Hands-On LLM Engineering with Python (Part 1) 2025-12-18 · 18:00

REGISTER BELOW FOR MORE AVAILABLE DATES! ↓↓↓↓↓ https://luma.com/stelios

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Who is this for?

Students, developers, and anyone interested in using Large Language Models (LLMs) to build real software solutions with ** Python.

Tired of vibe coding with AI tools? Want to actually understand and own your code, instead of relying on black-box magic? This session shows you how to build LLM systems properly, with full control and clear engineering principles. Who is leading the session?

The session is led by Dr. Stelios Sotiriadis, CEO of Warestack, Associate Professor and MSc Programme Director at Birkbeck, University of London, specialising in cloud computing, distributed systems, and AI engineering.

Stelios holds a PhD from the University of Derby, completed a postdoctoral fellowship at the University of Toronto, and has worked on industry and research projects with Huawei, IBM, Autodesk, and multiple startups. Since moving to London in 2018, he has been teaching at Birkbeck. In 2021, he founded Warestack, building software for startups around the world. What we’ll cover?

A hands-on introduction to building software with LLMs using Python, Ollama, and LiteLLM, including:

How LLMs, embeddings, and agents work.
Calling local models with Ollama or cloud models (OpenAI, Gemini and more).
Using LiteLLM for custom prompts and tool-calling.
Building simple agents from scratch.
Introduction to RAG (Retrieval-Augmented Generation).
Working with vector databases (ChromaDB) and vector similarity search library (FAISS).
Storing, searching, and retrieving embeddings.
Introduction to Streamlit for interactive data apps.
End-to-end examples you can run on your own machine.

This session focuses on theory, fundamentals and real code you can re-use.

Why LiteLLM?

LiteLLM gives you low-level control to build custom LLM solutions your own way, without a heavy framework like LangChain, so you understand how everything works and design your own architecture. A dedicated LangChain session will follow for those who want to go further.

What are the requirements?

Bring a laptop with Python installed (Windows, macOS, or Linux), along with Visual Studio Code or a similar IDE, with at least 10GB of free disk space and 8GB of RAM.

This space is needed for running local models during the workshop. If you don’t have a suitable laptop, please contact Stelios ([email protected]) before registering.

What is the format?

A 3-hour live session with:

Interactive theory blocks
Hands-on coding
Step-by-step exercises
Small group support
Three 10-minute breaks
Q&A and class quizzes

This is a highly practical, hands-on class focused on code and building working LLM systems.

What are the prerequisites?

A good understanding of programming with Python is required (basic to intermediate level). I assume you are already comfortable writing Python scripts.

What comes after?

Participants will receive an optional mini capstone project with one-to-one personalised feedback.

Is it just one session?

This is the first session in a new sequence on applied AI, covering agents, RAG systems, vector databases, and production-ready LLM workflows. Later sessions will dive deeper into topics such as embeddings with deep neural networks, LangChain, advanced retrieval, and multi-agent architectures.

You can decide afterwards whether you’d like to join future sessions.

How many participants?

To keep this interactive, only 15 spots are available. Please register as soon as possible.

Hands-On LLM Engineering with Python (Part 1)

🫶 Lovable Community Mastermind: Pitch 🔆 Feedback 🚀 Network 🫶 2025-12-09 · 17:30

About the Hosts

**Elena Avramenko & Dmitrii (Dima) Abramov - Lovable **🫶 Ambassadors, Amsterdam ❌❌❌

Elena Avramenko Product and growth leader with 15+ years at Microsoft, Miro, and LEGO. Currently building modaal.dev, an AI coding agent that lets non-engineers ship real native iOS and Android apps from plain-language prompts. She also partners with startups and scaleups as a fractional leader, helping teams accelerate growth and ship bold ideas fast.

Dmitrii (Dima) Abramov Product Lead @ Foundever and creator of the Vibe Coding community in Amsterdam. He helps people turn ideas into testable prototypes through strong discovery, rapid prototyping, and AI-assisted building. As a Lovable Ambassador, he hosts events that help builders learn, build, and ship with AI.

What This Event Is

A year-end mastermind session for builders. Bring your idea, prototype, landing page, MVP, or GTM challenge. Pitch it in 5–10 minutes and get fast, honest, actionable feedback from people who build and ship products. This is not a lecture. It’s open-mic pitches, structured feedback rounds, and relaxed networking over drinks.

📩 Pitch slots are limited — choose “I want to pitch” when registering. 🎁 Bonus: Best pitch wins 300 Lovable credits.

