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Course Outline
Foundations of AI Agents on Google Cloud
- Distinguishing AI agents from standard chatbots and traditional AI applications.
- Identifying common enterprise use cases where agents add value.
- Overview of the specific Google Cloud services utilized in agent development.
Designing Agent Architecture
- Understanding the core elements of an agent, including the model, instructions, tools, memory, and workflow.
- Selecting the appropriate level of agent capability for specific business scenarios.
- Crafting effective instructions and establishing foundational guardrails.
Constructing an Agent with Vertex AI and Gemini
- Setting up the Google Cloud environment for development.
- Utilizing Vertex AI and Gemini models to instantiate a basic agent.
- Testing prompts, responses, and initial agent behaviors.
Integrating Agents with Tools and Data
- Implementing tool usage through APIs and function calling.
- Linking the agent to business data to ensure grounded and accurate responses.
- Enhancing reliability, relevance, and overall response quality.
Deploying and Managing Agents
- Exploring deployment strategies for agent solutions on Google Cloud.
- Implementing monitoring, logging, and basic performance evaluation.
- Addressing security, access control, and responsible AI practices.
Practical Workshop and Future Steps
- Developing a simple agent for a realistic business scenario.
- Reviewing design decisions and identifying areas for improvement.
- Planning next steps for pilot projects and continued learning.
Requirements
- Fundamental knowledge of cloud computing principles and web application architecture.
- Proficiency with APIs, JSON, and experience with Google Cloud or comparable cloud platforms.
- Foundational programming skills in Python, JavaScript, or another contemporary programming language.
Target Audience
- Developers seeking to implement AI agents on the Google Cloud platform.
- Technical leaders and solution architects investigating agent-based application solutions.
- Data and AI specialists looking to gain practical experience with Vertex AI's agent features.
7 Hours
