AI Agent Bootcamp: Building, Configuring, and Deploying with Python

A deep dive into AI agent development:
foundational knowledge and practical application

Understand the core concepts of AI agents
Build and deploy your first agent with aiXplain
Create collaborative multi-agent systems
Use Python to define tools, memory, and behaviors

Learn from the experts

  • Developer Advocate

    Sonam Gupta

    Sonam Gupta is a Senior Developer Advocate at aiXplain with a PhD in Data Science. She specializes in bridging the gap between complex AI technologies and developer communities by creating accessible, engaging content. With a strong background in data science, AI research, and developer engagement, she is passionate about democratizing AI through storytelling, community-building, and creative outreach.
  • AI/ML Research Engineer

    Lucas Pavanelli

    Lucas Pavanelli has 3+ years of versatile experience building and deploying production-ready machine learning models and researching and experimenting with novel ideas in the Natural Language Processing (NLP) field. He is an AI/ML Research Engineer with cross-domain experience and knows the startup environment well. He is a fast worker who works backward from the product specifications. In aiXplain, Lucas is currently leading the technical development of the FineTune product, allowing users to select their dataset and fine-tune different NLP models (LLM, MT, ASR) using suppliers such as Hugging Face, OpenAI, and Azure. His work involves both the specification of technical tasks and the development of main functions for the product. Lucas researches NLP and has co-authored five peer-reviewed scientific papers, two with the aiXplain Science team. He keeps up with current AI research and sees opportunities to apply new ideas to aiXplain products.

The recorded session is available to watch on YouTube.

  • 1.5 hours online training – foundational concepts + guided demos
  • 2 hours hands-on agent building with live Q&A
  • 30 minutes for agent showcases and wrap-up

Requirements

  • Limited to 50 participants
  • Python experience required
  • Read and learn offline training materials shared before the workshop starts.

Syllabus

  1. Introduction to AI agents
  2. Building and deploying your first agent
  3. Creating multi-agent systems
  4. Implementing Agentic RAG (retrieval-augmented generation)

Would you like to see more videos?

Below is a list of the tech talks that we have recently hosted.

29 January 2025

Fine-tuning Gemma 2 for Italian and beyond
14 January 2025

Wait, I can explain! Personalised Explanations with Multimodal and Explainable AI
20 August 2024

AI-Powered Thermal Earth Observation: Advancing Wildfire Detection and Risk Prediction from Ground to Orbit