Machine Learning Summit 2025: Applied ML Engineering to GenAI and LLMs
LLMs, Agents, & Real-World ML – 3 Days. 20+ Experts. 100% Practical
Date and time
Location
Online
Refund Policy
Agenda
10:00 AM - 10:15 AM
Opening Remarks: “The Edge of ML Frontiers”
10:15 AM - 11:00 AM
Agentic Graph RAG
Anthony Alcaraz
11:00 AM - 11:45 AM
TBC
11:45 AM - 12:30 PM
Autonomous Agents
Imran Ahmad
12:30 PM - 1:00 PM
Break
1:00 PM - 1:45 PM
Multimodal AI: Vision, Language, and Audio
1:45 PM - 2:30 PM
The Open-Source Edge: Democratizing AI
2:30 PM - 3:00 PM
Closing Panel: “From Ethics to Alignment: What’s Next for Responsible AI?”
3:00 PM - 4:00 PM
Power Agentic AI with Open-Source Data Pipelines
Andrew Madson
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
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.
Registration can be completed through our official Eventbrite page. Early bird discounts and group rates are available for a limited time.
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.
Yes, all registered attendees will receive access to recorded sessions post-conference. This allows you to revisit presentations and workshops at your convenience.
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.
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.
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.
For any additional questions or concerns, please reach out to our team at conferences@packt.com. We're here to help!
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
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.
All the sessions are planned in the ET timezone.