Machine Learning Summit 2025: Applied ML Engineering to GenAI and LLMs

Machine Learning Summit 2025: Applied ML Engineering to GenAI and LLMs

LLMs, Agents, & Real-World ML – 3 Days. 20+ Experts. 100% Practical

By Packt Publishing Limited

Date and time

Starts on Wednesday, July 16 · 7am PDT

Location

Online

Refund Policy

Refunds up to 7 days before event

Agenda

The ML Stack in Action
Scaling ML Intelligence
Enterprise Generative AI

10:00 AM - 10:15 AM

Opening Remarks: “The Edge of ML Frontiers”


Kick off the summit with a look at the evolving ML landscape — from GenAI breakthroughs to responsible and quantum-powered AI. A rapid-fire scan of where we are and what’s next.

10:15 AM - 11:00 AM

Agentic Graph RAG

Anthony Alcaraz


In this session, Anthony Alcaraz will explore how to build intelligent systems using Graph RAG (Retrieval-Augmented Generation) by integrating knowledge graphs, autonomous agents, and neural-symbolic...

11:00 AM - 11:45 AM

TBC


TBC

11:45 AM - 12:30 PM

Autonomous Agents

Imran Ahmad


In this session, Imran Ahmad will unpack the architecture and application of autonomous agents by introducing the Modern Cognitive Pipeline (MCP) and Agent-to-System (A2S) interaction models. He will...

12:30 PM - 1:00 PM

Break

1:00 PM - 1:45 PM

Multimodal AI: Vision, Language, and Audio


Multimodal systems are redefining what intelligence looks like by combining text, images, and audio into unified models that can understand context more holistically. This session will explore key ar...

1:45 PM - 2:30 PM

The Open-Source Edge: Democratizing AI


As open source becomes the backbone of innovation, this fireside chat explores how leading organizations are building and sharing powerful AI tools with the world. From transparent model development ...

2:30 PM - 3:00 PM

Closing Panel: “From Ethics to Alignment: What’s Next for Responsible AI?”


How do we build AI that not only works—but does the right thing? This closing panel brings together experts working on fairness, safety, auditability, and alignment in production systems. Panelists w...

3:00 PM - 4:00 PM

Power Agentic AI with Open-Source Data Pipelines

Andrew Madson


In this session, we will delve into the practical application of cutting-edge technologies to create intelligent agents. You'll learn how to: Utilize Apache Iceberg to manage large-scale analytical ...

About this event

    Join 25+ top AI, ML leaders delivering over 20 sessions across 3 tracks.

    Track 1: Agents and GenAI in Action

    Build intelligent, agentic systems that reason, retrieve, and respond — in production.

    Explore how modern AI agents are evolving beyond prompts, how open-source tools help scale them, and what it takes to deploy cognitive workflows in real-world environments. From graph-powered retrieval pipelines to multimodal systems that blend vision, language, and audio — this track is about putting GenAI to work.

    For: ML engineers, applied researchers, and AI builders exploring agents, LLM orchestration, and GenAI-powered systems.

    Track 2: Applied ML and Improving Model Performance

    Engineer explainable, time-aware, and tabular-first ML models that deliver business value.

    This track focuses on core ML work: modeling tabular data with modern tools, building interpretable systems, designing decision frameworks under uncertainty, and using time-series techniques like zero-shot forecasting. It bridges classic ML domains and emerging AI-driven techniques—helping you deliver faster, smarter, and more explainable models.

    For: Data scientists, ML engineers, and tech leads focused on explainability, real-world performance, and applied ML strategy.

    Track 3: Production-Ready ML Systems

    Scale, monitor, and maintain reliable ML & LLM-powered products in production.

    This track tackles the full lifecycle: monitoring drift, debugging live systems, designing personalized pipelines, and making edge deployments work. Learn how to reduce failure modes, ship faster with MLOps best practices, and deliver consistent model performance with modern infra and observability stacks.

    For: MLOps professionals, infra engineers, and AI platform teams running models in the wild.

    This is your last chance to join at a 35% discount with the code BIGSAVE35.

    Note: Prices rise permanently after Friday (6th June, 2025) midnight.

    Frequently asked questions

    What is the format of the summit?

    The Packt Machine Learning Summit 2025 is a fully virtual event spanning three days, from July 16 to 18, 2025. It features live keynote sessions, interactive workshops, panel discussions, and networking opportunities. All sessions will be accessible online through our dedicated event platform.

    How do I register for the summit?

    Registration can be completed through our official Eventbrite page. Early bird discounts and group rates are available for a limited time.

    How interactive are the sessions?

    Our sessions are designed to be highly interactive. Attendees can participate in live Q&A segments, engage in real-time polls, and join breakout discussions during workshops. This format ensures active participation and a collaborative learning environment.

    Will I have access to the sessions after the event?

    Yes, all registered attendees will receive access to recorded sessions post-conference. This allows you to revisit presentations and workshops at your convenience.

    Can I interact with the speakers and other attendees?

    Absolutely! Our virtual platform includes features that facilitate networking, such as chat rooms, discussion forums, and one-on-one meeting scheduling. You can connect with speakers, panelists, and fellow attendees throughout the event.

    Will there be any opportunities for hands-on learning?

    Yes, we offer hands-on workshops led by industry experts. These sessions provide practical experience with current ML tools and techniques, allowing you to apply what you've learned in real-time.

    What if I have technical issues accessing the summit?

    Our support team will be available throughout the event to assist with any technical difficulties. Contact information and support channels will be provided upon registration.

    How can I contact the organizers for more information?

    For any additional questions or concerns, please reach out to our team at conferences@packt.com. We're here to help!

    What if I need to cancel my ticket?

    Our refund policy allows attendees to request a refund up to 7 days before the event starts. To request a refund, log in to your Eventbrite account, navigate to your tickets, and select the option to request a refund. Please note that refunds are processed according to our refund policy and may take

    Are group or bulk ticket purchases available?

    Yes, we offer group discounts for bulk ticket purchases. For example, purchasing 3 or more tickets may qualify for a 15% discount. To inquire about group rates or bulk purchases, please contact our support team at conferences@packt.com.

    What is the timezone of this event?

    All the sessions are planned in the ET timezone.

    Organized by

    From $199.99