Global AI Bootcamp

Presentation 1: pre-recorded keynote : https://www.youtube.com/watch?v=M6N-o2ONHRY
Presenter : Microsoft

Presentation 2 : Introduction in Generative AI Scripting |
Presenter : Andrei Ignat, http://msprogrammer.serviciipeweb.ro/
Description : Introduction and demo ( phi4, llama , gemma, openai ) for Generative AI Scripting https://microsoft.github.io/genaiscript/
I will present

how to start with AI on local ( ollama ) and on Azure,
how to improve a blog post ,
how to generate commit messages

. See other use cases at https://microsoft.github.io/genaiscript/getting-started/

Presentation 3: Agents, Agents, Agents! What AI agents are, and when (not) to build one
Presenter : Vlad Iliescu, https://vladiliescu.net/
Description : In this talk, we’ll explore the basics of AI-driven software agents: what they do, where they fit, and how they can occasionally create more headaches than they fix.
We’ll compare straightforward coding approaches and LLM-assisted options and discuss reliability, open-source implications, and the security angle (who would you trust to click and execute commands on your system?). By the end, you’ll have practical insights into deciding when an agent is the right call—and when it’s better to look elsewhere.

Presentation 4: Demystifying Function Calling with Microsoft Semantic Kernel
Presenter : Daniel Costea ,[ https://www.linkedin.com/in/danielcostea/](https://www.linkedin.com/in/danielcostea/)
Description :
This presentation explores function calling in the Microsoft Semantic Kernel, a key feature that connects AI models and executable code. While text generation is an essential and representative feature of AI, function calling is what truly makes an application smart, enabling dynamic function triggering based on user input for powerful AI integrations and automation. We will delve into how function calling is facilitating AI orchestration by data access and action execution, covering automatic vs. manual invocation modes and function choice behaviors. Participants will gain a comprehensive understanding of the basic concepts of function calling, practical applications and current developments in Semantic Kernel, enabling them to create truly intelligent and integrated AI solutions that go beyond simple text generation