Artificial Intelligence is evolving at lightning speed, and organizations worldwide are experimenting with Large Language Models (LLMs), machine learning pipelines, and generative AI tools. While the hype around AI is immense, the real challenge lies in evaluating these models effectively. How do engineers and product managers measure reliability, accuracy, scalability, and alignment with business goals?
This is exactly where the program “Hamel Husain and Shreya Shankar – AI Evals For Engineers & PMs” comes into play. Designed by two experts at the intersection of applied machine learning and product development, this course provides engineers, data scientists, and product managers with the tools and methodologies they need to run robust AI evaluations.
In this guide, we will dive deep into the details of the program, why it is valuable, what makes it unique, and how professionals can use it to sharpen their AI skillset.
Who Are Hamel Husain and Shreya Shankar?
About Hamel Husain
Hamel Husain is a well-known figure in the data science and machine learning community. With experience at GitHub, Airbnb, and DataRobot, he has worked extensively on applied AI solutions, model deployment, and ML infrastructure. He is particularly known for making machine learning accessible to developers and integrating best practices into real-world workflows.
About Shreya Shankar
Shreya Shankar is a researcher and practitioner focusing on machine learning systems and trustworthy AI. With a background in computer science and hands-on work in ML evaluation, she emphasizes reproducibility, accountability, and fairness in AI. Shreya has contributed to both academic research and industry-level projects, making her a strong voice in the world of applied machine learning.
Together, they created the AI Evals For Engineers & PMs program to close the skill gap in AI evaluation for both technical and product roles.
Why AI Evaluation Matters
AI is not just about building models—it’s about ensuring they deliver consistent and reliable outcomes. Engineers and PMs face several challenges when deploying AI into production environments:
-
Performance Uncertainty – LLMs and ML models often behave unpredictably. Evaluation ensures systems are tested across different scenarios.
-
Business Alignment – Engineers may build technically sound models, but without evaluation frameworks, product managers cannot align AI performance with customer expectations.
-
Ethical and Fairness Considerations – Without structured evaluations, biases in AI can go unnoticed.
-
Regulatory Pressures – Governments and organizations are increasingly demanding auditability and accountability for AI systems.
This is why Hamel Husain and Shreya Shankar – AI Evals For Engineers & PMs is a timely course. It equips professionals with the ability to not just build, but validate and monitor AI.
What the Program Covers
The course is designed to give both engineers and PMs a practical, hands-on understanding of evaluation frameworks. The content includes:
1. Foundations of AI Evaluation
-
Basics of why evaluation matters
-
Common pitfalls in model testing
-
Differences between offline and online evaluations
2. LLM-Specific Evaluations
-
Testing large language models with structured datasets
-
Understanding hallucinations and failure modes
-
Designing prompts and test cases for consistency
3. Metrics That Matter
-
Quantitative metrics: accuracy, precision, recall, F1 score
-
Human-in-the-loop evaluation techniques
-
Business-driven KPIs for product teams
4. Building Evaluation Pipelines
-
Tools and frameworks for automated testing
-
How to build reproducible evaluation systems
-
Integrating evaluation into CI/CD for ML models
5. Real-World Case Studies
-
How leading companies evaluate LLMs before launch
-
Lessons from failed AI deployments
-
Best practices engineers and PMs can apply immediately
6. Product Management Perspective
-
Translating technical evaluations into business insights
-
Communicating with stakeholders
-
Setting realistic AI expectations for end-users
By the end of the program, participants gain confidence not only in evaluating models technically but also in shaping product decisions using data-driven insights.
Who Should Join?
The AI Evals For Engineers & PMs course is crafted for:
-
Software Engineers & ML Engineers – to gain structured evaluation frameworks
-
Product Managers – to align AI features with customer needs
-
Data Scientists – to validate models beyond Jupyter notebooks
-
AI Researchers – to study reproducible evaluation pipelines
-
Tech Leaders & Startups – to avoid costly mistakes when shipping AI products
If you are working in a role where AI models influence product outcomes, this program helps bridge the technical-product gap.
Benefits of Learning from Hamel Husain and Shreya Shankar
-
Expertise from Industry Practitioners – Both instructors have worked on real-world ML systems at scale.
-
Bridging Engineering & Product Worlds – Unique focus on collaboration between PMs and engineers.
-
Hands-On Methodology – Practical frameworks instead of just theoretical lectures.
-
Future-Proof Skills – As AI regulations increase, evaluation skills will become essential across industries.
Key Takeaways
-
Learn structured methods for AI evaluation across different use cases.
-
Understand how to measure LLM performance in production environments.
-
Develop the ability to align AI models with business objectives.
-
Gain confidence in communicating evaluation results to stakeholders.
-
Avoid pitfalls that many AI teams encounter when skipping evaluations.
Why This Program Stands Out
Unlike generic AI courses that focus only on building models, the Hamel Husain and Shreya Shankar – AI Evals For Engineers & PMs program uniquely emphasizes evaluation. This makes it highly relevant in 2025 and beyond, when organizations care less about prototypes and more about deployable, trustworthy, and tested AI systems.
By enrolling, engineers gain a toolkit for reliable deployment, while PMs acquire the language to translate evaluation into strategy. This dual approach is rare and makes the program a must-have for ambitious professionals.
Conclusion
AI is powerful, but without evaluation, it can become unpredictable and even harmful. Engineers need structured frameworks, and PMs need clear insights to guide product development. The program Hamel Husain and Shreya Shankar – AI Evals For Engineers & PMs addresses this critical gap by teaching robust evaluation practices that bring confidence to AI deployments.
Whether you’re an engineer, product manager, or leader overseeing AI adoption, this course offers the knowledge and tools required to ensure AI delivers real value.
If you want to stay ahead in the AI-driven world, mastering AI evaluation is no longer optional—it’s essential.
Reviews
There are no reviews yet.