by two leading experts in AI product development and evaluation, this course teaches not just how to build AI systems, but how to properly evaluate them for real-world performance, trust, and reliability.

Whether you’re an engineer responsible for deploying AI or a product manager shaping AI-driven features, this program is tailored to help you bridge the gap between technical AI advancements and product needs.


About the Instructors

Who is Hamel Husain?

Hamel Husain is a well-respected figure in the AI and ML community, known for his work on applied machine learning and open-source contributions. With extensive experience at GitHub, Airbnb, and other leading tech organizations, Hamel specializes in building practical AI systems that scale. His focus on evaluation frameworks and applied workflows makes him uniquely positioned to guide professionals on this critical topic.

Who is Shreya Shankar?

Shreya Shankar is a researcher and practitioner deeply involved in the domain of machine learning evaluation and reliability. She has contributed to multiple projects that highlight the limitations of ML models in production, and her insights into robust evaluation frameworks help teams build more trustworthy AI systems.

Together, Hamel Husain and Shreya Shankar bring a blend of research-backed rigor and industry-proven strategies, making this AI Evals For Engineers & PMs coaching program an invaluable resource.


Why Evaluation is Critical in AI

Before diving into the specifics of the course, let’s understand why evaluation is so important.

Most engineers and PMs focus heavily on training models, fine-tuning parameters, or improving architectures. But in the real world, a model’s true success lies in:

  • How well it performs across different user segments

  • Its ability to generalize to unseen data

  • Whether it aligns with business goals

  • How reliable and explainable it is in production

Without structured evaluation frameworks, AI models often fail when deployed, leading to poor user experiences, biased outcomes, and wasted resources. The Hamel Husain and Shreya Shankar course directly addresses these pain points.


Course Overview: AI Evals For Engineers & PMs

The AI Evals For Engineers & PMs Course is designed to make evaluation a first-class citizen in AI development. Unlike most machine learning courses that stop at training and deployment, this program emphasizes:

  1. Evaluation Metrics for AI Systems – Going beyond accuracy and F1-score to cover nuanced metrics like fairness, robustness, interpretability, and safety.

  2. Human-in-the-Loop Evaluations – Practical methods for incorporating user feedback and subject matter expertise into AI validation.

  3. Building Reproducible Evaluation Pipelines – Tools and techniques to ensure evaluations are consistent and reliable across environments.

  4. Product-Centric AI Evals – Tailoring evaluation to align with product goals, user needs, and organizational strategy.

  5. Case Studies – Real-world examples from AI systems deployed at scale, showing what works and what doesn’t.

This is not just theory — it’s a hands-on coaching experience that guides participants step-by-step in implementing evaluation best practices.


Who Should Take This Course?

The Hamel Husain and Shreya Shankar coaching program is not limited to data scientists. It’s built for a broader set of professionals who engage with AI-driven products.

  • Engineers: Learn how to embed evaluation frameworks into the AI development lifecycle.

  • Product Managers: Gain the ability to ask the right questions and make data-driven decisions about AI product trade-offs.

  • AI/ML Practitioners: Understand how to validate models beyond the lab and prepare them for real-world usage.

  • Founders & Decision-Makers: Discover how evaluation impacts ROI and product adoption.


Unique Features of the Course

  1. Expert-Led Instruction
    Direct learning from Hamel Husain and Shreya Shankar, who combine research and industry perspectives.

  2. Hands-On Coaching
    Participants don’t just watch videos — they build evaluation pipelines and frameworks under guidance.

  3. Comprehensive Coverage
    Covers both technical evaluation techniques and strategic decision-making for AI-driven products.

  4. Community & Collaboration
    Access to a peer group of engineers and PMs facing similar challenges, encouraging collaborative problem-solving.

  5. Actionable Outcomes
    By the end of the course, participants are equipped with frameworks that can be directly applied to their own teams and products.


How to Get the Course

For those looking to buy now, the official registration page offers access to all course modules, live coaching sessions, and downloadable resources. Some participants also look for the Hamel Husain and Shreya Shankar – AI Evals For Engineers & PMs download option for offline learning, but the recommended method is to enroll directly through the verified platform to access updates and instructor support.

If you’re exploring Hamel Husain and Shreya Shankar coaching, this course is the ideal entry point to learn directly from them in a structured, high-value format.


Benefits of Enrolling

  1. Stay Ahead of the Curve – Evaluation is an emerging field, and few professionals have deep expertise in it. This gives you a career edge.

  2. Improve AI Reliability – Build models that actually perform in production, not just in experimental benchmarks.

  3. Enhance Product Success – PMs gain the knowledge to align AI models with real business goals.

  4. Boost Team Efficiency – Reduce wasted cycles on models that won’t work in the real world by evaluating early and effectively.

  5. Career Advancement – Whether you’re an engineer or a PM, having this skill set makes you indispensable in AI-driven organizations.


Real-World Applications

The lessons from the AI Evals For Engineers & PMs course apply across multiple industries:

  • Healthcare: Ensuring diagnostic AI tools work fairly across diverse patient populations.

  • Finance: Evaluating fraud detection systems for robustness against adversarial behaviors.

  • E-commerce: Validating recommendation systems for unbiased and relevant product discovery.

  • SaaS Products: Ensuring AI features align with user workflows and improve productivity.

By enrolling, you gain the ability to bring these frameworks into your own domain.


Why Choose This Course Over Others

Unlike general ML courses that stop at training models, the Hamel Husain and Shreya Shankar course is uniquely positioned to focus exclusively on evaluation. This makes it a rare and highly valuable program for anyone building AI products.

Furthermore, since both instructors are recognized thought leaders in the AI evaluation space, learners get cutting-edge insights unavailable elsewhere.


Final Thoughts

AI is only as powerful as its ability to perform reliably in the real world. That reliability comes from structured, thoughtful evaluation. The Hamel Husain and Shreya Shankar – AI Evals For Engineers & PMs Course empowers engineers and PMs to build AI systems that aren’t just experimental but are trusted, effective, and aligned with business goals.

If you’re ready to take your AI career or product to the next level, buy now and gain direct access to expert coaching. Whether you’re looking for AI Evals For Engineers & PMs coaching, exploring Hamel Husain and Shreya Shankar coaching, or searching for a structured course download, this program is your gateway to mastering AI evaluation.

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