Thank you for sending your enquiry! One of our team members will contact you shortly.
Thank you for sending your booking! One of our team members will contact you shortly.
Duration 7 hours
Course Outline
Foundations of AI Agents on Google Cloud
- Defining AI agents and distinguishing them from traditional chatbots and standard AI applications.
- Identifying common enterprise use cases for agent deployment.
- Reviewing the key Google Cloud services relevant to agent development.
Designing Agent Architecture
- Understanding core agent components: models, instructions, tools, memory, and workflows.
- Selecting the appropriate level of agent capability for specific business scenarios.
- Crafting effective instructions and establishing basic operational guardrails.
Building an Agent with Vertex AI and Gemini
- Setting up the Google Cloud environment for development tasks.
- Creating foundational agents using Vertex AI and Gemini models.
- Testing prompts, responses, and basic agent behaviors to ensure functionality.
Connecting Agents to Tools and Data
- Enabling tool usage through APIs and function calling mechanisms.
- Linking agents to business data to generate grounded and accurate responses.
- Enhancing system reliability, relevance, and overall response quality.
Deploying and Operating Agents
- Evaluating deployment strategies for agent solutions on Google Cloud.
- Implementing monitoring, logging, and basic performance evaluation techniques.
- Addressing security, access control, and responsible AI considerations.
Practical Workshop and Next Steps
- Developing a simple agent for a realistic business scenario.
- Assessing design decisions and identifying opportunities for improvement.
- Planning pilot projects and outlining paths for further learning.
Requirements
- Fundamental knowledge of cloud computing principles and web application architecture.
- Working familiarity with APIs, JSON, and Google Cloud services or comparable cloud platforms.
- Basic proficiency in programming with Python, JavaScript, or another contemporary language.
Target Audience
- Developers looking to implement AI agents on the Google Cloud platform.
- Technical leads and solution architects evaluating agent-based application architectures.
- Data and AI practitioners seeking hands-on experience with Vertex AI's agent capabilities.
