Google MEET LINK:    https://meet.google.com/fzm-xteq-cgg

AI is moving beyond chatbots toward autonomous, goal-driven agents that can reason, use tools, retrieve information, maintain context, and take action.

Join us for a free introductory session on Agent Engineering—the discipline of designing, building, evaluating, and operating reliable AI agents.

During this session, we will move beyond the hype and examine what makes an AI system genuinely agentic. You will also see a live demonstration of an AI agent and learn about the upcoming hands-on Agent Engineering course offered through GDG San Jose.

What We Will Cover

• What an AI agent is—and how it differs from a chatbot or traditional application

• The core agent loop: observe, reason, act, and evaluate

• Tools, prompts, memory, context, and structured outputs

• When an agent is the right solution—and when deterministic software is better

• Common agent architecture and orchestration patterns

• Reliability, guardrails, human approval, and evaluation

• A live demonstration of an end-to-end AI agent

• Overview of the complete Agent Engineering course and hands-on project

Live Project Preview

The course follows the progressive development of a practical AI Sales Development Representative agent.

Students will learn how to build the agent incrementally—from a simple prototype to a reliable system with tools, business context, memory, evaluation, guardrails, observability, and production controls.

Upcoming Course

The complete course is a hands-on learning program covering:

1. Agentic systems and design principles

2. Development environment and project structure

3. Prompts, context, and business rules

4. Tool use and structured outputs

5. Agent workflows and orchestration

6. Memory and retrieval

7. Reliability and error handling

8. Guardrails and human approval

9. Evaluation and observability

10. Production readiness and deployment

Each class combines:

• Conceptual instruction

• Live coding

• Guided implementation

• Practical exercises

• A cumulative reference project

• Supporting book chapters and source code

Who Should Attend

This session is suitable for:

• Software developers and architects

• Data scientists and ML engineers

• Technical product managers

• Technology leaders and consultants

• Researchers and students

• Anyone interested in building reliable AI agents

You do not need prior experience building agents. Basic familiarity with Python, APIs, or generative AI will be helpful for the full course.

Course Enrollment

At the end of the session, attendees will receive:

• The detailed course curriculum

• Class schedule and participation requirements

• Access to the course registration form

• Early enrollment information

• Details about the companion book and reference implementation

Seats for the hands-on cohort will be limited to preserve interaction, live support, and project feedback.