This is session #4 of the 5-session online study series with Google Cloud, where we take you onto the journey learning generative AI. You’ll explore the dynamic landscape of Generative AI, gaining both theoretical insights and practical know-how of Google Cloud GenAI tools such as Gemini, Vertex AI, AI agents and Imagen 3.

1. Build with AI
on Google Cloud
Session #4 AI Agents
3/5/2025
Seattle | Surrey | Vancouver | Burnaby

2. GDG Seattle
2
Margaret Maynard-Reid
Yenchi Lin
Clive Boulton
Vishal Pallerla
I/O Extended 2019
2024 Build with AI
DevFest Seattle 2018
DevFest Seattle 2022
WTM Lightning Talks 2018
Cloud Study Jam 2018
DevFest Seattle 2017
DevFest Seattle 2016
DevFest Seattle 2015
DevFest Seattle 2024
Follow GDG Seattle on LinkedIn

3. GDG Surrey
3
Follow GDG Surrey on LinkedIn

4. GDG Vancouver
Follow GDG Seattle on LinkedIn
4
Follow GDG Vancouver on LinkedIn
Join our GDG Vancouver Community
Volunteer Interest Form

5. GDG Burnaby
GDG Burnaby Bevy | LinkedIn
5

6. Build with AI
on Google Cloud
Agenda
● Study series overview
● Talk 1: Jason Davenport, Google
● Talk 2: Henry Ruiz, ML GDE
● Q & A
Seattle | Surrey | Vancouver | Burnaby

7. Build with AI
on Google Cloud
Study series
overview
7

8. 8
Link to Story on Medium

9. Study series overview
Follow 5 generative AI paths on Google Cloud Skills Boost:
1. 1/22/25 - Beginner: Intro to GenAI (link)
2. 2/5/25 - Generate Smarter GenAI Outputs (link)
3. 2/19/25 - Build & Modernize Apps with GenAI (link)
4. 3/5/25 - Integrate GenAI into Your DataFlow (link)
5. 3/19/25 - Deploy & Manage GenAI Models (link)
Session topics are not limited to the above.
Each session: 2 short talks (by Googlers or experts) + Q&A section.
9

10. What is a CSB learning path?
A learning path has multiple courses
Each course has videos, recommended reading, quiz & hands-on labs.
You will have at least two weeks to work through the materials
It’s OK if you don’t finish and feel free to study ahead
10

11. Access to Cloud Skills Boost
● Sign up here: https://www.cloudskillsboost.google/
● By RSVP, you get free access for a few months
● The videos are accessible by default while labs each require a credit
● You can work on each GenAI paths before or after each session
Note: Make sure to sign up on Google Cloud Skills Boost with the same email that you used
for event RSVP.
11

12. Build with AI
on Google Cloud
Google Cloud
meets your agents
Jason Davenport
Tech Lead,
Google Cloud DevRel
12

13. Proprietary & Confidential
Agents present the biggest opportunity to drive business
impact with AI

14. Proprietary + Confidential
AI Agents plan, reason, and execute tasks for users
Generative AI Models
(An agent can use
multiple models)
APIs Functions
Databases Agents
Tools
Profile, goals &
instructions
short-term long-term
Memory
Model based
Reasoning/Planning
(Question Decomp &
Reflection)
End User
query
Agent Runtime
Orchestration
(e.g. Agent Brain)
response
Four Key Components
● Model: Used to reason over
goals, determine the plan and
generate a response
● Tools: Fetch data, perform
actions or transactions by
calling other APIs or services
● Orchestration: Maintain
memory and state (including
the approach used to plan),
tools, data provided/fetched,
etc
● Runtime: Execute the system
when invoked

15. Enterprise
Governance
Gemini API
Agent “inner-loop” &
built-in tools
(code-interpreter, search, etc)
Gemini Models
Optimized for agentic reasoning
and planning
Agent SDK
Agent Engine (Fully-managed runtime)
Business Users
Build agents without code
Tools and
Integrations
Agent “outerloop” orchestration
Trace
Logging
Example Store
Monitoring
Agentic
Autorater
Session
Management
Long-term
memory
Multimodal Intelligence Engine
Agentspace
Enterprise Connectors Knowledge Graph
Conversational Agents
part of Customer Engagement Suite
No-code agents, fully
managed runtime
Mix deterministic
flows and LLMs
Integrated analytics
and CICD
Platform integrations
Developer Platform
Develop agents with desired level of
abstraction
Off-the-shelf (SaaS)
Use Agents

16. Demo!
https://github.com/GoogleCloudPlatform/agent-starter-pack

17. Build with AI
on Google Cloud
17
Building a Job Matching
Tool with Multi-Verbal
Agent Collaboration
Henry Ruiz
Research Scientist,
Texas A&M University

18. LLMs as "reasoning engines"
LLM can model and understand natural language
https://www.promptingguide.ai/research/llm-reasoning
https://arxiv.org/pdf/2404.01230

19. Agents (An unified solution
for reasoning and Act)
Agents extend beyond text generation
(standalone LLM interaction),
incorporating advanced cognitive
functions such as reasoning,
planning, and decision-making.
By harnessing the advanced
capabilities of large language
models, agents can autonomously
execute complex tasks and solve
multifaceted problems.

21. Multi-agent and multi-modal applications
represent the state of the art
● Involve a group of agents with
diverse capabilities, including
language models and various tools.
● Agents work collaboratively to
address and solve complex tasks.
● Each agent may specialize in
different aspects of the problem,
contributing to the system's overall
effectiveness and efficiency.

23. 23
Code demo!

24. Build with AI
on Google Cloud
Q&A
24

25. Build with AI
on Google Cloud
Cloud Skills Boost
walkthrough
25

26. 26
Sign In -Google Cloud Skills Boost

27. 27
Explore Paths

28. More questions?
Post them on GDG Surrey
Discord server #gen_ai_gcp
28
Scan Me

29. Have fun studying!
Action items:
● Join discord - post your questions there
● Get access to Cloud Skills Boost credits
● Complete 4th GenAI path on CSB
● Get started on 5th GenAI path on CSB
Next session:
● Mar 19, 2025 - Session #5 MLOps (RSVP)
29

30. Upcoming events
Build with AI (Seattle) on 3/18/2025 - organized by Google Cloud
GDG Seattle cross-post Bevy page:
https://gdg.community.dev/events/details/google-gdg-seattle-presents-cross-
post-build-with-ai-hosted-by-google-cloud/
RSVP on the official event website:
https://rsvp.withgoogle.com/events/build-with-ai-seattle
30