This Meetup Is For You If…

You built something but don’t know the next step
You need validation before investing more time
You’re stuck on positioning, pricing, or GTM
You want to meet other builders
You’re exploring AI-powered product building

Format

18:30–18:50 — Check-in & networking 18:50–19:00 — Welcome + how the mastermind works 19:00–19:10 — Sponsor spotlight: Kreyo.ai 19:10–20:00 — Open-mic pitches (10 min each) + structured feedback 20:00–20:10 — Sponsor spotlight: Xolo 20:10–21:00 — Networking & conversations

What You Can Pitch

A new idea you want to validate
A prototype or MVP
A landing page, feature, or experiment
A positioning, pricing, or messaging challenge

What to Prepare

1–2 slides or a demo link
One clear ask (e.g., “Does this value prop resonate?”)

Listening without pitching is also welcome.

What Happens After

Past attendees have:

Refined their pricing and landed first customers
Identified their true target audience
Found collaborators
Gotten unstuck and shipped their product

Goal: Momentum, clarity, community. 🚀

Supported By

Xolo Xolo.io makes solopreneurship simpler than employment. It handles taxes, compliance, and admin so you can focus on building your business, not paperwork. Trusted by 4,000+ customers across Spain, Italy, and the Netherlands. Get 1 month FREE here!

Kreyo Production-ready security for vibe-coded apps. Scan your GitHub repo, find real vulnerabilities, and fix them instantly using AI-generated prompts inside Lovable, Replit, Cursor, or Vercel.

🫶 Lovable Community Mastermind: Pitch 🔆 Feedback 🚀 Network 🫶

Turn Your Knowledge into an LLM‑Ready API - Hackathon @ Generation AI 2025-12-09 · 07:30

From Tuesday, December 9 (11:30 - 18:00) to Wednesday, December 10, 2025 (08:45 – 18:00), Paris becomes the epicenter of context-integrated GraphRAG. Join top builders, researchers, and engineers to prototype the next generation of Model Context Protocol integrations for graphRAG databases — and explore how structured memory can unlock reasoning at scale.

Space is limited and we’re screening for hands-on talent. If you work with LLMs, RAG, or graph-based reasoning, secure your spot early — once full, the waitlist opens.

The Hackathon is part of Generation AI Paris 2025 — a 3-day explosion of innovation with 8,000+ attendees, 300+ sessions, and 100+ speakers. You’re getting the full package: keynotes, track sessions, workshops… and all the networking breakfasts and lunches. Golden Pass Value: Your acceptance grants you a free pass to GenerationAI, apidays, AND GreenIO Paris—that’s 4 conferences normally valued at 999€, for the price of zero: To access the apidays conference component, use this promo link for a Regular Ticket.

Model Context Protocol Integrations for GraphRAG We’re bridging the gap between language models and structured data systems. Expect a full day of experimentation around:

Context persistence across graph nodes
Dynamic retrieval and reasoning from structured sources
Hybrid memory architectures (Graph + RAG)
MCP interfaces for multi-agent collaboration and explainability
Visual query builders and interpretable context trails

Whether you’re a backend engineer, data scientist, or AI tinkerer, bring your boldest ideas — we’ll connect you with mentors and teammates to make them real. --- We’ll reward projects that are working, elegant, and context-smart. Extra points for:

Seamless MCP ↔ Graph integration
Context-aware reasoning or dynamic retrieval
Real-world usefulness and open-source potential
Clear UX for developers and data teams

--- The Hackathon is part of Generation AI Paris 2025 — a 3-day explosion of innovation with 8,000+ attendees, 300+ sessions, and 100+ speakers. You’re getting the full package: keynotes, track sessions, workshops… and all the networking breakfasts and lunches (because who codes on an empty stomach?). But here’s the kicker: your acceptance isn’t just for the hackathon. It’s a golden pass to GenerationAI, apidays, AND GreenIO Paris. That’s 4 conferences — normally valued at 999€ — for the price of zero. Yes… we said zero. You’re welcome. --- 🏆 What You Win: We recognize excellence in GraphRAG and MCP integration!

Scalingo Credits: The overall winning team and the winners of the Scalingo track each receive a €270 coupon code for the PaaS.
The Ultimate Pass: All attendees gain a free “Golden Pass” granting access to GenerationAI, apidays, and GreenIO Paris (a €999 value).

