Philipp Schmid

Beyond Chatbots: How to build Agentic AI systems

Is your AI stuck in a predefined workflow? Learn to build agentic systems that use an LLM to reason, plan, and execute complex tasks.

Beyond Chatbots: How to build Agentic AI systems
#1about 4 minutes

Tracing the evolution from language models to AI agents

The history of AI agents is traced from simple text completion models to complex, multi-step reasoning systems using frameworks like ReAct.

#2about 2 minutes

Defining the core components of an AI agent

An AI agent is a system where an LLM decides the application's control flow using reasoning, memory, and tools.

#3about 4 minutes

Exploring common design patterns for building AI agents

Several composable patterns like reflection, tool use, planning, and multi-agent collaboration provide structured approaches for building agentic systems.

#4about 1 minute

Why design patterns are crucial for scalable agents

Agentic design patterns are essential building blocks that provide structure, enable composition, and improve the testability of complex AI applications.

#5about 4 minutes

Evaluating agent reliability over model capability

Agent evaluation shifts focus from single-attempt model capability to multi-attempt reliability, requiring custom benchmarks to measure real-world task success.

#6about 3 minutes

Moving from prompt engineering to context engineering

Context engineering expands on prompt engineering by systematically providing the right information, tools, and memory to the LLM at the right time.

#7about 4 minutes

Building agents with Google Gemini and open source tools

You can build agents using Google Gemini through AI Studio, the native SDK, or integrations with open-source libraries like LangChain and CrewAI.

#8about 2 minutes

Predictions on the future impact of AI agents

Future agentic systems are predicted to enable zero-cost software creation, personalized multimodal interfaces, and accelerated adoption in robotics.

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Matching moments

How agentic AI forces a rethink of software engineering
06:07 MIN

How agentic AI forces a rethink of software engineering

WeAreDevelopers LIVE - SpeculAItions

The evolution from chatbots to autonomous AI agents
04:47 MIN

The evolution from chatbots to autonomous AI agents

On a Secret Mission: Developing AI Agents

Understanding the core components of agentic AI systems
02:48 MIN

Understanding the core components of agentic AI systems

Agentic AI Systems for Critical Workloads

Understanding the core components of an AI agent
03:01 MIN

Understanding the core components of an AI agent

Agentic AI - From Theory to Practice: Developing Multi-Agent AI Systems on Azure

Tracing the evolution from LLMs to agentic AI
03:38 MIN

Tracing the evolution from LLMs to agentic AI

Exploring LLMs across clouds

Understanding the practical challenges of agentic AI
04:52 MIN

Understanding the practical challenges of agentic AI

Securing AI Agents from the Ground Up - Luke Hinds

Understanding the shift to the agentic era
01:31 MIN

Understanding the shift to the agentic era

Event-Driven Architecture: Breaking Conversational Barriers with Distributed AI Agents

Building enterprise-grade AI agentic solutions
02:43 MIN

Building enterprise-grade AI agentic solutions

AI for Enterprise Developers - Dr. Damir Dobric

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Jobs that call for the skills explored in this talk.

Data & AI Architect

Data & AI Architect

Ai Agents

Intermediate
Azure
Redshift
Google BigQuery
Microsoft Office
Google Cloud Platform
+1
Data & AI Architect

Data & AI Architect

Ai Agents

Intermediate
Azure
Redshift
Google BigQuery
Microsoft Office
Google Cloud Platform
+1