Come build smart context and walk away with credits and conference access! 🧠💳

The Hackathon is part of Generation AI Paris 2025 — a 3-day explosion of innovation with 8,000+ attendees, 300+ sessions, and 100+ speakers. You’re getting the full package: keynotes, track sessions, workshops… and all the networking breakfasts and lunches (because who codes on an empty stomach?). But here’s the kicker: your acceptance isn’t just for the hackathon. It’s a golden pass to GenerationAI, apidays, AND GreenIO Paris. That’s 4 conferences — normally valued at 999€ — for the price of zero. Yes… we said zero. You’re welcome.

Sponsors

Neo4j - Neo4j is a leading graph database platform that empowers AI developers to harness the power of connected data. Their technology enables efficient storage\, analysis\, and visualization of complex data relationships\, integrating seamlessly with popular AI and machine learning tools. Neo4j’s features\, including native graph storage and advanced algorithms\, make it ideal for powering AI applications like knowledge graphs and recommendation systems\, helping developers extract deeper insights from their data.

Scalingo is a European Platform as a Service (PaaS) designed to simplify cloud hosting and database management for developers. It enables rapid deployment, management, and scaling of web applications, supporting over 50 runtimes and integrating seamlessly with major databases like PostgreSQL, MySQL, and MongoDB. With features like auto-scaling, continuous deployment, real-time monitoring, and robust security, Scalingo empowers tech teams to focus on coding rather than infrastructure. New users can enjoy a 30-day free trial to experience its developer-friendly environment and top-notch support.

Sponsor opportunities

The Hackathon is part of Generation AI Paris 2025 — a 3-day explosion of innovation with 8,000+ attendees, 300+ sessions, and 100+ speakers. You’re getting the full package: keynotes, track sessions, workshops… and all the networking breakfasts and lunches. Golden Pass Value: Your acceptance grants you a free pass to GenerationAI, apidays, AND GreenIO Paris—that’s 4 conferences normally valued at 999€, for the price of zero: To access the apidays conference component, use this promo link for a Regular Ticket. We review applications daily — keep an eye on your inbox (and spam folder). If your plans change, please release your spot so someone else can join.

Hit Register above. Share your GitHub / LinkedIn / X handle and tell us what you’ll build. Let’s connect LLMs and Graphs — and prototype the next leap in contextual intelligence, powered by Scalingo and Neo4

Turn Your Knowledge into an LLM‑Ready API - Hackathon @ Generation AI

AI Dev Tools Zoomcamp 2025 Course Launch 2025-11-18 · 16:00

Alexey Grigorev, the course creator, will officially start the new cohort of the AI Dev Tools Zoomcamp in this live session. He’ll walk you through the course structure, key topics, and what you’ll build. What You’ll Learn During the Session

Alexey will walk you through:

What’s included in the course: topics, tools, and hands-on projects
How assignments, feedback, and scoring work
How to approach the material, even if you’re new to ML
What it’s like to learn together with thousands of learners in the DataTalks.Club community

You’ll also have a chance to ask Alexey your questions live. Thinking About AI Dev Tools Zoomcamp? AI Dev Tools Zoomcamp 2025 is a free 6-week course that takes you from experimenting with AI coding assistants to building your own coding agent and automating workflows. Over six modules, you’ll learn vibe coding, build and deploy a React + FastAPI project, extend assistants with the Model Context Protocol (MCP), create an AI agent that scaffolds Django apps, apply AI in testing and DevOps, and use low-code tools like n8n for automation.

The new cohort of the AI Dev Tools Zoomcamp starts on November 18, 2025. You can join by registering here. About the Speaker

Alexey Grigorev is the Founder of DataTalks.Club and creator of the Zoomcamp series. Alexey is a seasoned software and ML engineer with over 10 years in engineering and 6+ years in machine learning. He has deployed large-scale ML systems at companies like OLX Group and Simplaex, authored several technical books including Machine Learning Bookcamp, and is a Kaggle Master with a 1st place finish in the NIPS'17 Criteo Challenge.

Join our slack: https://datatalks.club/slack.html

AI Dev Tools Zoomcamp 2025 Course Launch

Data Vibe Coding with AI: Prompting Strategies That Actually Work 2025-11-06 · 14:00

Welcome to DSF Sandbox Sessions!

Top tech talks and masterclasses from the best in the industry. Every month, and completely free. The catch? There isn’t one. Just a monthly dose of epic content to power up your data passion!

Event details 📆 Date: Thursday 6th November 2025 ⏰ Time: 2 – 4 PM GMT/9–11 AM EST 💡 Topic: Data Vibe Coding with AI: Prompting Strategies That Actually Work 🗣️ Speakers: Greg Michaelson and Jean-Dominique Mercury from Zerve.

How do you get the best results when coding with AI? Should you craft one big, complex prompt and hope for the best, or start small and refine as you go? In this hands-on session, we’ll explore “vibe coding,” the art of shaping your AI prompts so that your code agent works with you instead of against you. You’ll learn practical techniques for structuring prompts, steering outputs, and avoiding common dead ends. Along the way, we’ll build something real together in Zerve, giving you the chance to try it out live, ask questions, and see how different prompting styles play out in practice. While we’ll be working inside Zerve for the live demo, the prompting principles and vibe coding techniques you’ll learn apply to any AI coding tool or workflow.

Watch live and you’ll also earn a Data Vibe Coding 101 Certificate of Completion from The Data Science Festival and Zerve.

Join us for an interactive two-hour code-along hosted with the Data Science Festival on November 6th 2025. Whether you’re a data scientist, analyst, or engineer, you’ll come away with a set of prompting strategies you can immediately apply in your own workflow. These skills are platform-agnostic and designed to improve how you collaborate with AI in any environment.

We’ll cover:

When to go broad vs. when to go step-by-step with your prompts
How to use corrective prompts to guide your AI agent toward the right solution
Common pitfalls that derail AI-assisted coding—and how to avoid them

This isn’t a passive lecture. You’ll sign up, bring a dataset of your choice, and follow along as we build something from scratch. You’ll get hands-on practice inside Zerve, learn techniques you can use anywhere, and leave with both a finished project and a deeper sense of how to get into the “flow” of coding with AI.

This event is for anyone curious about vibe coding for data, from complete beginners to seasoned tech enthusiasts. No prior coding experience needed, just curiosity. In the second half, step into the sandbox: bring a dataset you want to explore, and get hands-on with support from two Zerve experts. They’ll help you play, learn, and build, answering questions and levelling up your skills at any stage.

Save time by creating a free account on Zerve that you’ll use for data vibe coding during the workshop. Simply go to https://www.zerve.ai/?utm_source=dsf-vibes from a desktop/laptop, click ‘Try Zerve Now’ and complete the sign up process with a Google account or your email address and a password ahead of the event.

Registering for the event: Click the 'Sign up here!' button on the specific event page following the link below. Once you have completed the registration form, you will be emailed a link to join the webinar. You will also receive a reminder link one week, one day and one hour prior to the event.

PLEASE NOTE: Clicking 'attend' on Meetup does not register you for the event. You will need to register for the event on the link provided below to receive a joining link. If you do not, you will not be able to join the event.

Click here to sign up for this specific event

Please note the time zone when you book this event.

Data Vibe Coding with AI: Prompting Strategies That Actually Work

AI Dev Tools Zoomcamp 2025 Pre-Course Live Q&A 2025-11-04 · 16:00

Curious about the AI Dev Tools Zoomcamp 2025? Join us for a live, interactive Q&A session with course creator Alexey Grigorev and get all your questions answered before the new cohort begins on November 18, 2025. What You’ll Learn During the Session

Alexey will walk you through:

Course curriculum: An overview of the topics, tools, and real-world projects you'll work on
Assignments and grading: How homework and peer reviews are structured
Getting help and feedback: How support works during the course and in the community
Portfolio-building projects: Which hands-on projects you will build during the course to showcase your skills
Learning with the community: How to engage with 79k+ learners in the DataTalks.Club Slack

He’ll also share tips on how to follow the material effectively, pace your learning, and stay motivated throughout the course.

You’ll get a chance to meet the instructor, learn more about the course structure, and ask your questions. Thinking About AI Dev Tools Zoomcamp?

AI Dev Tools Zoomcamp 2025 is a free 6-week course that takes you from experimenting with AI coding assistants to building your own coding agent and automating workflows. Over six modules, you’ll learn vibe coding, build and deploy a React + FastAPI project, extend assistants with the Model Context Protocol (MCP), create an AI agent that scaffolds Django apps, apply AI in testing and DevOps, and use low-code tools like n8n for automation.

The new cohort of the AI Dev Tools Zoomcamp starts on November 18, 2025. You can join by registering here. About the Speaker

Alexey Grigorev is the Founder of DataTalks.Club and creator of the Zoomcamp series. Alexey is a seasoned software and ML engineer with over 10 years in engineering and 6+ years in machine learning. He has deployed large-scale ML systems at companies like OLX Group and Simplaex, authored several technical books including Machine Learning Bookcamp, and is a Kaggle Master with a 1st place finish in the NIPS'17 Criteo Challenge.

Join our slack: https://datatalks.club/slack.html

AI Dev Tools Zoomcamp 2025 Pre-Course Live Q&A

Scaling evaluation systems for agentic platforms from prototype to prod 2025-10-30 · 18:00

Please, register for the event here

This webinar looks to develop strategies for mastering cost-effective AI agent evaluation at scale using stratified sampling, risk-based testing, and multi-stage screening to cut costs while maintaining enterprise-grade quality control.

This webinar will share key insights on AI agent evaluation and highlight how to:

Cut evaluation costs through stratified sampling across personas and risk-based prioritisation, focusing resources on high-impact, high-variance scenarios rather than exhaustive testing.
Build progressive evaluation systems using multi-stage screening that catches obvious issues cheaply, then applies deeper evaluation only where needed - balancing "vibes" for content vs rigorous testing for critical processes.
Implement enterprise-ready observability with OpenTelemetry telemetry, persona coverage maps, and continuous calibration frameworks that adapt as your agentic platform scales and models evolve

After a 30-minute talk there’ll be a 15-minute Q&A, for which we encourage you to submit questions in advance. A webinar recording and related materials will be shared with all attendees after the event.

Disclaimer: We use Zoom for the webinar stream. The link to the webinar will be sent upon your registration to your email.

Speaker: Glyn Darkin - Global Head of Delivery @ ClearRoute

Having worked in roles ranging from cold caller, marketer and lead engineer in several start-ups to Chief Architect in a Global SI, Glyn Darkin’s jack-of-all-trades aptitude and engineer’s mindset is a winning combination in his role as Global Head of Delivery. Quick to grasp the most convoluted business issue, he has an impressive track record of using technology to solve client problems. His past achievements include developing an award-winning digital mortgage product for a leading bank, and building TescoEntertainment

Fascinated by AI, Glyn’s current obsession is staying ahead of the sweeping changes it brings. At home, he spends his evenings coding to fully understand how the technology will affect not only ClearRoute’s ways of working, but the types of products and platforms we implement for our customers.

Scaling evaluation systems for agentic platforms from prototype to prod

Scaling evaluation systems for agentic platforms from prototype to prod 2025-10-30 · 18:00

Please, register for the event here

This webinar looks to develop strategies for mastering cost-effective AI agent evaluation at scale using stratified sampling, risk-based testing, and multi-stage screening to cut costs while maintaining enterprise-grade quality control.

This webinar will share key insights on AI agent evaluation and highlight how to:

Cut evaluation costs through stratified sampling across personas and risk-based prioritisation, focusing resources on high-impact, high-variance scenarios rather than exhaustive testing.
Build progressive evaluation systems using multi-stage screening that catches obvious issues cheaply, then applies deeper evaluation only where needed - balancing "vibes" for content vs rigorous testing for critical processes.
Implement enterprise-ready observability with OpenTelemetry telemetry, persona coverage maps, and continuous calibration frameworks that adapt as your agentic platform scales and models evolve

After a 30-minute talk there’ll be a 15-minute Q&A, for which we encourage you to submit questions in advance. A webinar recording and related materials will be shared with all attendees after the event.

Disclaimer: We use Zoom for the webinar stream. The link to the webinar will be sent upon your registration to your email.

Speaker: Glyn Darkin - Global Head of Delivery @ ClearRoute

Having worked in roles ranging from cold caller, marketer and lead engineer in several start-ups to Chief Architect in a Global SI, Glyn Darkin’s jack-of-all-trades aptitude and engineer’s mindset is a winning combination in his role as Global Head of Delivery. Quick to grasp the most convoluted business issue, he has an impressive track record of using technology to solve client problems. His past achievements include developing an award-winning digital mortgage product for a leading bank, and building TescoEntertainment

Fascinated by AI, Glyn’s current obsession is staying ahead of the sweeping changes it brings. At home, he spends his evenings coding to fully understand how the technology will affect not only ClearRoute’s ways of working, but the types of products and platforms we implement for our customers.

Scaling evaluation systems for agentic platforms from prototype to prod

[AI Alliance] Build AI Apps Fast with Langflow 2025-10-30 · 16:00

This is an intro talk for Langflow, a open source visual IDE devs can use to quickly create and iterate on agentic and generative AI workflows for applications. Model and vector store agnostic, no license, no vendor tie-in, just build AI flows and connect them to your app. We’ll build out some basic AI agents, a RAG pipeline, use MCP tools, and demonstrate a basic application using a Langflow AI agent.